Course Description
The master of science MS. in computer engineering program prepares students to become leaders in university and industry settings. Our college offers students a truly interdisciplinary program with strong ties to both electrical engineering and computer science programs, mirroring the interdisciplinarity that computer engineers find in industry and research.
Courses and research in computer engineering include computer systems, computer architecture, mobile systems, parallel systems, parallel processing, parallel algorithms, hardware software interaction, very large-scale integration (VLSI) design, embedded systems, numerical analysis, systems simulation, robotics, and large-scale systems.
Degree Programme
CE 6304 Computer Architecture
CE 6302 Embedded Systems
CE 6320 Applied Data Structures and Algorithms
CS 6375 Machine Learning
CS 6347 Statistical Methods in AI and Machine Learning
EESC 6364 Machine Learning and Pattern Recognition
CE 6368 Multimodal Deep Learning
CE 6309 Applications of Machine Learning in Semiconductor IC Manufacturing and Test
CE 6370 Design and Analysis of Reconfigurable Systems
EESC 6367 Applied Digital Signal Processing
CE 6325 VLSI Design
CE 6303 Testing and Testable Design
CE 6375 Design Automation of VLSI Systems
COMP_ENG 495 PhD Life Skills Building
COMP_ENG 303 Advanced Digital Design
COMP_ENG 355 ASIC and FPGA Design
COMP_ENG 357 Design Automation in VLSI
COMP_ENG 393/493 Advanced Low-Power VLSI and Mixed-signal IC Design
COMP_ENG 459 VLSI Algorithmics
COMP_ENG 346 Microprocessor System Design
COMP_ENG 347-1 Microprocessor Systems Project I
COMP_ENG 347-2 Microprocessor Systems Project II
COMP_ENG 364/464 Cyber-Physical Systems Design and Application
ELEC_ENG 390 Introduction to Robotics
IEMS 450-1 Mathematical Optimization I
IEMS 450-2 Mathematical Optimization II
IEMS 457 Integer Programming
COMP_SCI 409 Swarms and Multi-Robot Systems
BME 353-0-01 Bioelectronics
Course Info
- Category Master