DS412 | Matrix Computations for Data Science

Instructor: Parimala Kancharla: (office: A17.03.06, email: parimala@iitmandi.ac.in)

Office Hours: (or by appointment)

Credit Structure: 3-0-2-4

Class Venue: A17-1B

Class Timings: E-slot

Piazza Course code - ds412, Link to join

Syllabus - Textbooks

TAs

Evaluation

Tutorials/Quizzes - 15%

Midsem - 25%

Endsem - 40%

Lab

Assignments - 20%

Resources

S.N	Topic	Notes	External References
1.	Introduction	Notes	-
2.	Fields	Notes	Heffman, Linear Algebra - Chapter 1 Dongryul Kim, Linear Algebra - Chapter 2
3.	Vector space	Notes	Friedberg and Spence, Linear Algebra - Chapter 1
4.	Fundamentals of Linear Algebra	Notes	Friedberg and Spence, Linear Algebra - Chapter 1
5.	Fundamental Subspaces	Notes Notes	Gilbert_Strang_Linear_Algebra_and_Its_Application- Chapter 2(section 2.4)
6.	Rank of a Matrix: Properties	Notes	Gilbert_Strang_Introduction_to_Linear_Algebra_5th_edition- Chapter 3(section 3.5)
7.	Inner Product	Notes Notes	Friedberg and Spence, Linear Algebra - Chapter 6
8.	Gram-Schmidt algorithm	Notes	Friedberg and Spence, Linear Algebra - Chapter 1
9.	Cholesky Decomposition	Notes	David S.Watkins, Fundamentals of Matrix Computations - Chapter 1

Assignments&Tutorials

S.N	Material	Due Date
1.	Assignment-0	17/08/2026
2.	Assignment-1	06/09/2026

Doubts / Clarifications

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