Name | Office Hours | |
---|---|---|

Vishva Desai | u1368790@utah.edu | Monday, 9:35am - 11:35am, Rm 3115 MEB |

Elham Ghelichkhan | u1368673@utah.edu | Thursday, 11am-1pm, Rm 3115 MEB |

Fnu Harshit | u1471783@utah.edu | Friday, 1pm-3pm, Rm 3115 MEB |

Ryan Lam | u0674827@utah.edu | Tuesday, 11am-1pm, Rm 3115 MEB |

Freda Shi | u1381017@utah.edu | Monday, 3-5pm, Rm 3115 MEB |

Ananya Smirti | u1419404@utah.edu | Wednesday, 3-5, Rm 3115 MEB |

Class times: Tuesdays, Thursdays 3:40 pm - 5:00 pm

Location: ASB 220

Catalog numbers: CS 3130-01 and ECE 3530-01

An introduction to probability theory and statistics, with an emphasis on solving problems in computer science and engineering. Probability and statistics is an important foundation for computer science fields such as machine learning, artificial intelligence, computer graphics, randomized algorithms, image processing, and scientific simulations. Topics in probability include discrete and continuous random variables, probability distributions, sums and functions of random variables, the law of large numbers, and the central limit theorem. Topics in statistics include sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing. Beyond the fundamentals, this course will also focus on modern computational methods such as simulation and the bootstrap. Students will learn statistical computing using the freely available R statistics software.

An electronic version of this book is freely available through the University: here. To access the book you must be visiting this website from the campus network. Or if you are off campus, you can access it using VPN.