Undergraduate Courses -Old

 

Course descriptions for the courses that are not offered in the new curriculum

 

Course Name Description Credit ECTS
 EE 142 Intro.Digital Systems 2 3
Number systems, Boolean algebra, logic networks and their simplification. Logic design with gates. Medium Scale Integration (MSI) and Large Scale Integration (LSI) technologies. Combinatorial and sequential circuits. Counter and shift registers.
EE 240 Digital Systems Design 3 4
Hardware description languages, digital logic synthesis, computer organization, arithmetic logic, memory and control units, mini and microcomputer systems. Field Programmable Gate Arrays (FPGA). Laboratory Work.
Prerequisite: EE 142
EE 242 Numerical Methods for EE 3 4
Data structures, structured programming. Numerical solution of multidimensional optimization problems, convergence properties, gradient and Newton methods. Solution of linear, nonlinear equations, and differential equations, numerical integration.
EE 313 Probability for EE 4 7
Fundamentals of probability. Random variables, probability distribution and density functions and some specific functions. Operations on one random variable: expectation, moments and transforms of random variables. Vector random variables, joint distribution and density functions. Statistical independence. Operations on multiple random variables. Random processes, stationarity, independence and ergodicity, correlation function. Spectral characteristics of random processes. Linear systems with random inputs.
EE 352 System Dynamics and Control 3 6
Analysis of linear control systems by differential equations and transfer function methods using Laplace transforms. Stability of closed loop systems. Routh-Hurwitz criterion, root-locus diagrams. System analysis in frequency domain. Bode, polar plots and Nichols charts. Nyquist stability criterion. Introduction to design and optimization of linear control systems, compensation techniques.
Prerequisite: Math202, EE201
EE 373

Signals and Systems

 4 6
Continuous-time and discrete-time signals and systems, basic system properties. Linear time-invariant systems, convolution. Fourier series representation of periodic signals, Fourier transform of continuous-time and discrete-time signals. Discrete Fourier Transform (DFT). Sampling and z-transform.
Prerequisite: Math 202, EE 201
EE 374 Communication Engineering 4 6
Building blocks of communication systems. Signal types, generalized functions. Hilbert transform and analytical signals. Linear and angular modulation methods, frequency division multiplexing. Sampling, quantization, Pulse-Code Modulation (PCM), Dİfferential Pulse-Code Modulation (DPCM), Delta Modulation (DM), Time Division Multiplexing (TDM), pulse transmission. Baseband data transmission: Nyquist pulse shaping; Bandpass data transmission and digital modulation techniques: Noise analysis of modulation systems.
Prerequisite: EE 373
EE 430 Solid State Electronics 3 6
Introduction to wave mechanics, statistical physics, crystal structure, band theory, relaxation phenomena and electronic conductivity. Application to semiconductors and semiconductor devices.
Prerequisite: EE 333