Courses
The following are examples of courses taught by LINCD faculty. For the most up-to-date information on courses that will be offered in upcoming semesters, please access the department's course planning spreadsheet.
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ECEN 3300 Linear Systems
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ECEN 3810 Introduction to Probability
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ECEN 4242 Communication Theory
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ECEN 4632/5632 Introduction to Digital Filters
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ECEN 4752/5752 Communications Lab
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ECEN 4322/5322 Data and Network Science
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ECEN 4002/5002 Deep Learning
- Fall (A bold font implies the course will be offered every year. Otherwise, it is offered every other year)
- ECEN 5612 Noise and Random Processes
- ECEN 4002/5002 Deep Learning
- ECEN 5622 Information Theory and Coding
- ECEN 4632/5632 Introduction to Digital Filtering
- ECEN 4632/5632 Introduction to Digital Filtering
- ECEN 5002 Special Topic: Deep Learning and Its Connections to Information Theory
- Spring
- ECEN 5712 Machine Learning for Engineers
- ECEN 5012 Modern Signal Processing
- ECEN 5692 Principles of Digital Communication
- ECEN 5022 Special Topic: Artificial Intelligence: Foundations and Overview
- ECEN 4322/5322 Data and Network Science
- ECEN 4752/5752 Communication Laboratory
- ECEN 5682 Theory and Practice of Error Control Codes
- Tentative teaching schedule
- Introduction to the area
- MS students are required to take at least four graduate courses on this page.
- Courses related to Embedded Systems is a great supplement.
- Optimization, Linear Programming, Matrix Analysis, Courses from Applied Math and Computer Science Departments
- Real Analysis and Probability Theory from Math or Applied Math Department
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CSCI 5254 Convex Optimization and Its Applications
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or APPM 5630 Advanced Convex Optimization
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CSCI7000-013 Learning and Sequential Decision Making
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ECEN 5008 Online Convex Optimization
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APPM 5560 Markov Processes, Queues, and Monte Carlo Simulations, APPM 6550 Introduction to Stochastic Processes
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Discrete Mathematics and Number Theory
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Matrix Analysis
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APPM 5520 Introduction to Mathematical Statistics I
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CSCI 5922 Neural Networks and Deep Learning
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Math 6310 Real Analysis I, Math 6320 Real Analysis II
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Or APPM 5440 Applied Analysis 1, APPM 5450 Applied Analysis 2
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