Introduction to Probability and Statistics (BSC-301)
Program: B.Tech Computer Science and Engineering(Cyber Security)
Category: Basic Science Course
Semester: 3
Credits: 3
L-T-P: 3- 0- 0
Description
Introduction to Probability and Statistics provides foundational knowledge in statistical reasoning and data analysis. The course introduces key concepts such as descriptive statistics, probability theory, random variables, probability distributions, sampling, estimation, hypothesis testing, correlation, and regression. Emphasis is placed on both theoretical understanding and practical application, equipping students with the skills needed to collect, analyze, interpret, and present data effectively. By the end of the course, students will be able to make informed decisions using statistical methods and apply probability models to solve real-world problems across various disciplines.
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 Hypothesis testing.
  • Assimilate the knowledge of the 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