Communications, Networking, Signal and Image Processing (CNSIP)

About this Area

• CNSIP research area
• CNSIP faculty

Needed Prior Knowledge

It is recommended that incoming MSECE students interested in taking graduate-level coursework in this area have taken coursework similar to the following:

• ECE 20875, Python for Data Science
• ECE 30100, Signals and Systems
• ECE 30200, Probabilistic Methods in ECE
• ECE 43800, Introduction to Signal and Image Processing
• ECE 44000, Transmission of Information
• MA 26500, Linear Algebra

Proficiency in Python is also essential. 

Course Lists

Foundational courses:

• ECE 60000, Random Variables and Signals (core; 3 cr)
• MA 51100, Linear Algebra or ECE 69500, Math for Engineering Professionals I (3 cr)
• MA 50400, Real Analysis (3 cr)
• ECE 58000, Optimization Methods for Systems & Control (3 cr)
  • Prerequisite: ECE 69500, Math for Engineering Professionals I
• ECE 60200, Lumped System Theory (core, 3 cr)
  • Prerequisite: ECE 69500, Math for Engineering Professionals I
• ECE 60800, Computational Models and Methods (core, 3 cr)

Sub-area: Signal and image processing, recommended courses:

• ECE 53800, Digital Signal Processing I (3 cr)
• ECE 63700, Digital Image Processing I (3 cr)
• ECE 64100, Digital Imagine Processing II: Model-Based Image and Signal Processing (3 cr)
• ECE 51300, Fourier Optics (3 cr)
• ECE 63400, Digital Video Systems (3 cr)
  • Prerequisite: ECE 60000
• ECE 59500, Optical Imaging System Design (3 cr)
• ECE 63800, Principles of Digital Color Imaging Systems (3 cr)

Sub-area: Communications and Networking, recommended courses:

• ECE 54440, Digital Communications (3 cr)
• ECE 54700, Introduction to Computer Communication Networks (3 cr)
• ECE 64500, Estimation Theory (3 cr)
• ECE 60022, Wireless Communication Networks (3 cr)
  • Prerequisite: ECE 54700
• ECE 63900, Error Control Coding (3 cr)
• ECE 64200, Information Theory and Source Coding (3 cr)
• ECE 64700, Performance Modeling of Computer Communication Networks (3 cr)
• ECE 67800, Radar Engineering (3 cr)
• ECE 67900, Advanced Digital Communications (3 cr)
• ECE 69500, Stochastic Processes in Information Systems (3 cr)
  • Prerequisite: ECE 60000

Sub-area: Machine learning, recommended courses:

• ECE 50024, Machine Learning (3 cr)
• ECE 61046, Deep Learning (3 cr)
• ECE 69500, Optimization for Deep Learning (3 cr)
• ECE 69500, Probabilistic Causal Inference (3 cr)
• ECE 60131, Inference and Learning in Generative Models (3 cr)
• ECE 66200, Pattern Recognition and Decision-Making Processes (3 cr)