Difference between revisions of "Fall 2025: Cyber Forensics"

Revision as of 21:12, 17 August 2025

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

Lecture	Topic	Lecture Slides	Readings
Unit-1	Digital Forensics:	1Intro.pdf	Chapter 1 (CB1)
Unit 2	Windows OS Forensics::	2DMT.pdf	Chapter 2 (CB1)
Unit 3	Evidence Recovery::	3AR.pdf	Chapter 6 (CB1)
Unit 4	Investigation::	4Classification.pdf	Chapter 4 (CB1)
Unit 5	Cyber Crimes and Cyber Laws::	Read from Authors' web page	Chapter 5 (CB1)

R1: Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber.
R2: Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003.
R3: Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006.
R4: Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006

@@ Line 52: / Line 52: @@
 == Resources ==
-===Course Books:===
+* '''R1''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>
-* '''CB1''': Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson Education. <br>
+* '''R2''': Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003. <br>
-===References:===
+* '''R3''': Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006. <br>
-* '''R2''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>
+* '''R4''': Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006
-* '''R3''': Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003. <br>
-* '''R4''': Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006. <br>
-* '''R5''': Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006