PhD Human-Centered Computing – Program of Study

The HCC coursework requirement consists of three major parts: the core classes, a specialization, and a minor.

The core classes form the foundation of the knowledge necessary for this program. Students must have at least one A and at most, two B's in the core courses.

Students must take three electives: two from the area of HCC specialization -- such as the Cognitive Science, Human-Computer Interaction, or the Learning Sciences and Technologies -- and one from another area, for a total of at least nine semester hours. These courses provide students with depth of knowledge in their chosen fields and a breadth of knowledge in another area of computing.

The minor consists of nine semester hours of classes from outside the College of Computing. The nine hours must form one coherent area of study.

In the program, there are four required competencies that must be demonstrated prior to or during the qualifying exam. The competencies are:

  • Computing concepts and skills
  • Evaluation of human-centered systems
  • Written research communication
  • Oral research communication

Required Program of Study

Required Courses
  • CS 6451 Introduction to Human-Centered Computing
  • CS 6452 Prototyping Interactive Systems
  • CS 7455 Issues in Human-Centered Computing
Seminars
  • CS 8001 Human-Centered Computing Concepts
  • CS 8002 Advanced Seminar in HCC (each subsequent Spring Semester)
Minor

Georgia Tech requires all Ph.D. students to complete a coherent minor of nine credit hours outside the major area. Several possible minors are listed here. Some courses listed here could also be taken as electives. Students should choose minor courses in consultation with their advisors and with the approval of the HCC faculty committee.

Industrial Design

  • ID 6101 Human-Centered Design
  • ID 6200 Graduate Studio I
  • ID 6201 Graduate Studio II

Industrial and Systems Engineering, Option 1:

  • ISyE 6205 Cognitive Engineering
  • ISyE 6215 Models in Human-Machine Systems
  • ISyE 6234 Measurement and Evaluation of Human-Integrated Systems

Industrial and Systems Engineering, Option 2:

  • ISyE 6223 Understanding and Supporting Human Decision Making
  • ISyE 6215 Models in Human-Machine Systems
  • ISyE 6234 Measurement and Evaluation of Human-Integrated Systems

Literature, Communication and Culture, Option 1

  • LCC 6316 Historical Approaches to Digital Media
  • LCC 8000 Proseminar in Media Theory
  • LCC 8001 Digital Media Studies

Literature, Communication and Culture, Option 2

  • LCC 6318 Experimental Media
  • LCC 6321 The Architecture of Responsive Spaces
  • LCC 6650 Project Studio: Augmented Reality

Literature, Communication and Culture, Option 3:

  • LCC 6215 Issues in Media Studies: Game Design as a Cultural Practice
  • LCC 6317 Interactive Fiction
  • LCC 6650 Project Studio: Game Design

Psychology, Option 1:

  • PSYC 6011 Cognitive Psychology
  • PSYC 6012 Social Psychology
  • PSYC 6014 Sensation and Perception

Psychology, Option 2:

  • PSYC 6018 Principles of Research Design
  • PSYC 6019 Statistical Analysis of Psychological Data I
  • PSYC 7101 Engineering Psychology I: Methods

Public Policy:

  • PUBP 6014 Organization Theory
  • PUBP 6421 Development of Large-scale Socio-technical Systems
  • PUBP 8803 Special Topics: The Internet and Public Policy
Electives

This is a partial list, identified by the HCC committee. Courses listed in the possible minor fields of study may also be acceptable unless used to satisfy the minor requirement. Many other courses in the CoC and the other five Georgia Tech colleges are also acceptable. Students should choose electives in consultation with their advisors and with the approval of the HCC faculty committee.

Artificial Intelligence

  • CS 6010 Principles of Design
  • CS 6601 Artificial Intelligence
  • CS 7461 Machine Learning
  • CS 7495 Computer Vision
  • CS 7610 Modeling and Design
  • CS 7611 AI Problem Solving
  • CS 7613 Knowledge Systems Engineering
  • CS 7620 Case-based Reasoning
  • CS 7631 Multi Robot Systems
  • CS 7650 Natural Language
  • CS 8803 Knowledge-Based AI
  • CS 8803 FIN Machine Learning for Trading
  • CS 8803 BHI Introduction to Behavior Imaging
  • CS 8803 GAI Game AI

Cognitive Science

  • CS 6795 Introduction to Cognitive Science
  • CS 7695 Philosophy of Cognition
  • CS 7697 Cognitive Models of Science and Technology
  • CS 7790 Cognitive Modeling
  • CS 8795 Colloquium in Cognitive Science
  • CS 8893 Special Topics in Cognitive Science: Cognition and Culture

Collaboration

  • CS 6470 Design of Online Communities
  • CS 7460 Collaborative Computing

Human-Computer Interaction

  • CS 6455 User Interface Design and Evaluation
  • CS 6456 User Interface Software
  • CS 6750 Human-Computer Interaction
  • CS 7450 Information Visualization
  • CS 7470 Mobile and Ubiquitous Computing
  • CS 8803 Human Robot Interaction
  • CS/INTA 8803 Computers, Communications & International Development (please enroll using the CS course code)

Information Security

  • CS 6725 Information Security Strategies and Policy

Learning Sciences and Technology

  • CS 6460 Educational Technology: Conceptual Foundations
  • CS 7465 Educational Technology: Design and Evaluation
  • CS 7467 Computer-Supported Collaborative Learning
  • CS 8803 CS Education Research
  • CS 8893 Special Topics in Cognitive Science: Cognition and Culture

Social Computing

  • CS 6465 Computational Journalism
  • CS 6470 Design of Online Communities
  • CS 7460 Collaborative Computing
  • CS 8893 Special Topics in Cognitive Science: Cognition and Culture

Software

  • CS 6456 Principles of User Interface Software
  • CS 7470 Mobile and Ubiquitous Computing
  • CS 7497 Virtual Environments
  • CS 7697 Cognitive Models of Science and Technology
  • CS 8803 Handheld AR Game Design

Software Engineering

  • CS 6320 Software Requirement Analysis and Specification

Visualization

  • CS 6480 Computer Visualization Techniques
  • CS 6485 Visualization Methods for Science and Engineering
  • CS 7450 Information Visualization

Qualifying Examination (or comprehensive examination)

The purpose of the qualifying examination is for the student to demonstrate:

  • Mastery of a body of knowledge relevant to the general area within which the student expects to conduct research.
  • The ability to integrate material from different domains, such as from the human sciences and computing.
  • An understanding of the processes and concepts used to develop the work products included in any portfolios submitted to demonstrate competencies.
  • Any of the four competencies not previously demonstrated.

The "body of knowledge" will be defined by a reading list developed by the HCC faculty for each area of study within HCC. Typical areas would include artificial intelligence, cognitive science, computer-supported collaborative work, evaluation methodologies, information security, information visualization, interaction technologies, learning sciences and technology, software, psychology, and virtual worlds. Click here to view the body-of-knowledge list for the various areas comprising the HCC Ph.D.

The student must pass the qualifying examination within six semesters of entering the program. The student must take the examination for the first time no later than during the fifth semester and may retake a failed examination once, within one year.

The qualifying examination consists of written and oral parts and is administered by a faculty committee selected by the advisor in consultation with the student. The committee consists of:

  • Three HCC faculty members.
  • The student's thesis advisor as a non-voting participant.

Dissertation

The student should choose their dissertation advisors by the beginning of their second year in the program.

Proposal and Dissertation Committee Composition instructions.

Institute Rules

http://www.gradadmiss.gatech.edu/thesis/policies/advisory_committee.pdf

HCC Specific Requirements

Dissertation

The student should choose a dissertation advisor by the beginning of the second year of being in the Ph.D. program.

Dissertation Proposal: The student presents and defends a written Ph.D. proposal to a committee of four faculty members, as follows:

  • Three from the HCC faculty, including the advisor.
  • One from another academic unit on campus (typically the minor field) or an external committee member

After the proposal is accepted, the student is expected to initiate a meeting with the committee at least once a year to review research progress.

Dissertation Defense: The dissertation, when completed, must be publicly defended before a dissertation advisory committee of the above four individuals plus one more member. If all four members of the proposal committee are affiliated with Georgia Tech, that fifth member MUST be from another University. If not, a fifth member from the Institute, but from another academic unit on campus or a second external may be added. It is expected that the dissertation results will be published in peer-reviewed journals and conferences.

Residency Requirement

"Doctoral students must spend at least two full-time semesters in residence at the Georgia Institute of Technology and ordinarily must complete research for the dissertation while in residence" (Georgia Tech 2009-10 General Catalog).