| Course | Name | Description |
| EEL3111 | Circuits I | Basic Analysis of DC and AC circuits. |
| EEL3135 | Discrete-Time Signals and Systems | Introduces signals and systems and the mathematical tools to design and analyze them; it lays the foundation for many, many other topics in electrical and computer engineering including circuits, control, communication and signal processing.. |
| EEL3701 | Digital Logic and Computer Systems | An overview of logic design, algorithms, computer organization and assembly language programming and computer engineering technology. |
| EEL4712 | Digital Design | Advanced modular logic design, design langauges, "finite" state machines and binary logic. |
| EEL4744 | Microprocessor Applications | Elements of microprocessor-based systems; hardware interfacing and software design for their application. |
| EEL4924 | Electrical Engineering Design 2 | Second semester of senior design. |
| EEL5666 | Intelligent Machine Design Lab | Design, simulation, fabrication, assembly, and testing of intelligent robotic machines. |
| EEL5745 | Microcomputer Hardware and Software | Functional behavior of microprocessors, memory, peripheral support integrated circuit hardware; microcomputer system and development software; applications. |
| EEL5840 | Elements of Machine Intelligence | Engineering and hardware concepts pertaining to design of intelligent systems. |
| EEL6562 | Image Processing and Computer Vision | Iage processing (image filtering, denoising), feature extraction (color, texture, wavelets), image segmentation and object recognition (face detection), video and motion analysis (optical flow, detection of moving objects), multi-view algorithms for 3D vision (stereo, structure from motion). |
| EEL6667 | Kinematics, Dynamics and Control of Robot Manipulators | Rigid body motion, coordinate frames, forward and inverse kinematics, jacobians, quaternions, dynamics and control, planning. |
| EEL6668 | Methods in Robot Perception | State-of-the-art techniques in sensor-based robot perception, feasibility of existing technologies with respect to new applications, approaching machine perception problems. |
| EEL6825 | Pattern Recognition | Bayesian decision theory, parametric estimation and supervised learning, unsupervised learning and clustering, linear discriminant functions, neural networks, nonparametric methods, applications. |
| EEL6841 | Machine Intelligence and Synthesis | Theory of machine intelligence applied to general problem of engineering intelligent computer systems and architecture. Applications emphasized. |
| EEL6935 | Machine Learing in Robotics | Neural networks, locally weighted learning, stochastic optimization, Bayesian learning, Expectation-Maximization algorithm, Markov chains and hidden Markov models, Markov Decision Processes (reinforcement learning). |
