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.
Six core courses (24 SH) are taken by all students, with an additional seminar speaker series (1 SH) and practicum (1 SH). All students must also fulfill the programming fundamentals requirement (4 SH) and the statistics fundamentals requirement (4 SH), where some flexibility in course selection allows tailoring based on background and experience. Two additional research electives (8 SH) are selected based on research interests from the Personal Health Informatics electives list.
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: Theoretical Foundations in Personal Health Informatics (4SH)
Programming Fundamentals Requirement (e.g., CS 5010: Program Design Paradigms) (4SH)
HINF: Personal Health Informatics Seminar Series (0SH) (repeat all semesters)
CS 5340: Human/Computer Interaction (4SH)
Statistics Fundamentals Requirement. (MATH 7245 Statistics for Health Sciences (4 SH), MATH 7343 Applied Statistics (4 SH), or PHTH 5210 Biostatistics in Public Health (3 SH))
HINF: Personal Health Informatics Usability Evaluation Practicum (2SH)
Co-op or funded research project
2
HINF: Personal Health Interface System Design, Development, and Evaluation Part 1 (4SH)
CS 6350: Empirical Research Methods (4SH) Research (1SH)
HINF: Personal Health Interface System Design, Development, and Evaluation Part 2 (5SH)
HINF: Health Data Systems Standards and Interchange (Adapted from HINF 5102 and HINF 6355) (4SH)
Co-op or funded research project
3
Research (Prepare for candidacy) (1SH)
Personal Health Informatics Elective (4SH)
Personal Health Informatics Elective (4SH)
Research(Comprehensive exam) (1SH)
Funded research project
4
Research (1SH)
Research (Dissertation proposal defense) (1SH)
Funded research project
5
Dissertation
Dissertation (Dissertation Defense)
Electives 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)
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