CS 175 📊

Welcome to Project in Artificial Intelligence

👋 Welcome!

Please start by reviewing the syllabus.

👩‍🏫 Instructor: Nadia Ahmed

🕞 Time and Location:

📲 Staff Contact: The best way to reach the staff is by making posts on the Ed Discussion.

This course aims to enable students to construct a working artificial intelligence system and evaluate its capabilities, including the impact of knowledge representation on a real-world problem.

In this course offering, collaborating domain specialists from the open source community will highlight use cases that can benefit from the application of machine learning in its understanding of a particular phenomenon. Facilitated by the instructional staff, small student teams will assess the needs and requirements of the problem while developing project proposals. Using best practices from software engineering, students will develop project repositories that demonstrate good modular design with respect to different components of their machine learning pipeline. Documentation, testing, version control, and continuous integration practices ensure that the system is reproducible. Students will present in their results in a Final Showcase to collaborating subject matter experts and the broader community.

🛑 Prerequisites: COMPSCI 171 and COMPSCI 178

🖍️ Miro Boards:

📆 Course Calendar

WeekDateTopicDeadlines
  Challenge Unveiling 
2Apr 10Ask the Experts: Zoom, HMW Categorization & Lightning DemosLightning Demo Due Apr 9th 5p PST, HW1: Exploratory Data Analysis OUT
3Apr 17Art Gallery Voting, Art Gallery: Meet the ArtistArt Gallery Submission Due Apr 16th 5p PST, Assignment Art Gallery Due Apr 23rd 4p PST
4Apr 24Proposal PresentationsHW1: DUE Apr 29th 11:59p PST
5May 1Tooling and Development Infrastructure & Deep Learning FrameworksRevised Group Proposal DUE May 2nd 11:59p PST, HW2: DataLoader OUT May 3rd 7:59p PST
6May 8Overview of Computer Vision Tasks, Supervised TechniquesHW2: DUE May 13th 11:59p PST, HW3: Modeling OUT May 16th 7:59p PST
7May 15Model Training and Monitoring & Transfer Learning 
8May 22Semantic Segmentation & Self-supervised TechniquesHW3: DUE May 24th 11:59p PST, Final Project: Empty Repo OUT, Pull Request
9May 29Team Focus Check-insPull Request
10June 5Team Focus Check-insPull Request
FINALSJune 12 7p-9pFINAL SHOWCASEPoster loaded to screens 6:45p, Pull Request 3, Tech Memo due by June 13 11:59p