# Schedule
AEFIS Syllabus:
PDF
| Week |
Date |
Topics |
RN |
SS |
Q |
D |
M |
P |
| W1 |
20-Jun |
Perceptron Algorithm |
19 |
9 |
Q1 |
D1 |
M1 |
P1 |
|
21-Jun |
Logistic Regression |
19 |
14 |
Q2 |
|
M2 |
|
|
22-Jun |
Neural Network |
19 |
20 |
Q3 |
D2 |
M3 |
|
|
23-Jun |
Backpropagation |
19 |
20 |
Q4 |
|
|
|
| W2 |
27-Jun |
Support Vector Machine |
19 |
15-16 |
Q5 |
D3 |
M4 |
P2 |
|
28-Jun |
Decision Tree, K-Nearest-Neighbors |
19 |
18-19 |
Q6 |
|
|
|
|
29-Jun |
Computer Vision, Convolutional Network |
25 |
|
Q7 |
D4 |
M5 |
|
|
30-Jun |
Natural Language and Speech |
21 |
|
Q8 |
|
|
|
| W3 |
4-Jul |
Independence Day |
23 |
|
Q9 |
D5 |
|
|
|
5-Jul |
Bayesian Network, Naive Bayes |
20 |
24 |
Q10 |
|
M6 |
P3 |
|
6-Jul |
Midterm Review, Part I |
24 |
|
|
D6 |
|
|
|
7-Jul |
Midterm Review, Part II |
|
|
|
|
|
|
| W4 |
11-Jul |
Attention and Transformers |
22 |
|
Q11 |
|
|
|
|
12-Jul |
Large Language Models |
22 |
|
Q12 |
|
|
|
|
13-Jul |
Midterm Exam, Part I |
|
|
|
|
|
P6 |
|
14-Jul |
Midterm Exam, Part II |
|
|
|
|
|
|
| W5 |
18-Jul |
Hierarchical Clustering, K-Means Clustering |
20 |
22 |
Q13 |
D7 |
M7 |
P4 |
|
19-Jul |
Principal Component Analysis |
20 |
23 |
Q14 |
|
|
|
|
20-Jul |
Markov Decision Process |
20 |
22 |
Q15 |
D8 |
M8 |
|
|
21-Jul |
Reinforcement Learning |
20 |
23 |
Q16 |
|
|
|
| W6 |
25-Jul |
Uninformed Search, Robotics |
3 |
|
Q17 |
D9 |
M9 |
P5 |
|
26-Jul |
Informed Search |
3 |
|
Q18 |
|
|
|
|
27-Jul |
Hill-Climbing, Simulated Annealing |
4 |
|
Q19 |
D10 |
M10 |
|
|
28-Jul |
Genetic Algorithms, Constraint Satisfaction |
4 |
|
Q20 |
|
|
|
| W7 |
1-Aug |
Game Theory |
5 |
|
Q21 |
D11 |
M12 |
P6 |
|
2-Aug |
Minimax Game, Alpha-Beta Pruning |
5 |
|
Q22 |
|
M11 |
|
|
3-Aug |
Final Review, Part I |
|
|
|
D12 |
|
|
|
4-Aug |
Final Review, Part II |
|
|
|
|
|
|
| W8 |
8-Aug |
Adversarial Machine Learning |
|
|
Q23 |
|
|
|
|
9-Aug |
Ethics of AI in Real World |
|
|
Q24 |
|
|
|
|
10-Aug |
Final Exam, Part I |
|
|
|
|
|
|
|
11-Aug |
Final Exam, Part II |
|
|
|
|
|
|
📗 (RN) Russell and Norvig: Chapters from the optional textbook: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Link.
📗 (SS) Shai and Shai: Chapters from the optional textbook: Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Schwartz and Shai Ben-David
Link.
📗 (Q/D) Quizzes and Discussions: Weekly in-class Quizzes and Piazza Discussions.
📗 (M) Math homework: Weekly Math homework.
📗 (P) Programming homework: Bi-weekly Programming homework.
📗 Synchronous lectures: official lecture time slots will be used for: (~5 min) participation games, (~20 min) review of basic materials, (~45 min) going over examples and quizzes, on Zoom and recorded. You will login TopHat using your wiscID to complete the quizzes.
📗 (Optional) Asynchronous lectures: pre-recorded lectures from last two years are posted on YouTube (~2 hour each lecture, divided into six parts). Pre-recorded discussions of quiz and homework questions will be posted on YouTube. They cover the same materials as the Zoom lectures, and can be watched either before or after the official lecture time slots. If you are comfortable with the materials and quiz questions from the Zoom lectures, you can skip these videos.
# Grading Scheme
| Component |
Frequency |
Number |
Points Each |
Total |
| (P) Programming |
Weekly |
5 |
8 |
40 |
| (X) Exam |
Midterm and Final |
2 |
30 |
60 |
📗 The recommended programming language is Java and Python. Code written in other languages will be accepted. The course staff will only be able to provide help with code in Java and Python.
📗 The lowest Programming homework grade can be replaced by a programming project you choose (P6).
📗 Each of the Exams is worth 30 percent of the final grade, but you can use Quizzes and/or Discussions and/or Math homework to replace a maximum of 15 percent for each Exams.
Alternatives to exams:
| Component |
Frequency |
Number |
Max Points Each |
Total |
| (Q) Quizzes |
Daily |
20 |
0 or 0.5 |
10 |
| (D) Discussions |
Weekly |
10 |
0 or 1 |
10 |
| (M) Math |
Weekly |
10 |
0 or 1 |
10 |
📗 Discussions include:
(1) Group discussions: you have to post at least one reply to get the points;
(2) Sharing solutions to past exam questions: sign up by leaving a comment on this
Google Sheet, and make a public Piazza post (note) with the name "X?Q?" and Piazza tag d? that includes:
(i) a copy or a screenshot of your version of the question;
(ii) detailed solution and explanation to how you come up with the solution;
(iii) incorrect solutions and missing or unclear explanations will receive no points.
| Component |
Max Points Each |
Max Post per Week |
| (D) Group Discussion |
0.5 |
2 |
| (D) Share Solution |
0.5 |
2 |
📗 The total points earned from Quizzes, Discussions, and Math homework cannot exceed 30 percent of the final grade, but the unearned points will be used in case of borderline grades (89, 84, 79, etc).
| Grade |
Letter |
Numeric |
| 90+ |
A |
4 |
| 85+ |
AB |
3.5 |
| 80+ |
B |
3 |
| 75+ |
BC |
2.5 |
| 70+ |
C |
2 |
| 60+ |
D |
1 |
| 0+ |
F |
0 |
📗 Midterm and final exam grades will be curved by dropping the questions with a negative point biserial correlation coefficient (RPBI < 0) or less than a quarter of the students answered correctly (PROB < 25%). The students who answered those correctly keep the points as bonus points. Quiz and homework grades will not be curved. The final grade will not be curved.
| Exams |
Time |
Format |
Coverage |
| Midterm |
2 x 1.5 hours |
30 Short Answer |
W1 to W3 |
| Final |
2 x 1.5 hours |
30 Short Answer |
W5 to W7 |
# Admin
📗 Instructor: Young Wu
📗 Lectures (recorded): Tuesday, Wednesday, Thursday, Friday from 1:00 to 2:15 on Zoom:
Zoom Link 📗 Office Hours (not recorded): after lectures Tuesday, Wednesday, Thursday, Friday from 2:15 to 3:00 on Zoom:
Zoom Link 📗 Programming Sessions (Java, recorded): Saturdays from 1:00 to 3:00 on Zoom:
Zoom Link.
📗 Math Review Sessions (recorded): Mondays from 1:00 to 3:00 on Zoom:
Zoom Link.
📗 TA: Yuye Jiang
📗 Office Hours (after guest lecture and review sessions, not recorded): 2:15 to 3:00 on Zoom:
Zoom Link.
📗 Review Sessions (see schedule, recorded): 1:00 to 2:15 on Zoom:
Zoom Link 📗 TA: Naman Gupta
📗 Office Hours (program debugging, not recorded): Mondays from 3:00 to 5:00 on Zoom:
Zoom Link.
📗 Programming Sessions (Python, recorded): Saturdays from 1:00 to 3:00 on Zoom:
Zoom Link.
| Day |
Office Hours |
Staff |
Due |
| Monday |
1:00 - 3:00 |
Young |
M, P, D |
| Monday |
3:00 - 5:00 |
Naman |
- |
| Tuesday |
2:15 - 3:00 |
Young |
Q |
| Wednesday |
2:15 - 3:00 |
Young |
Q |
| Thursday |
2:15 - 3:00 |
Young |
Q |
| Friday |
2:15 - 3:00 |
Young |
Q |
| Saturday |
1:00 - 3:00 |
Young |
- |
# Course Website
📗 This webpage (for lecture notes and assignments).
📗 Summer 2019 to 2022 Courses:
Link.
📗 Canvas (for grades):
Link.
📗 TopHat (for quizzes):
Link 📗 Piazza (for discussion):
Link 📗 Professor Jerry Zhu:
2022.
📗 Professor Sharon Li:
2021 📗 Professor Charles Dyer:
2019;
📗 Professor Jude Shavlik:
2016.