Students who are taking CNS 186 for credit are required to (i) attend lectures regularly, (ii) hand in the four homeworks on time and (iii) complete a project by the end of the term. The lecture schedule can be found here.
The four problem sets will count 8 points each (8%) towards the final grade. Each day that the homework is overdue will reduce the grade of that particular homework by 5%. You do have a total of 5 grace days for all six homeworks combined. Two (but not more) students can collaborate on any homework, but every student is expected to hand in his/her own answers. We do not want to find identical texts nor identical plots. Furthermore, you must acquire your own data for the psychophysical experiments (that is, you need to record the performance of your visual system). Problem sets should be typed.
At the first project presentation, students are expected to give a brief (5-10 minutes) presentation on their chosen project: what is the problem I am trying to attack and how do I propose to solve it. Use 2 (two) slides to make your point. Each project presentation will count for 5 points (5%), and the project paper will count for 58 points (58%) of the final grade. Except by explicit and prior permission of one of the instructors, we expect that each student will work on their own project.
The final letter grade will be based on the problem sets (32%), the project (58%) and the two oral presentations (10%). Class attendance and participation will be used in borderline grade cases. Grades are not normalized (that is, we do NOT grade on a curve). Anything above 90% is an A, between 80 and 90% is a B, between 70 and 80% is a C and between 50 and 70% is a D (with appropriate +/- gradations). Eligible students can take the class on a pass/fail basis (you need 50% of the points to pass). All students, whether taking the course on grades or pass/fail, must hand in the six homework assignments, attend the project presentations and submit a project in order to receive a passing grade for this twelve unit class.
The final report is due on March 18, 2008 by 8:00 pm. It should be 4-8 pages in length and should introduce the problem, outline the methods used in the project and describe the results (with ample illustrations included). Do use LaTeX, MS Word or another type-setting program. Project reports are to be turned in electronically; hard copies will not be accepted. These reports have to be handed in on time as grades are due in the registrar's office a few days later. Please plan accordingly.
The project will be graded as follows:
klab.caltech.edu (please ask the TAs to subscribe you to the list).
Vision Science, by Stephen Palmer, MIT Press
(1999)
Recommend for students interested in computer vision:
Computer Vision: A Modern Approach, D.A. Forsyth, J. Ponce,
Prentice Hall ( 2002)
In terms of general textbooks, we recommend
the following:
Basic Vision - an introduction to visual perception, by R. Snowden, O Thompson and T. Troscianko (2006)
Computational Models of Visual Processing,
edited by M.S. Landy and J.A. Movshon. MIT Press (1991).
Div, grad, curl and all that. An informal text on
vector calculus by H.M. Schey. Norton (1992)
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