Intro-Artificial Intell

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
3600
Section:
RBR
CRN
58055
Department (you may add up to three):
Instructor first name:
Jennifer
Instructor last name:
Reddig
Class Details
Course description:
An introduction to artificial intelligence and machine learning. Topics include intelligent system design methodologies, search and problem solving, supervised and reinforced learning.
Academic honesty/integrity statement:

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and the student Code of Conduct

Any student suspected of cheating or plagiarizing on a quiz, exam, or assignment will be reported to the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty for violations.

Administrative Data
Course status
Active

DB Sys Concepts& Design

Last Updated: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6400
Section:
O01
CRN
84601
Department (you may add up to three):
Instructor first name:
Leo
Instructor last name:
Christensen
Class Details
Course description:

This course presents an example of applying a database application development methodology to a major real-world project. All the database concepts, techniques and tools that are needed to develop a database application from scratch are introduced along the way when they are needed. In parallel - slightly delayed - learners in the course will apply the database application development methodology, the techniques and the tools to their own major class team project.
In addition to the development methodology, techniques and tools learned in this course will include the Extended Entity Relationship Model, the Relational Model, Relational algebra, calculus and SQL, database normalization, efficiency and indexing. Finally, techniques and tools for metadata management and archival will be presented.

Academic honesty/integrity statement:

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

Plagiarism
Plagiarism is considered a serious offense. You are not allowed to copy and paste or submit materials created or published by others, as if you created the materials. All materials submitted and posted must be your own original work or, on team assignments, the work of your team.  Material generated using AI-based assistance (such as Copilot or ChatGPT) should not be directly used or submitted as original work.  Any background materials you use, including interactions with AI assistants, should be cited.  Use of any previous semester course materials, such as tests, quizzes, homework, projects, videos, completed assignments from previously enrolled semesters, comparable work from a different course, or any other similar materials, is prohibited in this course. 

Academic dishonesty for teamwork
If evidence of plagiarism is discovered on a team submission, all team members will be considered responsible for the offense, therefore, it is important that all team members are vigilant and remove any suspected plagiarized materials prior to submitting a team assignment.  Collaboration between teams is not allowed, and if evidence of this is discovered, will be treated the same as any other form of academic misconduct. 

Prohibitions on sharing your work
To help prevent academic dishonesty, you may not make any of your work from this class publicly available. If we discover that you have, we reserve the right to issue you a final grade of "Incomplete" until you make your work unavailable.

Administrative Data
Course status
Active

Knowledge-Based AI

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
7637
Section:
MAY
CRN
57911
Department (you may add up to three):
Instructor first name:
Christopher
Instructor last name:
MacLellan
Class Details
Course description:
Structured knowledge representation; knowledge-based methods of reasoning and learning; problem-solving, modeling and design.
Academic honesty/integrity statement:

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students

are expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and

the student Code of Conduct.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to

the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty

for violations.

Administrative Data
Course status
Active

Intro Info Visualization

Last Updated: Wed, 04/01/2026
Syllabus
CS4460_0.pdf (64.18 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
4460
Section:
MAY
CRN
57908
Department (you may add up to three):
Instructor first name:
Yalong
Instructor last name:
Yang
Class Details
Course description:

Introduction to principles and techniques of information visualization, the presentation of primarily abstract data to help people understand, analyze and make sense of data. Students cannot receive credit for both CS 4460 and CS 6730.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Administrative Data
Course status
Active

Knowledge-Based AI

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
4635
Section:
MAY
CRN
57910
Department (you may add up to three):
Instructor first name:
Christopher
Instructor last name:
MacLellan
Class Details
Course description:
Structured knowledge representation; knowledge-based methods of reasoning and learning; problem-solving, modeling and design.
Academic honesty/integrity statement:

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students

are expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and

the student Code of Conduct.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to

the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty

for violations.

Administrative Data
Course status
Active

Special Topics

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8803
Section:
ARM
CRN
94104
Department (you may add up to three):
Instructor first name:
Harish
Instructor last name:
Ravichandar
Class Details
Course description:
Special topics of current interest. Treatment of new developments in various areas of computing.
Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Administrative Data
Course status
Active

Interactive Robo Learn

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
7648
Section:
A
CRN
94105
Department (you may add up to three):
Instructor first name:
Matthew
Instructor last name:
Gombolay
Class Details
Course description:
This course combines lectures in CS (Machine and Reinforcement Learning) and CogSci with a research seminar to enable students to develop learning from demonstration systems.
Academic honesty/integrity statement:

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are expected to act according to the highest ethical standards.  For information on Georgia Tech's Academic Honor Code, please visit http://www.catalog.gatech.edu/policies/honor-code/%20or%20http:/www.catalog.gatech.edu/rules/18/. Any student suspected of cheating or plagiarizing will be reported to the Office of Student Integrity. Students are not allowed to use any language model (e.g., CodeLlama, ChatGPT, etc.) to help you with any graded component of this course. The instruction team reserves the right to use automated tools to evaluate student work.

Administrative Data
Course status
Active

Special Topics

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
4803
Section:
GIS
CRN
57906
Department (you may add up to three):
Instructor first name:
Clio
Instructor last name:
Andris
Class Details
Course description:
Courses of timely interest to the profession, conducted by resident or visiting faculty.
Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Administrative Data
Course status
Active

Hum- Center Data Analysis

Last Updated: Mon, 03/30/2026
Syllabus
syllabus.pdf (84.42 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
7451
Section:
A
CRN
94066
Department (you may add up to three):
Instructor first name:
Alexander
Instructor last name:
Endert
Class Details
Course description:
This course covers the role of people in data science and visual data analysis, including cognitive processes, bias, perception, and decision-making theories and frameworks.
Academic honesty/integrity statement:

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and the student Code of Conduct.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty for violations.

Administrative Data
Course status
Active

Health Sensing

Last Updated: Mon, 03/30/2026
Syllabus
HSI_Full_3-2026.pdf (185.43 KB)
General Class Information
Academic year:
2026
Semester:
Summer
Course prefix:
CS
Course number:
4711
Section:
A
CRN
57905
Department (you may add up to three):
Instructor first name:
Alexander
Instructor last name:
Adams
Class Details
Course description:
Through understanding the principles physiology, medical devices and health technologies, we experiment with and design precision health sensing and feedback hardware and software
Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and the student Code of Conduct.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to the Office of Student Integrity, who will investigate the incident and identify the appropriate penalty for violations.

Core IMPACTS statement(s) (if applicable):

N/A

Administrative Data
Course status
Active