Areas of Emphasis

Students are required to complete an "area of emphasis" taking a minimum of five courses or 15 credits in specialized theory or methods courses.

The area of emphasis is typically chosen after the first year.

Students may choose one of the defined areas, or they may design an area of emphasis of their own with courses selected in conjunction with his/her mentor, based on past course work, experience, proposed dissertation topic, and career goals. Students who choose two areas of emphasis must meet the course requirements of both.

Prospective students are welcome to contact faculty representatives of the areas of emphasis to learn of current research activities and opportunities.

 



AREA OF EMPHASIS:

Bioinformatics

Lead Faculty:   Mark Oberle

Biomedical and public health informatics is an increasingly important component of providing high quality care, ensuring good health outcomes, and facilitating research. Bioinformatics requires the integration of knowledge about computer systems, clinical care and human factors.

Required Courses:

MEBI 530
Intro to Biomedical and Health Informatics
MEBI 537
Biomedical Informatics Research Methods

Recommended Courses:

MEBI 554
Biomedical Information Interactions and Design
MEBI 539
Teaching and Communication in Biomedical Informatics
INSC 540
User-Centered Information System Design
T C 517
Usability Testing

Additional Courses:

MEBI 533
Public Health and Informatics
MEBI 534
Biology and Informatics
MEBI 535
Clinical Topics for Informaticists
MEBI 550
Knowledge Representation and Applications
MEBI 590
Selected Topics in Health Informatics
MEBI 591
Biomedical and Health Informatics Research Colloquium
CSE 510
Advanced Topics in Human-computer Interaction
CSE 510
Computational Biology
CSE 573
Artificial Intelligence
GENOME 540
Intro to Computational Molecular Biology
INSC 570
Research Design
LING 570
Shallow Methods in Natural Language Processing
LIS 598
Special Topics: Value Sensitive Design
LIS 515
Ecological Information Systems
MEBI 536/
PABIO 536
Bioinformatics and Gene Sequence Analysis
 
MHE 401
History of Modern Medicine
PABIO 511
Pathobiological Frontiers
PHARM 534/
HSERV 583
Economic Evaluation in Health and Medicine
 
PHG 542/
MHE 530
Genetic Discovery in Medicine and Public Health
 
STAT 516
Stochastic Modeling
STAT 550/
551/552
Statistical Genetics Series