Tuesday, 19 January 2016

CS 215 (Data Analysis and Interpretation)

Instructor : Ganesh Ramakrishnan
Course Description : This course deals with various topics including
  • Summary statistics
  • Relationship between variables
  • Regression
  • Basics of probability
  • Basics of probability and Probability distributions
  • Sampling statistics
  • Confidence intervals and parameter distribution
  • Hypothesis testing
Reference Book - Introduction to probability and statistics by Sheldon Ross

Logistics :
  • Three hours of lecture and one tutorial per week
  • Grading - 2 quizzes, midsem, endsem, 2 assignments and project (using scilab), class participation
  • Difficulty - 2/5
  • Closed Notes/books exams

Comments on Instructor : The instructor likes the class to be interactive and there are marks for class participation as well. Good study material and references will be made available by the instructor. The instructor is very punctual but the lectures will run at slightly sluggish pace.

Who will find it interesting : Students who are interested in Machine Learning, NLP, Data mining will find contents of this course useful and relevant.

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