Special Problems

Last Updated: Mon, 03/30/2026
Syllabus
8903-Fall.pdf (157.82 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
G06
CRN
81423
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Rebecca
Instructor last name:
Grinter
Class Details
Course description:
Small-group or individual investigation of advanced topics in computing. Guided study and research.
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

Robo Capstone Project

Last Updated: Mon, 03/30/2026
Syllabus
CS8741_Ravichandar_Harish.pdf (188.06 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8741
Section:
R20
CRN
88798
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Harish
Instructor last name:
Ravichandar
Class Details
Course description:
Teams or individuals apply the knowledge and skills acquired throughout the MS program to a faculty supervised robotics project.
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

ML For Robotics

Last Updated: Wed, 04/01/2026
Syllabus
course_syllabus_cs7644 - Fa23_0.pdf (141.97 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
7644
Section:
R1U
CRN
90232
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Cedric
Instructor last name:
Pradalier
Class Details
Course description:

Overview of a portfolio of machine learning techniques useful for robotic application: from regression to deep learning, applied on simulated real-time mobile robotic applications.

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

Data Vis Principles

Last Updated: Wed, 04/01/2026
Syllabus
CS6730.pdf (58.32 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6730
Section:
A
CRN
87844
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Yalong
Instructor last name:
Yang
Class Details
Course description:

Introductory course on design principles and applications of data visualization. This course teaches best practices for visualizing datasets from diverse domains intended to help people make sense of data. Students cannot receive credit for both CS 6730 and CS 4460.

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

Artificial Intelligence

Last Updated: Tue, 03/31/2026
Syllabus
CS6601_Ploetz_Thomas_0.pdf (54.29 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6601
Section:
A
CRN
83081
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Thomas
Instructor last name:
Ploetz
Class Details
Course description:

Basic concepts and methods of artificial intelligence including both symbolic/conceptual and numerical/probabilistic techniques.

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

Doctoral Thesis Prep

Last Updated: Mon, 03/30/2026
Syllabus
CS8999_M24_Doctoral_Thesis_Prep_Fall2026.pdf (18.75 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8999
Section:
M24
CRN
88939
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Christopher
Instructor last name:
MacLellan
Class Details
Course description:
Placeholder
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 the Student Code of Conduct

and the Academic Honor Code, especially Appendix A: Graduate Addendum to the Academic Honor

Code.

Students are expected to perform research in an ethical and responsible manner. All Doctoral and

Master’s Thesis students are required to take the Responsible Conduct of Research training, and it is

expected that students abide by the principles taught in that training while performing research for

this thesis course.

Allegations of scientific or scholarly misconduct are handled in accordance with the procedures

outlined by the Policy for Responding to Allegations of Scientific or Other Scholarly Misconduct.

Administrative Data
Course status
Active

HCI Master's Project

Last Updated: Mon, 03/30/2026
Syllabus
MS Thesis HCI.pdf (55.27 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6998
Section:
H20
CRN
90038
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Josiah
Instructor last name:
Hester
Class Details
Course description:
Placeholder
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

Master's Thesis

Last Updated: Mon, 03/30/2026
Syllabus
Syllabus - CS 7000 - G13.pdf (548.59 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
7000
Section:
G13
CRN
86290
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Matthew
Instructor last name:
Gombolay
Class Details
Course description:
Placeholder
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

Special Problems

Last Updated: Mon, 03/30/2026
Syllabus
Special Problems 8903 Duke Syllabus - D17 - Fall 26.pdf (49.27 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
D17
CRN
87277
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Jon
Instructor last name:
Duke
Class Details
Course description:
Small-group or individual investigation of advanced topics in computing. Guided study and research.
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

Computer Vision

Last Updated: Wed, 04/01/2026
Syllabus
course_syllabus_cs6476_0.pdf (95.72 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6476
Section:
RMZ
CRN
89083
Department (you may add up to three):
Dept/Computer Science
Instructor first name:
Cedric
Instructor last name:
Pradalier
Class Details
Course description:

Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding. Credit not awarded for both CS 6476 and CS 4495 or CS 4476.

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
Parent
Computer Vision
Course status
Active
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