University Courses
- Math
- MATH F111 : Mathematics I (Multivariable Calculus)
- MATH F112 : Mathematics II (Linear Algebra & Complex Analysis)
- MATH F113 : Probability & Statistics
- MATH F211 : Mathematics III (Differential Equations)
- MATH F212 : Optimization
- Physics
- PHY F111 : Mechanics, Oscillations and Waves
- PHY F211 : Classical Mechanics
- PHY F212 : Electromagnetic Theory - 1
- PHY F213 : Optics
- PHY F215 : Intro to Astronomy and Astrophysics
- PHY F241 : Electromagnetic Theory - 2
- PHY F242 : Quantum Mechanics I
- PHY F243 : Mathematical Methods in Physics
- BITS F316 : Nonlinear Dynamics and Chaos
- PHY F311 : Quantum Mechanics II
- PHY F312 : Statistical Mechanics
- PHY F313 : Computational Physics
- PHY F315 : Theory of Relativity
- PHY F341 : Solid State Physics
- PHY F342 : Atomic and Molecular Physics
- PHY F343 : Nuclear and Particle Physics
- PHY F344 : Advanced Physics Lab^
- PHY F415 : General Theory of Relativity and Cosmology (Audited)
- PHY F421 : Advanced Quantum Mechanics^
- Electrical and Electronics Engineering
- EEE F111 : Electrical Sciences
- EEE F211 : Electrical Machines
- EEE F214 : Electronic Devices
- EEE F215 : Digital Design
- EEE F241 : Microprocessors and Interfacing
- EEE F242 : Control Systems
- EEE F243 : Signals and Systems
- EEE F244 : Microelectronic Circuits
- EEE F311 : Communication Systems
- EEE F313 : Analog and Digital VLSI Design
- EEE F434 : Digital Signal Processing
- EEE F435 : Digital Image Processing
- EEE F312 : Power Systems^
- EEE F341 : Analog Electronics^
- EEE F342 : Power Electronics^
- Other Courses
- BIO F111 : General Biology
- BITS F111 : Thermodynamics
- BITS F112 : Technical Report Writing
- CS F111 : Computer Programming
- Humanities and Social Skills
- BITS F214: Science, Technology and Modernity
- BITS F225: Environmental Studies
- ECON F211 : Principles of Economics
- HSS F323 : Organizational Psychology
- HSS F343 : Professional Ethics
Massive Open Online Courses
- Deep Learning Specialization by deeplearning.ai, Coursera
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
- TensorFlow in Practice Specialization by deeplearning.ai, Coursera
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow*
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
- Applied Data Science with Python Specialization by University of Michigan, Coursera
- Introduction to Data Science in Python
- Applied Plotting, Charting & Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python*
- Applied Social Network Analysis in Python
- Introduction to Programming with MATLAB by Vanderbilt University, Coursera
- Introduction to Bioinformatics by UCSD, Coursera
- Financial Markets (with Honors) by Yale University, Coursera
- The Bits and Bytes of Computer Networking by Google, Coursera
- Signal Processing Onramp, MATLAB Academy
- Solving Nonlinear Equations with MATLAB, MATLAB Academy
Audited Courses
- MIT 6.S191 : Introduction to Deep Learning
- CS231n : Convolutional Neural Networks for Visual Recognition, Stanford Online
- CS224n : Natural Language Processing with Deep Learning, Stanford Online
- Introduction to Reinforcement Learning with David Silver, Google DeepMind x UCL
- CS 285 : Deep Reinforcement Learning, UC Berkeley
- Essential Radio Astronomy, National Radio Astronomy Observatory
- ECE4305 : Software Defined Radio Systems and Analysis, Worcester Polytechnic
- Data Driven Astronomy by The University of Sydney, Coursera
* Course completed without Certification ^ Ongoing course