Cs109 explore courses. Course Description Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in CS109. Additional problem solving practice for the introductory CS course CS109. Students learn to use tools such as Python to work with data and build statistical models. edu Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. CS 109:Introduction to Probability for Computer Scientists Topics include: counting and combinatorics, random variables, conditional probability, independence This course examines the application of probability in the computer science field and how it is used in the analysis of algorithms. The full schedule will be released on Navigator in mid-August for student viewing. Prerequisites: CS106B, MATH 51 or CME 100, CS109, CS 221 or CS 229. The Schedule page has a list of all topics that we will cover in CS109, and will have links to lecture materials and concept checks. Home Explore Explore Course (598) Program (63) Keywords Enter keywords to search for in courses & programs (optional) Search Items per page Display results as: Grid List Filter Results Topic Free / Paid Delivery Option Credits / Credentials Enrollment / Availability School / Department 661 results found. 90b qwxed kn3alm a1sp2yv2 y1u5l r702y6 k00te j9ov0i 1ikb a2t3l3u