Difference between revisions of "Fall 2023: Open Source Software (BA Prog)"

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== Resources ==
 
== Resources ==
 
===Course Books:===
 
===Course Books:===
* '''CB1''': Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson Education. <br>
+
* '''R1''': FUNDAMENTALS OF OPEN SOURCE SOFTWARE By M. N. RAO PHI Publication <br>
 +
* '''R2''': Your Unix-The Ultimate Guide, Sumitabha Das, TMH, 2000 <br>
 +
* '''R3''': Understanding Open Source and Free Software Licensing By Andrew M. St. Laurent <br>
 +
* '''R4''': A Beginner's Guide to Gambas by John W. Rittinghouse <br>
 +
* '''R5''': The Book of Gimp, Lecarme, O. and Delvare, K., No Starch press, 2013.
 +
 
 
===References:===
 
===References:===
 
* '''R2''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>
 
* '''R2''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>

Revision as of 19:56, 27 August 2023

Logistics

  • Class Timings: Mondays and Tuesdays 8:30 am - 9:30 am (1st slot)
  • Classroom: R45
  • Lab Timings: Fridays 8:30 am - 12:30 pm (1st - 4thslots)
  • Labs: CL-3

Course Overview

Lectures

Lecture Topic Lecture Slides Readings
Unit 1 Introduction to Open Source Softwares Chapter xx
Unit 2 Linux Operating System Chapter xx
Unit 3 Understanding Open Source and Free Software Licensing Chapter xx
Unit 4 Study of commercial application software vs OSS Chapter xx
Unit 5 Introduction to Gambus Chapter xx
Unit 6 Introduction to GIMP Chapter xx

Assignments and Tests

Class Assignments

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

Tests and Quizzes

  • Test 1 :
  • Test 2 :

Resources

Course Books:

  • R1: FUNDAMENTALS OF OPEN SOURCE SOFTWARE By M. N. RAO PHI Publication
  • R2: Your Unix-The Ultimate Guide, Sumitabha Das, TMH, 2000
  • R3: Understanding Open Source and Free Software Licensing By Andrew M. St. Laurent
  • R4: A Beginner's Guide to Gambas by John W. Rittinghouse
  • R5: The Book of Gimp, Lecarme, O. and Delvare, K., No Starch press, 2013.

References:

  • R2: Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber.
  • R3: Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003.
  • R4: Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006.
  • R5: Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006