Courses
You can find most of my course work, both during graduate and undergraduate here:
overview
Graduate
- Topics in Deep Learning (10-807)
- Visual Learning and Recognition (16-824)
- Convex Optimization (10-725)
- Intermediate Statistics (36-725)
- Probabilistic Graphical Models (10-708)
- Geometry-based methods in Vision (16-822)
- Computer Vision (16-720)
- Introduction to Machine Learning (10-701)
Undergraduate
Electrical Engineering
- Computer Vision
- Image Processing
- Speech Processing
- Advanced Topics in Signal Processing
- Digital Signal Processing
- Digital Communication
- Signals and Systems
- Microprocessors
- Power Electronics
- Network Theory
Computer Science
- Probabilistic Graphical Models and Structured Learning
- Introduction to Machine Learning
- Pattern Recognition
- Computer Graphics
- Data Structures and Algorithms
- Discrete Structures
- Databases and Information Systems
- Computer Programming and Utilization
- Graph Theory
- Advanced Computer Graphics
Mathematics
- Probability and Random Processes
- Matrix Computations
- First Course in Optimization
- Calculus
- Complex Analysis
- Linear Algebra
- Differential Equations
- Data Analysis and Interpretation