Teaching

Below is a list of courses taught by MINDS faculty. For a detailed description and schedule go to BU Academics.

Undergraduate courses:

• EK307: Electric Circuit Theory
• EC330: Applied Algorithms for Engineers
• EC381: Probability Theory in Electrical and Computer Engineering
• EC401: Signals and Systems
• EC402: Control Systems
• EC414: Introduction to Machine Learning
• EC417: Electric Energy Systems: Adapting to Renewable Resources
• EC415: Software Radios
• EC418: Introduction to Reinforcement Learning
• EC441: Introduction to Computer Networking
• EC 444: Smart and Connected Systems

Introductory graduate courses:

• EC500: Medical Image Analysis using AI tools
• EC500: Foundations of Probabilistic Machine Learning 
• EC500: Control of Sustainable Power Systems
• EC501: Dynamic System Theory
• EC503: Learning from Data
• EC504: Advanced Data Structures
• EC505: Stochastic Processes, Detection and Estimation
• EC508: Wireless Communication
• EC516: Digital Signal Processing
• EC518: Robot Learning
• EC 519: Speech Processing by Humans and Machines
• EC520: Digital Image Processing and Communication.
• EC522: Computational Optical Imaging
• EC523: Deep Learning
• EC524: Optimization Theory and Methods
• EC525: Optimization for Machine Learning
• EC535: Introduction to Embedded Systems
• EC541: Computer Communication Networks
• EC544: Networking the Physical World

Advanced graduate courses:

• EC701: Optimal Control and Robust Control
• EC702: Recursive Estimation and Optimal Filtering
• EC710: Dynamic Programming and Reinforcement Learning
• EC716: Advanced Digital Signal Processing
• EC717: Image Reconstruction and Restoration
• EC719: Statistical Pattern Recognition
• EC720: Digital Video Processing
• EC724: Advanced Optimization Theory and Methods
• EC725: Queueing Systems
• EC732: Combinatorial Optimization and Graph Algorithms
• EC733: Discrete Event and Hybrid Systems
• EC734: Hybrid Systems

Mathematics and Statistics courses of interest to MINDS students (see detailed description and schedule on this BU Academics page):

• CAS MA711: Real Analysis
• CAS MA 717: Functional Analysis I
• CAS MA 741: Algebra I
• CAS MA 742: Algebra II
• CAS MA 779: Probability Theory I
• CAS MA 780: Probability Theory II
• CAS MA 782: Hypothesis Testing

Computer Science courses of interest to MINDS students (see detailed description and schedule on this BU Academics page):

• CAS CS530: Advanced Algorithms
• CAS CS 535: Complexity Theory
• CAS CS 537: Randomness in Computing
• CAS CS 538: Fundamentals of Cryptography
• CAS CS 541: Applied Machine Learning
• CAS CS 542: Principles of Machine Learning
• CAS CS 548: Advanced Cryptography
• CAS CS 565: Algorithmic Data Mining
• CAS CS 585: Image and Video Computing