ECE 57000: Artificial Intelligence (Fall 2019)

Important Links

Optional textbooks

The bracketed acronym is used for referencing these books in the schedule below.

  1. [DL] Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016. http://www.deeplearningbook.org
  2. [ML] Machine Learning: A Probabilistic Perspective by Kevin P. Murphy, 2012. https://ebookcentral.proquest.com/lib/purdue/detail.action?docID=3339490
  3. [PY] Python Data Science Handbook by Jake VanderPlas, 2016. https://jakevdp.github.io/PythonDataScienceHandbook/

Course Schedule (Tenative)

L W Day Date Due by noon Topic Related readings
1 1 Mon Aug-19 Syllabus
2 Wed Aug-21 Introduction to A.I. [slides] Intro. to A.I., DARPA Overview of AI
3 Fri Aug-23 How to Select Papers / Overview of A.I. Topics [slides] How to Select Papers, [slides] Overview of A.I. Topics
4 2 Mon Aug-26 Intro. to ML [ML, Ch. 1], [slides] Intro. to Machine Learning
5 Wed Aug-28 [Quiz 1] (continued) HW1 Instructions, [slides] Intro. to Machine Learning (part 2)
6 Fri Aug-30 Clustering [notebook], [pdf of notebook]
3 Mon Sep-2 No class (Labor Day)
7 Wed Sep-4 HW1 Clustering (continued) [notebook], [pdf of notebook]
8 Fri Sep-6 Select 3 papers Clustering (continued) [notebook], [pdf of notebook]
9 4 Mon Sep-9 Brief Review of Linear Algebra [DL, Ch. 2], [notebook], [pdf of notebook]
10 Wed Sep-11 [Quiz 2] Brief Review of Linear Algebra (continued) HW2 Instructions, [notebook], [pdf of notebook]
11 Fri Sep-13 Brief Review of Linear Algebra (continued) [notebook], [pdf of notebook]
12 5 Mon Sep-16 Brief Review of Probability [DL, Ch. 3], [ML, Ch. 2], [slides] Review of Probability (Part 1)
13 Wed Sep-18 Brief Review of Probability (continued)
14 Fri Sep-20 HW2 Brief Review of Probability (continued)
15 6 Mon Sep-23
16 Wed Sep-25
17 Fri Sep-27
18 7 Mon Sep-30
19 Wed Oct-2
20 Fri Oct-4
8 Mon Oct-7 No class (Oct Break)
21 Wed Oct-9
22 Fri Oct-11
23 9 Mon Oct-14
24 Wed Oct-16
25 Fri Oct-18
26 10 Mon Oct-21
27 Wed Oct-23
28 Fri Oct-25
29 11 Mon Oct-28
30 Wed Oct-30
31 Fri Nov-1
32 12 Mon Nov-4
33 Wed Nov-6
34 Fri Nov-8
35 13 Mon Nov-11
36 Wed Nov-13
37 Fri Nov-15 Term paper
14 Mon Nov-18 Presentations
Wed Nov-20 Presentations
Fri Nov-22 5-min video Presentations
15 Mon Nov-25 Presentations
Wed Nov-27 No class (Thanksgiving)
Fri Nov-29 No class (Thanksgiving)
16 Mon Dec-2 Presentations
Wed Dec-4 Presentations
Fri Dec-6 Reviews Presentations
Mon Dec-9 No exam
Wed Dec-11 No exam
Fri Dec-13 No exam