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  1. © २०२५ राष्ट्रीय प्रौद्योगिकी संस्थान कुरुक्षेत्र। सर्वाधिकार सुरक्षित।

    CSTC314 Introduction to Statistical Modelling and R-Programming

    आवश्यकताएँ:

    इस कोर्स के लिए कोई आवश्यकता नहीं

    कोर्स प्रकृति: TC
    उद्देश्य:
  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. समान कोर्स:

    समन्वयक

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    सामग्री

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    परिणाम

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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
    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    संदर्भ पुस्तकें

    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.