UMBC CMSC 671 Fall 2021 |
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Schedule
|
# | Day | Date | Topic | Read 1st | Slides |
Video | Quiz, Homework |
Seealso |
---|---|---|---|---|---|---|---|---|
1 | Tue | 8/31 | Administrivia, Introduction, history | RN1 | 00 01 |
L01 | hw1 out | History of AI |
2 | Thr | 9/2 | Agents | RN2 |
L02 | Software agents | ||
3 | Tue | 9/7 | Problem solving as search | RN3 |
L03 |
|
||
4 | Thr | 9/9 | Uninformed search | RN4 |
L04 | hw1 due |
Missionaries and cannibals, Water jugs, aima code, wj.py, wj.ipynb |
|
5 | Tue | 9/14 | Informed search | RN4 |
L05.1, L05.2 | hw2 out |
||
6 | Thr | 9/16 | Informed Search |
RN4 |
L06 | |||
7 | Tue | 9/21 | Constraints | RN5 |
L07 |
|
CCC site, 8 queens CSP, csp.py, CSP
demo, SLS
CSP demo, Genetic algorithm |
|
8 | Thr | 9/23 | Constraints |
RN5 |
L08 |
|
ms3.py, mapc.py, sudoku.py, python-constraints | |
9 | Tue | 9/28 | Games |
RN 6 |
L09 | hw2 due |
Checkers solved; U. Alberta Games Group; AlphaGo |
|
10 | Thr | 9/30 | Games | RN 6 |
L10 | hw3 out |
It, New Yorker, 1952; | |
11 | Tue | 10/5 | Game Theory | RN 17.6 |
L11 | game theory, PD demo, PD lessons, Prisoner's Dilema, Chicken, Evolution of Trust |
||
12 | Thr | 10/7 | Reasoning Agents | RN7 |
L12 | Hunt the Wumpus; neats vs scruffies | ||
13 | Tue | 10/12 | Reasoning Agents | RN7 |
L13 | Knowledge Base; Wason selection task; | ||
14 | Thr | 10/14 |
KR and FOL |
RN8 |
L14 | hw3 due | see notes 9.3.1 and 9.3.2 |
|
15 | Tue | 10/19 | MIDTERM EXAM | RN 1-6; 17.6 |
-- | material thru lecure 11 (10/5), 75 minute exam held in person | ||
16 | Thr | 10/21 | FOL | RN9 | 09 | L15 | hw4 out | see notes 9.3.2 and 9.4.1 |
17 | Tue | 10/26 | KR, Planning | RN10 |
L16 | see notes 9.4.1 and 9.4.2, STRIPS, Planning and scheduling, | ||
18 | Thr | 10/28 |
Planning |
RN11 |
L17 | PDDL, planning.domains, planning repo | ||
19 | Tue | 11/2 | Probability & Bayesian Reasoning | RN11 |
13, 15.1 | L18 | hw4 due
|
|
20 | Thr | 11/4 | Planning, BBNs | RN 12 |
L19 | Bayes theorem video | ||
21 | Tue | 11/9 | BBNs, Machine learning | RN13 |
L20 |
|
Netica BBN Tutorial | |
22 | Thr | 11/11 | Decision trees | RN19 video |
14 | L21 |
|
Google's Rules of Machine Learning, Unreasonable Effectiveness of Data |
23 | Tue | 11/16 | Decision trees | RN19 |
L22 | hw5 out | ||
24 | Thr | 11/18 | methodology, SVMs, clustering | RN19 video |
L23 | Training, validation, test sets, Precision and recall, FI, Support vector machine |
||
25 | Tue | 11/23 | clustering, bagging | RN19 |
L24 | Cluster analysis, colab notebooks, hierarchical clustering, ensemble learning, colab clustering notebooks |
||
-- | Thr | 11/25 | -- | -- |
-- | -- | -- |
|
26 | Tue | 11/30 | neural networks | RN19 |
L25 | hw5 due hw6 out |
||
27 | Thr | 12/2 | neural networks | RN21 |
14_02 | L26 | colab notebooks, NN playground | |
28 | Tue | 12/7 | NLP, embeddings | RN21 | 18_NLP | L27 | colab notebooks, keras.io, word2vec demo | |
29 | Thr | 12/9 | deep learning, transformers, wrap up | RN21 | 14_03, 14_04 | L28 | HWx.ipynb; Huggingface transformers; OpenAI | |
-- | Tue | 12/14 | -- | -- | -- | hw6 due | ||
-- | Tue | 12/21 |
FINAL EXAM | see above |
see above |
see above |
1-3:00 pm online |
old exams |