IT302

Course Name: 

Probability and Statistics (IT302) (2018 Curriculum)

Programme: 

B.Tech (IT)

Semester: 

Fifth

Category: 

Programme Core (PC)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Introduction to Statistics and Data Analysis; Probability Theory: Non-deterministic models, Finite Probability Space and related concepts, Conditional Probability, Independent and mutually exclusive events, Bayes’ Theorem, Random Variables – One and Two dimensional, Expectation, Variance, Correlation, Statistical Distributions – Uniform, Normal, Binomial, Gamma, Exponential, Poisson, Chi-Square, Log-Normal, Stochastic Processes: Markov Chains, Binomial & Poisson; Queuing Systems: M/M/1 and M/M/K; Sampling Theory: Random Sampling and Applications, Mean, Median, Mode, Variance, Standard Deviation; Hypothesis Testing: Formulation of hypothesis - null and alternate hypothesis, Parametric and non-parametric tests and their applicability, Criteria for acceptance of hypothesis, Level of Significance, t-test, z-test and Chi-Square Tests with applications.

References: 

P. L. Meyer, Introductory Probability and Statistical Applications, Oxford & IBH Publishers, 2017.
S. M. Ross, Introduction to Probability & Statistics for Engineers and Scientists, 5th Ed., Academic Press, 2014.
Michael Baron, Probability and Statistics for Computer Scientists, 2nd Edition, CRC Press, 2014.
R. V. Hogg, J. W. McKean and A. T. Craig, Introduction to Mathematical Statistics, 7th Edition, Pearson, 2012.
R. E. Walpole et al., Probability and Statistics for Engineers and Scientists, 9th Edition, Pearson, 2010.
Jane M. Horgan, Probability with R with Computer Science Applications, 1st Edition, John Wiley, 2009.
John Verzani, Using R for Introductory Statistics, 2nd Edition, CRC Press, 2014.
G. Jay Kerns, Introduction to Probability and Statistics Using R, 1st Edition, G. Jay Kerns, 2010.
Maria Dolores Ugarte et al., Probability and Statistics with R, 2nd Edition, CRC Press, 2015.

Department: 

Information Technology
 

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

Web Admin: Sowmya Kamath S

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