Department of Electrical and Electronic Engineering
EEE OBE Curriculum
153 credits make up the curriculum of the B.Sc. in EEE program. Three courses (8.5 credits) in the Language and General Education Courses group are devoted to the development of language and communication skills, three courses (9 credits) foster an understanding of business and management, and two courses (4 credits) nurture the thinking capabilities of students with ethical foundation, environmental safety, societal concern and proud history of Bangladesh. The Basic Science and Mathematics Courses group consists of five physical science courses (10.5 credits) and six mathematics and statistics courses (16.5 credits) with cutting-edge laboratories. Students get a fruitful insight into CSE, Civil, ME discipline through other engineering courses of total 7 credits. The 79.5 credits that make up the Core courses group, including capstone courses, are made up of more than 30 courses that cover a wide range of electrical, electronic, and communication disciplines while also imparting the most recent information in the related fields. Moreover, students enroll 18 credits from any one of the four elective group of courses- power, electronics, communication, computer engineering- to earn specialization in a particular sector.
The courses are divided into sections that cover fundamental engineering concepts in the first two years and more advanced knowledge-based topics in the third and final year. Two semesters, Fall and Spring, make up an academic year. Prerequisites are incorporated into each semester's courses as a way to guarantee that students complete a necessary course before moving on to the next one with the necessary background knowledge. 1st to 6th semester's courses are offered as a block to freshmen; elective courses are offered in 7th and 8th semesters as open credit systems, allowing students to enroll as per the specializations they required.
Any curriculam modifications are being communicated to the students. The departmental website offers students with the most recent information.
A list of course types and required Credit is Given below
Twelve Pos/PLOs have been defined in accordance with the department of EEE's mission and vision statements. These are statements that specify what students should understand and be able to do by the time they have graduated. These include the skills, knowledge, and behaviors that students acquire during their program matriculation. The extended definition of POs/PLOs is provided below.
(a) Engineering knowledge: Apply knowledge of mathematics, natural science, engineering fundamentals and an engineering specialization as specified in K1 to K4 respectively to the solution of complex engineering problems.
(b) Problem analysis: Identify, formulate, research literature and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. (K1 to K4)
(c) Design/development of solutions: Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations. (K5)
(d) Investigation: Conduct investigations of complex problems using research-based knowledge (K8) and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
(e) Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering problems, with an understanding of the limitations. (K6)
(f) The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solutions to complex engineering problems. (K7)
(g) Environment and sustainability: Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex engineering problems in societal and environmental contexts. (K7)
(h) Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. (K7)
(i) Individual work and teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
(j) Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
(k) Project management and finance: Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
(l) Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
The knowledge profile should have eight attributes (K1 to K8), indicating the volume of learning and attributes against which graduates must be able to perform.
K1: A systematic, theory-based understanding of the natural sciences applicable to the discipline K2: Conceptually-based mathematics, numerical analysis, statistics and formal aspects of computer and information science to support analysis and modelling applicable to the discipline K3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline K4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. K5: Knowledge that supports engineering design in a practice area K6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline K7: Comprehension of the role of engineering in society and identified issues in engineering practice in the discipline: ethics and the professional responsibility of an engineer to public safety; the impacts of engineering activity: economic, social, cultural, environmental and sustainability K8: Engagement with selected knowledge in the research literature of the discipline
A program that builds this type of knowledge and develops the attributes listed above is typically achieved in 4 to 5 years of study, depending on the level of students at entry.
Complex engineering problems are those that include a wide range of or conflicting technical, engineering, and other challenges, have no clear solution, and necessitate analytical thinking and originality in analysis to design effective models. The ability to solve complicated problems in engineering is vital in the engineering curriculum. The list of complex engineering problems (P1 to P7) clarifies the concept of Complex Engineering Problem by establishing seven problem-solving ranges or features.
P1- (Depth of knowledge required) Cannot be resolved without in-depth engineering knowledge at the level of one or more of K3, K4, K5, K6 or K8 which allows a fundamentals-based, first principles analytical approach. P2- (Range of conflicting requirements) Involve wide-ranging or conflicting technical, engineering and other issues. P3- (Depth of analysis required) Have no obvious solution and require abstract thinking, originality in analysis to formulate suitable models. P4- (Familiarity of issues) Involve infrequently encountered issues P5- (Extent of applicable codes) Are outside problems encompassed by standards and codes of practice for professional engineering. P6- (Extent of stakeholder involvement and conflicting requirements) Involve diverse groups of stakeholders with widely varying needs. P7- (Interdependence) Are high level problems including many component parts or sub-problems.
There are five attributes of activities students can be involved in when solving Complex Engineering Problem. A Complex Engineering Activity or Project is that which has some or all of the following attributes:
A1- (Range of resources) Involve the use of diverse resources (and for this purpose resources include people, money, equipment, materials, information and technologies). A2- (Level of interaction) Require resolution of significant problems arising from interactions between wide-ranging or conflicting technical, engineering or other issues. A3- (Innovation) Involve creative use of engineering principles and research-based knowledge in novel ways. A4- (Consequences for society and the environment) Have significant consequences in a range of contexts, characterized by difficulty of prediction and mitigation. A5- (Familiarity) Can extend beyond previous experiences by applying principles-based approaches
Credit Hours: 3
Course Type: Language and Generals Education Course
Accounting in Action: Definition of Accounting, Its role and Functions, History of Accounting, Purpose and Nature of Accounting Information, Users of Accounting Information, Branches of Accounting, Accounting as a language of business, GAAP, Assumptions.
The Recording Process and Completion of the Accounting Cycle: Double-Entry Accounting System, Accounting Equation, Recording of Transactions: Journalize, Posting to the Ledger, Preparation of Trial Balance, Limitations of Trial Balance, Preparation of work Sheet, Adjusting Entries, Preparing Closing Entries, Preparing a Post-Closing Trial Balance, Summary of the Accounting Cycle, Rectification error, capital and revenue expenditure, Provision for bad and doubtful account, Cash book and other books, Bank Reconciliation statement, Acquisition and Disposition of Property, Plant and Equipment, Intangible assets, Different Depreciation method and their implementation.
Accounting for Merchandising Operations: Inventory Systems, Merchandising Activities, Components of financial statements, Contents of income statements, Forms of Income Statements-Multiple-Step Income Statement; Single-Step Income Statement. Balance Sheet, Interpretation of financial statement.
Accounting for Partnership: Partnership Accounts, Admission and retirement of Partners, Dissolution of partnership.
Accounting for Current Liabilities and Contingencies: Notes payable, sales tax payable, unearned revenue, current maturities of long-term debt, statement presentation, recording and disclosure of contingent liabilities
Course Name: Functional Bengali Language (প্রায়োগিক বাংলা ভাষা)
Course Code: BAN 1101
Credit Hours: 2
Course Type: Language and Generals Education Course
বাংলা ভাষার বিবর্তন – বাংলা ভাষার উৎস, সাধু ও চলিত বাংলা, সাধু ভাষার বিবর্তন ।
বাআধুনিক বাংলা – আধুনিক বাংলার উৎস ও প্রয়োজনীতা, মিশ্র বাংলার প্রকৃতি, গঠন ও ব্যবহার, আধুনিক বাংলার প্রচার ও প্রসার।
বাংলা ভাষার লিখন দক্ষতা: (১) বাংলা ধ্বনিতত্ত্ব (ধ্বনি, বর্ণ, ধ্বনি পরিবর্তন, যুক্তবর্ণ), (২) বাংলা বানান: বাংলা একাডেমির বাংলা বানানের নিয়ম, শব্দের অপপ্রয়োগ, শব্দের বানান ও অশুদ্ধি, (৩) বাক্যের শুদ্ধি-অশুদ্ধি: বাক্যের গঠনগত শুদ্ধি-অশুদ্ধি, বিরাম চিহ্ন, (৪) বাংলা লিখন কৌশল: রেজুলেশন লিখন, অনুষ্ঠান সঞ্চালন পাণ্ডলিপি প্রস্তুত, বিজ্ঞাপন লিখন, প্রুফ সংশোধন।
বাংলা ভাষার কথন-দক্ষতা: (১) বাংলা উচ্চারণের নিয়ম: স্বরবর্ণ ও ব্যাঞ্জনবর্ণের উচ্চারণের স্থান, উচ্চারণরীতি, (২) বাংলা উচ্চারণ-সূত্র ও তার প্রয়োগ।
প্রকৌশল পেশায় বাংলা: চিঠি আদান-প্রদান, প্রস্তাবনা ও গবেষণাপত্র প্রণয়ন, নিয়োগবিধির ও দাপ্তরিক নীতিমালা গঠন, পরিবেশ ও আইনগত বিষয়ে জ্ঞানভাষা, প্রযুক্তি শেয়ারিং-এ কথ্য ও সাধু ভাষার পার্থক্য ও সমন্বয়।
Course Name: Engineering Economics
Course Code: ECO 1101
Credit Hours: 2
Course Type: Language and Generals Education Course
The Economic Problem: Definition of Economics, Economics and engineering, importance of economics in engineering, Want and Scarcity, opportunity cost, production possibility curve (PPC). Economic System: Central economic problems; Economic systems.
Demand, Supply and Equilibrium: Demand; Determinants; Law of demand; Supply; Determinants; Law of Supply; Equilibrium; Mathematical problems. Elasticity: Elasticity of Demand, Types of elasticity; Measurement; Elasticity of supply; importance and applications. Consumer behavior and market demand: Utility, Classification of utility; Cardinal Vs. Ordinal utility; Law of diminishing marginal utility; Indifference curve and its characteristics; Marginal rate of substitution (MRS); Budget Line; Consumer equilibrium. Optimization: Free optimization; Constrained optimization.
Production and Costs Theory: The production function; Production with one variable input – total, average marginal product, Law of variable proportion, Iso-quants, Returns to scale; Cobb Douglas production function; technical efficiency, Cost function; Short run and long run costs; Average cost (AC) and marginal cost (MC); engineering cost and estimating.
The perfectly competitive market and its characteristics: Properties; Conditions of profit maximization; Short run equilibriums; Short run industry supply curve; Long run equilibrium. Imperfectly competitive markets: Properties, Total revenue (TR), Average (AR) and Marginal revenue (MR) Curves; Short run equilibriums; Monopolist’s supply curve; Long run equilibrium; Features of monopolistic competitive and oligopoly; Cartels in oligopoly, Game theory.
Key macroeconomics phenomena: Meaning of national income; Circular flow of income; Concepts of national income: GNP, NNP, NNPFC, Personal income and disposable income; Measurement of national income; Employment and unemployment; inflation; Phillips curve; Stagflation; Growth; Multiplier; Consumption; Investment. Aggregate Demand and Aggregate Supply Model: Aggregate Demand curve; Short-run aggregate supply curve; Long-run aggregate supply curve; Macroeconomic equilibrium: AS-AD model.
Monetary and Fiscal policy: Goals; Instruments; Effectiveness of monetary and fiscal policies.
Course Name: General English
Course Code: ENG 1101
Credit Hours: 3
Course Type: Language and Generals Education Course
Grammatical Components: Use of Be Verbs and the Modals; the difference between their applications, active-passive, sentence making and other uses of verbs, Uses of tenses, Parts of speech,
Grammatical Components: Punctuation, capitalization, Sentence structures, Sentence making rules, synthesis of sentences, Grammatical Correction.
Grammatical Components: English Phonetics, Vowel and consonant sounds, and diphthongs, Appropriate prepositions, Idioms & Phrases, Vocabulary & Diction.
Reading and Writing Components (Literature Components and Subject Related Teaching Materials): Reading strategies (skimming, scanning, predicting, inferring). Reading novels, an anthology of modern short stories, poems, and Literary articles written by some prominent writers.
Novels: The Old Man and the Sea by Ernest Hemingway; Robinson Crusoe by Denial Defoe; Frankenstein by Marry Shelley; Animal Farm by George Orwell.
Short Stories: Students will be given an anthology of the modern short stories named “TALL TALES SHORT STORIES” by various award-winning writers.
Poems: “Sonnet 18” by William Shakespeare; “Ode to the Nightingale” by John Keats; Aunt Jenifer’s Tigers” by Sylvia Plath; “Digging” by Seamus Heaney. Reading Literary and subject-related articles, e-books, blogs, and web pages related to program offering entity (POE).
Course Name: Communicative English
Course Code: ENG 1102
Credit Hours: 1.5
Course Type: Language and Generals Education Course
Speaking: Orientation, Introducing self and family, Making requests and Seeking Permission, Getting to Know in Small Talks, Different Expressions, Expressing Personal opinion, Asking for Direction, Asking questions, Telephone Conversation, Describing People and Things, Asking for Information, Food and restaurants, Sentence Completion, Describing Picture, Describing Consequences, Interview, Shopping Role Play, Travel and Tourism, Story Telling, etc
Listening: The Listening Comprehension section tests students’ ability to listen to basic instructions, lectures, and conversations. Students will hear the recording of various types and will respond with a gap fill, completing a sentence and multiple-choice worksheet. The audiotapes are given mostly from IELTS practice tests.
Presentation skills: Reading Newspapers and presenting their opinions, Practicing storytelling, Narrating personal experiences, Introducing presentation skills, Summarizing movies/books, and describing various aspects or parts of these (character description, conflict of the movie, resolution of the book). Debate and put forward an argument, Selected stories for presentation.
Course Name: Technical and Professional Writing
Course Code: ENG 4101
Credit Hours: 2
Course Type: Language and Generals Education Course
Prerequisite: ENG 1101
Beginning to write: Making sensible sentences. Joining and expanding sentences, contracting sentences, Logical development of sentences in context using an idea, Clear and effective communication of information.
Introduction to technical writing: Definition and purpose of technical writing, Audience Recognition and Involvement.
Technical paper writing steps: Abstract, Introduction, Literature review, methodology, results and discussion, conclusion.
Writing a technical paper/research paper: Emphasis on style (especially IEEE format), content, language, form, vocabulary, uses of passive, clarity, consistency, Developing essays and paragraphs on technical issues. Editing compositions for clarity and effectiveness. Thesis writing steps.
Writing professional correspondence: Memos, Letters, E-mails, and other formats, Job-application materials.
Course Name: Project Management and Entrepreneurship
Course Code: MGT 3301
Credit Hours: 3
Course Type: Language
Introduction to Project Management: Definition of project and project management, history of project management, Importance of project management, the triple constraint, project phases. Project Model: Project phases, PROPS, milestone, tollgate, phases of PROPS, wenell’s project modell, PPS- practical project management, Project Plan-phases of project plan,
Project Economy: Importance, Project manager and economy, project budgeting, logarithmic time planning, project follow up, management and control, earned value management, outcome, retrospective analysis. Project Manager (PM): Decision level, Roles of project sponsor, project manager, sub project manager, steering committee, reference group; definition of PM, different kind of PM, factors influence PM, project manager vs line manager, project work vs line work, characteristics of successful PM, tools for PM, what is leadership, roles of leadership, Situational leadership, traditional leadership, transformational leadership. Group dynamics.
Risk Management: Definition of risk, uncertainty, changes, deviation, the importance of risk management, the importance of risk analysis, mini risk method, the Lichtenberg method, risk with risk management, Software project, IT project,
Entrepreneurship: Definition of an Entrepreneur, Myths and facts, common personality traits, age and entrepreneurship, entrepreneurial mindset, the business life cycle, pre-launch, startup, growth, maturity and potential decline; types of income, the process of opportunity recognition,
Lifestyle Entrepreneurs- side business, startup founders, social entrepreneurs;
Core concept and Framework: service vs product business; business model: old business model, new business model, scalability
Fundraising: Types of options, Bootstrapping, FFF (friends, family and fools), Angels, Equity and debt, Loans, Venture Capital, Incubators,
Introduction to idea generation: Scratchpad, idea lister builder, the idea equation, areas to isolate and target, 5 types of innovation, recap of idea dynamics, making it fit, the fit quadrant: skills and experience, hobbies, passions, skills and experience, fit to the 3 business types, The eureka myth. Problem based business idea, Imagine the future, reverse imagination, the fit generator, cater to power user, reposition good/fast/cheap.
Validation of an Idea: definition of validation, surveys, talking to experts, lean startup framework, pitch experiments, MVP (minimum value product)
business model example: saas (software as a service), subscription and membership, PWYW (pay what you want), the sharing economy, the marketplaces, on demand, curated box, DTC (direct to consumer), crowdsourced catalog and inventory,
Evaluation and testing: matching fit, sustainability, path to validation
Course Name: Society, Professional Ethics and Environmental Protection
Course Code: HUM 3101
Credit Hours: 3
Course Type: General Education
Society: the emergence of Sociology as moral lessons for society; organization, and institutions in society, Culture: elements of culture, Cultural and Symbolic Dimensions, socialization, Biodiversity and indigenous knowledge, Genetic Modification, Biopollution and Biosafety and Future of Biodiversity.
Technology and society: Technology and the Industrial Revolution, Role of technology in the rationalization of society, Scientific creativity and Intellectual Property Rights. Technology and Gender needs, Technology inputs for women’s enterprise, integrating gender in technological development.
Engineering ethics: understanding ethics, engineering ethics; Moral reasoning and engineering as social experimentation; The engineers’ concern for safety, professional responsibility; Employer authority; Rights of engineers; Global issues; Career choice and professional outlook; Ethical problems are like design problems; Genetically modified objects (GMO)
Environment: environment and environmental issues– environmental degradation, waste management and renewable energy; Basic understanding of sustainable development, SDGs, Ethical Resources for Solving Boundary-Crossing Problems, Creative Middle Ways, First Standard: The Golden Rule; Second Standard: Universal Human Rights; Third Standard: Promoting Basic Human Well-Being; Fourth Standard: Codes of Engineering Societies (IEEE, IEB, ABET), Climate change adaptation; Disability and Accessibility.
Course Name: Bangladesh Studies
Course Code: SSC 1101
Credit Hours: 2
Course Type: Language and Generals Education Course
Pre-Liberation War Period: Neo-Colonial Epoch-Protest against Pakistani Colonialism-6 Points Demands in 1966-Mass Movement of 1969-Election in 1970-Liberation War of 1971.
Early Post-War Bangladesh: The Socio-Economic and Cultural Features of Bangladesh-Agricultural Policies and Development of Bangladesh-Private Sector Development in Bangladesh-The Health and Demographic Features of Bangladesh-Geo-Strategic and Economic Importance of the Bay of Bengal and the Hilly Regions.
Post 75 Period: The Brutal Killing of the Father of the Nation Bangabandhu Sheikh Mujibur Rahman - Autocratic, Military and Semi-Military Rules-Mass Movement of 1990.
Restoration of Democracy and Onwards: The Year 1991 and Aftermath - Rules by Parties especially by Awami League and the Beginning of a New Development Era in Agriculture, Industry and Service Sectors.
Bangladesh: Multi-dimensional Aspects: Bangla Literature: Poetry, Novel and Essays (1971-2021)-Education and Enlightenment: National Education Commission (1972)-Qudrat-i-Khuda, Education Commission(1974)- Shamsul Haque, Education Commission (1997)-Kabir Chowdhury, Education Commission (2009)- Ethnicity in Bangladesh.
Human Biology: Chemical basis of life, Brief introduction to Human anatomy and physiology, Introduction to Biomechanics, Force, Moments and Couples system; Musculo-Skeletal systems, Structures: Methods of Joints;
Biosensors: Sensors for monitoring patients, Non-invasive biosensors for measuring metabolism and biophysical transport.
Origin and major types of biological signals: Human body: cells and physiological systems, bioelectric potential, transducers, bio-potential electrodes and amplifiers, blood pressure, electrocardiogram, electromyogram, electroencephalogram, phonocardiogram.
Introduction to bio–Medical Imaging: X-ray, CT scan, MRI and Ultrasonogram.
Atomic Structure: Rutherford’s atom model and its limitations, Bohr model of atomic structure and its limitations, Sommerfeld’s correction, Quantum numbers, Pauli exclusion principle, Aufbau principle, Electronic configuration in an atom, Hunds rule of maximum multiplicity.
Periodic Table: Description of a modern periodic table, Types of elements in the periodic table and their positions in the periodic table, Periodic properties; atomic and ionic radius, ionization potential, electron affinity, electronegativity.
Group Chemistry: Chemistry of Group 13, 14 and 15 with special reference to Boron, Aluminum, Silicon, Germanium, Phosphorus, Arsenic and Antimony as their uses in semiconducting materials.
Chemical Bonding: Octet rule, Ionic bond; formation and properties of ionic compounds, Covalent bond; formation and properties of covalent compounds, Coordinate covalent bond, Metallic bond.
Electrochemistry: Faraday’s laws of electrolysis, Strong and weak electrolyte, Arrhenius theory of electrolytic dissociation, Transport number, Conductance of solution, Equivalent conductance, Equivalent conductance at infinite dilution, Equivalent conductance and concentration.
Course Name: Chemistry Laboratory
Course Code: CHE 1102
Credit Hours: 0.75
Course Type: Basic Science
Rationale: This Laboratory course is aimed to train the students in various types of chemical analysis.
Objectives: The objectives of this course are-
To introduce students to the safety regulations of Chemistry laboratory.
To facilitate students with foundation skills of using Chemistry laboratory instruments.
To demonstrate the ability to present the results of investigations orally and in writing.
Course Learning Outcomes (CLOs):
Upon successful completion of this course, students will be able to-
Carry out different types of chemical analysis and calculate the result from experimental data.
Write comprehensive reports on the work done in laboratory in a group project and orally present the project results.
Mapping of Course Outcomes to Program Outcomes-
Different chemical analysis on: HCl, NaOH, KMnO4, Fe(II), K2Cr2O7, Cu(II) etc.
Report writing based on laboratory work.
Oral Presentation on Mini Project Work (Design Project/Analytical Project/ Experimental Project/Industrial Tour)
Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:
Number System: Natural Number, Integer, Rational Number, Irrational Number, Real Number, Even and Odd Number, Prime Number.
Function: One-to-one, Many-to-one Function, Domain, Range, Inverse Function, Even and Odd Function; Graphs: Algebraic (Quadratic, Cubic) and Transcendental (Trigonometric, Exponential, Logarithmic) Function
Differential Calculus: Limits, continuity and differentiability of functions, physical meaning of derivative of a function. Successive differentiation and Leibnitz's theorem, Rolle’s theorem, Mean value theorem, Taylor's theorem in finite and infinite forms, expansion of functions, L’Hospital’s rule, partial differentiation and Euler's theorem, tangent and normal, extreme curve plotting and optimization, Curvature, asymptotes, and curve tracing.
Integral Calculus: Integration of various types of functions, integration techniques, definite integrals and its properties, Wallis's formulae, Improper Integrals, Beta function and Gamma function, applications of integration, length of a curve, areas of surfaces, volume of solids/hollow solids of revolution
Course Name: Co-Ordinate Geometry and Vector Analysis
Co-Ordinate Geometry: System of co-ordinates, Changes of axes, transformation of co-ordinates and simplification of equation of curves. Pair of straight lines, conditions under which general equation of second degree may represent a pair of straight lines, standard equation of circle, parabola ellipse and hyperbola with explanation. Conic together with its Cartesian and polar equation. Three dimensions: system of co-ordinates, distance between two points, direction cosine and ratio, the equation of a plane, its normal form and intercept form, equation of sphere
Vector: Vector components, Vector components in spherical and cylindrical system, Vector operators, Del, Gradient, Divergence, Laplacian operator and Curl. Their physical significance, triple product and multiple products of vectors. Linear dependence and independence of vectors.
Vector Calculus: Differentiation and integration of vectors along with their elementary applications, definition of line, surface and volume integrals, Gauss’s theorem, Stoke’s theorem, Green’s theorem.
Course Name: Complex Analysis, Matrix and Linear Algebra
Complex Variables: Complex number system, analytic functions, limit and continuity of functions of complex variables and related theorems, complex differentiation, Cauchy’s integral theorem, Cauchy’s integral formula, Liouville’s theorem, Taylor’s theorem, Laurent’s theorem, singular points, Cauchy’s residue theorem, contour integration.
Matrix: Definition of matrices, different types of matrices, algebra of matrices, adjoint and inverse of matrices, rank and elementary transformation of matrices, Cayley-Hamilton theorem, normal and canonical forms, solution of linear equations, eigenvalues and eigenvectors.
Linear Algebra: Algebraic fields, linear spaces, subspaces, basis and dimension, linear transformation from IRn to IRm , functional and dual space, Inner product spaces. Gram-Schmidt process and QR-decomposition. Application of linear algebra to electric networks.
Course Name: Differential Equation and Special Function
Ordinary Differential Equation (ODE): Degree and order of differential equations, Formation of differential equations, Solution of first order and first-degree differential equations by various method,
Higher Order ODE: Solution of linear differential equations of second and higher order with constant coefficients, solution of homogeneous linear differential equations, Solution of differential equations of the higher order when the dependent or independent variables are absent. Frobenius method.
Partial Differential Equations: Introduction. Linear and non-linear first order equations. Standard forms. Linear equations of higher order. Wave equations. Particular solution with boundary and initial conditions
Special Functions: Legendre differential equation and Legendre polynomials, Recurrence relations for Legendre polynomials, Bessel differential equation, Bessel functions, Recurrence relations for Bessel functions, Modified Bessel functions.
Statistics: Basic concepts of frequency distribution, measures of location and variation, permutation, combination, sets.
Probability: probability, random variable and its probability distribution, discrete and continuous probability distribution- Bayes theorem, binomial distribution, Poisson distribution, normal distribution, estimation, hypothesis testing, design of experiments, chi-square test, variance analysis, regression analysis, correlation analysis.
Queuing Theory: Stochastic processes, discrete time Markov chain and continuous time Markov chain, birth-death process in queuing, queuing models.
Credit Hours: 0.75 Course Type: Other Engineering Course Prerequisite: N/A
Course Description: 1 Civil Engineering: Plan: To give a basic understanding about plan of a two storied building and give an idea about scale and how to draw a plan of a building with scale and graph paper. Elevations: How to draw elevations of a two storied building with graph paper. Section: Give understanding about section and basic need of section for a building. Electrical Drawing of Building: Give a basic idea about, how to draw electrical layout drawing for a two storied building on a graph paper. 2 CAD Tools: Drawing using AUTOCAD or contemporary packages instructed by the teachers
Introduction to Computers: Early history of computing devices, Major components of a computer;
Hardware: Processor, Memory, I/O devices, Hard Disk, Storage media, CD ROM, DVD, Printer, Scanner;
Software: Function of operating system, Discussion on different types of operating system;
MS Office Tools: MS Word, MS Excel, Power Point etc.
Networking: Different types of networks, Network topologies, Communication media.
Course Name: Basic Computer Programming
Course Code: CSE 1204
Credit Hours: 1.5 Course Type: Other Engineering Course Prerequisite: N/A
Introduction: Introduction to computers and programming languages, data representation in the computer, flowchart construction for problem-solving. Philosophy of Object-Oriented Programming (OOP), Advantages of OOP over Structural Programming: Tools: Introduction to programming tools and environment, introduction to input, output, variables, and data types.
Operators: Different Types of Operators, Different types of Expression Evaluation, Type casting, Introduction to Conditional Operators- if statement; switch statement; Goto statement; Introduction to loops (while, do-while, for). Array: Concept and use of an array, declaring one and two-dimensional arrays; Storing and accessing array elements manually and through loops. String: Introduction to the string. scanning and printing strings; Different types of string manipulation.
Pointers: Introduction to pointers; use of pointers; Calling and accessing pointer type variables. Functions: Introduction to function; Defining and calling functions. Structure: Introduction to structure and union; Use of structures; Defining and accessing structures; Nested structure. File: File manipulation; Creating file; Opening file in different modes; Storing and retrieving information from the file. OOP: Encapsulation. Classes and objects access specifiers. Static and non-static members, Constructors, Destructors and copy constructors.
Course Name: Mechanical Engineering Drawing
Course Code: ME 1104
Credit Hours: 0.75 Course Type: Other Engineering Course Prerequisite: N/A
Course Description: 1 Mechanical Engineering Drawing: Introduction, Orthographic drawings, First and third angle projections, scale drawing, sectional view, isometric views, missing line, auxiliary view, detail and assembly drawing 2 CAD Tools: Drawing using CAD tools or contemporary packages instructed by the teachers.
Course Name: Basic Mechanical Engineering
Course Code: ME 1101
Credit Hours: 3 Course Type: Other Engineering Course Prerequisite: N/A
1. Introduction: Sources of Heat energy. Renewable and non-renewable sources and their potential; Introduction to steam generation, Steam generator: Boilers and their classification; Working principle of few common and modern boiler; Boiler mountings and accessories; Performance of boiler. Heat engines: Gas turbines, diesel engines, petrol engines, Fuel, lubrication and cooling systems of I.C engines.
2. Energy and First law: Systems and surroundings; Conservation of energy; Different thermodynamic processes; Energy transfer as heat for a control volume.
Entropy and Second law: Reversibility and irreversibility; Definition and corollaries of the second law of thermodynamics. Entropy: its transfer and change.
3. Characteristics of some thermodynamic cycles: Analysis of different thermodynamic cycles, Vapor power cycles, Representation of various cycles on PV and TS planes.
4. Basic concepts of refrigeration systems: Vapor compression refrigeration, Absorption refrigeration, cop, Refrigerants and their classifications and properties.
5. Air conditioning: Introduction, Objectives and major components of air conditioning systems; Humidity; Dew point.
6. Robotics: Introduction to robotics, essential components of a robot and their kinematics, links, frames, spatial motions, programming robots, clocks, sensors, actuators and control.
Circuit variables and elements: Voltage, current, power, energy, independent and dependent sources and resistance. Simple resistive circuits: Equivalent Resistance, Y-Δ transformation, Series and parallel circuits, voltage and current division, ,
Techniques of circuit analysis: Branch current method, Nodal and mesh analysis including super node and super mesh.
Basic laws: Ohm’s law, Kirchhoff’s current and voltage laws. Current divider and voltage divider rule Network theorems:Source transformation, Theorem: Superposition, Thevenin, Norton, Millman, Reciprocity theorem etc and it’s application in different types of circuits solution with applications in circuits having independent and dependent sources, Maximum power transfer theorem and it’s application. .
Energy storage elements: Inductors and its
characteristics in DC and AC; capacitors and it’s characteristics in DC and AC,
series parallel combination of inductors and capacitors.
Definition of alternating current (AC);Definition of Impedance;
Vector Diagram, Responses (output voltage, consumed power, waveform, vector
diagram) of R branch, L branch, C branch, RL branch, RC branch, LC branch and
RLC branch circuits; Introduction to Alternating Current (AC),
sinusoidal variation, frequency and wavelength. Instantaneous voltage, current
and power, impedance of AC quantities, RMS value and average value, Solution
method to find out the RMS, Average value of different types of AC waveform.
Phasor algebra and Drawing of phasor diagram. Techniques of general ac circuit
analysis (containing both independent and dependent sources): Node-voltage
method, Mesh-current method, Source transformations, Thevenin and Norton
Magnetic quantities and variables: Flux, permeability and
reluctance, magnetic field strength, magnetic potential, flux density,
magnetization curve. Laws in magnetic circuits: Ohm’s law and Ampere’s
circuital law. Magnetic circuits: series, parallel and series-parallel
Analysis:transients in AC
circuits, Source free RC, RL and RLC (Series and Parallel) circuit, Step
Response RC, RL and RLC (Series and Parallel) circuit.
in AC circuits:
Series, parallel resonance and Q factor.
of three phase circuits: Three phase supply, Analysis of balanced and unbalanced circuits, Power
calculation, Phase sequence and its effects. Measurement of 3-phase power by
3-wattmeter method as well as two wattmeter method.
Passive Filter Networks:basic types. Characteristic impedance and
attenuation, ladder network, low pass, high pass filters, propagation
coefficient and time delay in filter sections, practical composite filters.
Coupled circuits:Conductively Coupled Circuits, Mutual Impedance,
Coefficient of coupling, magnetic coupling, Dot convention, Energy in coupled
P-N junction:Intrinsic and extrinsic semiconductors and
their properties, operational principle of p-n junction; Diode: diode characteristics, dc and ac diode models, dynamic
resistance and capacitance, diode types; Diode
circuits: Single phase rectifier-Half wave and full wave rectifiers,
rectifiers with filter capacitor, clamping and clipping circuits, multiple
diode circuits, characteristics of a zener diode, zener shunt regulator, photo
diodes and LEDs, DC power supply.
MOS transistor (MOSFET): Structure and physical operation of an
enhancement MOSFET, current- voltage characteristics, MOS device model, biasing
discrete and integrated MOS amplifier circuits, DC circuit analysis, basic
MOFET applications, Biasing, constant current biasing, multistage MOSFET
circuits, Junction Field effect transistor (JFET); MOSFET amplifier: basic transistor amplifier configurations- Common-Source,
Common-Gate Stage, Source Follower (common drain); single stage integrated
circuit MOSFET amplifiers, multistage amplifiers,; MOSFET as a switch, CMOS
Junction field-effect-transistor (JFET):Structure and physical operation of JFET,
transistor characteristics, pinch-off voltage. Differential and multistage
amplifiers, Description of differential amplifiers, small-signal operation,
differential and common mode gains, RC coupled mid-band frequency amplifier.
Bipolar junction transistor: Bipolar Junction transistor (BJT): BJT, DC
analysis of BJT circuits, basic transistor applications, biasing, multistage
circuits, BJT linear amplifiers-basic configurations, CE amplifiers, AC load
lines, CC and CB amplifier, multistage amplifiers, power consideration;
Energy Bands and Charge Carriers in
Electron and Hole statistics in semiconductors, Charge carrier recombination,
Transport properties, Equation of continuity.
PN Junctions:Basic structure, equilibrium conditions, contact
potential, equilibrium Fermi level, space charge, non-equilibrium condition,
forward and reverse bias, carrier injection, minority and majority carrier
currents, transient and AC conditions, time variation of stored charge, reverse
recovery transient and capacitance.
Bipolar Junction Transistor: Basic principle of PNP and NPN transistors,
emitter efficiency, base transport factor and current gain, diffusion equation
in the base, Ebers-Moll equations and circuit synthesis.
Field Effect Junction Transistor: Energy band diagram of metal semiconductor
junctions, Rectification at metal-semiconductor Junction, MOS structure, MOS
capacitor, energy band diagrams and flat band voltage and control of threshold
voltage. Schottky-diffusion theory. Principle of operation of FET, qualitative
theory of MOSFET operation, body effect and current–voltage relationship of a
MOSFET, Junction field-effect-transistor.
Op-Amp Characteristics:Properties of ideal Op-Amps, General purpose
Op-Amp, DC analysis, small-signal analysis of different stages, gain and
frequency response of 741 Op-Amp. Op-Amp
Application: non-inverting amplifier, inverting amplifier, summing
amplifier, integrators, differentiator, logarithmic amplifier, operational
transconductance amplifier, exponential amplifier, differential amplifier,
voltage to current converter, voltage follower, and other applications, effects
of finite open loop gain and bandwidth on circuit performance, logic signal operation
of Op-Amp, dc imperfections
Frequency response of
amplifiers: Poles, zeros and Bode plots, amplifier transfer function, techniques of
determining 3 dB frequencies of amplifier circuits, frequency response of
single-stage and cascade amplifiers, frequency response of differential
Feedback and Stability: Basic feedback concept, feedback topologies:
voltage(series-shunt) amplifiers, current (shunt-series) amplifiers,
transconductance (series-series) amplifiers, transresistance (shunt-shunt)
amplifiers, loop gain, stability of feedback circuit, frequency compensation;
Active filters: Different types of filters and specifications
like Chebyshev filter, Butterworth Filter, Bessel filter, Sallen-Key filter,
filter order and pole, transfer functions, realization of first and second
order low, high and band pass active filters. Power Amplifiers: Classification of output stages, class A, B and
AB output stages. RF amplifiers,
Signal generators: Basic principle of sinusoidal oscillation,
Op-Amp RC oscillators, LC and crystal oscillators. Non sinusoidal oscillators,
timing circuits, waveform generations using 555 and 8038 ICs, schmitt trigger,
pulse generator, VCO.
Multi vibrators: Bistable, Monostable, Astable, different types
of bistable with their circuits and operating techniques.
Introduction to Machinery Principles: Basic Structure of Linear DC Machine.
DC generator:Construction, Principle of Operation, Armature
Winding, Voltage Build Up, Shunt and Series Generator, Cumulative Compound
Generator, Differential Compound Generator, Degree of Compounding, O.C.C.
Curve, Critical Resistance, Voltage Regulation, Armature Reactions and
Commutation, Performance Evaluation and Testing, Efficiency and Losses,
Parallel Operations of Generator.
DC motor: Operation, Back emf, Types of Motors, Speed-Torque Characteristics,
Starting of DC Motor, Speed Control, Braking of Motors, Two and Four Quadrant Operation of DC Motor,
Choice of DC motor for Different Application.
Special DC motor: Servo motor, Stepper motor, Brushless dc Motor.
Single phase transformers: Construction and Principle of Operation, Inrush
current, Equivalent Circuit, PU Systems, Phasor Diagram, Efficiency,
Regulation, Testing of Short-circuit Test and Open Circuit Test, Parallel
Operation, Determination of Transformer Constants and Polarity.
Three-phase transformer: Three-Phase Transformer Connection Diagram,
Vector Group, Parallel Operation and Testing; Autotransformer, Harmonics of
Poly Phase Transformers.
Three phase induction motor:rotating magnetic field,
reversal of rotating magnetic field, synchronous speed, torque in induction
motor; Induction motor construction: squirrel cage, wound rotor; slip
and its effect on rotor frequency and voltage, equivalent circuit of an
induction motor, air gap power, mechanical power and developed torque, torque
speed characteristic, losses, efficiency and power factor, classification,
motor performance as a function of machine parameters, shaping torque speed
characteristic and classes of induction motor, per unit values of motor
parameters, determination of induction motor parameters by tests, methods of
braking, speed control. Induction generator: operation, characteristics,
voltage build up, applications in wind turbine. Single-phase induction
motor: Theory of operation, equivalent circuit, starting techniques and
Synchronous Generator: construction, armature
(stator) and rotating field (exciter), excitation system with brushes and
brushless excitation system, cooling, generated voltage equation of distributed
short pitched armature winding, equivalent circuit, synchronous impedance,
generated voltage and terminal voltage, phasor diagram, voltage regulation with
different power factor type loads, determination of synchronous impedance by
tests, phasor diagram, equation of developed power and torque of synchronous
machines (non-salient pole motor and generator).
Parallel operation of generators: requirement of parallel
operation, conditions, synchronizing, effect of synchronizing current, hunting
and oscillation, synchronoscope, phase sequence indicator, load distribution of
alternators in parallel, droop setting, frequency control, voltage control,
Synchronous Motors: construction,
operation, starting, effect of variation of load at normal excitation, effect
of variation of excitations, V curves, inverted V curves and compounding
curves, power factor adjustment, synchronous capacitor and power factor
Special purpose motors: Two value capacitor
motors, permanent split and split phase capacitor motors, Reluctance motors,
Hysteresis motors, Universal motors, Stepper motors, servo motors, shaded pole
Course Name: Electromagnetic Fields and Waves
Course Code: EEE 2411
Credit Hours: 3 Course Type: Core Prerequisite: MAT 1205
Electrostatics: Coulomb’s law, force, electric field intensity,
electrical flux density. Gauss’s theorem with application, Electrostatic
potential, boundary conditions, method of images, Laplace’s and Poisson’s
equations, energy of an electrostatic system, conductors and dielectrics
Magneto statics:Concept of magnetic field, Ampere’s Law,
Biot-Savart law, vector magnetic potential, energy of magneto static system,
Mechanical forces and torque’s in Electric and Magnetic fields, Curvilinear
co-ordinates, rectangular, cylindrical and spherical co-ordinates, solutions to
static field problems. Graphical field mapping with applications, solution to
Laplace equations, rectangular, cylindrical and spherical harmonics with
Maxwell’s equations: Their derivations, continuity of charges,
concepts of displacement current, Boundary conditions for time-varying system,
Potentials used with varying charge and currents, Retarded potentials,
Maxwell’s equations in different coordinate systems.
Introduction to circuit and field theory: Circuit concepts and the derivation from the
field equations, High frequency circuit concepts, circuit radiation resistance,
Skin effect and circuit impedance, Concept of good and perfect conductors and
dielectrics, Current distribution in various types of conductors, depth of
penetration, internal impedance, power loss, calculation of inductance and
Course Name: Signals and Systems
Course Code: EEE 2413
Credit Hours: 3 Course Type: Core Prerequisite: MAT 2301
Classification of signals
and systems:Signals - classification, Basic operation on signals, Elementary
signals, Representation of signals using impulse function; Systems –
classification. Properties of Linear, Analogous system and their solution.
Time Invariant (LTI)
Causality, Time invariance, Memory, Stability, and Inevitability.
Time domain analysis of LTI
system Differential equations - system representation, Order of the system,
Solution techniques, Zero state and zero input response, System properties; Impulse
response - convolution integral, Determination of system properties; State
variable - basic concept, State equation and Time domain solution.
domain analysis of LTI systems: Fourier
series- properties, Harmonic representation, System response, Frequency
response of LTI systems; Fourier transformation- properties, System transfer
function, System response and distortion-less systems.
Applications of time and
frequency domain analyses: solution of analog electrical and mechanical systems, amplitude
modulation and demodulation, sampling theorem time-division and
Laplace transformation:properties, inverse
transform, solution of system equations, system transfer function, system
stability and frequency response and application, poles and zeros of a network.
Introduction to Random
Ergodicity, Noise models, Correlation and power spectrum, Distribution and
Measurement: Measurement of resistance, inductance and
capacitance, balancing procedure for A.C bridges, cable faults and localization
of cable faults, magnetic measurement, ballistic galvanometers, flux meter,
separation of iron losses, high voltage measurement. Introduction to instrumentation Error: Classification of error,
normal law of error, guarantee of error. Measuring
instruments: Classification, operating principle of ammeters, voltmeters,
wattmeter and watt-hour meters. Mechanical
measurement: Measurement of speed, frequency, pressure, temperature, flow
force, weight level detector, shaft encoder.
Transducer: Resistive, strain gauges, thermal, magnetic,
LVDT, capacitive, piezoelectric, optical, current and potential transformers.
Computer based instrumentation:PC-based data acquisition, filtering by moving
average, Instrumentation for process control, data conditioning.
Data Transmission and Telemetry:Methods of data transmission, dc/ac telemetry system and digital data
transmission. Recording and display devices. Data acquisition system and
microprocessor applications in instrumentation. Mechanical, electrical and optical
transducer, sample and hold circuits.
Number systems:Representation of numbers in different bases,
Addition and subtraction in different bases, complement: Subtraction using
complements, Binary multiplication and division.
Binary codes: Different coding systems, Boolean algebra,
various gates, Sum of products and product of sums, Standard and canonical
forms and other logical operations.
Boolean functions: Karnaugh map method, Tabular method of simplification;
Implementation of logic circuit using various gates, Universal gates.
Combinational logic circuit:Design procedure:
Adder, Subtractor, Code converters, Parity bit checker and magnitude
comparator, Analysis of different combinational circuits, Encoder, decoder, Multiplexer,
Demultiplexer, ROM, PLA and their applications
Sequential circuits: Introduction to
sequential circuits, Analysis and synthesis of synchronous and asynchronous
sequential circuits. mealy machine vs moore machine
Flip-flops: SR, JK, Master-slave, T and D type
flip-flops and their characteristic tables and equations; Triggering of
flip-flops, Flip-flop, Excitation table.
Counters: Classifications, Synchronous and
asynchronous counter design and analysis, Ring counter, Johnson counters,
Ripple counter and counter with parallel load.
Registers: Classification, Shift registers, Circular
registers and their applications and registers with parallel load. Basic
Concept of Application Specific IC (ASIC) design.
Memory Units: Various memory devices and their
Converters:Digital to Analog
(D/A), Analog to Digital (A/D) converters, and their applications.
Digital IC logic families: Brief description of
TTL, DTL, RTL, ECL, I2L, MOS and CMOS logic and their characteristics,
principles of operation and application.
Material: Definition. Classes of materials, Properties of
materials, Metals, Ceramics, Polymers and Composites: structures and uses.
Structure and Imperfection in Solid: Crystal structures:
unit cell. crystal system, crystallographic direction, closed packed crystal,
single crystal, polycrystalline material, Imperfection in solid: Point defect,
Dislocations, Surface defect.
Optical properties of Material: Interaction of light with solid, Optical properties of metals and
non-metals, Color, Opacity and Translucency, Applications in Luminescence, LED,
Photoconductivity, LASER and Optical fiber.
Magnetic properties of Material:Diamagnetism, Paramagnetism, Ferromagnetism, Ferrimagnetism and
Antiferromagnetism, Influence of temperature on magnetic behavior,
Domains and Hysteresis, Soft and Hard magnetic material, Application in
magnetic storage: Hard Disk Drive, Magnetic Tape, Magnetic Ink.
Electrical properties of Material:Classification of
electrical materials, Electrical behavior of metals, Semiconductors,
Application in semiconductor devices, Dielectric behavior, Electrical
conduction in ceramic material and in polymers, Electrical characteristics in
commercial alloys, Ferroelectricity and Piezoelectricity.
Thermal Property of Material: Heat Capacity, Thermal Expansion of metals
ceramic and polymers, Thermal conductivity of different materials, Thermal
stress and thermal shock of brittle material.
Nanomaterial:Definition of nanomaterials, unique properties of
nanomaterials. Nano vs Bulk material, Nanostructured metals and composites,
Carbon nanomaterials – Graphenes, Fullerenes, carbon nanotubes, Metallic
nanomaterials and nanorods, Semiconductor nanoparticle-quantum dots, Quantum
well, Quantum wire, Application of nanomaterial.
Introduction to different types of
microprocessors: 8 bit, 16 bit, 32 bit and their architectures;
pin diagram and junction; Intel series microprocessor and Co-processor; RISK and
Language: Basic Instruction
Sets and Assembly language Programming based on 8086 microprocessor.
Microprocessor peripherals: Introduction to some available microprocessor
peripherals IC's and their application such as 8251, 8253, 8254, 8255, 8257,
8259, 8279, A/D and D/A converter interfacing, Timing Diagram, Interrupts, I/O
systems, DMA-based data transfer, memory interfacing. MMX and SIMD
technologies. The above peripheral is based on 8085 and 8086 processor.
Interfacing: Introduction, interfacing to microprocessor to
keyboards, alphanumeric displays. Introduction to microcomputers and
interfacing to microcomputer ports to high power devices.
Basic Micro controller: Introduction of microcontroller; embedded system
design; microcontroller programming environment; Architecture of different
microcontroller such as PIC, MSP, ARM etc. Real time application design based
PIC Microcontroller: Introduction To PIC Microcontroller, Internal
Architecture, Components and Programming.
Some PIC Based Project work.
Raspberry Pi:Introduction of Development boards.
Television:Principles of black and white (BandW) and color TV,
composite video and chrominance signals, formulation of the chrominance signal,
I and Q signals, block, schematic and pictorial diagrams of TV and their
characteristics, CRT, static and dynamic convergence, automatic degaussing
circuits, pincushion cause and correction, raster and raster formation,
different sections of BandW and color TV, VHF and UHF frequency allocations,
control of all section, AFT and remote control circuits, basic troubleshooting
procedures, isolating and replacing the defective stage and component, video
signal and camera tubes.
and de-soldering practice:soldering and de-soldering
of electronic circuits, Design of PCB layout
Circuit Analysis and Troubleshooting: Study circuit diagrams and troubleshooting techniques of following
appliances that are used in domestic and commercial places:
regulator, Telephone,Scanner, IPS and UPS,
Mobile phone transmitter and receiver, VCD and DVD player, Desktop Computer and
Course Name: Transmission
and Distribution of Electrical Power
Inductance of transmission lines:Flux linkage, Inductance due to internal flux,
Inductance of single-phase two wire lines, Flux linkage of one conductor in a
group, Inductance of composite conductor lines. GMD examples: Three-phase lines with equilateral spacing and
unsymmetrical spacing, Parallel circuit 3 phase lines. Capacitance
of transmission line: Electric field, Potential difference between points
due to a charge, Capacitance of a two-wire line, Group of charged conductors,
Capacitances of 3 phase lines with equilateral and with unsymmetrical spacing,
Effect of earth, parallel circuit lines. Resistance
and skin effect: Resistance and temperature, Skin effects, Influence on
Cable: Insulators for overhead lines; types of insulators, their construction
and performance. Potential distribution in a string of insulators, string
efficiency. Methods of equalizing potential distribution; special types of
insulators, testing of insulators. Insulated cables, cables versus overhead
lines, insulating materials. Electrostatic stress grading. Three core cables;
dielectric losses and heating. Modern development; oil filled and gas filled
cables. Measurement of capacitance. Cable testing. Introduction to transmission
line protection: over current relay and time grading, reverse power relays.
Mechanical characteristics of transmission line:Sag and stress analysis; Wind and ice loading,
supports at different elevation conditions at erection; effect of temperature
Generalized line constant:General line equation in terms of A, B, C, D
constants. Relation between constant, charts of line constants, constants of
combined networks, measurement of line constants. Current and voltage relation
on a transmission line, T- and pi-representation, exact solution. Equivalent
circuit of a long line. Circle diagrams: Receiving end and sending end power circle diagrams.
Voltage and power factor control in transmission
changing Transformers; on load tap changing. Inductance regulators. Moving coil
regulators, Boosting transformers, Power factor control; static condensers;
Power network representations: Per unit system of
calculations, reactance of a synchronous generators and its equivalent circuit,Single line and
reactance diagram of power system, voltage characteristics of loads, power and
reactive power flow in simple systems, bus impedance matrix, bus admittance
Load flow studies:Load flow studies of
large systems using the Gauss-Seidal methods, control of voltage, power and
reactive power, use of network analyzers and digital computers.
Symmetrical fault calculation:Transient analysis and
short circuit calculation for symmetrical fault condition, limitations of short
circuit current using regulators. Unsymmetrical fault calculations: Symmetrical
components- positive, negative and zero sequence networks of generators,
transformers and lines, sequence network of systems, unsymmetrical fault
Power system stability:Definition and classification of stability, swing equation, power-angle
equation, equal area criterion of stability,
multi-machine stability studies: step-by-step solution of the swing curve, factors affecting transient
stability, Frequency and voltage stability. Distributed generation,
smart grid and SCADA, PMU.
Protection issues:Purpose of power system protection, Introduction to circuit
interruption and protection. Terminologies and general characteristics of
relays and breakers and other switchgear equipment. Introduction to SCADA.
Circuit breakers:Operation, control systems, arc extinction, and recovery voltage, Air Blast Circuit Breaker, Oil circuit breaker,
SF6 circuit breaker, Problems of Circuit
Interruption, Selection criteria, testing of circuit breakers and Mathematical
Relays: Introduction to Analogue and Digital static relays, Static
over-current, differential and distance protection, Microprocessor based relays, over-current,
directional relay, power and impedance relays, balanced current relaying of
parallel line, sequence, pilot-wire and carrier current protection, ground
fault relaying, power and impedance relays, balanced
current relaying of parallel line.
Designing LT Electrical distribution buildings, for low rise office
buildings, for industrial buildings, for multipurpose buildings. Selection of
cable size, circuit breaker size, bus bar size. Typical lighting design inside
a domestic building, office building and industry, load
placement, load Estimation, sizing, load scheduling. Choice of luminaries
for various applications.
Introduction to IEE Wiring Regulation 16th (BS7671:2001) incorporating
Amendments 1and 2, 2004. Safety regulations, various types of cables for indoor
wiring and electrical distribution in buildings. Distribution boards, MCB,
MCCB. Earthing requirements, various earthing systems. Conductors for outdoor
distribution through poles.
Single line diagram of a typical 11 KV/0.4 KV 500 KVA Substation and 200
KVA pole mounted transformer. Bus-bar trunking system for various applications.
Introduction to CCTV, Fire Detection and Alarm system, Firefighting
system, Burglar Alarm system, Introduction to modern Lifts and their
AutoCAD design of electrical wiring for buildings and industries.
of Classes, Objects and Constructor (Class Fundamentals, Declaring Objects,
Assigning Object Reference Variables) and develop java programs using the
of Methods: Overloading Methods, Using Objects as Parameters, Returning
Objects. Using of this Keyword, Garbage
Collection and the finalize Method when developing java programs.
of Recursion in Java, Understanding Static, using Final Keyword for various
Using of Nested and Inner classes, Exploring the String Class, Using Command -Line Arguments when
developing java programs.
Using the Varargs:
Variable-Length Arguments when it’s appropriate to use the concept when
building java programs.
Implementation of java
Inheritance (Inheritance Basics, Using Super, Creating a multilevel hierarchy,
Method overriding, dynamic method dispatch, Using Abstract Classes, Using Final
of Interfaces (Defining interface, implementing interfaces, accessing through
interface reference, nested interface, interface variable, extending interface).
Implementation of Exception Handling
(Fundamental mechanism, Exception Types, Try and Catch, displaying a
description of an Exception, multiple
catch clauses, nested try statements, use of throw, throws and finally keywords)
Introduction: Introduction to the control system, open loop and closed loop systems,
the design process.
Mathematical Model: Review of Laplace transform, initial and final
value theorems, transfer functions: Open-loop stability, Poles, Zeros, state
space representation/transfer function/zero-pole of control system design;
state space representation; solution of state equation.
Classical Control System: Phase lead and lag controllers, Linear control
system design using state feedback, Closed-loop sensitivity functions, LQR
design, pole placement, lead compensation, lag compensation, lead-lag
Modern Control System: Application of Eigen value and Eigen vectors,
state variable analysis, canonical forms, controllability and observability,
controller and observer design, Riccati equation, data driven control basics.
Stability analysis: Analysis methods such as Nyquist stability
criterion, root locus, routh's criteria, Stability margins, gain and phase
margin, maximum magnitude, resonant frequency
Controller Design:P, I, PI, PD, and PID types, optimum controller
design, robust controller design,
Non-linear control: Introduction to
nonlinear control, Lyapunov stability criteria. Introduction to neural and
Introduction to DSP:Digital signals and systems: Operations in
digital signal processing, the scope of DSP, analog to digital conversion, frequency
Domain Effects of Sampling: Periodic repetitions in frequency domain due to
sampling in time domain, recovery of continuous-time signal from its samples
(reconstruction), role of anti-aliasing and reconstruction filters, examples of
aliased signals (show how waveform is distorted), impulse response, finite
impulse response (FIR) and infinite impulse response (IIR) of discrete-time
systems, difference equation.
Discrete Transformations: Discrete Fourier series, the Discrete-Time
Fourier Transform, discrete Fourier transform (DFT) and fast Fourier transform
(FFT): Forward and inverse transforms; coefficient ordering; time and frequency
resolution; periodic extension, zero padding and modulo-M reduction; properties
of the DFT, circular convolution; Cooley-Tukey decomposition, recursive
application, radix-2 FFTs, time and frequency decimation, computational
Z-Transforms: Regions of convergence, convolution property and graphical
interpretation of the convolution operation, z-transforms of cascaded systems,
stability and causality.
Realization of Frequency Response: Frequency response (Magnitude and Phase),
representation of LTI systems with rational polynomials, block-form
implementations of a rational polynomial transfer function.
Digital Filters: FIR filters- linear phase filters,
specifications, design using window, optimal and frequency sampling methods;
IIR filters- specifications, design using impulse invariant, bi-linear
z-transformation, least-square methods, linear phase, Butterworth, Chebychev,
Inverse Chebychev, Bessel and elliptic filters, finite precision effects in
implementing digital filters.
Implementing Digital Filters: Block-diagram representations; direct forms;
cascade forms, first and second-order factors; parallel forms; feedback loops
transposed forms; linear-phase FIR structures.
Wavelets: Short time Fourier transform; fundamentals of wavelets, wavelet
transform (continuous and discrete), time – frequency density and orthogonal
Students will do a design project following the guideline from the
Project Management course (MGT311) and the knowledge acquired in the previous course.
The project will be done by a team of 3-5 students and one of the team members
will perform as the project manager and the course teacher will act as a
A student needs to visit One or Two Industries
under the supervision of course teacher. In this industrial exploration,
Students must observe industrial rules and regulations, industrial production,
supply chain management, maintenance system, Industrial troubleshooting etc.
At the end of the course Students needs to submit a technical report for
each industrial exploration considering above mentioned points.
The capstone project or final year design project will be continued for
consecutive two semesters. The project must be done in a group of two to three
Capstone Project also known as Final Year Design Project, allows students to
apply what they've learned in previous courses to the solution of significant
engineering issues. Students will be in charge of identifying, organizing,
planning, and carrying out various tasks regarding the design of a real
Electrical and Electronic Engineering System or Component. Students will work
in groups on the projects.
Review of probability concepts. Probability
distribution: Binomial, Poisson, and Normal.
Reliability concepts:Failure rate, outage,
mean time to failure, series and parallel systems and redundancy. Markov
process. Probabilistic generation and load models.
Reliability indices: Loss of load
probability and loss of energy probability. Frequency and duration. Reliability
evaluation techniques of single area system. Interconnected system: tie line
and evaluation of reliability indices.
Introduction: Vertically integrated vs.
deregulated power system. Real-time operation: SCADA; EMS (energy management
system); various data acquisition devices –RTU, IED, PMU, DFDR, WAMPAC
(wide area monitoring, protection and control).
Application Functions:state estimation;
short term load forecasting; unit commitment (UC); Economic Dispatch (ED);
Optimal Power Flow (OPF).
Frequency and Voltage Control:Generation and turbine governors, droop, frequency sensitivity of loads,
Area Control error (AGE), Automatic Generation Control (AGC), load frequency
control (LFC) and coordination with UC and ED, frequency collapse and emergency
load shed, Voltage regulation.
Power system security: static and dynamic;
security constrained OPF.
Basic concepts:nuclear energy, Prospects of Nuclear energy;
History of Nuclear Engineering, atoms and nuclei, radioactivity, nuclear
processes, fission, fusion.
Nuclear systems:particle accelerator, isotope separators,
neutron chain reaction, reactor types, power generation. Layout of nuclear
power plant (NPP). Nuclear power plant reactors: pressurized water reactor,
boiling water reactor, CANDU reactor, gas cooled reactor, liquid metal cooled
reactor, breeder reactor. Auxiliaries, instrumentation and control. very high
temperature reactors. Biological effects of reactors.
Grid interconnection issues: effects of frequency and voltage changes on NPP
operation. Advanced and next generation nuclear plants.
and Security: Environmental Effect of Nuclear Radiation, Ethical Issues
Surrounding Nuclear Technology.
Three Mile Island case; Chernobyl case;
Fukushima case. Fuel cycle; radioactive waste disposal.
Distributed generation and Microgrid concept: Concept of Microgrid, A typical Microgrid
configuration, Technical and economic advantages of Microgrid, Challenges and
disadvantages of Microgrid development
Control schemes: droop control, centralized control scheme, master slave scheme,
average load scheme, tertiary control
Introduction to smart grid: Network architecture, two-way communication, smart
sensors network. Distributed energy
resources (DERs), distributed generation (DG) and grid scale energy storage
Demand Side Management: Energy management system (EMS), Demand side
management (DSM), Demand Response (DR), demand response for load shaping,
Dynamic pricing, controllable load models, consumption scheduling, energy and
Elements of communication and
networking: Architectures, standards
and adaptation of power line communication (PLC), ZigBee, GSM, and machine to
machine communication models for the smart grid; Home area networks (HAN) and
neighborhood area networks (NAN); reliability, redundancy and security aspects.
Metering Infrastructure: Smart meters and advanced metering
infrastructure (AMI); Load scheduling, Building energy management, energy
management scheduler, real-time pricing and ancillary service;
Introduction to Power
Electronics: Definition, Types of power electronics circuits.
Power Semiconductor Devices: Characteristics of static
power semiconductor devices (BJT, Thyristors, MOSFET, IGBT), Snubber Circuit
(dv/dt and di/dt protection),
AC/DC power converters: Uncontrolled rectifiers (single phase
and three phase), controlled
rectifiers (single phase and three phase), dual converter.
AC/AC power converters: Phase-controlled converters (single phase and three phase) with
resistive and inductive load, cycloconverter (single phase and three phase).
Power Plant Planning: Generating capacity and
selection of plants, types of load and their effects. Plant Location: Site selection for different plants, plant
Station Performance:Connected load, demand
factor, diversity factor, load factor, plant factor, and utilization factor, efficiency, heat rate and incremental
rate, load division between generating units for economy. Generation Scheduling: Deterministic and probabilistic. Conventional Power Plant: Hydro and
thermal power plant, generating cost. Non-Conventional
Power Generation: Micro hydel power plant; Wind, magneto hydrodynamic and
photovoltaic power generation. Nuclear
Power Plant: Nuclear fission and fusion; energy release; moderation,
control, cooling and shielding aspects; Nuclear power station of different
Reliability Concepts:Failure rate, outage, mean
time of failure, series and parallel systems and redundancy, Reliability
evaluation techniques of single area system.
types and tariff in Bangladesh.
Conventional energy sources, reserves,
Importance of renewable energy sources. Renewable energy sources: Solar, wind,
mini-hydro, geothermal, biomass, wave and tides.
Solar Photovoltaic:Basic operation and characteristics of solar
cell, Solar spectrum, equivalent circuit of solar cell, maximum power point
tracking chopper, inverter. Sizing the PV panel and battery pack in stand-alone
PV applications, grid connected PV systems.
Wind turbines:Wind energy power limitation, Betz law, wind turbine
components, interfacing between wind turbine and electrical generator, Wind
drive, wind speed distribution, capacity factor, wind turbine control: yaw,
pitch, operating characteristics, Wind turbine generator - DC, synchronous,
induction generator and doubly fed induction generator. Grid interconnection:
active and reactive power control.
Economic reliability of renewable sources: Payback and annuity calculation, environmental
DC: High voltage DC. Transmission, merits and
demerits over AC transmission; Valve Rectifier circuits, Cascaded Rectifiers,
ripple minimization, voltage multipliers, Electrostatic generators, Graff
Impulse Generators: Impulse voltage wave
shapes, Mathematical analysis and design consideration of impulse generators.
Triggering of impulse generators. single and multistage impulse generators,
tripping and control of impulse generators.
High voltage measurements and testing: IEC and IEEE standards,
sphere gap, electrostatic voltmeter, potential divider, Schering bridge,
Megaohm meter, HV current and voltage transducers: contact and noncontact.
Over-voltage phenomenon and insulation
coordination. Lightning and switching surges, basic insulation level (EV, EHV
and UHV systems), surge diverters and arresters.
Corona: Power loss calculation,
Breakdown of solid, liquid and gaseous dielectrics. Insulation testing,
to FACTS:Definition and
classification of FACTS, general equivalent circuit of FACTS.
of SVC, steady state characteristics, configuration of SVC, Static
Synchronous Compensator (STATCOM): principle of operation, VSC power
management, steady state characteristics, six step operation, control approach
(direct and indirect control), Static Synchronous Series Compensator (SSSC):
Fundamental of series compensation, Principle of operation, Application of TCSC
for different problems of power system, TCSC lay out, SSSC principle of
operation, Unified Power Flow Controllers: Basic operating principles
and characteristics, Control UPFC installation applications, UPFC model for
power flow studies.
Analog IC Design: Bipolar, MOS and BiCMOS IC technology and its
impact, eggshell analogy, application areas and the future of analog IC design.
Review of transistors:large
and small signal models, compact models for Bipolar, FET, and BiCMOS. Amplifiers
with passive and active loads, cascade stages. Multiple current
sources/sinks using Bipolar and FET technologies. Current mirrors: Basic, cascade and active
current mirrors; influence of channel modulation, mismatched transistors and
error in aspect ratios. Wilson current mirror. Constant
current or voltage references: Supply voltage and temperature independent
biasing, band-gap references; constant-Gm biasing. Widlar band-gap voltage
Differential pairs:Differential vs. single-ended operations of
simple amplifiers, differential and common mode voltages, common mode rejection
ratio (CMRR), input common mode range (ICMR), transfer characteristics, small
signal analysis, and frequency response of differential pairs.
and analysis of operational amplifiers (Op Amps) using BJTs and FETs, hierarchy
in analog integrated circuits for an Op-Amps, internal structure of IC Op-Amps,
properties in semiconductor: Direct and indirect band-gap materials, basic transitions in
semiconductors, radiative and non-radiative recombination, optical absorption,
photo-generated excess carriers, minority carrier life time, luminescence and
quantum efficiency in radiation.
of light: Particle and wave
nature of light, polarization, interference, diffraction and blackbody
emitting diode (LED): Principles, materials for visible and infrared LED, internal and external
efficiency, loss mechanism, structure and coupling to optical fibers.
Double-Heterostructure (DH) LEDs, Characteristics, Surface and Edge emitting
emission and light amplification: Spontaneous and stimulated emission, Einstein relations, population
inversion, absorption of radiation, optical feedback and threshold conditions. Semiconductor
Lasers: Population inversion in degenerate semiconductors, laser cavity,
operating wavelength, threshold current density, power output, elementary laser
diode characteristics, hetero-junction lasers, optical and electrical
confinement. single frequency solid state lasers-distributed Bragg reflector
(DBR), distributed feedback (DFB) laser. Introduction to quantum well lasers.
Introduction to quantum well lasers, Vertical Cavity Surface Emitting Lasers
(VCSELs), optical laser amplifiers.
Photo-detectors: Photoconductors, junction photo-detectors, PIN
detectors, avalanche photodiodes, hetero-junction photodiodes, Schottky
photo-diodes and phototransistors. Noise in photo-detectors. PIN and APD. Photo-detector
of light: Phase and amplitude
modulation, electro-optic effect, acousto-optic effect and magneto-optic
Introduction:Background, what is nanotechnology, types of
nanotechnology and Nano-machines, top down and bottom up techniques, Molecular
nanotechnology, atomic manipulation-Nano dots, self-assembly. Nanomaterial: What
is Nanomaterial? Preparation of nanomaterial’s-plasma arcing, Chemical Vapor
Deposition, Sol-gels techniques, Electro-deposition, Ball Milling, Natural
nanomaterial, Applications of nanomaterial’s-Insulation materials, Machine
tools, Phosphors, Batteries, High power magnets Medical implants.
and carbon nanotube (CNT): Families,
reactivity, potential applications of fullerences, molecular and supramolecular
structures of CNT, Intrinsic properties of single wall carbon nanotube (SWCNT),
synthesis, characterization, modification and application of CNT.
dots and Nano composite:Quantum
mechanical background, 3D quantum dots, colloidal and epitaxial growth, quantum
dots formed by ion implantation, nano-layered composite, nano-filamentary and
nanowire composites, nano-particulate composites.
of light and nanotechnology, Nano holes and photons, Solar cells, nanoparticles
and nanostructures; optically useful nanostructured polymers, Photonic
of Micro and Nanofabrication:Optical and electron beam lithography, Molecular beam lithography,
Quantum electronic devices, Molecular electronics, and Simple ideas about
quantum computers. NEMS & MEMS, Nano machines, Nano devices, New Computing
System, Opticelectronic devices, Environmental applications, Nano medicine,
Simple details of characterization tools- SEM, TEM, STM, AFM.
Introduction to RF and Wireless Technology:Complexity, design and applications.
Choice of Technology.
Basic concepts in RF Design: Nonlinearly and Time Variance, inter symbol Interference, random
processes and Noise. Definitions of sensitivity and dynamic range, conversion
Gains and Distortion.
Analog and Digital Modulation for RF circuits: Comparison of various techniques for power
efficiency. Coherent and Non coherent defection. Mobile RF Communication
systems and basics of Multiple Access techniques. Receiver and Transmitter
Architectures and Testing heterodyne, Homodyne, Image-reject, Direct-IF and
sub-sampled receivers. Direct Conversion and two steps transmitters. BJT and
MOSFET behavior at RF frequencies Modeling of the transistors and SPICE models.
Noise performance and limitation of devices. Integrated Parasitic elements at
high frequencies and their monolithic implementation.
Basic blocks in RF systems and their VLSI implementation:Low Noise
Amplifiers design in various technologies, Design of Mixers at GHz frequency
Various Mixers, their working and implementations, Oscillators: Basic topologies VCO and definition of phase
noise. Noise-Power trade-off. Resonator less VCO design. Quadrature and
Radio Frequency Synthesizes: PLLS, Various RF synthesizer
architectures and frequency dividers, Power Amplifiers design. Linearization
techniques, Design issues in integrated RF filters. CAD tools for RF VLSI designs.
technology; basic electrical properties and circuit design processes of MOS and
Bi-CMOS circuits; scaling of MOS circuits; MOS DC characteristics, non-ideal
I-V effects. NMOS pass transistor and CMOS pass gate circuits. Operation,
transfer characteristics, design for equal rise and fall time, propagation
delay, rise time, fall time and power consumption estimation. Buffer chain
design to drive large capacitive load.
fabrication technology: photolithography, CMOS
process flow, design rules. Estimation of resistance and capacitance from
layout. Layout matching. Stick diagram and area estimation from stick diagram.
Latch-up. Layout design rules, CMOS process enhancement, Manufacturing issues.
Dynamic Power, Static Power, Low power architecture.
Computational elements: static
circuit, ratioed circuit, cascode voltage logic, dynamic circuits, pass
transistor circuits; Circuit pitfalls-threshold drop, leakage, ration failures,
power supply noise, hotspots, minority carrier injection, SOI (silicon
on insulator) design, subthreshold circuit design; Sequential circuit
design:sequencing methods, maximum and minimum delay constrains, Time
borrowing, clock skew. Design of latches and flip-flops, clock Generation and
synchronization. Interconnect: Interconnect modeling, interconnect
impact, interconnect engineering,
Design methodology: Structural design
strategies, design methods, design flows, design economics, CMOS physical
design style; Basic idea of testing, debugging, and verification. Introduction to HDL: FPGA
and PLD design; Introduction to HDL; Basic digital design using HDL.
Course Name: Biomedical Instrumentation
Course Code: EEE 4221
Credit Hours: 3 Course Type: Elective II (Electronics) Prerequisite: BIO 2101, EEE 2213, EEE 3113
Introduction to Biomedical:Human body, Cells and physiological systems,
Medical Electronics, Ethical issues.
Plasma membrane and transport phenomenon, nerve cell, transmission of nerve
impulse along axon, membrane potential, Nernst equation.
Measurement of Bio-Signals: Bio-potential electrodes transducers,
amplifiers and filters, Noise in bio-signals.
Electrocardiogram: ECG circuit design, electrocardiography, phono
cardiograph, vector cardiograph, analysis and interpretation of cardiac
signals, cardiac pacemakers and defibrillator. Electroencephalogram (EEG),
Blood Pressure:Systolic, diastolic mean pressure, blood
pressure measurement, electronic manometer, detector circuit, Blood Flow
Measurement: Plethysmograph and electromagnetic blood flow meter. Blood Gas
Analyzers: pH of blood, measurement of blood pCO2, pO2, fingertip oximeter,
ESR, GSR measurements. Measurement of respiratory volumes and flow, related
Medical Imaging: X-ray, angiography, CT scan, Tomograph:
Positron emission tomography and computed tomography. MRI, ultrasonography;
endoscopy; gamma camera; Patient monitoring system and medical telemetry.
ICU/CCU monitoring, Effect of electromagnetic fields on the human body.
Electrical safety in bio instrumentations and sensing.
Fundamental Concepts:Modelling digital system, Domains and level of modelling, Modelling
concepts; Introduction to HDL-based Top-Down design methodology for ASICs
and FPLDs (CPLDs/FPGAs), FPLD and ASIC architectures and Electronic Design
Automation (EDA). RTL and Logic Synthesis, Mapping, Place and Route (P and R),
Device Configuration, Functional and Timing Simulation. Introduction to a
standard Hardware Description Language (HDL)—Verilog HDL and a standard
Hardware Description and Verification Language (HDVL)—System Verilog, Introduction
to VHSIC HDL (VHDL).
Basic HDL language: module, interface, ports, scalar data types, composite data types, Basic
modelling constructs, sequential statement, Procedures, design management
(library and config, User-defined packages), Aliases, resolved signals,
Generic Constants, Generate Statements, Components and Configuration, Guards
and blocks; Access types; Files and I/O; status; Components and configuration.
Digital Design with Verilog
HDL/System Verilog/VHDL: Behavioural Modelling and
Synthesizable coding style. combinational logic design (adder-subtractors,
multipliers, ALUs etc.); sequential logic design (registers, counters, shift registers),
FSM/FSMD design techniques. UART, stepper motor control and central ALU-based
computation units. Design of complex digital systems such as RISC processors.
Introduction to Pipelining. Writing stimulus (Test benches) for Verification.
Introduction to Embedded System:Embedded computing, characteristics of embedded
computing applications, embedded-system design challenges, constraint-driven
design, IP based design, hardware and software co-design.
Development Environment:Execution environment,
memory organization, system space, code space, data space, unpopulated memory
space, I/O space, system start-up, interrupt response cycle, function calls and
stack frames, runtime environment, object placement.
Embedded Computing Platform: Sensors and actuators, embedded processors
(CPUs), bus, memory devices, I/O devices, component interfacing. Real time
embedded systems, real time operating systems, embedded systems programming,
mapping between languages and hardware, embedded communication systems, and
embedded computer security.
Designing with Microprocessors and
and debugging, design examples, design patterns, data-flow graphs, assembly and
linking, basic compilation techniques, analysis and optimization.
Distributed Embedded-system Design:Inter-process
Communication, shared memory communication, accelerated design, design for
video accelerators, networks for embedded systems, network-based design,
Based Embedded System Design: Design methodologies and tools, design flows, designing hardware and
software components, requirement analysis and specification, system analysis
and architecture design, system integration, Introduction to Verilog HDL,
structural and behavioral description.
Introduction to Robotics:Definition of Robot,
History of Robotics, Laws of robotics, Robot’s characteristics, robot’s
configurations and Work envelop, Types of Robots
Robot’s components and sensors:Manipulators: Direct kinematics, Inverse Kinematics, Coordinates
transformation, robot dynamics, end-effectors, grippers, Robot/end-effort
interface, selection criteria of sensors for robotic uses, Range sensing, proximity sensing,
Touch sensing, force and torque sensing, sensor interfaces to
computer systems. organization of sensor suits, machine vision sensing, Digitizing image processing, Image analysis
Robot drives and robot Programming: Types of robot drives, selection criteria of drives, programing methods and Languages, Capabilities and
limitation, Artificial intelligence, Knowledge representation, Search
techniques -A1 and robotics
robot motions, Point to point (PTP) Control, Continuous path control
Feedback control, PID controller, Robot Odometry, Differential drive and
navigation, Basic of Robot Operating System (ROS), Simulating different robot
structure with a suitable simulator tool.
Industrial Application: Applications of robots in industrial
applications (machining, welding, assembly work, Material
handling task, Loading and unloading), roles of robot in Industry 4.0, CIM,
Hostile and remote environment, Agricultural industries, Medical uses,
Credit Hours: 2 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 4411
Introduction to Stochastic Processes: Overview of Statistical Signal Processing,
Probability and Random Variables, Linear Algebra of Random Variables, Random
Processes, Linear Shift Invariant Systems with Random Inputs, White Noise and
Spectral Factorization Theorem
Estimation Theory: Linear Models of Random Signals, Parameter
Estimation and Signal Estimation, Estimator, MVUE and Cramer Rao Lower Bound,
Bayesian estimation, Estimation of unknown quantities, maximum likelihood
estimate, EM algorithm in linear system.
Filters:Optimal linear filters: Wiener Filter, FIR Wiener filter, Non-Causual
IIR Wiener Filter, Causal IIR Wiener Filter, Adaptive Filters, Kalman Filters
Linear Predictions of Signals:Estimate the linear
prediction model for time series data, estimate spectral information of time
series data using the model estimated by the linear prediction.
Course Name: Digital
Course Code: EEE 4415
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 4411
to digital Image Fundamentals:The origins of Digital Image Processing, Examples of Fields that Use
Digital Image Processing, Fundamentals Steps in Image Processing, Elements of
Digital Image Processing Systems, Image Sampling and Quantization, Some basic
relationships like Neighbors, Connectivity, Distance, Measures between pixels,
Translation, Scaling, Rotation and Perspective Projection of image, Linear and
Reading, Displaying, Writing Images, Data Classes, Image Types, Converting
Between data classes and Image Types,
Enhancement in the Spatial Domain:Some basic Gray Level Transformations, Histogram Processing, Enhancement
Using Arithmetic and Logic operations, Combining Spatial Enhancement Methods, Basics
of Spatial Filters, Smoothening and Sharpening Spatial Filters, Digital Image
Enhancement in the Frequency Domain: Introduction to Fourier Transform and the frequency Domain, Computing
and Visualizing the 2D DFT, Smoothing Frequency Domain Filters, Sharpening
Frequency Domain Filters, Homomorphic Filtering
Restoration: A model of The
Image Degradation / Restoration Process, Noise Models, Restoration in the
presence of Noise Only Spatial Filtering, Processing Application, Periodic
Noise Reduction by Frequency Domain Filtering, Linear Position-Invariant
Degradations, Estimation of Degradation Function, Inverse filtering, Wiener
filtering, Geometric Mean Filter, Geometric Transformation
Image Segmentation: Detection of Discontinuities, Edge linking
and boundary detection, Thresholding.
Object Recognition:Patterns and Pattern Classes, Decision-Theoretic
Methods, Structural Methods.
Course Name: Cyber Security and Internet of Things
Course Code: EEE 4417
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 3215, EEE 3411
Fundamentals:Cyberspace, Definition of Cybersecurity,
Importance of Cybersecurity, CIA triad, Asset, Asset valuation, Hackers, types
of hackers, Hackers vs Crackers. Malware, types of malwares, breaches in cyber
security, Hacking Techniques and Attacks
Prevention techniques for different attacks: Firewall details, Virtual Private Network,
Intrusion Prevention/Detection System, IoT cloud security protocols such as DTLS, OAuth, SAML, etc.
IoT Systems: IoT fundamental concepts, key devices and connections, and the
technologies and protocols used to build these devices.
IoT device communication,
IoT enabling technologies, IoT applications especially for environment and
implications, perspectives, IoT architecture, component and technology (Device,
networking, cloud computing, and big data analysis), a simplified model, Sensors and actuators in IoT, Industry Markets and Applications,
Issues and Challenges.
IoT network, routing, and link layer protocols: 6LoWPAN, RPL; WLAN: IEEE 802.11, LPWAN: IEEE
802.11ah and LoRa, Short range communication: IEEE 802.15.4 (ZigBee), Near
Field Communication (NFC), IEEE 802.15.1 (Bluetooth).
Big Data in IoT: IoT data storage, cloud infrastructure and Big Data analytics for IoT,
and data analysis and visualization tools for IoT data.
IoT challenges:Computation and communication constraints,
power constraints, maintenance cost, reliability, data trustworthiness,
security, and privacy.
Course Name: Information and Coding Theory
Course Code: EEE 4419
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 3411, EEE 4411
and Mutual Information:
Entropy, joint entropy and conditional entropy, Relative entropy and mutual
information, chain rules for entropy, relative entropy and mutual information,
Jensen's inequality and log-sum inequality. Differential Entropy:
Differential entropy and discrete entropy, joint and conditional differential
entropy, properties of differential entropy, relative entropy and mutual
Rates of Stochastic Process: Markov Chain, Entropy rate
and hidden Markov models.
Coding: Kraft inequality,
optimal codes, Huffman code and its optimality, Shannon-Fano-Elias coding,
Capacity: Binary symmetric
channels and properties of channel capacity, channel coding theorems, joint
source and channel coding theorem.
Introduction to Gaussian Channel, Band limited channel, Parallel Gaussian
Channel, Gaussian Channel with feedback.
Course Name: Cellular
Mobile and Satellite Communication
Course Code: EEE 4421
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 3411
Modern wireless communication systems:Introduction to
cellular communication system, introduction to 3G,4G and 5G communication
systems. Paging Systems, Cordless, telephone System, Cellular Telephone Systems.
Mobile radio propagation: Propagation
characteristics, models for radio propagation, three basic propagation mechanisms.
Cell Planning and Channel
Concept:Introduction of cells; Cell planning process; frequency reuse, different
types of channels, Co-channel interference; Adjacent channel interference; cell
microcell zone concept, channel assignment strategies, Handoff Strategies.
GSM:Introduction of GSM; GSM services and features, GSM System
architecture, base station, mobile station, Subscriber
identity module (SIM), GSM radio subsystem, example of a GSM call, GSM
Channel Types, Frame Structure for GSM
Satellite Communication:The brief history of satellite communication,
types of satellite, basic satellite operation, orbit consideration, frequency
issues, aspects of propagation and antennas, link budget overview, broadcast
satellite service, fixed satellite service, mobile satellite service;
communication satellite subsystems, earth station. Introduction to Bangabandhu
RADAR:Introduction to radar
system, working principle of radar,
radar equation, radar components, different types of radar, advantages and disadvantages of radar,
applications of radar. Object detection
technique of Radar.
Course Name: Microwave and Antenna Engineering
Course Code: EEE 4423
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 2411
Introduction to Microwave Engineering:Microwave engineering; Microwave device; Microwave
system; Microwave units of measurement.
Details about HF Transmission Line: Transit time effect; Velocity modulation, Smith
Chart; Impedance Matching Technique and Application; EM propagation; Reflection
and Refraction; Microwave coaxial connectors.
Wave Guide Principles and Properties: Microwave cavities; Microwave hybrid circuits;
Waveguide components; Rectangular and circular waveguide; Microwave cavity
Antenna: The basic of Antenna Concepts; The origin of first
antenna; Definition; Patterns; Beam area; Radiation intensity; Beam efficiency;
Directivity- gainer solution; Different types of aperture; Friis transmission
formula; Duality of antenna; Antenna field zone, Radiation Patterns and Gain.
Point Source and Arrays: Phase scanning of Antennas Arrays; Array of
Point Source: Introduction to point source; Power pattern; A power theorem and
its application to an isotropic source; Radiation intensity; Source with
hemispheric power pattern; Field pattern and phase pattern; Arrays of two
isotropic point source.
Types of Antenna: Electric dipole antenna and thin layer antenna;
Small current element antenna; Long straight antenna; Loop antenna; Helical
antenna; Cylindrical antenna; Reflector antenna; Slot and horn antenna;
Broadband and frequency independent antenna; Patch or micro-strip antenna; Log
periodic antenna, Yagi-Uda antenna.
Course Code: EEE 4425
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 1211
Introduction: Introduction to optical fiber communication
systems. Elements of optical fiber communication links, advantages over
microwave systems. Propagation of light over optical fibers. Optical fiber: Types and
characteristics, transmission characteristics, fiber fabrication,
sources: Light emitting diodes and laser diodes, and their characteristics.
Intensity modulation, direct detection, coherent systems. their
characteristics. State-of-the-art applications of optical fiber communications
Optical amplifier: Optical transmitters and amplifiers. Optical detectors and receivers:
PIN photodiodes and avalanche photodiodes.
design:Optical waveguide, optical link design, Limitations in bandwidth and
distance due to attenuation and dispersion. Link budget calculations.
Applications: Selection of components for different applications.
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 1202
Introduction: Data Communications, components, Data Representation, Data Flow.
Data Theorems:Data Rate Limits, capacity Theorem, Nyquist Bit rate, Shannon Bit rate.
Performance, bandwidth Delay Product.
Digital Transmission: Digital-to-Digital Conversion, Baseline
wandering, Self-synchronization, Line coding schemes, Multilevel, multi
transition, Block coding Concept, Scrambling Techniques, DM, Transmission
Modes. Parallel transmission, serial Transmission, Synchronous and asynchronous
Bandwidth Utilization: Multiplexing, Analog
Hierarchy, Interleaving, Data Rate Management, Digital Hierarchy STDM, Spread
and Packet Switching: Circuit and Packet Switching techniques, different communication
Error Detection and Correction:Introduction, Single Bit Error, Burst Error,
Detection Vs Correction, Forward Error correction Vs retransmission, Block
Coding Hamming Distance, Linear Block Codes, Flow control techniques, CRC,
Hamming Code, parity, ECC, checksum.
Course Name: Wireless
Course Code: EEE 4429
Credit Hours: 3 Course Type: Elective III (Communication and Signal Processing) Prerequisite: EEE 4421
Introduction: Wireless communication systems, regulatory
bodies. Radio wave propagation: Free space and multi-path propagation, ray
tracing models, empirical path loss models, large-scale and small-scale fading,
power delay profile, Doppler and delay spread, coherence time and bandwidth.
Time-varying channel models, narrowband and wideband fading models, baseband
equivalent model, discrete-time model, space-time model, auto- and cross
correlation, PSD, envelope and power distributions, scattering function.
to Data Structures:
Purposes of Data Structure, Operations. Complexity of Algorithms: Asymptotic
Notation and Runtime Analysis of Algorithms, (space and time complexity)
Sorting: Selection Sort,
Inserting Sort, Radix Sort, Sort, External Sort (basic concept and complexity).
Array: Insertion, Deletion, Bubble sort and complexity, Binary Search
and complexity, Sequential Searching; Sparse matrices; Usefulness of sparse
matrices. Strings: Implementations and developing algorithms using
strings, pattern matching: Naïve, KMP, Robin karp.
List: Singly Linked Lists,
Doubly Linked Lists and Circular Linked Lists; Basic Operations on Linked List
(Insertion, Deletion, Searching, Sorting and Traverse).
Stack: Basic Stack Operations (Push and Pop
Operations), Infix, Postfix and Prefix Notation of Arithmetic Expressions,
Conversions and Evaluations of Arithmetic Expressions Using Stack. Recursion:
Direct and indirect recursion, Towers of Hanoi using recursion, Ackerman
function. Queue: Basic Queue Operations (Insertion and Deletion), types
of Queue, Linear Queue, Priority Queue, Circular Queue and Double-ended Queue.
Trees: Basic terminology; Binary Tree: Binary tree
representation, Traversal of Binary Tree (Inorder, Preorder and Postorder), Application
of Binary Trees, Expression Tree.; Binary Search
Tree: BST representation, Basic Operations (Creation, Insertion, Deletion and
Traversing); Heap Tree: Max and Min Heap, Operations on Heap (Insertion and
Deletion); Balanced Tree: AVL Tree (insertion, deletion); General Tree:
Representation of General Tree, Conversion Algorithm (General Tree to Binary
Graphs: Graph Representation (Using Adjacency Matrix
and Adjacency List), Basic Operations on Graph (Node/ Edge Insertion and
Deletion); Traversing a Graph: Breadth-first Search, Depth-first Search (Basic
Hashing: Hash Function, Open Hashing and Close Hashing,
Open addressing, Chaining, applications of hashing in cryptography.
Course Name: Machine Learning
Course Code: CSE 4313
Credit Hours: 3 Course Type: Elective IV (Computer Engineering) Prerequisite: CSE 1204, SAT 2107
Introduction to Machine Learning;
Classification of learning:
Unsupervised and supervised learning;
Regression Algorithms for building an adaptive
system: Linear regression (Univariate and multivariate), Polynomial regression,
Logistic regression, Bias-variance tradeoff, Regularization of logistic
regression, Support Vector Regression, Decision Tree, Random Forest Regression.
Algorithms for building an adaptive system: Supervised and unsupervised
classification; Support Vector Machine, Kernel Support Vector Machine, Decision
Tree, Random Forest Classification.
(K-Means Clustering, Hierarchical Clustering), Dimensionality Reduction
(Principle Component Analysis), Artificial Neural Network, Q Learning, Deep Q
Learning, A3C Statistical performance evaluation techniques of learning algorithms:
bias-variance tradeoff; Practical applications of machine learning, Deep
Scope: AI and its Subfields with Applications. Search: Uniformed/Blind, Informed, Adversarial.
Reasoning: Goal Trees and
Problem Solving, Rule-Based Expert Systems, Uncertainty, Probabilistic
Reasoning. Knowledge Representations:
Propositional Logic, Predicate Logic, Generalized Quantifier Theory. Game theory: Games and
adversarial search, Games vs. single-agent search, Game tree, Alpha-beta
pruning, Nash Equilibrium and Mixed Strategy equilibrium
Learning: Introduction to
Learning, Nearest Neighbors, Support Vector Machines, Genetic Algorithms,
Subdomain of AI -
Natural Language Processing (NLP): Introduction, Intuitions, Application Fields,
Syntactic Structures, Grammar formalism, CFG’s, Meaning Representation
(Semantics), Language Models (char/word n-grams), Computational Distributional
Semantics (Embeddings), Machine Translation.
Constraints: Visual Object
Recognition, Multi-Agent Systems
Course Name: Computer Organization and Architecture
Introduction to NN: Differences among AI/ML/DL, Subcategories of ML and
their working principle, Decision Boundary, Classification Example: AND, OR,
XOR, Biological Vs. Artificial NN.
of Neural Network: An abstract example of NN, Supervised Learning with NN,
Popular NN Architectures (ANN, CNN, RNN, Transformers), Reason behind Deep
Structural Building Blocks of NN: Input/Output Layers,
Weights and Bias, Activation Function (non-linearity), Summation Vs. Matrix.
Perceptron (A Simple NN): Linear Regression, Training set, Input/Output,
Forward Propagation, Pitfall of Single Layer Perceptron.
Multi-Layer NN:Concepts of Hidden
Layer, XOR Calculation Using Summation Formula, ReLU Activation Function,
Vectorized Representation of Multi-Layer NN, Adding Bias as a weight.
Learns: Weight Initialization (Random vs. Zero), Expected Vs Predicted
Output, Loss and Cost Function, Back-propagation Basics.
Logistic Regression (LR): The pitfalls of Linear Regression, Binary
Classification, From Linear to Logistic Regression, Sigmoid Activation
Cost Function: Training/Dev/Test set, Loss function: M.S.E, Convex Vs.
Non-convex, Local Vs. Global Optima, Log/Cross-Entropy Loss., L1 and L2 M.A.E,
Cost Function, SoftMax Activation Function.
Descent (G.D): Finding the Global Optima, Derivatives, Weights and Bias
Update, Learning Rate, Computation Graph.
Backward Propagation:Back-prop using
Computation Graph, G.D with Back propagation for LR, G.D with ‘M’ training
examples, G.D Algorithm using Summation, Vectorized G.D, Updating Weights and
Bias, Iteration Vs. Batch Vs. Epochs.
to Fuzzy Logic: Fuzzy Set, Fuzzy Set Operations - Union, Intersection,
Complement, Properties of Fuzzy Set, Extension Principles, Alfa-cuts.
Fuzzy Relations:Properties, Basic Operations,
Compositions of Fuzzy Relations.
Properties, Addition, Subtraction of Discrete and Continuous Fuzzy Number,
Addition and Subtraction of Discrete Fuzzy Number through Extension Principle,
Multiplication and Division
of Fuzzy Number.
Linguistic Description: Linguistic Variables and Values, Implication Relations, Fuzzy
Inference, and Composition.
Grading Scale: 4.00Grades: The performance of a student in a given course is made through continuous and summative assessments. That comprises quizzes / in-course, class participation, attendance, home work/assignment, case study, class test, mid-term and semester final examinations. Letter grades and grade points are used to evaluate the performance of a student in a given course. A+, A, A-, B+, B, B-, C+, C and D are the passing grades while F is the failing grade. Letter grades and corresponding numerical grades used in calculating the GPA/CGPA (Cumulative grade point average) are as follows:
80% and above
75% to less than 80%
70% to less than 75%
65% to less than 70%
60% to less than 65%
55% to less than 60%
50% to less than 55%
45% to less than 50%
40% to less than 45%
Less than 40%
Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA):
Grade Point Average (GPA) is the weighted average of the grade points obtained in all the courses attempted by a student. The four-step procedure that will be followed to calculate the CGPA (Cumulative Grade Point Average) of a student is given below:
Grade points earned in each course will be computed by multiplying the credit (Ci) and the individual grade point (Gi) earned in that course (i.e., Ci*Gi).
The grade points (determined in step i) of all the attempted courses will be added to determine the total grade point earned (i.e., ∑Ci*Gi).
Credits of all courses will be added together to determine the total credits (∑Ci).
CGPA will be determined by dividing the result of step (ii) by the result of step (iii). For example, if a student attempted n courses in a semester having credits C1, C2, … , Cn and his/her grade points in these courses are G1, G2, … , Gn respectively, then the CGPA can be calculated as follows:
A Numerical Example
Suppose a student has completed six courses in a semester and obtained the following grades:
Ci * Gi
∑Ci * Gi= 51.00
CGPA = (51.00 / 16.50) = 3.09
Note: If the 3rd digit after decimal points is above ‘0’, grade will be rounded (ceiling) into the second digit after decimal. For example, 2.990 will be counted as 2.99 while 2.991 will be counted as 3.00 in CGPA calculation.