Introduction to Probability and Statistics (BSC-301)
Program: B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Category: Basic Science Course
Semester: 3
Credits: 3
L-T-P: 3- 0- 0
Description
Instructor

Dr. Pallavi Sharma

Assistant Professor
Department Of Applied Sciences
Course Outcomes
  • Explain the concept of number theory.
  • Apply the concepts of Machine learning in real world.
  • Appreciate the importance of data in machine learning.
  • Implement the concept of Hypothesistesting.
  • Assimilate the knowledge of Stochastic Process.
Resources
Course Handout Lesson Plan Syllabus
Evaluation Scheme
MST 10
MST_1 10
Assignment 20
Attendance 10
Total Internal 50
Total External 100
Overall Total 150