Week 10 TODO
Teaching Team
Problem Set #7 has been released! In this pset, you'll practice practice practice!
Based on a few requests from students we are going to grant everyone in class 2 (two) extra late days. That means you have 7 late days total across the quarter not 5. Enjoy, and use this as an opportunity to manage your time well.
Problem Set #6 has been released! In this pset, you'll implement logistic regression from scratch and apply machine learning methods to real world datasets. Hope you enjoy.
One of the joys of probability+programming is the ability to make something totally of your own creation. In CS109 this quarter we are hosting a Challenge where you can make anything you like using the concepts and tools we learn in class. See the Challenge handout for more details.
Problem Set #5 has been released! Explore the beauty of the Beta distribution the Central Limit Theorem and Algorithmic Analysis.
Problem Set #4 has been released. Practice more with inference and probabilistic models. PSET4 is due October 24th. This is the last problem set before the midterm.
PEP for the midterm is next week! PEP ("Personalized Exam Prep") is a one-on-one 15-minute meeting you have with a TA in the week before the midterm (you will have another one the week before the final as well!). PEP is designed to help you figure out how to best prepare for exams. In prior quarters, students found PEP to be super helpful, so we hope you'll think so too!
Sign up for PEP here: PEP Signup Form Sign ups are first come, first served so sign up asap to get your favorite time. Check out the Ed post on PEP for FAQs.
Problem Set #3 has been released. Practice inference and work deeper with continuous random variables.
Problem Set #2 has been released! It features the discrete random variables we've learned in class -- you'll analyze a bloom filter (a probabilistic datastructure), tell the difference between true randomness and a human faking it, and learn about exponential backoff!
Sign up for section using the Section Sign up Form before Sunday Sept 28th at 5pm. Suggest songs for the class playlist (also by 5pm on Sunday).
Problem Set #1 has been released! It is due on Friday, Oct 3rd at 10:00pm Pacific. Practice working with conditional probability, independence, and Bayes' Theorem. Problems 1, 2, 3, 7 and 8 can be done with Wednesday's lecture material and the rest of the problems can be completed after Friday's lecture.
Welcome to CS109! We are looking forward to an uplifting and exciting quarter. Class starts Monday, Sept 22nd at 3pm PT in Hewlett 200. See you there 🌱.
The Syllabus page has details on course logistics. Read our FAQ for more information. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in CS109. 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. The Office Hours page has contact information for the teaching team. Office Hours will be listed on this calendar and start on Wednesday, Sept 24th. Section enrollment details will be released on the first day of class; you do not need to enroll via Axess
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