EE305 Electronic II (3units)
(BJT)Amplifier applications: Capacitive coupling, Direct coupling, Transformer
coupling, Optical coupling, Phase splitter, Multistage amplifier analysis, Cascade
configuration. Power Amplifiers and Power Supplies: Classes of amplifiers (class-A
operation, class-B operation, class-AB operation, class-C operation). Power amplifier
circuits (class-A, class-B). Power supply using power transistors (discrete components,
IC regulator). Practical operational amplifiers (OA): dc transfer characteristics,
common mode and differential mode, Op-amp frequency response, Differential
summing, designing amplifiers using multiple Op-amp, Power audio Op-amp, Non
linear applications for Op-amp. Applications of Op-Amp: Active filters using Op-Amp.
Feedback amplifiers: Principles of negative feedback and its advantages, effect of
feedback on gain stability, dynamic response, input and output impedances. Sinusoidal
Oscillators: Principle of oscillation, various types of Oscillator's circuits: Tuned circuit,
RC, Wien Bridge, Hartley, Colpitts and Crystal oscillators.
EE304 Microprocessor I (3units)
Embedded Overview: microcontroller vs. microprocessor, applications in control and
automation, Microcontroller Architecture: AVR ATmega structure, memory map, and
special function registers (SFRs), Assembly Programming: instruction set, addressing
modes, control and data transfer instructions, I/O Operations: GPIO configuration,
input/output port access, bit manipulation, Timers and Counters: delay generation,
event counting, timer modes, Interrupt Handling: external/internal interrupts, vector
table, interrupt service routines (ISR), Practical Work: Low-level programming using
assembly and C; hands-on labs with AVR microcontrollers and simulators for digital
I/O, timers, and interrupt-driven applications.
Error Estimation: sources and types of numerical errors, error propagation, Root Finding: bisection, secant, Newton-Raphson methods for nonlinear equations, Linear Systems: matrix inversion, Gauss-Seidel, Jacobi methods, LU decomposition, Gauss elimination, Approximation Methods: Lagrange interpolation, Newton divided differences, least squares fitting (linear, nonlinear, multiple), Numerical Integration: rectangular, trapezoidal, Simpson’s rule, Rumberge’s equations, Gaussian quadrature, Differentiation & Differential Equations: Euler's methods, Runge-Kutta methods, solutions to ordinary and partial differential equations, Finite Element Basics: introduction to finite-element methods for engineering problems, Practical Work: Implementation of numerical algorithms using scientific programming environments (e.g., MATLAB or Python); includes root solvers, system solvers, curve fitting, and integration/differentiation routines.
EE302 Signals and Systems (2units)
Signal Types: continuous-time and discrete-time signals, energy and power,
transformation of independent variables, unit impulse and step functions, exponential
and sinusoidal signals, System Concepts: classification of systems, interconnection,
properties of linear time-invariant (LTI) systems, impulse response, convolution
(discrete and continuous), difference and differential equations, Fourier Analysis:
Fourier series for periodic signals, LTI system response to complex exponentials,
properties of continuous- and discrete-time Fourier series, Fourier Transforms:
continuous-time and discrete-time Fourier transforms and their properties, applications
to periodic and aperiodic signals, Z-Transform: definition, properties, inverse z
transform, use of tables, Practical Work: Signal analysis and system simulation using
MATLAB; experiments include convolution computation, frequency response
analysis, and implementation of Fourier and z-transforms.
EE301 Control System I (2units)
Introduction to control system; Scope of Control System, Historical Development of
Control system and its Importance. Various Control Systems, Difference between
Closed Loop and Open Loop Control Systems.System Transfer Function and
Responses; Combinations of components to physical systems, Block diagram Algebra,
Basic definitions, Advantages and Disadvantages of Block Diagram, Block Diagram
10
Reduction Rules Signal flow graphs; Mason’s Gain Formula for SFG, Formation of
SFG from Equations and Electrical Networks . Components Modeling; Differential
Equation and Transfer Function Notations, Modeling of Mechanical Components:
Mass, Spring and Damper, Modeling of Electrical Components: Inductance,
Capacitance, Resistance, DC and AC Motor . Error analysis: Static Error Coefficient,
Error Series and Evaluation of Dynamic Error Coefficients, Steady State Error and
Error Constants, Final Value Theorem . Transient response: first-order systems ,
Transient response: First-Order Systems, Second-Order Systems and Evaluation of
Transient Response Specifications, Response of Higher-Order Systems. Stability
Analysis; Introduction to Stability and causes of instability, Characteristic Equation,
Root Location and Stability, Setting Loop Gain using Routh-Hurwitz Criterion
Controllers Design using Root Locus Technique, Introduction to Root Locus, Rules for
Manual Calculations and Construction of Root Locus. Frequency Response
Techniques; Bode Plots: Magnitude and phase, Stability from Bode diagram (gain
margin and phase margin), Polar Plot and Nyquist Plot Criterion, Stability analysis from
Polar and Nyquist plot., Practical Work: MATLAB/Simulink simulations for system
modeling, transient behavior, and root locus design; optional lab sessions using motor
kits for experimental validation.