Welcome to AIL7001 - Mathematical Foundations of MINDS


Instructor

TAs

Sudipan Saha

Piyush Miglani, Poonam Rajput, Shubhojit Naskar, Harsh Kumar

Course Logistics

Lectures : Monday and Thursday 2:00-3:30 pm

Regular announcements are posted on Moodle.

Course Components and Grading Policy

  • Minor (15%)
  • Major (50%)
  • Quizzes (35%)

Audit Policy
  • B- (please note that this is a change from the previous years).

Couse Topics

  • Linear Algebra: Vector space, subspace, linear independence, basis, dimension, linear map, operator, inner product space, Gram Schmidt process, QR decomposition, Eigenvalues, adjoint operator, SVD
  • Optimization: Convex set, convex function, unconstrained optimization, constrained optimization, steepest descent, stochastic gradient descent
  • Probability: Introduction, Bayes theorem, some discrete and continuous distributions, moment generating function, concentration inequalities

Announcements

Please check Moodle.