Assignments

Assignment 1

• Assignment description.
  • Part 1 posted now.
  • Part 2 posted now.
• Marking guide.
• Due Sunday, Sept 22th by 11:59pm (both parts at once).
• Solutions folder.

Assignment 2

• Assignment description.
• Marking guide.
• Due Tuesday, Oct 8th by 11:59pm.

Assignment 3

• Assignment description.
• Marking guide.
• Input CSV files.
• Due Monday, Oct 21th by 11:59pm.

Assignment 4

• Assignment description.
• Marking guide.
• Due Sun, Nov 10th by 11:59pm.

Project

• Project description
• Starter Kit (initial code)
• Marking guide.
• Submissions:
  • Part 1: develop the module draw.py with image processing functions.
    • Due Friday, November 22nd (usual late policy applies).
    • A sample solution for draw.py will be posted on Tuesday, Nov 26th (immediately after the late-submission period for part 1). You can use this sample draw.py for your Part 2 if you like.
      • SAMPLE SOLUTION TO PART 1: You may use this draw.py in your Part 2 if you like.
  • Part 2 is the complete application.
    • Due Monday, Dec 2nd (usual late policy applies).
  • Submit on CourSys
    • You will need to create a group. If you worked solo then create the group for just yourself. Otherwise invite your partner to your group. Only one submission needed per group.

Policies

• Assignment Late Policy
  Assignments may be turned in up to 3 days late with 0% penalty. Later than this is 100% penalty (60 minute grace period). Contact the instructor if there are extenuating circumstances.
• Extensions and Deferrals
  Email Dr. Brian if you need an extension or deferral. He may ask for you to then completed the SFU Academic Concession Self-Declaration Form. Doctor's notes are not required this semester if sick.
• Academic Honesty
  • The MOSS tool will be used to check the originality of all electronic submissions.
  • SFU's Academic Honesty policy is crucial to earning credit in this course. Violations of the policy will be taken seriously and reported to the department and university.
  • Explanation of penalties applied for academic dishonesty.
• AI Tools
  • You may use any AI tool to help you write code for all assignments and labs.
  • If use use an AI tool, you must mention it in your code, such as putting the following comment at the top of your file:
    // Used help from Copilot and ChatGPT to write this code.
  • There is no deduction for using AI tools; however, it is expected that students who use the AI tool too much will not learn enough of the course material to pass the course.
  • See course info page for more details.