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Date: Thu, 11 Aug 2022 20:08:39 +0000
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From: Jamie Hayes <[log in to unmask]>
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Dear CS Undergraduate Students

I am Ashwin Ashok, a faculty member in the department of Computer Science at GSU. I am offering this course Introduction to Computer Vision in Fall 2022 under the Topics of Computer Science CS 4980 course. If you are interested in a fully hands-on course this is the one for you. Whether you are preparing to research in computer vision or look for a career computer vision or just simply interested to learn something new, this is the course for you! Please find the attached flyer and highlights about the course listed below:

1. Fully hands-on: you will learn computer vision by developing computer vision applications

2. No EXAMS: as with my other courses, there will be no midterm or final examination. The course will be divided into modules and each module has its assignment submission (yes, the assignments will be a mix of theory and programming)

3. The course will use Python as the base programming language. Prior knowledge of Python is not mandatory; however, the first part of the course will require refreshing of basic Python. There will be flexibility allowed if you choose to program in C/C++. No JAVA however.

4. Learn at your own pace: the nature of the instruction will allow you to learn at your own pace. In class we will cover the fundamental concepts of computer vision in that specific module. The assignments will serve as the testing material. All learning materials will be provided online. The modules assignment submission deadlines will be cautionary and not mandatory. If you are taking more time for a specific module, it is OK. I care about you learning the material properly. However, only when you make your submission within stipulated deadlines can me and the TA provide timely feedback.

5. 30min after each class is always office hour time: you can catch me right after each lecture to ask your questions and clarify doubts. Scheduled slots for office hour meetings will need to be scheduled on a case-by-case basis.

6. Bonus: You can gain significant bonus points by also doing a project. The scope of the project will be defined by the instructor. You will have multiple ideas for choice. The reward is a 1 level grade bump.

Feel free to email me if you have questions.


Ashwin Ashok
Director of Mobile and Robotics Systems Experiential Research Lab (MORSE Studio)
Associate Professor and Associate Graduate Director,
Department of Computer Science & Affiliate in Neuroscience
Georgia State University
25 Park Place NE, Suite 734
Atlanta, GA 30303<>