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Lecture is held on Tuesdays and Thursdays from 11:15-12:05 in Phillips 307. 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 1/25 Matlab Introduction PDF
1 1/25 Overiew and Images in Matlab PPT PDF
2 1/27 Finding Red Pixels PPT PDF
3 2/1 Finding Things PPT PDF
4 2/3 Sorting and Selection (Part 1) PPT PDF
5 2/8 Sorting and Selection (Part 2) PPT PDF
6 2/10 Sorting and Selection (Part 3) PPT PDF
7 2/15 Graphs and Blobs PPT PDF
8 2/17 Implementing Search PPT PDF
9 2/22 Data Structures - Implementation (Part 1) PPTX PDF
10 2/24 Data Structures - Memory Allocation PPTX PDF
11 3/1 Programming Clarity via Objects PPTX PDF
12 3/3 Programming Clarity via Objects (Part 2) PPTX PDF
* 3/4 Prelim 1 Review PDF
* 3/9 Binary Search Tree from Section M-FILE
13 3/10 Objects, Events, and Recursion PPTX PDF
14 3/15 Polygons and the Convex Hull PPT PDF
15 3/17 Guessing Intelligently (Interpolation) PPT PDF
16 3/29 More Image Manipulation PPT PDF
* 3/30 Point Manipulation from Section ZIP
17 3/31 Affine Linear Transformations PPT PDF
18 4/5 Object Recognition PPT PDF
* 4/6 Stick Man from Section ZIP
* 4/7 No Lecture
19 4/12 Regressions and Approximation PPT PDF
* 4/13 MATLAB File IO from Section ZIP
20 4/14 Stochastic Processes PPT PDF
 

If you have any questions that you would like answered over email, please direct them to cs1114-staff-l@lists.cs