Introduction - First Course Handout

Recall RStudio

Link 1

Link 2

Content

Books

1. Matrices and Systems of Linear Equations

2. Matrix Arithmetic

3. Determinants

4. Vector Spaces

5. Inner Product Space

6. Eigen Decomposition

7. Applications of Linear Algebra - Linear Regression, Linear Programming, Network Analysis

1. Basics
2. Probability Distributions
3. Sampling Distributions
4. Inference
5. Linear Models
6. Classification and Clustering

Other points

Location: Computer Lab in Room 204H (Diamond Jubilee building)

The main resource page for this course is “Resources” in HelloIITK

Lecture Slot: T 17:00 - 18:00

Lab Slot: W Th 14:00 - 15:00

General Plan:

1. Use RStudio.

2. Follow the two textbooks religiously.

3. We will discuss only concepts in the lecture slot.

4. Run the demos in the lab sessions.

   You need to execute the R codes in each session.

   Solve the problem(s) posed in each session.

Evaluation Components:

One coding quiz will also be conducted at the end of each month [40/50]

NO MidSem.

EndSem will either be conducted on HelloIITK, or a short written examination [20]

Group project [40/30]

Grading will be relative based on the distribution of total marks.