As a part of my M.Sc. degree, I have taken 18 credits of theory courses (3 credits for each).

• BME 6011: Advanced Biophysics

• BME 6101: Translational Neural Engineering

Class Lecture noted by me is given below:

• • Brain and Nervous System

  • Action Potential Propagation and Recording

  • Targeted Muscle Reinnervation and RPNI

  • Biopotential and Physiological Signal Measurement

  • Operational Amplifier (OP AMP)

  • Electrode Design

  • Sound and Cochlear Implant

  • Deep Brain Stimulation

• BME 6201: Advanced Biomaterials

• BME 6203: Advanced Drug Delivery

• BME 6205: Artificial Organ and Regenerative Medicine

• CHEM 6106: Chemistry of Polymers

  • Presentation on Polymer Rheology, DMA, Time-Temperature Superposition

For my undergraduate degree, I had to complete 157.5 credits. The credit distribution is as follows:

Core BME Courses: 73.5 Credits

Other Engineering (CSE, EEE, ChemE, MSE): 40.5 Credits

Mathematics: 15 Credits

Basic Sciences (Physics & Chemistry): 18 Credits

Humanities: 10.5 Credits

You can find the detailed syllabus and course distribution here.

You can see the grades obtained in each of the courses on the transcript.

During the COVID-19 pandemic, when online learning platforms like the edx and coursera made different paid courses free for students of our university, I participated in few pertinent courses and learned a lot of new things.

For example- I learned to code in two new programming languages that were not in our undergraduate curriculum- one of them is R, which is widely used in Biostatistics and another one is python, which is used in almost all the aspects of engineering field. I also learned how to use the Wolfram Mathematica software, learned Microsoft Excel for using it in various practical uses.
A list of some such relevant courses is shown below-

• Courses related to Biomaterials, Nanotechnology, and others:

Digital Biomaterials offered by The University of Hong Kong

The Science of Stem Cells offered by American Museum of Natural History

Nanotechnology: A Maker’s Course offered by Duke University, North Carolina State University, and The University of North Carolina at Chapel Hill

Nanotechnology and Nanosensors, Part1 offered by Technion - Israel Institute of Technology

Dynamic Modeling Methods for System Biology offered by Icahn School of Medicine at Mount Sinai

Introduction to the Biology of Cancer offered by Johns Hopkins University

• Courses related to new programming languages:

R Programming offered by Johns Hopkins University

Statistical Analysis with R for Public Health offered by Imperial College, London

Python for Everybody offered by University of Michigan

Doing Clinical Research: Biostatistics with the Wolfram Language offered by University of Cape Town

• Others:

Excel Skill for Business offered by Macquire University

MRI Fundamentals offered by Korea Advanced Institute of Science and Technology (KAIST)

Medical Applications of Particle Accelerators (NPAP MOOC) offered by Lund University