
Description
For my undergraduate studies, I had the privilege of attending The University of Wisconsin-Madison from September 2019 till May 2023. Here, I immersed myself in the world of Computer Engineering and Computer Science and engaged in a variety of courses that broadened my intellectual horizons. The university's supportive environment and top-notch resources nurtured my growth as a student. Such my undergraduate experience has been a transformative period of growth, both academically and personally. It has prepared me to embark on the next chapter of my journey with confidence and enthusiasm. I am grateful for the education, experiences, and connections that have shaped me into the person I am today.
Achievements
- Dean's Honor List for Outstanding Academic Performance in Fall 2019
- Dean's Honor List for Outstanding Academic Performance in Spring 2020
- Dean's Honor List for Outstanding Academic Performance in Fall 2021
- Dean's Honor List for Outstanding Academic Performance in Spring 2023
Courses
- CS-200, 300, 400: Programming
- MATH 221, 222 & 234: Calculus & Analytic Geometry
- CHEM 109: Advanced General Chemistry
- ECE 210: Introduction to Electrical Engineering
- ECE 252: Introduction to Computer Engineering
- PHYSICS 201 & 202: General Physics
- ECE 203: Signal, Information and Computation
- ECE 230: Circuit Analysis
- ECE 270: Circuit Laboratory
- ECE 352: Digital Systems Fundamental
- ECE 219: Analytical Methods for Electromagnetics
- MATH 240: Introduction to Discrete Mathematics
- ECE 204: Data Science & Engineering
- ECE 353: Introduction to Microprocessor Systems
- ECE 354: Machine Organization & Programming
- STAT 431: Introduction to Theory of Probability
- MATH 340: Elementary Matrices & Linear Algebra
- ECE 315: Microprocessor Laboratory
- CS 540: Introduction to Artificial Intelligence
- ECE 551: Digital Systems Design and Synthesis
- CS 577: Introduction to Algorithms
- CS 537: Introduction to Operating Systems
- ECE 340 & 342: Electronic Circuits
- ECE 532: Matrix Methods in Machine Learning
- ECE 552: Introduction to Computer Architecture
- ECE 539: Introduction to Artificial Neural Networks
- ECE 539: Probability & Information Theory in Machine Learning
- PHYSICS 322: Electromagnetic Fields
- ECE 454: Mobile Computing Laboratory