Difference between revisions of "Spring 2023: Data Mining"

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===Tests and Quizzes===
 
===Tests and Quizzes===
* '''Test 1''' : 18/10/2022
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* '''Test 1''' :  
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===Projects===
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* '''Project 1''' :
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* '''Project 2''' :
  
 
== Resources ==
 
== Resources ==

Revision as of 22:52, 31 January 2023

Logistics

  • Class Timings: Wednesdays 1:00 pm - 3:00 pm (5th and 6th slot)and Thursdays 10:45 am - 12:45 pm (3rd and 4th slot)
  • Classroom: R33
  • Lab Timings: Mondays 8:45 am - 12:45 pm (1st - 4thslots)
  • Labs: CS Lab 5

Course Overview

Lectures

Lecture Topic Lecture Slides Readings
Unit1/Chapter1 Introduction: 1.1 - What Is Data Mining? 1.2 Challenges 1.3 Data Mining Origins 1.4 Data Mining Tasks Introduction.pdf Chapter 1 (R1)

Assignments and Tests

Class Assignments

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

Tests and Quizzes

  • Test 1 :


Projects

  • Project 1 :
  • Project 2 :

Resources

  • R1: Learning PHP, MySQL, JavaScript, CSS & HTML5, (Robin Nixon), 3rd Edition, O’Reilly Media.
  • R2: JavaScript and JQuery – Interactive Front-end Web Development, (Jon Duckett), John Wiley and Sons, Inc.
  • R3: Web Design with HTML and CSS Digital Classroom, (Jeremy Osborn, Jemmifer Smith and AGI Creative Team), Wiley Publishing, Inc.