CS G526 Advanced Algorithms and Complexity
Aug–Dec 2026

Table of Contents

When and Where

Lectures

  • Time: Mon Wed Fri 9:00 AM – 9:50 AM
  • Place: D103

Exams

  • Midsem Exam: 07 October Wednesday, 9:30 AM – 11:00 AM
  • Comprehensive Exam: 04 December Friday, 10:00 AM – 1:00 PM

Google Calendar

Click here to add the course calendar or scan the QR code below.

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People

  • Students
    • M.E. (CSE) 1st year, 1st semester
    • Ph.D. students
  • Staff
    • Aniket Basu Roy (Instructor-in-Charge)
    • K Tharian Thomas (Teaching assistant)

Zulip Chat

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Course Webpage

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References

  1. [KT] Kleinberg, J., & Tardos, E. (2006). Algorithm Design. Pearson/Addison-Wesley.
  2. [DPV] Dasgupta, S., Papadimitriou, C. H., & Vazirani, U. V. (2006). Algorithms. McGraw-Hill.
  3. [Vaz] Vazirani, V. V. (2001). Approximation Algorithms. Springer.
  4. [MR] Motwani, R., & Raghavan, P. (1995). Randomized Algorithms. Cambridge University Press.

A Tentative List of Topics

Preliminaries

  • Motivation and Warmup
  • Growth of Functions. Asymptotic Notations
  • Review of Graph Theory Basics

Algorithmic Paradigms

  • Greedy Algorithms
  • Divide and Conquer
  • Dynamic Programming
  • Linear Programming

Computational Complexity

  • Complexity Classes P, NP, PSPACE
  • Reductions

Advanced Topics

  • Approximation Algorithms
  • Randomized Algorithms
  • Local Search
  • Hardness of Approximation

Evaluation and Grading Policy

Comprehensive Exam 40%
Midsem Exam 25%
Others 35%

Continuous Evaluation Components

  • Problem Sets (4x)
  • Paper Reading, Report Writing, Presenting
  • Scribing

Office Hours

  • When: Fridays, 11:00 AM – 12:00 noon
  • Where: D256

Handout

  • pdf (As submitted to the Instruction Office. Last updated on 14/08)

Lecture Schedule

Lecture 0 (03/08)

Lecture 1 (05/08)

Lecture 2 (07/08)

  • Asymptotic Notations, Review of Graph Theory Basics
  • Scribe: Amoghavarsha, Sakshi pdf

Lecture 3 (10/08)

  • Job Scheduling, KT 4.1

Lecture 4 (12/08)

  • Minimum Spanning Trees, Prim-Jarník algorithm, Cut Property, KT 4.5
  • [Non-eval HW] Prove the time complexity of the implementation using min-heaps.

Lecture 5 (14/08)

  • Single Source Shortest Path problem, Dijkstra's algorithm, KT 4.4
  • [Non-eval HW] Prove the time complexity of the implementation using min-heaps.

Lecture 6 (17/08)

  • Huffman Codes, Time Complexity, KT 4.8

Lecture 7 (19/08)

  • Huffman Codes, Proof of Correctness, KT 4.8

Lecture 8 (21/08)

  • Finding the Closest Pair of Points in the Plane, KT 5.4

Lecture 9 (24/08)

  • Maximum Independent Set of Rectangles - A Divide-and-Conquer Algorithm
  • Reference: Agarwal, P. K., Van Kreveld, M., & Suri, S. (1998). Label placement by maximum independent set in rectangles. Computational Geometry, 11(3-4), 209-218. Section 3 of the paper. https://doi.org/10.1016/S0925-7721(98)00028-5

Lecture 10 (31/08)

  • Weighted Job (Interval) Scheduling, KT 6.1

Lecture 11 (02/09)

Lecture 12 (07/09)

  • Sequence Alignment, KT 6.6
  • [non-eval] Read how this problem is related to the Shortest Path problem in the graph defined at the end of KT 6.6.

Lecture 13 (09/09)

  • Sequence Alignment, KT 6.6, 6.7

Lecture 14 (11/09)

  • Sequence Alignment, KT 6.7

Lecture 15 (16/09)

  • Single Source Shortest Paths in Graphs, KT 6.8, 6.10

Lecture 16 (18/09)

  • Network Flows, KT 7.1

Created: 2026-09-18 Fri 11:19

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