2021

Fall

  • Programming Methodology (Undergraduate)

Spring

  • Adaptive Machine Learning and Explainable AI (Graduate)

2020

Fall

  • Introduction to Machine Learning (Undergraduate)
  • Learning Theory (Graduate)

2019

Fall

  • Convex Optimization (Graduate)

Spring

  • Neural Networks (Deep Learning) (Graduate)
  • Advanced Machine Learning (Undergraduate)
  • Introduction to Programming with Python (Undergraduate)

2018

Fall

  • Introduction to Machine Learning (Undergraduate)
  • Probability and Random Processes (Undergraduate)

Spring

  • Neural Networks (Deep Learning) (Graduate)
  • Advanced Machine Learning (Undergraduate)

2017

Fall

  • Circuit Theory (Undergraduate)
  • Probability and Random Processes (Undergraduate)

Spring

  • Neural Networks (Deep Learning) (Graduate)
  • Introduction to Machine Learning (Undergraduate)

2016

Fall

  • Algorithms (Graduate)

Spring

  • Data Structure and Algorithms (Undergraduate)
  • Introduction to Machine Learning (Undergraduate)

2015

Fall

  • Probability and Random Processes (Graduate)