Lecture is held on Tuesdays and Thursdays from 11:15-12:05 in Phillips 407. Lectures are mandatory. It is important that you attend, because we will cover items in lecture that we will not cover elsewhere in the course.
Lecture notes
Lecture notes will be posted here after each class. They can be downloaded in PDF or PPT format. If you find any of these links missing, or cannot open any of the files, please send email to the course staff.
Lecture | Date | Contents | |||
---|---|---|---|---|---|
0 | 1/20 | Matlab Introduction | |||
1 | 1/20 | Robots: Cute but Dumb | PPT | ||
2 | 1/22 | Finding Red Pixels, Part 1 | PPT | ||
3 | 1/27 | Finding Red Pixels, Part 2 | PPT | ||
4 | 1/29 | Robustness and speed | PPT | ||
5 | 2/3 | Sorting and selection | PPT |
PDF |
|
6 | 2/5 | Sorting and selection, Part 2 | PPT |
PDF |
|
7 |
2/10 | Blobs and graphs |
PPT |
PDF |
Notes on Big-O |
8 |
2/12 | Connected components and graph traversal |
PPT |
PDF |
|
9 |
2/17 | Breadth-first and depth-first graph traversal |
PPT |
PDF |
|
10 |
2/19 | Linked lists |
PPT |
PDF |
|
11 |
2/24 | Linked lists and memory allocation |
PPT |
PDF |
Study Guide for Prelim 1 |
12 |
3/3 | Polygons and convex hull |
PPT |
PDF |
|
13 |
3/5 | Interpolation |
PPT |
PDF |
|
14 |
3/10 | Image transformations |
PPT |
PDF |
|
15 |
3/12 | Image transformations, Part 2 |
PPT |
PDF |
|
16 |
3/24 | Object recognition |
PPT |
PDF |
|
17 |
3/26 | Feature-based object recognition |
PPT |
PDF |
|
18 |
3/31 | Finding transformations |
PPT |
PDF |
|
19 |
4/2 | Optimization and least squares |
PPT |
PDF |
Study Guide for Prelim 2 |
20 |
4/9 | Markov chains |
PPT |
PDF |
|
21 |
4/14 | Markov chains -- Part 2 |
PPT |
PDF |
|
22 |
4/21 | Author recognition |
PPT |
PDF |
|
23 |
4/23 | Clustering and greedy algorithms |
PPT |
PDF |
|
23 |
4/28 | Clustering and greedy algorithms -- Part 2 |
PPT |
PDF |
Study Guide for Prelim 3 |
If you have any questions that you would like answered over email, please direct them to cs1114-staff-l@lists.cs