Introduction
CSE 840: Computational Foundations of AI
Vishnu Boddeti
Class Info
- Instructor: Vishnu Boddeti
- Class: Mon & Wed 03:00pm - 04:20pm
- Location: Akers Hall 139
- Office Hours: Mon,Wed 04:20pm - 05:20pm
- Teaching Assistants:
- Office Hours: TBD
Communications
- Piazza for all communication
- Do NOT send emails to instructor or TAs
- HW/Exam submitted via email will NOT be graded
- Install Piazza App on phone, tablet, etc.
- Turn-on notifications for Piazza
- Your responsibility to check Piazza and GitHub Classroom regularly
Assignments and Grading
- Four long-form homeworks: 30%
- Four multiple-choice homeworks: 20%
- Mid-Term Exam: 20%
- Final Exam: 20%
- Lecture scribing: 10%
- Will share a One Drive folder where you can upload the source, PDF and any figures if necessary.
- One extra point for every mistake found in the lecture notes. Maximum of 10 points.
The entire course is mathematical.
Assignments and Grading
- Getting an A vs mastering the material.
- Build your foundations.
- Take advantage of extra credit when available.
Late Days
- 5 free late days total (not per assignment)
- beyond that, 10% reduction of points per late day
- use free late days wisely, save them for assignments towards the end
Book
- Not required, lecture notes will be provided.
- But for students who want to read more we recommend:
Plagiarism
- This course has adopted the Chegg and Similar Sites policy. Submission of student work (e.g. assignments and/or exam solutions) based on those found on Chegg, Brainly, Quizlet, and other similar websites will result in an Academic Dishonesty Report (ADR) and an automatic failing grade of zero (0.0) for the course. The ADR for students personally posting questions from assignments or exams to these sites will request additional sanctions.
ADR + Automatic Failure of the Course (no exceptions, no excuses)