Differences

This shows you the differences between two versions of the page.

--- syllabus [2017/09/04 18:25] – wildes
+++ 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.
@@ Line 11: / Line 11: @@
    * Image representation
    * Feature detection
+   * Image Understanding
    * Stereopsis
    * Motion analysis
@@ Line 32: / Line 33: @@
 == Instructor ==
-  * [[http://www.cse.yorku.ca/~wildes|Richard P. Wildes]]
+  * [[http://www.cse.yorku.ca/~calden|Calden Wloka]]
-    * Office: LAS 3032
+    * Office: LAS 3001
-    * Office hours: TBA
+    * Office hours: M,W 15:00-16:00 in LAS1004
-    * Email: wildes@cse.yorku.ca
+    * Email: calden@cse.yorku.ca
 == Teaching Assistant ==
-  * TBA
+  * [[https://sites.google.com/view/abdullah-abuolaim/home|Abdullah Abuolaim]]
-    * Office: TBA
+    * Office: LAS 2052
-    * Office hours: TBA
+    * Office hours: N/A
-    * Email: TBA
+    * Email: abuolaim@eecs.yorku.ca
 In order to ensure timely responses to e-mails, please include EECS4422/5323 in the e-mail subject line and include your CSE account number and student number in the body of the e-mail. E-mails lacking such information are unlikely to receive timely or useful response.
@@ Line 48: / Line 49: @@
 ==== Textbooks ====
-The required textbook for this course is
+The recommended textbook for this course is
 Computer Vision Algorithms and Applications
@@ Line 62: / Line 63: @@
     * 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 reading in the Textbook. Additional reading may be required and 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.
-    * 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 will appear here shortly.<html> <!--
-Documentation of the lab facilities are available [[http://www.eecs.yorku.ca/course_archive/2013-14/F/4422/lab.html|here]]. --></html>
     * 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.
     * Tests: The only test associated with this course will be a mid-term exam to be given in class, closed book.
@@ Line 82: / Line 81: @@
     * 30% - Assignments: 2 assignments; 15% each.
-    * 33% - Tests: 1 mid-term exam
+    * 30% - Tests: 1 mid-term exam
-    * 37% - Project: 4 components
+    * 40% - Project: 5 components
-        * 2% - White Paper
+        *  2% - White Paper
-        * 11% - Proposal
+        *  8% - Proposal
         *  5% - Site Visit
-        * 19% - Final Demo
+        *  7% - Demo
+        * 18% - Final Report
 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.