CS 6601: Artificial Intelligence

Course Creator and Instructor

Thad Starner
 
Thad Starner
Creator, Instructor
 

Teaching Assistants

Shelly Bagchi
 
Shelly Bagchi
Lead Teaching Assistant
 
Saurabh Agarwal
 
Saurabh Agarwal
Teaching Assistant
 
Ashita Prasad
 
Ashita Prasad
Teaching Assistant
 
Murtaza Dhuliawala
 
Murtaza Dhuliawala
Teaching Assistant
 

Overview

Students should be familiar with college-level mathematical concepts (calculus, analytic geometry, linear algebra, and probability) and computer science concepts (algorithms, O notation, data structures). In addition to this, students should have working knowledge of computer programming; the course will focus on using Python for its programming assignments.

Prerequisites

Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.

Please review the following questions, if you answer “no” to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:  

  • Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?
  • Have you taken several classes that required intensive programming?
  • Have you taken algorithms and data structures courses?
  • Are you prepared to spend at least 9 hours a week on this class?

Grading

  • Course Assignments - You will be given a number of assignments to complete throughout the duration of the course. All assignments will be due on Sundays at midnight, AOE (GMT-12, or Mondays at 7 am ET). The top N-1 of the N assignments will be counted for 60% of the final grade. Late assignments will not be accepted without permission from the Dean of Students.
  • Quizzes - There will be a number of quizzes available for you to complete to test your knowledge of the material taught in the course. However, quizzes are for your use only and will not be included in the course grade.
  • Exams - There will be a midterm and final exam, each 20% of the course grade.

We will be using Piazza as a forum for this course. Please submit all course-related questions to Piazza and we (or other students) will respond as soon as possible. We require that you read all Piazza posts in order to not miss out on important information about the course.

Required Course Readings

The textbook we will be using is Artificial Intelligence: A Modern Approach (AIMA, Third edition) by Stuart Russell and Peter Norvig. Note there is a much cheaper CourseSmart edition for “rent”.

Minimum Technical Requirements

Your system must be able to install the latest release of Python 2.7. Please check the official documentation for more information.

Other Info

Office Hours

Additional information about the course, including office hours and assignment information will be posted by the instructor on Piazza on or before the first day of class. You may see more information about previous offerings of the course on the course website.   All office hours will be held using Cisco Webex. Log in using your Georgia Tech account information. Please note that this method may not be supported on Linux, so please contact the TAs if you are not able to use Webex.

Academic Honesty

All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code