September | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
25 | 26 | 27
13:30 Project 0 assigned
15:30-16:30 OH (Dieter)
CSE 586 |
28
15:30-16:30 OH (Kenny)
CSE 021 |
29
10:30-11:30 OH (Nicholas)
CSE 021
16:30-17:30 OH (Vardhman)
CSE 007 |
October | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
02
13:30 Project 1 assigned
14:30-15:20 Lecture
AND 223 Best-First, Uniform-Cost, Greedy, and A* Search Read: Chapter 3.5 - 3.7 Heuristic Search Slides
15:30-16:30 OH (jz)
CSE 007 |
03 | 04
14:30-15:20 Lecture
AND 223 Heuristic search (continued)
15:30-16:30 OH (Dieter)
CSE 586 |
05
15:30-16:30 OH (Kenny)
CSE 021 |
06
10:30-11:30 OH (Nicholas)
CSE 021
16:30-17:30 OH (Vardhman)
CSE 007 |
09
14:30-15:20 Lecture
AND 223 Constraint Satisfaction Problem (CSP) Read: Chapter 6.1 - 6.5 Constraint Satisfaction Slides Constraint Satisfaction PPT
15:30-16:30 OH (jz)
CSE 007 |
10 | 11
14:30-15:20 Lecture
AND 223 CSPs (Continued) & Local Search
15:30-16:30 OH (Dieter)
CSE 586 |
12
15:30-16:30 OH (Kenny)
CSE 021 |
13
10:30-11:30 OH (Nicholas)
CSE 021
14:30-15:20 Lecture
AND 223 Adversarial Search Read: Chapter 4.1, Chapter 5.1-5.3 Adversarial Search slides Alpha-Beta Demo
16:30-17:30 OH (Vardhman)
CSE 007 |
16
14:30-15:20 Lecture
AND 223 Uncertainty & Utilities Read: Chapter 5, Sections 5.4, 5.5, 5.7, 5.9 Chapter 16 Section 16.1-16.3 Utility slides
15:30-16:30 OH (jz)
CSE 007 |
17 | 18
14:30-15:20 Lecture
AND 223 Utilities, Markov Decision Process Chapter 17, Section 17.1, 17.2 MDP Slides MDP PPT
15:30-16:30 OH (Dieter)
CSE 586 |
19
15:30-16:30 OH (Kenny)
CSE 021 |
20
10:30-11:30 OH (Nicholas)
CSE 021
14:30-15:20 Lecture
AND 223 MDP, value iteration Chapter 17, Section 17.1, 17.2 see MDP Slides
16:30-17:30 OH (Vardhman)
CSE 007 |
23
15:30-16:30 OH (jz)
CSE 007 |
24 | 25
15:30-16:30 OH (Dieter)
CSE 586 |
26
15:30-16:30 OH (Kenny)
CSE 021 |
27
10:30-11:30 OH (Nicholas)
CSE 021
14:30-15:20 Lecture
AND 223 Reinforcement Learning (continued) Chapter 21, Section 21.3, 21.4
16:30-17:30 OH (Vardhman)
CSE 007 |
30
14:30-15:20 Lecture
AND 223 Reinforcement Learning (continued) Chapter 21, Section 21.5
15:30-16:30 OH (jz)
CSE 007 |
31 | 01
14:30-15:20 Lecture
AND 223 Reinforcement learning (inverse optimal control) Chapter 21, Section 21.5 RL 2 Slides
15:30-16:30 OH (Dieter)
CSE 586 |
02
15:30-16:30 OH (Kenny)
CSE 021 |
03
10:30-11:30 OH (Nicholas)
CSE 021
14:30-15:20 Midterm exam
16:30-17:30 OH (Vardhman)
CSE 007 |
November | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
06
15:30-16:30 OH (jz)
CSE 007 |
07 | 08
14:30-15:20 Lecture
AND 223 Probabilities, Markov Models Chapter 13, Sections 13.3/4/5/7, Chapter 15 Markov Model slides
15:30-16:30 OH (Dieter)
CSE 586 |
09
15:30-16:30 OH (Kenny)
CSE 021 |
10
Veterans Day
|
13
14:30-15:20 Lecture
AND 223 Guest Lecturer: Yu Xiang Layman's explanation on CNNs Intro to CNNs Stanford's CS231n: Notes on CNNs
15:30-16:30 OH (jz)
CSE 007 |
14 | 15
15:30-16:30 OH (Dieter)
CSE 586 |
16
15:30-16:30 OH (Kenny)
CSE 021 |
17
10:30-11:30 OH (Nicholas)
CSE 021
14:30-15:20 Lecture
AND 223 HMM (continued), Particle Filters Chapter 15, Section 15.5
16:30-17:30 OH (Vardhman)
CSE 007 |
20
14:30-15:20 Lecture
AND 223 Particle Filters and Robot Localization cont. Particle Filter slides Particle Filter ppt
15:30-16:30 OH (jz)
CSE 007 |
21 | 22
15:30-16:30 OH (Dieter)
CSE 586 |
23
Thanksgiving Day
|
24
Day after Thanksgiving
|
27
15:30-16:30 OH (jz)
CSE 007 |
28 | 29
15:30-16:30 OH (Dieter)
CSE 586 |
30
15:30-16:30 OH (Kenny)
CSE 021 |
01
10:30-11:30 OH (Nicholas)
CSE 021
16:30-17:30 OH (Vardhman)
CSE 007 |
December | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
04
15:30-16:30 OH (jz)
CSE 007 |
05 | 06
14:30-15:20 Lecture
AND 223 Bayes Nets: Learning
15:30-16:30 OH (Dieter)
CSE 586 |
07
15:30-16:30 OH (Kenny)
CSE 021 |
08
10:30-11:30 OH (Nicholas)
CSE 021
13:30 Homework 5 due (No late day is allowed)
HW5 solution
14:30-15:20 Lecture
AND 223 Summary
16:30-17:30 OH (Vardhman)
CSE 007 |
11
15:30-16:30 OH (jz)
CSE 007 |
12
14:30-16:20 Final exam
|
13 | 14 | 15 |