CS 335 – Graphics and Multimedia

https://aaz-imran.github.io/teaching/2023-fall-cs335

Syllabus

Time: MWF 3:00 pm – 3:50 pm
Location: Register course to know

Course Instructor: Dr. Abdullah-Al-Zubaer Imran
Office: 319 Marksbury
Office Hours: Wednesdays 9 am – 11 am, and by appointment.

Teaching Assistant: Matthew Wise
Location: Engineering Annex 2nd Floor
Office Hours: Thursdays 12 pm – 1 pm

Course Description:
This course focuses on the graphical human-machine interface, covering the principles of windowing systems, graphical interface design and implementation, and processing graphical data. There is an emphasis on medium-scale programming projects with graphical user interfaces using a high-level procedural programming language and concepts such as object-oriented design.

Course Outcomes:
Upon completion of this course, students will be able to:

• Understand the principal technical elements of computer graphics, image processing, and user interface design
• Build computer programs that manipulate images, use computer graphics operations, and provide a user interface
• Learn Python programming and relevant packages for graphics and image processing
• Comprehend the relevance and importance of computer graphics, image processing, and user interface design in the context of computer science as a vocation

Prereqs:
Course prerequisite: CS 216 – Intro to Software Engineering Techniques.
Good to have: Familiarity with basic linear algebra and vector calculus, knowledge of programming at an intermediate level.

Required books:
There is no required textbook for CS 335.

Recommended books:

• Fundamentals of Computer Graphics
  Steve Marschner and Peter Shirley, A K Peters/CRC, 2021.

• Digital Image Processing
  Rafael C. Gonzalez and Richard E. Woods, Pearson, 2019

• Create GUI Applications with Python
  Martin Fitzpatrick, 2022

Course Schedule/Outline:

Course Activities:

• Class performance (10%) – Class participation and activities
• Assignments (30%) – three math/programming assignments
• Team project (30%) – GUI application for graphics/image processing
• Midterm (10%) – a written midterm exam
• Final (20%) – a written final exam

Grading Scale:
After the final percentage grade is calculated, the following scale will be used to determine the final letter grade.

• 90–100% (A)
• 80–89% (B)
• 70–79% (C)
• 60–69% (D)
• 0–59% (E)

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Academic Integrity: Please strictly follow the Academic Offenses Rules (plagiarism, cheating, and falsification or misuse of academic records). Also, keep in mind that any copyrighted materials (e.g., images and other media), and published contents (e.g., academic papers, books, web sources, online tools) used in your submissions and project should be properly cited. Ideas from people other than your own (for the project—ideas from outside your group) should be acknowledged.

Generative AI Policy: GenAI tools such as ChatGPT may be used in this course for the purposes of pre-submission activities. However, students are responsible for submitting work that meets the assignment standards for quality and factual accuracy. Check Canvas page for more detailed instructions on this. If you have any questions or concerns about the policy, contact the instructor before submitting any assignments.

Late Policy: Late submissions of assignments will be subject to a 50% score penalty if you submit within 2 days after the deadline. A score of 0 will be given for any submissions after that. Late submissions will be accepted only for certain circumstances (e.g., medical) with proper evidence. Exceptions to this rule may be requested by providing appropriate documentation (e.g., medical) which will be considered at the discretion of the instructor.

Disability and Special Accommodation: Please let the instructor know of any needed accommodation in the first two weeks. Please also see Academic Accommodation for further assistance.

Academic Policy Statements, DEI, Resources Available to Students

Useful Resources:

• UK Libraries
• Free tutoring and coaching at UK
• Google Scholar