EE-631 Advanced Digital Communications I

Introduction to optimum receiver design in the additive white Gaussian noise environment. Topics include efficient signal set design, modulation techniques, matched filter, correlation detector, coherent and non-coherent detections, fading and diversity channels, random amplitude and phase, diversity techniques, performance bounds of communications, and waveform communications.

EE632 Adaptive Signal Processing

Selected topics from: algorithm construction (for both finite impulse response and infinite impulse response filters) such as LMS, EWLS, Kalman filter based algorithms and their derivatives; algorithm stability (including tracking analysis) and algorithm performance (including misadjustment). Applications such as equalization and channel estimation, signal carrier and timing synchronization.

EE636 Advanced Mobile Communications

Introduction to cellular concepts, Signal to interference ratio calculation for omni-direction interferes, Capacity enhancement techniques for cellular systems, Large-scale path loss and shadowing, Small-scale fading and multipath, Equlization, Diversity, Mobile communication standards 2G to 4G, 5G heterogeneous cellular networks.

EE652 System Identification

Introduction to dynamic systems, models, and identification process, Models of linear time invariant systems, Models of time-varying and nonlinear systems, Parametric estimation methods, Convergence and consistency of solutions, Asymptotic distribution, Recursive and non-recursive computation methods, Model selection and validation.

EE653 Advance Power Electronics

In this course the application of electronics to energy conversion and control are presented. Topics covered include: state space modeling, analysis, and control techniques; design of power circuits including inverters, rectifiers, and DC-DC converters (non-isolated, isolated and Resonant); analysis and design of magnetic components and filters; and characteristics of power semiconductor devices; gate driver and snubber circuits. The feedback control of switch-mode power supplies is presented along with power conditioners and uninterruptible power supplies.

EE733 Adaptive Digital Signal Processing II

Recursive least squares filter, Kalman filters, Extended Kalman filters, Variants of Kalman filters, Square-root kalman filters, QR-RLS and IQR-RLS algorithm, Gradient adaptive lattice algorithm, Any special research topics.

EE734 Advanced Digital Communication II

The aim of this module is to introduce students to more advanced topics in digital communication systems and to provide students with up-to-date knowledge of the techniques used in digital communication systems including more advanced topics in digital wireless communication systems. This module covers channel modeling, coding, digital transmission through wireless channels, advanced error control techniques, spread spectrum, multi-carrier digital transmission (OFDM and MIMO), and their applications in wireless and cellular mobile communication systems.

EE755 Optimal Control

Static Optimization, Optimal Control of Discrete-Time and Continuous-Time Systems, The Tracking Problem and other LQR extensions, Final-Time Free and Constrained Input Control and Dynamic Programming.

EE773 Computer Vision

Image formation, image processing, feature detection and matching, segmentation, feature-based alignment, structure from motion, dense motion estimation, image stitching, computational photography, multiple view geometry, recognition and learning, and video processing.

EE774 Satellite Imaging

Remote sensing, multi and hyperspectral imaging. Different research areas in hyperspectral imaging. Astronomy, imaging in Astronomy, image processing techniques. Spatial and spectral techniques in image processing. Machine learning techniques in image processing.

EE776 Machine Learning

Regression: least squares, ridge regression & LASSO. Classification: linear discriminant analysis, Naive Bayes & logistic regression, support vector machines, support vector regression, classification & regression trees, boosting. Model selection. Machine learning models: cross-validation, boot-strapping, performance evaluation metrics. Clustering: K-means, Fuzzy C-means. EM algorithm for Gaussian mixture models. Large scale machine learning.

EE778 Graphical Models

Conditional independence, undirected graphs, log-linear models, maximum likelihood principle, decomposability, directed acyclic graphs, Bayesian networks, Gaussian graphical models, decomposable & directed Gaussian graphical models, Graphical models & (causal) network inference, Bayesian graphical models.

EE831 Advanced Wireless Technologies

Overview of mobile communications, characterization and modeling of wireless fading dispersive channels, optimum receiver structure, transmission performance in fading channels, diversity and performance improvement, co-channel interference, spread spectrum and multiple access, capacity analysis in cellular environments.

EE834 Statistical Signal Processing

Sufficiency & MVUB estimators, maximum likelihood estimation, Bayesian estimation, MMSE estimators, Least squares, Neyman-Pearson detectors, binary communication, composite binary hypothesis, matched filters & signal design.

EE851 Nonlinear Systems & Control

Introduction to nonlinear dynamics and control. Overview of phase plane analysis, describing function and limit cycles. Lyapunov stability. Input/output stability. Input/output linearization. Stabilization and control of nonlinear systems.