Detailed schedule for CS 343H: Artificial Intelligence

Please monitor this page closely.  Contents can change up to one week in advance of a deadline.

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Week 1: Introduction (1/14 and 1/16)

Slides-Tues
Slides-Thurs

Readings: due Thursday 1/16 (email response due Wed by 8 pm)
Setup/logistics: due Tuesday 1/14 by 11:59 pm
Programming: due Thursday 1/23 by 11:59 pm


Week 2: Search (1/21 and 1/23)

Slides-Tues
Slides-Thurs

Readings: due Tuesday 1/21 (email response due Mon 1/20 by 8 pm)

Readings: due Thursday 1/23 (email response due Wed 1/22 by 8 pm)

Programming: out on Thursday 1/23, due on Thursday 2/6 by 11:59 pm



Week 3: Beyond classical search (1/28 and 1/30)


Slides-Thurs

Readings: due Thursday 1/30 (email response due Wed 1/29 by 8 pm)



Week 4: Adversarial Search (2/4 and 2/6)

Slides-Tues
Slides-Thurs

Readings: due Tuesday 2/4 (email response due Mon 2/3 by 8 pm)
Programming: out on Thursday 2/6, due Thursday 2/20 by 11:59 pm



Week 5: Probability (2/11 and 2/13)

Slides-Tues
Slides-Thurs

Readings: due Tuesday 2/11 (email response due Mon 2/10 by 8 pm)

Readings: due Thursday 2/13 (email response due Wed 2/12 by 8 pm)


Week 6: Utilities and MDPs (2/18 and 2/20)

Slides-Tues
Slides-Thurs

Readings: due Tuesday 2/18 (email response due Mon 2/17 by 8 pm)

Programming: out on Thursday 2/20, due Thursday 3/20 by 11:59 pm



Week 7: Reinforcement Learning (2/25 and 2/27)

Slides-Tues
Slides-Thurs

Readings: due Tuesday 2/25 (email response due Mon 2/24 by 8 pm)

Readings: due Thursday 2/27 (email response due Wed 2/26 by 8 pm)




Week 8: Midterm and RL wrap-up (3/4 and 3/6)

Slides-Tues


Week 9: Bayesian Networks (3/18 and 3/20)


Slides-Tues
Slides-Thurs

Course survey due Monday 3/17

Readings: due Tuesday 3/18 (no email response due)
Readings: due Thursday 3/20 (no email response due)


Week 10: Bayesian Networks and Decision Networks / VOI (3/25 and 3/27)


Slides-Tues
Slides-Thurs

Readings: due Tues 3/25 (email response due Mon 3/24 by 11:59 pm)
Readings: due Thurs 3/27 (email response due Wed 3/26 by 11:59 pm)
Programming: out on 3/25, due on 4/28 by 11:59 pm (nightly qualification opens 4/1)
Programming: out on 3/27, due on 4/10 by 11:59 pm  --- Extended to 4/14 by 11:59 pm


Week 11: Probabilistic Reasoning Over Time (4/1 and 4/3)

Slides-Tues
Slides-Thurs

Readings: due Tues 4/1 (email response due Mon 3/31 by 11:59 pm)
Readings: due 4/3 (email response due Wed 4/2 by 11:59 pm)
Programming: Reminder - Contest qualification opens on 4/1.  You have until 4/28 to qualify and complete the assignment.



Week 12: Learning Probabilistic Models: Classifiers (4/8 and 4/10)


Slides-Tues
Slides-Thurs - Guest lecture by Dr. Jonathan Mugan

Readings: due Tues 4/8 (email response due Mon 4/7 by 11:59 pm)
Readings: due Thurs 4/10

Programming: out on 4/10, due on 4/24 at 11:59 pm



Week 13: Learning Probabilistic Models (4/15 and 4/17)

Slides-Tues (see email for video lecture link -- no in-class lecture on Tues 4/15)

On Thurs 4/17, Class meets in GDC 2.216 to attend Colloquium by Prof. Deva Ramanan (UC Irvine), "Statistical analysis by synthesis: visual recognition through reconstruction" (GDC 2.216 Auditorium)

Readings: due Tues 4/15 (email response due Mon 4/14 by 11:59 pm)

Readings: due Thurs 4/17 (email response due Wed 4/16 by 11:59 pm)

Week 14: More Supervised Learning (4/22 and 4/24)

Slides-Tues
Slides-Thurs

Readings: due Tues 4/22


Week 15: Applications and course wrap-up

Slides-Tues
Slides-Thurs

Final exam: Monday May 12, 2-5 pm in  CPE 2.218 

As reference, see this UCB practice exam and solutions.  Our final will not include topics not covered in lecture, i.e., CSP.