1. 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;
2. Biosensors: Sensors for monitoring patients, Non-invasive biosensors for measuring metabolism and biophysical transport.
3. 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.
4. Introduction to bio–Medical Imaging: X-ray, CT scan, MRI and Ultrasonogram.

Course Name: Introduction to Chemistry

Course Code: CHE 1101

1. 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.
2. 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.
3. 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.
4. 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.
5. 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: Differential and Integral Calculus

Course Code: MAT 1203

1. Number System: Natural Number, Integer, Rational Number, Irrational Number, Real Number, Even and Odd Number, Prime Number.
2. 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
3. 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.
4. 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

Course Code: MAT 1205

1. 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
2. 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.
3. 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

Course Code: MAT 2209

1. 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.
2. 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.
3. 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

Course Code: MAT 2301

1. 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,
2. 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.
3. 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
4. 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. 

Course Name: Numerical Methods Laboratory

Course Code: MAT 2304

1. Introduction to Numerical Computation and Computer programming with C/C++/MATLAB/Python.
2. Root finding-bisection, Regula-Falsi, Newton-Raphson Method using Computer Application.
3. Solving transcendental equations using Programming.
4. System of linear equations using MATLAB.
5. Solving Numerical Integrations-Trapezoidal, Simpson’s Rule.
6. Curve fitting techniques
7. Solution to linear differential equations

Course Name: Statistics and Probability

Course Code: SAT 2107

1. Statistics: Basic concepts of frequency distribution, measures of location and variation, permutation, combination, sets.
2. 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.
3. Queuing Theory: Stochastic processes, discrete time Markov chain and continuous time Markov chain, birth-death process in queuing, queuing models.

Course Name: Civil Engineering Drawing

Course Code: CE 2101

Course Name: Introduction to Computer Engineering

Course Code: CSE 1202

1. Introduction to Computers: Early history of computing devices, Major components of a computer;
2. Hardware: Processor, Memory, I/O devices, Hard Disk, Storage media, CD ROM, DVD, Printer, Scanner;
3. Software: Function of operating system, Discussion on different types of operating system;
4. MS Office Tools: MS Word, MS Excel, Power Point etc.
5. Networking: Different types of networks, Network topologies, Communication media.

Course Name: Basic Computer Programming

Course Code: CSE 1204

1. 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.
2. 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.
3. 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

Course Name: Basic Mechanical Engineering

Course Code: ME 1101

Course Name: Electrical Circuits I

Course Code: EEE 1111

1. 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, , 
2. Techniques of circuit analysis: Branch current method, Nodal and mesh analysis including super node and super mesh. 
3. 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. . 
4. 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. 
   
5. 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 Equivalents,
   
6. 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 circuits. 

Course Name: Electrical Circuit II

Course Code: EEE 1113

Course Description:

1. Transient 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. 
2. Resonance in AC circuits: Series, parallel resonance and Q factor.
3. Analysis 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. 
4. 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.
5. Coupled circuits: Conductively Coupled Circuits, Mutual Impedance, Coefficient of coupling, magnetic coupling, Dot convention, Energy in coupled circuits. 
   

Course Name: Electronics I

Course Code: EEE 1211

Course Description:

1. 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.
   
2. 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 inverter.
   
3. 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.
   
4. 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;
   

Course Name: Electrical Simulation Laboratory

Course Code: EEE 1220

Course Description:

1.  What is Simulation? MATLAB introduction. Vector and Matrices
2. Program, function and conditional statement
3. Complex numbers and visualization
4. Solving Equation
5. Electric Circuit Analysis-I
6. Electric Circuit Analysis-II
7. Introduction to Simulink
8. Simulink model 
9. Circuit analysis using Simulink

Course Name: Semiconductor Physics and Devices

Course Code: EEE 2211

Course Name: Electronics-II

Course Code: EEE 2213

1. 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
   

2. 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 amplifiers.

   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;
   
3. 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,
   
4. 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.
   
5. Multi vibrators: Bistable, Monostable, Astable, different types of bistable with their circuits and operating techniques.
   

Course Name: Electrical Machines I

Course Code: EEE 2311

1. Introduction to Machinery Principles: Basic Structure of Linear DC Machine.
   
2. 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.
   
3. 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.
   
4. Special DC motor:  Servo motor, Stepper motor, Brushless dc Motor.
   
5. 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.
   
6. Three-phase transformer: Three-Phase Transformer Connection Diagram, Vector Group, Parallel Operation and Testing; Autotransformer, Harmonics of Poly Phase Transformers.
   

Course Name: Electrical Machines II

Course Code: EEE 2313

1. 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 generalized machines.
   
2. 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).
3. 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, house diagrams.
4. 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 correction.
5. 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 motors. 

Course Name: Electromagnetic Fields and Waves

Course Code: EEE 2411

1. 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
   
2. 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 applications.                                                                                                        
   
3. 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.
4. 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 capacitance. 
   

Course Name: Electromagnetic Fields and Waves

Course Code: EEE 2413

1. 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.
2. Time Invariant (LTI) systems: Linearity, Causality, Time invariance, Memory, Stability, and Inevitability.
   
3. Time domain analysis of LTI systems: Analogous 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.
   

4. Frequency 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 frequency-division multiplexing. 
   

Course Name: Signals and Systems

Course Code: EEE 2413

1. 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.
   
2. Time Invariant (LTI) systems: Linearity, Causality, Time invariance, Memory, Stability, and Inevitability.
   
3. Time domain analysis of LTI systems: Analogous 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.
   

4. Frequency 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 frequency-division multiplexing.
5. 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.
6. Introduction to Random signals: Stationery, Ergodicity, Noise models, Correlation and power spectrum, Distribution and density functions.
   

Course Name: Measurement and Instrumentation

Course Code: EEE 3113

1. 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.
   
2. Transducer: Resistive, strain gauges, thermal, magnetic, LVDT, capacitive, piezoelectric, optical, current and potential transformers.
   
3. Electronic measuring instruments:  Oscilloscope, DMM, VTVM, TVM.
   
4. Computer based instrumentation: PC-based data acquisition, filtering by moving average, Instrumentation for process control, data conditioning.
   
5. 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.
   

Course Name: Digital Electronics

Course Code: EEE 3211

1. Number systems: Representation of numbers in different bases, Addition and subtraction in different bases, complement: Subtraction using complements, Binary multiplication and division.
   

2. Binary codes: Different coding systems, Boolean algebra, various gates, Sum of products and product of sums, Standard and canonical forms and other logical operations.

   Simplification of Boolean functions: Karnaugh map method, Tabular method of simplification; Implementation of logic circuit using various gates, Universal gates.
   
3. 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
   

4. 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 interfacing.

   Converters: Digital to Analog (D/A), Analog to Digital (A/D) converters, and their applications.
   
5. Digital IC logic families: Brief description of TTL, DTL, RTL, ECL, I2L, MOS and CMOS logic and their characteristics, principles of operation and application.
   

Course Name: Science of Materials

Course Code: EEE 3213

1. Material: Definition. Classes of materials, Properties of materials, Metals, Ceramics, Polymers and Composites: structures and uses.     
2. 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.
3. 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.
4. 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. Superconductivity.  
5. 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.
6. 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. 
7. 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.
   

Course Name: Microprocessors and Interfacing

Course Code: EEE 3215

1. 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 CISK processor; 

2. Assembly Language: Basic Instruction Sets and Assembly language Programming based on 8086 microprocessor.
   

3. 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.

4. Interfacing: Introduction, interfacing to microprocessor to keyboards, alphanumeric displays. Introduction to microcomputers and interfacing to microcomputer ports to high power devices.

5. 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 on microcontroller.

6. PIC Microcontroller: Introduction To PIC Microcontroller, Internal Architecture, Components and Programming.  Some PIC Based Project work. 

7. Arduino and Raspberry Pi: Introduction of Development boards. 
   

Course Name: Electronic Shop Practice

Course Code: EEE 3220

1. 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. 
   
2. Soldering and de-soldering practice: soldering and de-soldering of electronic circuits, Design of PCB layout
   

3. Circuit Analysis and Troubleshooting: Study circuit diagrams and troubleshooting techniques of following appliances that are used in domestic and commercial places:

   FAN regulator, Telephone, Scanner, IPS and UPS, Mobile phone transmitter and receiver, VCD and DVD player, Desktop Computer and Laptop. 

Course Name: Transmission and Distribution of Electrical Power

Course Code: EEE 3311

1. 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 resistance.
   
2. 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.
   
3. Mechanical characteristics of transmission line: Sag and stress analysis; Wind and ice loading, supports at different elevation conditions at erection; effect of temperature changes.
   
4. 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.
5. Voltage and power factor control in transmission systems: Tap changing Transformers; on load tap changing. Inductance regulators. Moving coil regulators, Boosting transformers, Power factor control; static condensers; synchronous condenser.
   

Course Name: Power System Analysis

Course Code: EEE 3313

1. 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 matrix.
2. 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.
   
3. 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 calculations.
   

4. 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.

Course Name: Switchgear and Protection

Course Code: EEE 3315

1. 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.
   
2. 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 problems.
   
3. 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.
   
4. Safety Equipment: Equipment Grounding, Neutral Grounding, Solid Grounding, Resistance Grounding, Reactance Grounding, Resonant Grounding and Mathematical Problems, Reactors, lightning arresters and strokes.
   
5. Power system Protection: Bus-bar, Protection of lines, Overcurrent Protection, Sub-Station, Alternators and transformer protection.
   

Course Name: Electrical and Electronic Service Design

Course Code: EEE 3315

1. 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.
   
2. 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.
   
3. 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.
   
4. Introduction to CCTV, Fire Detection and Alarm system, Firefighting system, Burglar Alarm system, Introduction to modern Lifts and their installation.
   
5. AutoCAD design of electrical wiring for buildings and industries.
   

Course Name: Electrical Machine Design

Course Code: EEE 3330

1. Design principles of Electrical Machines, Heating and Cooling of electrical Machines, Ventilation techniques.
   
2. Design of Electric Power Transformers, Transformers for Electronics (AF and RF) circuits. Design of Electric Autotransformers. Design of Electric Welding Transformer.
   
3. Design of Electrical machine Winding (Lap Winding and Wave Winding) 
   
4. Introduction to CAD Tools for Machine Design.
   

Course Name: Communication Engineering

Course Code: EEE 3411

1. Introduction of communication systems: Basic principles, fundamental elements, system limitations.
   
2. Information Theory: Information and system capacity, Information transmission, Entropy, Continuous channel capacity, Transmission through electrical network.
   
3. Analog communication: AM, FM, PM, DSB, SSB, VSB, ISB, with circuit techniques.
   
4. Digital communication: Introduction, Nyquist sampling theorem, Quantization of analog system, Quantization noise, PAM, PWM, PPM, PCM, LOG PCM, and systems, Digital modulations, ASK, FSK, PSK, BPSK, MSK, M-array digital modulation, QAM, QPSK, Delta modulation, Multi carrier modulation, line coding, Frame construction, Error Probability. ISDN, B-ISDN, SONET, SDH
   
5. Multiple access techniques: Space division multiple access, frequency division multiple access, time division multiple access and code division multiple access, spread spectrum technique
   
6. Noise: Physical sources of noise, types of noise, characteristics of noises, signal to noise ratio and noise figure.
   

Course Name: Object-Oriented Programming for Electrical Engineers

Course Code: EEE 3512

1. Declaration of Classes, Objects and Constructor (Class Fundamentals, Declaring Objects, Assigning Object Reference Variables) and develop java programs using the elements. 
   
2. Using of Methods: Overloading Methods, Using Objects as Parameters, Returning Objects.  Using of this Keyword, Garbage Collection and the finalize Method when developing java programs.
   

3. Implementation of Recursion in Java, Understanding Static, using Final Keyword for various purposes.

   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 with Inheritance)
   

4. Implementation 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)
   

Course Name: Control Systems

Course Code: EEE 4311

1. Introduction: Introduction to the control system, open loop and closed loop systems, the design process.
   
2. 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.
   
3. Block diagram approach: Signal flow graph; block diagram theory; block diagram reduction method;
   
4. 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 compensation.
   
5. 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.
   
6. Stability analysis: Analysis methods such as Nyquist stability criterion, root locus, routh's criteria, Stability margins, gain and phase margin, maximum magnitude, resonant frequency
   
7. Controller Design: P, I, PI, PD, and PID types, optimum controller design, robust controller design,
8.  Non-linear control: Introduction to nonlinear control, Lyapunov stability criteria. Introduction to neural and fuzzy control.
   

Course Name: Digital Signal Processing

Course Code: EEE 4411

1. 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.
   
2. 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 complexity.
   
3. Z-Transforms: Regions of convergence, convolution property and graphical interpretation of the convolution operation, z-transforms of cascaded systems, stability and causality.
   
4. 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.
   
5. 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.
   
6. 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.
   
7. Wavelets: Short time Fourier transform; fundamentals of wavelets, wavelet transform (continuous and discrete), time – frequency density and orthogonal bases.
   

Course Name: Design Project

Course Code: EEE 3900

1. 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 project coordinator. 
   

Course Name: Industrial Attachment

Course Code: EEE 4910

1. 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.
   
2. At the end of the course Students needs to submit a technical report for each industrial exploration considering above mentioned points.  
   

Course Name: Capstone Project

Course Code: EEE 4900

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 students.

Course Content:

The 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.

Course Name: Power System Reliability

Course Code: EEE 4313

1. Review of probability concepts. Probability distribution: Binomial, Poisson, and Normal.
2. Reliability concepts: Failure rate, outage, mean time to failure, series and parallel systems and redundancy. Markov process. Probabilistic generation and load models.
   
3. 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.
   

Course Name: Power System Operation and Control

Course Code: EEE 4315

1. 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).
2. Application Functions: state estimation; short term load forecasting; unit commitment (UC); Economic Dispatch (ED); Optimal Power Flow (OPF).
3. 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.
   
4. Power system security: static and dynamic; security constrained OPF.
   
5. Electricity market operation: GenCos, ISO, DisCos, bidding, spot market, social welfare, market clearing price (MCP), locational marginal price (LMP), bilateral contracts and forward market, hedging.
   
6. Demand Side Control: DMS (distribution management system), DSM (demand side management), smart grid concept.
   

Course Name: Nuclear Power Engineering

Course Code: EEE 4317

1. Basic concepts: nuclear energy, Prospects of Nuclear energy; History of Nuclear Engineering, atoms and nuclei, radioactivity, nuclear processes, fission, fusion.
   
2. 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.
   
3. Grid interconnection issues: effects of frequency and voltage changes on NPP operation. Advanced and next generation nuclear plants.
   

4. Safety 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. 
   

Course Name: Microgrid and Smart Grid

Course Code: EEE 4319

1. Distributed generation and Microgrid concept: Concept of Microgrid, A typical Microgrid configuration, Technical and economic advantages of Microgrid, Challenges and disadvantages of Microgrid development
   
2. Control schemes: droop control, centralized control scheme, master slave scheme, average load scheme, tertiary control
   
3. Introduction to smart grid: Network architecture, two-way communication, smart sensors network.  Distributed energy resources (DERs), distributed generation (DG) and grid scale energy storage (ES)
   
4. 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 reserve markets.
   

5. 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.

6. Metering Infrastructure: Smart meters and advanced metering infrastructure (AMI); Load scheduling, Building energy management, energy management scheduler, real-time pricing and ancillary service;

Course Name: Power Electronics

Course Code: EEE 4321

1. 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),
2. 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).

   DC/DC converters: Switching regulators (buck, boost, buck-boost, Ĉuk).

   DC/AC converters: Types, applications, single phase and three phase inverters with resistive and inductive loads, inverter voltage control techniques, PWM inverters.
   
3. Various Applications of Converters: Power supplies, Dielectric and Induction Heating, Resistance welding, UPS (Uninterruptible power supplies), Solar energy conversion systems,
4.  Introduction to motor control: Scalar and field-oriented control, Variable frequency drive (VFD), DC drives, soft starter.
   

Course Name: Power Plant Engineering

Course Code: EEE 4323

1. Energy Sources: Fossil fuels, nuclear fission, renewable sources-hydro, biomass, solar, wind, geothermal; pumped storage hydro.

   Power Plant Planning: Generating capacity and selection of plants, types of load and their effects. Plant Location: Site selection for different plants, plant performance
   
2. 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 types.
   
3. Reliability Concepts: Failure rate, outage, mean time of failure, series and parallel systems and redundancy, Reliability evaluation techniques of single area system.
   
4. Energy Tariff: Description, types and tariff in Bangladesh.
   

Course Name: Renewable Energy

Course Code: EEE 4325

1. Conventional energy sources, reserves, challenges, alternatives.: Importance of renewable energy sources. Renewable energy sources: Solar, wind, mini-hydro, geothermal, biomass, wave and tides.
   
2. 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.
   
3. 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.
   
4. Economic reliability of renewable sources: Payback and annuity calculation, environmental impact.
   

Course Name: High Voltage Engineering

Course Code: EEE 4327

1. High voltage supplies:

   AC: Cascaded Transformers, Tesla coils.

   DC: High voltage DC. Transmission, merits and demerits over AC transmission; Valve Rectifier circuits, Cascaded Rectifiers, ripple minimization, voltage multipliers, Electrostatic generators, Graff generators.

   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.
   
2. 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.
   

3. 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, standard specifications; 
   

Course Name: FACTS Devices

Course Code: EEE 4329

1. Introduction to FACTS: Definition and classification of FACTS, general equivalent circuit of FACTS.
   
2. Static var Compensation: analysis 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.
   

Course Name: Analog Integrated Circuit

Course Code: EEE 4211

1. Analog IC Design: Bipolar, MOS and BiCMOS IC technology and its impact, eggshell analogy, application areas and the future of analog IC design.
   
2. 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 reference.
   
3. 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.
   
4. High-gain amplifiers: Design 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, high-performance Op-Amps.
   

Course Name: Optoelectronics

Course Code: EEE 4213

1. Optical 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.
   
2. Properties of light: Particle and wave nature of light, polarization, interference, diffraction and blackbody radiation
   
3. Light 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 LEDs.
   
4. Stimulated 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.
   
5. 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 design issues.
6. Modulation of light: Phase and amplitude modulation, electro-optic effect, acousto-optic effect and magneto-optic devices.
   

Course Name: Introduction to Nanotechnology

Course Code: EEE 4215

1. 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.
   
2. Fullerences 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.
   
3. Quantum 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.
   
4. Light and nanotechnology: Interaction of light and nanotechnology, Nano holes and photons, Solar cells, nanoparticles and nanostructures; optically useful nanostructured polymers, Photonic Crystals.
   
5. Tools 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.
   

Course Name: RF Microelectronics

Course Code: EEE 4217

1. 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.
   
2. 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.
   

3. Basic blocks in RF systems and their VLSI implementation: Low Noise Amplifiers design in various technologies, Design of Mixers at GHz frequency range.

   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 single-sideband generators
4. 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.

Course Name: VLSI Design

Course Code: EEE 4219

1. CMOS operation: MOS 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.
   
2. Integrated circuit 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.
   

3. Delay: RC delay model, Linear delay model, logical efforts, timing analysis,

   Power: Dynamic Power, Static Power, Low power architecture.
4. 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, 
   
5. 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

1. Introduction to Biomedical: Human body, Cells and physiological systems, Medical Electronics, Ethical issues.
   

2. Bioelectricity: 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.
   
3. Electrocardiogram: ECG circuit design, electrocardiography, phono cardiograph, vector cardiograph, analysis and interpretation of cardiac signals, cardiac pacemakers and defibrillator. Electroencephalogram (EEG), electromyogram (EMG).
   
4. 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 devices.
   
5. 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.
   

Course Name: HDL for Digital System Design

Course Code: EEE 4223

1. 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).
2. 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.
   
3. 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.
   

Course Name: Embedded System Design

Course Code: EEE 4225

1. 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.
   
2. 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.
   
3. 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.
   
4. Designing with Microprocessors and Microcontrollers: Development and debugging, design examples, design patterns, data-flow graphs, assembly and linking, basic compilation techniques, analysis and optimization.
   
5. Distributed Embedded-system Design: Inter-process Communication, shared memory communication, accelerated design, design for video accelerators, networks for embedded systems, network-based design, internet-enabled systems.
   
6. FPGA 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. 
   

Course Name: Introduction to Robotics

Course Code: EEE 4227

1. Introduction to Robotics: Definition of Robot, History of Robotics, Laws of robotics, Robot’s characteristics, robot’s configurations and Work envelop, Types of Robots
2. 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
   
3. 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
   
4. Robot Controls: Basic 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.
   

5. 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, Collaborative Tasks.

Course Name: Random Signal Processing

Course Code: EEE 4413

1. 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
   
2. 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.
3. Filters: Optimal linear filters: Wiener Filter, FIR Wiener filter, Non-Causual IIR Wiener Filter, Causal IIR Wiener Filter, Adaptive Filters, Kalman Filters
   
4. 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 Image Processing

Course Code: EEE 4415

1. Introduction 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 Non-Linear Operations
2. Digital image Representation: Reading, Displaying, Writing Images, Data Classes, Image Types, Converting Between data classes and Image Types,
   
3. Image 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 Processing Application
   
4. 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
   

5. Image 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 Compression: Coding, Interpixel and Psychovisual Redundancy, Image Compression models, Compression standards.

   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

1. Cyber Security 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.
   

2. 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 sustainability

   Definitions, 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.
   

3. IoT application layer protocols: HTTP, REST, CoAP, MQTT, Web Socket, AMQP, etc.,

   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).
   

4. Big Data in IoT: IoT data storage, cloud infrastructure and Big Data analytics for IoT, and data analysis and visualization tools for IoT data.

5. 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

1. Entropy 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 information.

   Entropy Rates of Stochastic Process: Markov Chain, Entropy rate and hidden Markov models. 
2. Source Coding: Kraft inequality, optimal codes, Huffman code and its optimality, Shannon-Fano-Elias coding, arithmetic coding.

   Channel Capacity: Binary symmetric channels and properties of channel capacity, channel coding theorems, joint source and channel coding theorem.

   Coding algorithm: Block coding and decoding, BCH, RS codes, Convolutional coding, Viterbi Decoder, Turbo codes, decoding techniques STBC, SFBC, STFBC.
   
3. Gaussian Channel: 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

1. 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.
   
2. Cell Planning and Channel Concept: Introduction of cells; Cell planning process; frequency reuse, different types of channels, Co-channel interference; Adjacent channel interference; cell splitting, sectoring, microcell zone concept, channel assignment strategies, Handoff Strategies.
3. 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
   
4. 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 Satellite-1.
5. 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

1. 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.
2. Wave Guide Principles and Properties: Microwave cavities; Microwave hybrid circuits; Waveguide components; Rectangular and circular waveguide; Microwave cavity resonator.
3. Microwave Generation and Analysis: O-type and M-type; Klystrons; Multi-cavity klystron amplifier; Reflex klystron oscillator; Backward wave oscillator; Magnetron; Traveling wave tube.
   
4. 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.
   
5. 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.
6. 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 Name: 

Course Code: EEE 4425

1. 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, 
   

2. Optical 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.
   

3. Optical link 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.

   Multi-channel optical system: Frequency division multiplexing, WDM, DWDM, co-channel interference, optical CDMA.

   Fiber optic networks: SONET, SDH, Telephone and computer networks, Cable TV.
   
4. Optical Fiber Splicing: fiber joints, splicing, couplers, connectors.
   

Course Name: Data Communication

Course Code: EEE 4427

1. Introduction: Data Communications, components, Data Representation, Data Flow.
   
2. Data Theorems: Data Rate Limits, capacity Theorem, Nyquist Bit rate, Shannon Bit rate. Performance, bandwidth Delay Product.
   
3. 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 transmission.
   

4. Bandwidth Utilization: Multiplexing, Analog Hierarchy, Interleaving, Data Rate Management, Digital Hierarchy STDM, Spread Spectrum;

   Circuit and Packet Switching: Circuit and Packet Switching techniques, different communication protocols 
   
5. 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 Communication

Course Code: EEE 4429

1. 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.
2. Statistical Channel Models: 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.
3. Channel Capacity: Flat fading channels - CSI, capacity with known/partially known/unknown CSI. Frequency-selective fading channels - time-invariant channels, time-varying channels.
4. Performance of digital modulations: Error and outage probability, inter-symbol interference, MPSK, MPAM, MQAM, CPFSK.
5. Diversity Techniques: Time diversity - repetition coding, beyond repetition coding.  Antenna diversity - SC, MRC, EGC, space-time coding. Frequency diversity - fundamentals, single-carrier with ISI equalization, DSSS, OFDM. 
   

6. Space-time Communications: Multi-antenna techniques, MIMO channel capacity and diversity gain, STBC, OSTBC, QOSTBC, SM, BLAST, smart antennas, frequency-selective MIMO channels.

   Broadband Communications: DSSS, FHSS, spreading codes, RAKE receivers, MC-CDMA, OFDM, OFDMA, multiuser detection, LTE, WiMAX. 
   

Course Name: Data Structure

Course Code: CSE 1413

1. Introduction to Data Structures: Purposes of Data Structure, Operations. Complexity of Algorithms: Asymptotic Notation and Runtime Analysis of Algorithms, (space and time complexity) factors.
   
2. Basic 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.
3. Linked List: Singly Linked Lists, Doubly Linked Lists and Circular Linked Lists; Basic Operations on Linked List (Insertion, Deletion, Searching, Sorting and Traverse).
   
4. 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.
5. 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 Tree).
   
6. 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 concept).
   
7. Hashing: Hash Function, Open Hashing and Close Hashing, Open addressing, Chaining, applications of hashing in cryptography.
   

Course Name: Machine Learning

Course Code: CSE 4313

1. 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.
2. Classification Algorithms for building an adaptive system: Supervised and unsupervised classification; Support Vector Machine, Kernel Support Vector Machine, Decision Tree, Random Forest Classification.
   
3. Clustering (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 Learning;.

Course Name: Artificial Intelligence

Course Code: CSE 3317

1. Introduction and Scope: AI and its Subfields with Applications. Search: Uniformed/Blind, Informed, Adversarial.
   
2. 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
   
3. Learning: Introduction to Learning, Nearest Neighbors, Support Vector Machines, Genetic Algorithms, Reinforcement Learning.
   
4. 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.
   
5. Constraints: Visual Object Recognition, Multi-Agent Systems
   

Course Name: Computer Organization and Architecture

Course Code: CSE 3737

1. Basic Computer Organization and Design: Instruction Codes, Addressing, Design of a Basic Computer, Instruction, Interrupt; Central Processing Unit: General Register Organization, Stack Organization, Instruction Formats, Addressing Modes;
   I/O Organization:  I/O Interface, Data Transfer, Priority Interrupt, DMA;
   Memory Organization: Memory Hierarchy, Memory Mapping, Writing into Cache.

2. Instructions: Language of the computer Introduction, MIPS, Logical Operations;
   Computer Arithmetic: Algorithms for mathematical operation.
   

3. Assessing and Understanding Performance: CPU Performance and its Factors, Evaluating Performance;
   Enhancing Performance with Pipelining: Pipelined Datapath, Control, Hazards;
   Microprocessors: Characteristics of multiprocessors, Interconnection Structures, Cache Coherence
   

Course Name: Computer Networks

Course Code: CSE 3567

1. Computer Networks and the Internet, concepts of delay, security, and Quality of Service (QoS), Application Layer: Web/HTTP, FTP, eMail, DHCP, DNS, SMTP, PO3, and P2P applications

   Transport Layer: UDP, TCP, Congestion Control, etc.
   
2. Network Layer: IP, IPV6, and link-state and distance vector routing algorithms and protocols
   
3. Socket Programming: Creating Network Applications, Link Layer: Errors, Multiple Access, Media Access control, Addressing, Switching
   
4. Wireless Networks and Security
   

Course Name: Artificial Neural Network and Fuzzy Systems

Course Code: CSE 4371

1. A Gentle 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.

   Applications of Neural Network: An abstract example of NN, Supervised Learning with NN, Popular NN Architectures (ANN, CNN, RNN, Transformers), Reason behind Deep Learning's success.

   Structural Building Blocks of NN: Input/Output Layers, Weights and Bias, Activation Function (non-linearity), Summation Vs. Matrix.
   

2. Single Layer 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.
   

3. How NN's 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 Function.

   Loss and 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.

   Gradient 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.
   

4. Introduction 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.

   Fuzzy Number: Representation, 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.

   Fuzzy Linguistic Description: Linguistic Variables and Values, Implication Relations, Fuzzy Inference, and Composition.