Introduction to Perception and Robotics

Georgia Tech CS 3630 Spring 2022 edition

Syllabus

Learning Objectives

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

Prerequisites

The only formal prerequisite is CS1332 Data Structures & Algorithms. Prior knowledge of fundamentals of linear algebra and probability is helpful, but not required. Background in AI and Machine Learning is not assumed. The course requires access to a laptop. If you don’t have access to a laptop, please contact the instructor ASAP. All programming assignments will be completed in Python.

Lecture Delivery and Grading Components

Important: You cannot take this class unless you can make the regularly scheduled class periods at 3.30pm.

Grading

The grading distribution is:

Component Nr. Grade Total
Questionnaires - - 10%
Quizzes 5 6% 30%
Projects 6 10% 60%
      100%

Project Late Policy

The late policy for projects is to linearly decrease the maximum score from 100 to 0, starting at the submission deadline (Friday, 23:59:59) and ending the following Monday, 23:59:59. Thus, the maximum possible score decreases continuously from 100 to zero over the 72 hour period following the submission deadline (e.g., if you submit your project exactly 29 hours and 30 minutes late, you would have a maximum possible score of 59.02777777777778%).

Academic Integrity

Academic dishonesty will not be tolerated. This includes cheating, lying about course matters, plagiarism, or helping others commit a violation of the Honor Code. Plagiarism includes reproducing the words of others without both the use of quotation marks and citation. Students are reminded of the obligations and expectations associated with the Georgia Tech Academic Honor Code and Student Code of Conduct, available online at www.honor.gatech.edu.

You are expected to implement the core components of each project on your own, but the extra credit opportunities often build on third party data sets or code. That’s fine. Feel free to include results built on other software, as long as you are clear in your hand-in that it is not your own work.

You should not view or edit anyone else’s code. You should not post code to Piazza, except for starter code / helper code that isn’t related to the core project.

Learning Accommodations

If needed, we will make classroom accommodations for students with documented disabilities. These accommodations must be arranged in advance and in accordance with the ADAPTS office (www.adapts.gatech.edu).

Contact Info and Office Hours:

Use Piazza to ask questions and seek clarifications. If you have a very specific question (related to your grade etc.) or a question that involves your personal information, you can make a private post on Piazza.

The TA office hours will be announced very soon, along with the location, in a pinned post on Piazza. Hope you know where the 3630 Lab is (that’s right, we have a lab just for 3630!) - in the basement of the College of Computing building. We have some really cool fairy lights and a large television screen. Do come for our TA hours and get all your doubts clarified!

Acknowledgements

The materials from this class rely significantly on slides prepared by other instructors. Each slide set and assignment contains acknowledgements. Feel free to use these slides for academic or research purposes, but please maintain all acknowledgements.