Master's Thesis

Last Updated: Mon, 03/30/2026
Syllabus
MS Thesis CS.pdf (54.54 KB)
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
7000
Section:
OJH
CRN
93460
Department (you may add up to three):
Instructor first name:
Josiah
Instructor last name:
Hester
Catalog Description
Placeholder
Administrative Data
Course status
Active

Special Problems

Last Updated: Mon, 04/13/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
OMD
CRN
91741
Department (you may add up to three):
Instructor first name:
Munmun
Instructor last name:
De Choudhury
Catalog Description

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Administrative Data
Course status
Active

Special Problems

Last Updated: Sat, 04/11/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
OSV
CRN
89882
Department (you may add up to three):
Instructor first name:
Santosh
Instructor last name:
Vempala
Catalog Description

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Administrative Data
Course status
Active

Special Problems

Last Updated: Thu, 04/16/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
OTP
CRN
91390
Department (you may add up to three):
Instructor first name:
Thomas
Instructor last name:
Ploetz
Catalog Description

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Administrative Data
Course status
Active

Special Problems

Last Updated: Tue, 04/14/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
B26
CRN
88356
Department (you may add up to three):
Instructor first name:
Spencer
Instructor last name:
Bryngelson
Catalog Description

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Administrative Data
Course status
Active

Special Problems

Last Updated: Tue, 04/14/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8903
Section:
OAB
CRN
90029
Department (you may add up to three):
Instructor first name:
Amy
Instructor last name:
Bruckman
Catalog Description

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Administrative Data
Course status
Active

Special Topics

Last Updated: Tue, 04/14/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
8803
Section:
LCS
CRN
92144
Department (you may add up to three):
Instructor first name:
Suguman
Instructor last name:
Bansal
Catalog Description

Special topics of current interest. Treatment of new developments in various areas of computing.

Administrative Data
Course status
Active

Master's Project

Last Updated: Thu, 04/16/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6999
Section:
R12
CRN
82895
Department (you may add up to three):
Instructor first name:
Mark
Instructor last name:
Riedl
Catalog Description

Final project for students completing a master's degree in the College of Computing. Repeatable for multi-semester projects.

Administrative Data
Course status
Active

Master's Project

Last Updated: Mon, 04/13/2026
Syllabus
General Class Information
Academic year:
2026
Semester:
Fall
Course prefix:
CS
Course number:
6999
Section:
S36
CRN
91837
Department (you may add up to three):
Instructor first name:
Ahmed
Instructor last name:
Said Mohamed Tawfik Issa
Catalog Description

Course Description

 

This course provides academic credit for independent studies under the direction of a faculty member. The scope and direction of the studies are determined by the student (or small group of students) in consultation with the course instructor. This is part of the MS project option. Students are expected to finish a total of 9 credit hours of this class to satisfy the project option. The student must obtain advance approval of the project proposal by the CoC faculty advisor and M.S. CS coordinator.

Course Learning Outcomes

 

By enrolling in this course, students will:

 

  1. Gain experience in performing independent studies on topics that are not taught in a formalized course setting. 

Required Course Materials

 

No textbooks or materials are required. Resources for research are determined in consultation with the instructor.

 

Grading Policy

Specified on the course form along with deliverables for the independent study. 

 

This course is graded on a standard letter scale (A – F).

  • A grade of A indicates that the student has made acceptable progress in their research toward degree completion, consistent with the number of thesis credit hours for which the student is enrolled for the semester.
  • A grade of B indicates that the student has made some progress in their research toward degree completion, consistent with the number of thesis credit hours for which the student is enrolled for the semester, yet with some deficiencies such as not meeting expectations regarding deliverables.
  • A grade of C indicates that the student has made some progress in their research toward degree completion, consistent with the number of thesis credit hours for which the student is enrolled for the semester, yet with substantial issues such as missing deliverables, deadlines, etc.
  • A grade of D or below indicates that the student did not meet the expectations for satisfactory performance during the term.

 

Attendance Policy

 

This course does not include scheduled class meetings. The frequency and format of student–faculty contact are determined by mutual agreement and are consistent with the number of credit hours for which the student is enrolled.

 

 

Academic and Research 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.

 

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.

 

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.

 

Core IMPACTS

 

Not applicable

 

Accommodations for Students with Disabilities

 

If you are a student with learning needs that require special accommodation, contact the Office of Disability Services as soon as possible to make an appointment to discuss your special needs and to obtain an accommodations letter.  Please also e-mail me as soon as possible in order to set up a time to discuss your learning needs.

 

Student-Faculty Expectations

 

At Georgia Tech, we believe that it is important to strive for an atmosphere of mutual respect, acknowledgement, and responsibility between faculty members and the student body. The Student-Faculty Expectations articulates some basic expectations that you can  have of me and that I have of you.  Additional information for research-related work is given in The Expectations of Advisors and Advisees. In the end, simple respect for knowledge, hard work, and cordial interactions will help build the environment we seek. Therefore, I encourage you to remain committed to the ideals of Georgia Tech while in this class. 

Administrative Data
Course status
Active