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Thanesar, Haryana, India 136119
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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSTC314 Introduction to Statistical Modelling and R-Programming

    Prerequisites:

    No prerequisites for this course

    Course Nature: TC
    Objectives:
  1. To develop an ability to learn how to solve the problems by statistical methods and design efficient algorithms to solve real-time problems using R-programming.
    2. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

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    Outcomes

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    1. Understand the basic concepts of Probability and expectation
    2. Apply Probability theory to formulate discrete and continuous distributions
    3. Apply Markov chain, queuing theory, Birth-Death process and regression techniques in computation algorithms
    4. Develop real-world applications using R-Programming
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    Reference Books

    1. Trivedi, Kishor S. Probability, Statistics with Reliability, Queuing and Computer Science Applications, 2nd Ed. Wiley-India Ed., 2008.

    2. Ross, Sheldon M., Introduction to Probability Models. 11th Ed. Academic Press Inc, 2014.

    3. Corol Ash, The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (And Everyone Else!) 1st Ed., Wiley, 1993.

    4. Feller, W. An Introduction to Probability Theory and its applications, 2nd Vols., Wiley Eastern, 1975.

    5. Cotton, R., Learning R: a step by step function guide to data analysis. 1st Ed. O’Reilly Media Inc.