CSL7630: Algorithms for Big Data

Offered for Executive DCS in Summer 2022

  • Credits L-T-P [C]: 3-0-0 [3]
  • Instructors: Myself (Suman Kundu) and Dr. Debasis Das
  • Where: Online Class in Google Meet (link available in Moodle)
  • LMS: https://classroom.sumankundu.info/moodle/
  • Slot: Weekend
    • Saturday 9:00 AM to 10:30 AM
    • Sunday 9:00 AM to 10:30 AM
  • Please white list the email
    • noreply[at]classroom[dot]sumankundu[dot]info

Learning Materials

  1. Scribing of Lectures Algorithms for Big Data By Prof. Jelani Nelson, Harvard University

  2. Algorithmic Techniques for Big Data Analysis By Prof. Barna Saha, University of Minnesota Twin Cities

  3. https://www.sketchingbigdata.org/

  4. Introduction to Property Testing by Oded Goldreich

Grading Policy

Modules 1, 2, and 3 will cover 70% and Modules 4 and 5 will carry 30%.

The distribution of the 70% will be as follows

  • Quiz: 20% (Online in Moodle)
  • Coding Assignments: 20%
  • Analytical Assignments: 20%
  • Major: 40%


  • There will be 3 Quizzes
  • One lowest will be removed from the grade
  • Dates and Syllabus will be announced

Coding Assignments:

  • There will be 2 to 3 programming assignments
  • Any Programming language can be used

Analytical Assignments:

  • There will be 2 analytical assignments

How to get A*?

Students are encourage to read papers and take projects as part of this study. Any such submission will be considered as a potential A* in case the student equally perform in other components.

Plagiarism tolerance is 7% from single source and 15% cumulative, anything more will reduce your marks as follows:

  • Any logical/conceptual/formulation plagiarism: zero marks
  • Other form of plagiarism (above 50%): zero marks
  • Otherwise: Percentage of plagiarism will be deducted from the obtained mark