Required and Elective Courses

The curriculum is designed to provide all Ph.D. students with a strong foundation in principles critical to the design and evaluation of personal health interfaces.

Five core courses (20 SH) are taken by all students, with an additional practicum (1 SH). All students must also fulfill the programming fundamentals requirement (4 SH) and the statistics fundamentals requirement (3 SH), where some flexibility in course selection allows tailoring based on background and experience. A readings course (4 SH) is taken in the first semester of the third year to assist students with completion of the qualification exam. Two additional research electives (8 SH) are selected based on research interests from the Personal Health Informatics electives list. Students are expected to attend the Personal Health Informatics Seminar Series talks each year as well.

Course Matrix

A minimum of 48 credit hours of coursework beyond a BS is required.

The course requirements and the typical course timeline are shown below. Courses developed uniquely for this program are in bold. Note that CS 5340 and CS 6350 are taught using examples from the health domain.

Year Fall Semester Spring Semester Summer
1 HINF 5200: Theoretical Foundations in Personal Health Informatics (4SH)

CS 5340: Human/Computer Interaction (4SH)

HINF: Personal Health Informatics Seminar Series (0SH) (repeat all semesters)
Programming Fundamentals Requirement (e.g., CS 5010: Program Design Paradigms, CS 5520: Mobile Application Development) (4SH)

CS 6350: Empirical Research Methods (4SH)

HINF: Personal Health Informatics Usability Evaluation Practicum (1SH)
Internship or funded research project
2 HINF 5300: Personal Health Interface Design & Development (Part 1 of 2) (4SH)

Statistics Fundamentals Requirement (3SH) (e.g., PHTH 5210 Biostatistics in Public Health, PHTH 6210 Applied Regression Analysis, CAEP Intermediate Statistical Data Analysis Techniques, CAEP 7716 Advanced Research and Data Analysis (II))
HINF 5301: Personal Health Technologies: Field Deployment and System Evaluation (Part 2 of 2) (4SH)

CS 8982 Reading Course (4SH) [Complete qualification exam]
Internship or funded research project
3 Personal Health Informatics Elective (4SH)

Dissertation (4SH)
Personal Health Informatics Elective (4SH)

Dissertation (4SH)
Internship or funded research project
4 Dissertation Continuation [Dissertation proposal defense] Dissertation Continuation Internship or funded research project
5 Dissertation Continuation Dissertation Continuation [Dissertation Defense]

Elective List

Electives are used to build skills in a student’s particular area of research and can be selected from the following categories. Specific courses not on the list below must be approved by the Personal Health Informatics Doctoral Program faculty.

Category Example Courses
Informatics HINF 6205 Knowledge Management in Health Care (3 SH), NRSG 5101 Computer and Nursing Informatics (3 SH)
Epidemiology NRSG 5121 Epidemiology and Population Health (3 SH), PHTH 5202 Epidemiology (3 or 4 SH), PHTH 5224 Social Epidemiology (3 SH)
Communication Sciences and Disorders SLPA 6301 Speech Science (3 SH), SLPA 6321 Motor Speech Disorders (3SH), SLPA 6307 Voice Disorders (3SH), SLPA 6304 Augmentative and Alternative Communication (3 SH), SLPA 6211 Research and Evidenced-Based Practice (3SH), SLPA 6214 Noise and Hearing (2SH), SLPA 6209 Psychoacoustics (2SH), SLPA 6220 Hearing Science (3SH)
Behavior PHTH 5228 Advances in Measuring Behavior, CAEP 7756 Social Psychology in an Organizational and Ecological Context (3 SH), CAEP 6347 Behavior Management (3 SH), PSYC 3450 Learning and Motivation (4 SH), PSYC 3534 Human Factors in Psychology (4 SH), PSYC 4622 Laboratory in Sensation and Perception (4 SH), PSYC 4624 Laboratory in Affective Science (4 SH), PSYC 5170 Proseminar in Social Psychology (3 SH)
Assessment CAEP 6201 Introduction to Assessment (3 SH), CAEP 7711 Measurement: Advanced Psychometric Principles (3 SH), NRSG 5102 Public Health Nursing (4 SH), PHTH 6208 Urban Community Health Assessment (3 SH)
Software and Security CS 4520 Mobile Application Development (4 SH), CS 5500 Managing Software Development (4 SH), CS 6535 Engineering Reliable Software (4 SH), CS 6740 Network Security (4 SH)
Computational Tools CS 5100 Foundations of Artificial Intelligence (4 SH), CS 5330 Pattern Recognition and Computer Vision (4 SH), CS 6120 Natural Language Processing (4 SH), CS 6140 Machine Learning (4 SH), CS 6200 Information Retrieval (4 SH), CS 6220 Data Mining Techniques (4 SH), EECE 7364 Mobile and Wireless Networking (4 SH)
Dissemination ENTR 6212 Enterprise Growth and Innovation (3 SH), ENTR 6200 New Venture Creation (3 SH)

Read more about the core courses…

Comments are closed