This course covers methods of network modelling by graph theory and algorithmic approach, representation of three phase network elements, Kron reduction technique, Schemes of ordering, short circuit studies using Z bus, load flow equations, Gauss-Seidel and Newton-Raphson methods, fast decoupled methods, AC-DC load flow problems, transient stability solution using modified Euler’s method, sparsity techniques and state estimate of an AC network.

This course deals with the Operating characteristics of power semiconductor devices such as Power Diode, Bipolar Junction Transistors, IGBTs, MOSFETs ,Thyristors, DIAC, TRIAC, GTO etc. SCR rating and Commutation and also fundamentals of power converter circuits as phase controlled rectifiers and AC Regulators.It also deals with the Practical issues in the design and operation of converters and fundamentals of power converter circuits as choppers.

This course describes different signal classes and identify the relevant spectral representation and also explain and apply properties of discrete time signal processing systems and Fourier series properties to compute the spectrum of a signal and the difference among various transforms like Fourier, Laplace, Z, Discrete Fourie, discrete time signal processing system and calculate associated transfer functions and also help to understand the concept of sampling and reconstruction processes and determine the relevant parameters in specific applications, also to deduce and determine how the discrete and fast Fourier transform can be applied for computation of signal spectra and in filtering operations

This course introduces the fundamental concepts of Control systems and mathematical modelling of the system and also time response and frequency response of the system. It also gives the knowledge of the basics of stability analysis of the system, of state variable analysis, conventional PID controller and some control components like synchros, dc-ac techogenerator, servomotor, magnetic amplifier, stepper motor

This course gives an idea about the Model decision making problems using major modelling formalisms of operations research, including propositional logic, constraints, linear programs and also able to evaluate the computational performance of search, satisfaction, optimization and learning algorithms.