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Sagnik Anupam

CS + Math @ MIT

Coursework

Here are a list of courses I have taken at MIT and online:

Spring 2023

6.S986
Large Language Models and Beyond (G)

18.650
Introduction to Statistics

18.100P
Real Analysis

15.3901
New Enterprises

6.UAR
Seminar in Undergraduate Research

6.910A
Design Thinking and Innovation Leadership for Engineers

CMS.S63
DJ History, Technology, and Technique

IAP 2023

21L.590
The Spanish Incubator

Fall 2022

6.5210 [6.854]
Advanced Algorithms (G)

6.5400 [6.840/18.404]
Theory of Computation (G)

6.S981
Introduction to Program Synthesis (G)

6.9320
Ethics for Engineers

6.UAR
Seminar in Undergraduate Research

Spring 2022

6.1910 [6.004]
Computation Structures

6.9010 [6.08]
Embedded Systems

21L.451
Literary Theory

21W.771
Advanced Poetry Workshop

6.EPE
UPOP Engineering Practice Experience

IAP 2022

6.9630 [6.176]
Pokerbots Competition

CMS.S61
DJ Culture and Performance

6.UR
Undergraduate Research in EECS

Fall 2021

6.3900 [6.036]
Introduction to Machine Learning

6.1010 [6.009]
Fundamentals of Programming

24.900
Introduction to Linguistics

21W.771
Advanced Poetry Workshop

21W.755
Reading and Writing Short Stories

6.EPW
UPOP Engineering Practice Workshp

Spring 2021

6.1220 [6.046]
Design and Analysis of Algorithms

8.02
Physics II

7.016
Introductory Biology

21L.011
Introduction to Film Studies

21W.762
Poetry Workshop

IAP 2021

15.393
Nuts and Bolts of New Ventures

Fall 2020

6.1210 [6.006]
Introduction to Algorithms

18.600
Probability and Random Variables

14.01
Principles of Microeconomics

8.012
Physics I

14.009
Economics and Society's Toughest Problems

15.000
Explorations in Management

21H.000
The History of Now

24.UR
Undergraduate Research in Linguistics

Advanced Standing Examinations (ASE)/Prior Credit

6.100A [6.0001]
Introduction to Computer Science Programming in Python (Fall 2020 ASE)

18.01
Calculus I (AP Calculus BC)

18.02
Calculus II (Fall 2020 ASE)

18.06
Linear Algebra (IAP 2021 ASE)

MOOCs

Coursera: Deep Learning Specialization by deeplearning.ai

deeplearning.ai [certificate]
Neural Networks and Deep Learning

deeplearning.ai [certificate]
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

deeplearning.ai [certificate]
Structuring Machine Learning Projects

deeplearning.ai [certificate]
Convolutional Neural Networks

deeplearning.ai [certificate]
Sequence Models

Coursera: Non-specialization

edX

MIT [certificate]
3.086x: The Iterative Innovation Process

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