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--- syllabus [2019/09/03 18:40] – calden
+++ syllabus [2019/09/20 01:00] (current) – calden
@@ Line 3: / Line 3: @@
 ==== Description ====
-This course introduces the fundamental concepts of vision with emphasis on computer science and engineering. In particular, the course covers the image formation process, image representation, feature extraction, stereopsis, motion analysis, 3D parameter estimation and applications. A vision laboratory is available where students can gain practical experience.
+This course introduces the fundamental concepts of vision with emphasis on computer science and engineering. In particular, the course covers the image formation process, image representation, feature extraction, image understanding, stereopsis, motion analysis, and applications. A vision laboratory is available where students can gain practical experience.
 Specific topics to be covered in this course include the following.
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 == Teaching Assistant ==
-  * Abdullah Abuolaim
+  * [[https://sites.google.com/view/abdullah-abuolaim/home|Abdullah Abuolaim]]
     * Office: LAS 2052
     * Office hours: N/A
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     * Lectures: Students will be held responsible for all material covered in lectures. Lecture notes will be posted incrementally on this website; see the Schedule link on the side bar to this page.
-    * Assigned Readings: Students will be held responsible for all material assigned as readings. Copies of relevant material will be made available, as necessary. Reading assignments will be posted incrementally on this website; see the Schedule link on the side bar to this page.
     * Labs: Students will be held responsible for all material presented in labs. Labs will provide students with hands-on activities that complement the lecture and reading materials. Documentation of the lab facilities are available [[http://www.eecs.yorku.ca/course_archive/2017-18/F/4422/Lab/EECS4422Lab.html|here]]. Note that to make use of the cameras, lenses and tripods during non-scheduled lab times, you need to check them out from the lab monitor.
     * Assignments: Two assignments for the students to complete and hand in will be required; details will be posted incrementally on this website; see the Schedule link on the side bar to this page.
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 Each piece of work will be assigned a numeric grade. A final numeric grade will be computed using the weighting given above. The final letter grade will be determined from the numeric score using the standard Computer Science and Engineering mapping.
+==== Submission of Work ====
+Work which is not presented in class and which does not consist of code may be submitted either electronically via email (please format the subject line as: EECS [4422/5323]: [Assignment Title] Submission, where values in brackets are replaced by the appropriate argument) or in person in class or during my office hours. Unless otherwise specified, all work is due by 23:59 EST on the due date (though note that hard-copy submissions must be given to me by the end of my office hour). Electronic submissions should be in PDF format with a title consisting of [Student Last Name]_[Assignment Title], and will be returned electronically.
+Code submissions must be submitted electronically, and should sent in the form of a zip file with the name consisting of [Student Last Name]_[Assignment Title]_Code, where values in brackets are replaced by the appropriate argument.
+Late assignments will have a late penalty of 15% per day assigned for the first three days, after which it may no longer be submitted for a grade.