Teaching

"Good teaching is one-fourths preparation and three-fourths theatre." - Gail Godwin

I've had the privilege of being a teaching assistant for a few courses so far during my short stay at IIT Bombay.

  • MA 214 - Numerical Analysis (Spring 2021, Prof. S. Mazumdar, Prof. H. Hutridurga): If you're taking this course in the current semester, you might find some useful stuff here. As the course picks up, you should be able to find the following in this folder: weekly problem sets and their solutions, extra reading material and (possibly) some past papers.
  • ME 219 - Fluid Mechanics (Autumn 2020, Prof. A. Sridharan): As a TA for this online course, I handled the administrative elements and logistics of the class. I was also responsible for the conduct and grading of weekly quizzes as well as term exams. It was a very different experience compared to some of my earlier sojourns into teaching, but enjoyable nevertheless. If you are an undergraduate student taking this course, you may find some resources here.
  • ME 119 - Engineering Graphics and Drawing (Spring 2020, Prof. A. Agrawal): My role included reviewing problem sets to be provided to the students, solving and subsequently grading them - all on a weekly basis. You can find problem sets, solutions and marking guidelines here.
  • MA 108 - Ordinary Differential Equations (Summer 2019, Prof. G.K. Srinivasan): This position entailed mentoring and conducting tutorial sessions for a batch of 20 academically underperforming students over three weeks and grading weekly quizzes and an end-semester exam. Prof. Srinivasan had provided some excellent notes on the subject, replete with historical commentary. They can be found here.
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    Courses Taken

    While I do enjoy teaching, the reason I'm at IITB is because I'm a student. As a student, I've taken several interesting 'real-world' courses at IITB. Here is an exhaustive list, as of Spring 2020. May I also take this opportunity to redirect you to another website I'm maintaining, the DAMP blog for the Department of Mechanical Engineering, a one-stop for course reviews and other department-related experiences :). Go there after you've completed stalking me, the reason you were here in the first place.

    • Department of Mechanical Engineering
      1. Applied Thermodynamics
      2. Kinematics and Dynamics of Machines (Theory + Lab)
      3. Mathematical Methods in Engineering
      4. Industrial Engineering and Operations Research
      5. Microprocessors and Automatic Control
      6. Heat Transfer (Theory + Lab)
      7. Advanced Fluid Dynamics
      8. Engineering Data Mining
      9. Strength of Materials
      10. Mechanical Measurements (Theory + Lab)
      11. Manufacturing Processes (Theory + Lab)
      12. Solid Mechanics (Theory + Lab)
      13. Fluid Mechanics (Theory + Lab)
      14. Thermodynamics
      15. Structural Materials
      16. Engineering Graphics and Drawing
      17. Mechanical Workshop
    • Department of Computer Science
      1. Data Structures and Algorithms
      2. Logic and Automata Theory
      3. Machine Learning
      4. Computer Programming and Utilization
    • Department of Electrical Engineering
      1. Markov Chains and Queueing Systems
      2. Introduction to Electrical and Electronic Circuits
    • Department of Humanities and Social Sciences
      1. Environmental Science
      2. Reading Literature
      3. Introduction to Microeconomics
      4. Introduction to Macroeconomics
    • Department of Physics
      1. Astrophysics
      2. Electricity and Magnetism
      3. Quantum Physics and Applications
      4. Physics Lab
    • Center for Environmental Science and Engineering
      1. Environmental Studies: Science and Engineering
    • Department of Civil Engineering
      1. Engineering Law
      2. Engineering Mechanics
    • Department of Systems and Control Engineering
      1. Theory of Games and Information
      2. Convex Optimization
      3. Mathematical Structures for Control
    • Department of Mathematics
      1. Numerical Analysis
      2. Ordinary Differential Equations
      3. Linear Algebra
      4. Vector Calculus
    • Industrial Engineering and Operations Research
      1. Introduction to Stochastic Models
    • Center of Studies in Resource Engineering
      1. Machine Learning for Remote Sensing
    • Department of Biosciences and Bioengineering
      1. Molecular and Cellular Biology
      2. Physical Biology
      3. Biomedical Engineering
    • Department of Chemistry
      1. Chemistry Lab
      2. Introduction to Physical Chemistry
      3. Introduction to Organic Chemistry
      4. Introduction to Inorganic Chemistry

    Online Courses

    The Covid-19 Lockdown provided me a golden chance to expose myself to a variety of online resources, most of which have been instrumental for me to narrow down on a domain of interest. Here is a selection of the courses/specializations I've completed (almost all of them were done in the long, dreary Summer of 2020).

Phone

+(91) 78880 44850

Address

Room 7, Hostel 5, IIT Bombay
Mumbai, MH 400076
India