Compgen Tool Suite

Course News:

November 25, 2008: The mini-projects have been posted
October 20, 2008: The Quiz has been rescheduled for Oct. 23
October 18, 2008: Problem set #2 solution has been released.
October 12, 2008: Problem set #1 solution has been released.
October 8, 2008: A new version of problem set #2 has been posted with several typos fixed.
September 15, 2008: Problem Set 1 corrections:; Problem 4 E), replace the original one with; Problem 6 B), replace the word "row" with "column."; TA's office hours move from Wednesday to Monday (3:00-4:00pm & 4:30-5:30pm) for the next week(Sep. 19) ONLY.
September 14, 2008: Add Python installation instructions in the resources section.
August 29, 2008: The Website is finally on-line.

Course Staff:

Lectures:		Leonard McMillan
Phone:		919-962-1778
Email:
Office:		SN319, Sitterson Hall
Office Hours:		TBA

Teaching Assistant:		Yu-Hsien (Michael) Su
Phone:		919-962-1863
Email:
Office:		SN307, Sitterson Hall
Office Hours:		R 3:00-5:00pm (+W 3:00-5:00pm in the week of homework due)

Grading:

4 problem sets:		40%
2 Quizzes:		40%
Mini Project		20%

Problem sets are due at the specified class meeting (before lecture). You will have at least two weeks to complete each set. Late problem sets will be penalized as follows:

Days Late		Max Score
1	=	70%
2	=	50%
3	=	35%
>3	=	0%

Lecture Slides:

Lecture 1: Introduction and Signals
Lecture 2: System Properties
Lecture 3: Convolution
Lecture 4: Real and Special Signals
Lecture 5: Fourier Series and Transforms
Lecture 6: Frolicking Fourier Fun
Lecture 7: Fourier Filtering
Lecture 8: Fourier Pairs and Sampling
Lecture 9: Reconstruction & Interpolation
Lecture 10: Image Resizing
Lecture 11: Image Transforms & Warps
Lecture 12: Scan Converting Triangles
Lecture 13: Hidden Signals in Data
Lecture 14: Linear Dimensionality Reduction
Lecture 15: Non-Linear Dimensionality Reduction
Lecture 16: Color Topics
Lecture 17: Vector Quantization
Lecture 18: Curves and Splines
Lecture 19: Tensor Decomposition
Lecture 20: Wavelets & Multiresolution Analysis
Lecture 21: Scattered-Data Interpolation

Problem Sets:

Problem Set #1	Handout Mandrill Image Box Image Unit Sample	Solutions
Problem Set #2	Handout Mandrill Image	Solutions
Problem Set #3	Handout	Solutions
Problem Set #4	Handout Mandrill Tiny Image 256 x256 Gray Mandrill Image	Solutions

Resources:

Python Installation Instructions