Sagnik Anupam

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Coursework

Here are a list of courses I have taken (at MIT, as well as online):

Spring 2021

• 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

Fall 2020

• 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

• 6.0001 Introduction to Computer Science Programming in Python [Taken Fall 2020]
• 18.01 Calculus I [AP Calculus BC credit]
• 18.02 Calculus II [Taken Fall 2020]
• 18.06 Linear Algebra [Taken IAP 2021]

MOOCs

• The Deep Learning Specialization by deeplearning.ai on Coursera. Courses include:
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Algorithmic Toolbox by UC Davis and National Research University Higher School of Economics on Coursera.
• 3.086x: The Iterative Innovation Process by MIT on edX.