Keith J. O'Hara

teaching

CMSC 317

The Computational Image

overview | logistics | schedule | assignments | resources

Class: Tuesday & Thursday 1:30pm-2:50pm (RKC 100)
Office Hours: Monday, Tuesday & Wednesday 11-12pm and by appointment

Textbooks

• Computer Vision: Algorithms and Applications. Szeliski. Springer. 2010.
• Programming Computer Vision with Python. Solem. O'Reilly. 2012.

Grade Breakdown

• Midterms (30%): Two paper & pencil exams
• Assignments (30%): Programming assignments
• Project (20%): Team project worked on for approximately 1/3 of the term
• Quizzes & Homework (20%): Short weekly quizzes, critiques and homework

Policies

• Attend class.
• Be on time.
• Participate.
• Check Google classroom & this course website.
• Come to class prepared. Make sure to have read the required reading BEFORE class.
• Complete all assignments and start early.
• Network outages and other computer problems are not valid excuses for missing deadlines; take this into account in your planning.
• Cooperate, but don't copy.
  • Credit work, including all sources you used from the web, other books, etc.
  • Sharing ideas is encouraged, but blatantly copying work without attribution will be treated as scholastic dishonesty and receive no credit.
  • Be prepared to demonstrate the theory of your program (Peter Naur)
  • Keep your assignment and lab work private, a USB flash drive is recommended.
• In general, no credit will be given for programs that do not compile.
• No late work will be accepted unless an extension is approved two days before the deadline.
• Quizzes and exams cannot be taken late without prior special permission.