Introduction


CSE 840: Computational Foundations of AI

Vishnu Boddeti

Class Info

  • Instructor: Vishnu Boddeti
  • Class: Mon & Wed 03:00pm - 04:20pm
  • Location: Stem 2202 & Zoom
  • Office Hours: Mon,Wed 04:20pm - 05:20pm
  • Teaching Assistants:
    • Milad Afshari
  • Office Hours: TBD

Administrative Stuff

Websites

Communications

  • Piazza for all communication
  • Do NOT send emails to instructor or TAs
  • Install Piazza App on phone, tablet, etc.
  • Turn-on notifications for Piazza
  • Your responsibility to check Piazza regularly.

Grading

  • In class multiple choice quiz: 20%
  • Mid-Term Exam: 35%
  • Final Exam: 35%
  • 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.
  • Assignments (optional):
    • for self-study, they do not need to be turned in
    • will not be graded
The entire course is mathematical.

Grading Rubric

Range Grade
90+ 4.0
60 < score ≤ 90 3.5
25 < score ≤ 60 3.0
0 < score ≤ 25 0.0

May adjust this depending on how everyone is doing.

Book

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)

Q & A

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