Course Recommendations

Purdue Courses

I generally recommend i2Lab students (and prospective i2Lab students) to take the following courses:

• Imaging / Computer vision

  • ECE 637 Digital Image Processing I
  • ECE 641 Model-based Image Processing
  • ECE 661 Computer Vision

• Mathematics

  • ECE 600 Random Variables
  • ECE 602 Lumped Systems
  • ECE 647 Convex and Stochastic Optimization
  • MA 504 Real Analysis
  • MA 511 Linear Algebra

• Machine Learning

  • ECE 50024 Machine Learning
  • ECE 570 Artificial Intelligence
  • BME 695 Deep Learning
  • ECE 645 Estimation Theory

Online Courses

To do research at i2Lab, I recommend the following online courses.

• Columbia University: First principles of computer vision (YouTube)
• CalTech: Learning from data (Telecourse)

Reference Books

These are some of the books I find very useful for my research:

• Goodman, Introduction to Fourier Optics.
• Goodman, Statistical Optics.
• Wasserman, All of Statistics.