Difference between revisions of "Spring 2023: Data Mining"
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== Assignments and Tests== | == Assignments and Tests== | ||
===Class Assignments=== | ===Class Assignments=== | ||
| − | * '''''Assignment No. 1''''', | + | * '''''Assignment No. 1''''', |
| − | * ''''' | + | * '''''Assignment No. 2''''', |
===Tests and Quizzes=== | ===Tests and Quizzes=== | ||
Revision as of 22:51, 31 January 2023
Contents
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
- As per the Delhi University Course Guidelines
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 : 18/10/2022
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.
