EE312 Prin. of power sys (3units) 

 Energy Sources: electrical energy fundamentals, energy generation processes, units and classifications, Generating Stations: steam, hydroelectric, diesel, and nuclear power plant architectures and operation, Electric Supply Systems: high-voltage AC/DC systems, transmission infrastructure (underground and overhead), transmission voltage levels, Power Transmission: technical and economic aspects of power delivery, Transmission Line Analysis: classification into short, medium, and long lines, voltage drop and power loss modeling, Distribution Networks: types of distribution systems, network configurations, and design principles, Power Factor & Grounding: methods for power factor improvement, grounding techniques for safety and stability, Practical Work: Simulation of transmission and distribution systems using software tools (e.g., ETAP, PSCAD); case studies on real-world grid design and station layout planning.

"Introduction to AI: fundamental concepts, history, intelligent agents, rationality, Search Techniques: uninformed and informed search strategies, problem-solving methods, Knowledge Representation: propositional and predicate logic, inference engines, planning systems, Machine Learning Basics: supervised and unsupervised learning, neural network structures and training principles, Applications of AI: robotics, communication networks, energy automation, and intelligent systems, Practical Work: Development of AI applications using Python and libraries such as scikit-learn; implementation of logic-based systems and basic neural networks; exploration of real world AI use cases in automation and decision support.

EE314 Microprocessor II (3units) 

 AVR Development: C vs. Assembly differences, AVR-GCC, Atmel Studio configuration, GPIO Programming: LED control, push button interfacing, pin toggling, Timers and Interrupts: delay generation, event scheduling, ISR writing, nested interrupt handling, Serial Communication: UART communication, I2C and SPI interfacing with EEPROM, RTC, and sensors, Sensor Integration: analog sensor reading via ADC (temperature, light, motion), PWM Applications: servo motor control, LED dimming, real-time control elements, IoT and Power Efficiency: wireless integration, sleep modes, low-power system design, System Design Project: team-based planning and implementation of complete embedded systems, Practical Work: Full-cycle development including programming, debugging, testing, and documentation; integration with IoT components and real-world applications.

EE313 Dig. Signal processing (2units)

 Signal Analysis: review of signal types, convolution (linear and periodic), correlation, Fourier series, energy and power spectra, z-transform fundamentals, LTI Systems: definitions, impulse and frequency responses, differential/difference equations, system characterization, Sampling & Reconstruction: analog-to-digital (ADC), digital-to analog (DAC), continuous/discrete domain conversion, multirate systems (down/up sampling), Frequency Domain: Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), spectral analysis using DFT/FFT, System Structures: matrix representation of discrete-time systems, transposed, direct, cascade, parallel, and lattice forms, Digital Filters: FIR and IIR filter design, windowing techniques, finite precision effects, computer-aided design tools, performance comparison, Practical Work: MATLAB or Python-based simulations for signal analysis and filter design; real-time DSP tasks using development kits (e.g., TI DSP or audio filter boards) .

EE311 Control SystemII (2units) 

 Compensator Design: gain adjustment, lead, lag, and lead-lag compensator design and implementation, Nonlinear Systems: modeling of nonlinear components, analysis using describing functions, Phase Plane Analysis: graphical methods for analyzing second order nonlinear systems, stability and limit cycles, Industrial Controller: Two-position (ON-OFF), design of PID controllers using Root Locus method, design of PID controller using Ziegler-Nichols method, State-Space Analysis, Practical Work: Advanced simulations using MATLAB/Simulink for compensator tuning; hands-on design exercises using control system toolboxes or embedded control platforms.