Fall 2026: Design and Analysis of Algorithms

From MKWiki
Jump to navigation Jump to search

Logistics

  • Class Timings: Mondays, Tuesdays, and Thursdays 9:30 am - 10:30 am
  • Classroom: (R-43')
  • Lab Timings: Fridays 8:30 am - 10:30 am
  • Labs: Computer Lab 4 (CL-3)

Course Overview

Lectures

Lecture Topic Lecture Slides Readings
Unit-1 Introduction to Data Mining: [unit1.pdf] Chapter 1
Unit 2 Data Pre-Processing: [unit2.pdf] Chapter 2
Unit 3 Cluster Analysis: [unit3.pdf] Chapter 5
Unit 4 Association Rule Mining: [unit4.pdf] Chapter 4
Unit 5 Classification: [unit5.pdf] Chapter 3 & 6

Assignments and Tests

Class Assignments

  • Assignment No. 1,
  • Assignment No. 2,

Tests and Quizzes

  • Test 1 :
  • Test 2 :

Labs

Instructions

  • Please be on time to avoid the Attendance Penalty.
  • Please put your mobile phone on Silent Mode.
  • Each lab assignment needs to be submitted in the Google Classroom for evaluation(will be notified in the GC lab-wise, submit before the deadline).
  • Turn off(shut down) your assigned computer and arrange the chair before you leave the lab.

Lab 0

Task No. Task Assessment Period. Submission Deadline
1 Implement Linear Search Algorithm -- --
2 Implement Binary Search Algorithm -- --

Lab 1: ( week of 17th August 2026 )

Task No. Task Assessment Period. Submission Deadline
1 Write a program to sort the elements of an array using Insertion Sort (The program should report the number of comparisons). 17/08/2026 - 24/08/2026 25/08/2026

Lab 2: ( week of 07th & 14th September 2026 )

Task No. Task Assessment Period. Submission Deadline
2 Apply data pre-processing techniques such as standardization/normalization, transformation, aggregation, discretization/binarization, sampling etc. on any dataset 07/09/2026 - 14/09/2026 22/09/2025

Lab 3: ( week of 21st & 28th September 2026 )

Task No. Task Assessment Period. Submission Deadline
5 Apply simple K-means algorithm for clustering any dataset. Compare the performance of clusters by varying the algorithm parameters. For a given set of parameters, plot a line graph depicting MSE obtained after each iteration. 21/09/2026 - 28/09/2026 29/09/2026

Resources

References:

  • Text Book: Tan P.N., Steinbach M, Karpatne A. and Kumar V. Introduction to Data Mining, Second edition, Sixth Impression, Pearson, 2023.

Additional References:

  1. Han J., Kamber M. and Pei J. Data Mining: Concepts and Techniques, 3rd edition, 2011, Morgan Kaufmann Publishers.
  2. Zaki M. J. and Meira J. Jr. Data Mining and Machine Learning: Fundamental Concepts and Algorithms, 2nd edition, Cambridge University Press, 2020.
  3. Aggarwal C. C. Data Mining: The Textbook, Springer, 2015
  4. Insight into Data mining: Theory and Practice, Soman K. P., Diwakar Shyam, Ajay V., PHI 2006
Retrieved from "http://www.mkbhandari.com/mkwiki/index.php?title=Fall_2026:_Design_and_Analysis_of_Algorithms&oldid=2701"