Courses taken
Relevant Courses
These includes relevant courses taken in my undergrad as well as courses
taken personally these includes materials from school sites,
Open courseware and MOOCs.
The rest I learn from books, papers and reading open source code for projects.
Robotics
- Introduction to Robotics ( MCE501 )
- Introduction to Mechatronics ( MCE501 )
- Under-Actuated RoboticsEECS 6.832, MIT - Russ Tedrake
- Modern Robotics: Mechanics, Planning, and Control Specialization I, II, III North Western - Lynch
Visual SLAM, SLAM and State Estimation
- Introduction to SLAM Uni Freiburg - Cyril Stachniss
- Photogrammetry I / II Cyril Stachniss
- Lectures on VISUAL SLAM Xiang Gao
- Introduction to Mobile Robotics Uni Freiburg - Prof. Dr. Wolfram Burgard
Machine Learning and Artificial Intelligence
- Introduction to Aritifial Intelligence CS188, MIT - Patrick Henry Winston
- Deep Learning for Computer VisionCS231n, Stanford - Fei-Fei Li
Reinforcement Learning
- Deep Reinforcement Learing CS234, Stanford - Emma Brunskill
- Introduction to Reinforcement LearningDeepMind.AI - David Silver
Control Systems
- Control Systems ( EIE412 )
Computing
- Computer & Computing I / II (MCE 321, MCE318)
- Applied Computer Programming I ( C++ )(GCE 215)
- Data Structures and Algorithms
3D Modelling
- Autodesk AutoCAD 2015 (CIT 213)
- SOLIDWORKS Associate (CSWA) (CIT 321)
- Modeling and Simulation in Mechanical Engineering - AutoDesk Inventor (MCE 414)
Embedded Systems
- AVR Microcontroller and Embedded Systems: Using Assembly and C Link
- Mastering STM32 Carmine Noviello
- Making Embedded Systems: Design Patterns for Great Software Elecia White