Course Code | CS 215 |

Course Name | Data Analysis and Interpretation |

Offered to | UG/PG |

Pre-requisites | NIL |

Lecture | 3 |

Tutorial | 0 |

Practical | 0 |

Credit | 6 |

Reference | 1. Introduction to Probability and Statistics for Engineers and Scientists, S. Ross, 2007 Reference Texts: 1. An Introduction to probability theory and its applications. (Vols. 1, 2), W Feller, 3/e |

Description | Objective: The course gives an elementary-level introduction to probability and statistics for engineers and scientists. Along with theory and methods, this course focuses on applications in real-life using statistical computing and graphics tools, e.g., R programming language. Contents: • Data visualisation tools and techniques •Discrete experiments, Probability space, Equally-likely outcomes and combinatorial problems, Non-equally likely outcomes •Conditional probability, Bayes formula, Independent events • Random variables, Binomial and Poisson distributions, Expectation, Variance, Linearity of expectation • Markov and Chebyshev inequalities, simple applications • Joint distributions, joint densities, correlation • Statistics, sampling, central limit theorem, hypothesis testing |