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syllabus [2017/08/20 19:34] wildessyllabus [2017/09/14 13:06] (current) wildes
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   * [[http://www.cse.yorku.ca/~wildes|Richard P. Wildes]]   * [[http://www.cse.yorku.ca/~wildes|Richard P. Wildes]]
-    * Office: LAS 3016  +    * Office: LAS 3032  
-    * Office hours: TBA+    * Office hours: MF 10:30AM-noon
     * Email: wildes@cse.yorku.ca     * Email: wildes@cse.yorku.ca
  
 == Teaching Assistant == == Teaching Assistant ==
  
-  * TBA +  * Soo Kang 
-    * Office: TBA +    * Office: LAS 3002 
-    * Office hours: TBA   +    * Office hours: N/A   
-    * Email: TBA+    * Email: kangsoo@cse.yorku.ca 
 + 
 +  * Hakki Can Karaimer 
 +    * Office: LAS 2052 
 +    * Office hours: N/A 
 +    * Email: karaimer@cse.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. 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.
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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.     * 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.     * 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 will appear here shortly. +    * 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.
-<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.     * 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.     * Tests: The only test associated with this course will be a mid-term exam to be given in class, closed book.
     * Project: Students will be expected to complete a "hands on" computer vision project. Details can found under the Project link in the side bar.     * Project: Students will be expected to complete a "hands on" computer vision project. Details can found under the Project link in the side bar.
 +
 +==== Course Learning Outcomes ====
 +
 +    * Explain the basic terms, concepts and applications of computer vision, including reference to at least one real-world system. 
 +    * Apply basic mathematical techniques to solve problems in computer vision.
 +    * Develop software to solve problems in computer vision.
 +    * Analyze the effects of noise in computer vision algorithms and use appropriate techniques to reduce its effects
 +
  
 ==== Grading ==== ==== Grading ====
syllabus.1503257661.txt.gz · Last modified: 2017/08/20 19:34 by wildes