Doctoral Thesis

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
9000
Section:
L05
CRN
80958
Department (you may add up to three):
Instructor first name:
Wenke
Instructor last name:
Lee
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 Topics

Last Updated: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8813
Section:
R01
CRN
89914
Department (you may add up to three):
Instructor first name:
Stephanie
Instructor last name:
Aravecchia
Class Details
Course description:

As part of this class, students will learn about the methodology of conducting a research project on practical use-cases in the field of machine learning, image processing, robotics or computer vision, from the bibliography to the final abstract preparation and conference presentation. The students will select a research project among those proposed by the academic team, which will either be the replication of a research paper, the application of a state-of-the-art methodology to a known problem, or the design of a new solution to a known problem from the state-of-the-art. From this project, the students will start with surveying the state-of-the-art, then designing a methodology to solve the problem (or replicate the results), learning to implement this methodology, and lastly learning how to evaluate and present the results. Finally, the students will prepare a small abstract summarizing their research, and we will organize a small conference-like session where the students will review each-other’s paper and present their work.

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: Tue, 03/31/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CSE
Course number:
8903
Section:
Q2
CRN
90169
Department (you may add up to three):
Instructor first name:
Elizabeth
Instructor last name:
Qian
Class Details
Course description:

Small-group or individual investigation of advanced topics with a faculty member.

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

Undergraduate Research

Last Updated: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
4699
Section:
P14
CRN
83990
Department (you may add up to three):
Instructor first name:
Cedric
Instructor last name:
Pradalier
Class Details
Course description:

Independent research conducted under the guidance of a faculty member.

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

Undergraduate Research

Last Updated: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
4699
Section:
D16
CRN
88229
Department (you may add up to three):
Instructor first name:
Alexandros
Instructor last name:
Daglis
Class Details
Course description:

Independent research conducted under the guidance of a faculty member.

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:
Fall
Course prefix:
CS
Course number:
4635
Section:
A
CRN
81908
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

Undergraduate Research

Last Updated: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
2699
Section:
D19
CRN
91403
Department (you may add up to three):
Instructor first name:
Alexandros
Instructor last name:
Daglis
Class Details
Course description:

Independent research conducted under the guidance of a faculty member.

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: Wed, 04/01/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8999
Section:
D19
CRN
87182
Department (you may add up to three):
Instructor first name:
Alexandros
Instructor last name:
Daglis
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

Doctoral Thesis

Last Updated: Mon, 03/30/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
9000
Section:
C12
CRN
85085
Department (you may add up to three):
Instructor first name:
Sonia
Instructor last name:
Chernova
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
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
OCH
CRN
91708
Department (you may add up to three):
Instructor first name:
Christopher
Instructor last name:
Poch
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