This Web document is updated twice a year, on or about the first day of registration for Fall and Spring semesters.

6010  Foundations of Clinical Informatics (3) Prerequisite: Admission to program or permission from department.
   An overview of basic concepts in medical and healthcare informatics. These core concepts include an introduction to the foundational theory and practical application of clinical decision making; computerized decision support; healthcare systems and their organization; the special issues of administration, security, and operations of electronic records in the healthcare setting; human factors issues; information science in the biomedical domain; imaging informatics; tele-health technology; public health informatics; standards, terminologies, and the uniqueness of biomedical data; and a special focus on emerging technologies. (Required for all biomedical informatics graduate students.)

6030  Foundations of Bioinformatics (1.5) Prerequisite: Admission to program or permission from department.
   This course includes an introduction to fundamental concepts in bioinformatics and will introduce students to the data that is being managed, databases where this data resides, knowledge bases which are used to associate concepts with each other, and tools of analysis of this data. The course will have a short introduction to terminology and concepts, although it is strongly recommended that students will have had an introduction to molecular biology and genetics concepts in their undergraduate coursework. This course serves as the first course for students who wish to take more advanced courses in these topics. (Required for all biomedical informatics graduate students.

6040  Foundations of Genetic Epidemiology (1.5) Prerequisite: Admission to program or permission from department.
   This course includes an introduction to fundamental concepts in bioinformatics and genetic epidemiology and will explore methods to determine if a trait is genetic, traditional and family-based association studies, concepts for haplotype blocks and tagging-SNPs, and an overview of both parametric and non-parametric linkage methods. The course will have a short introduction to terminology and concepts, although it is strongly recommended that students will to have had an introduction to genetics concepts in their undergraduate coursework. This course serves as the first course for students who wish to take more advanced courses in these topics. (Required for all biomedical informatics graduate students.)

6105  Statistics for Biomedical Informatics (3)
   This course covers a range of statistical methods from classical hypothesis testing to more modern computational methods. The emphasis is on application and practice rather than extensive theoretical derivations. Simulation is used to illustrate properties of distributions, tests and methods. Students are expected to have access to a personal computer and the "R" environment for statistics and computation. (Required for all biomedical informatics graduate students)

6110  Research Design (3) Prerequisite: BMI 6105.
   Practical course in basic research design, hypothesis testing, measurement theory, principles of quality management, evaluation methods, literature review, presentation skills and proposal development. (Required for all biomedical informatics graduate students)

6220  MI Vocabulary & Standards (3) Prerequisite: BMI 6010.
   Principles of database management systems as applied to medical care. Tools for representation of information in the electronic medical record. Standards applicable to medical information systems for communication, development, and validation of systems.

6240  Imaging Informatics (1) Prerequisite: BMI 6010.
   A course focusing on imaging systems, in reference to the fields of imaging informatics. The course will explore radiology modalities, image processing techniques, Picture Archiving and Communication Systems (PACS), Radiology Information Systems (RIS), Speech Recognition (SR) use in radiology, and imaging system integration issues.

6300  Medical Decision-Making and Knowledge Engineering (3) Prerequisite: BMI 6010.
   Quantitative and symbolic approaches to medical decision-making. Statistical methods (discriminant functions, Bayes theorem), decision analysis, utility theory, artificial intelligence, and expert systems. Survey of operational decision-making systems; strengths and weaknesses of a group of approaches. Expert system techniques used in medical decision-making. Conceptual framework for computer-based medical decision-making. Student works with an expert in a medical discipline to conceive and develop an operational expert system.

6420  Advanced Biomedical Computing (2) Prerequisite: Instructor's consent.
   This course presents a survey of advanced techniques for computational science and their application to biomedical problems. The computational techniques presented will include: parallel, distributed and Grid computing. New emerging techniques will be incorporated to the course as appropriate. The course will review all the aspects of these techniques efficiency, portability, scalability, extensibility, security, etc. and provide both hands-on experience and conceptual frameworks to apply advanced computing techniques to problems of interest to the students enrolled in the class.

6460  Website Design (2)
   The role of the internet in relation to healthcare. Basic instruction in the use of web authoring tools (e.g., HomeSite, FrontPage, Visual InterDev.) and technologies (e.g., DHTML, Java Script, Cold Fusion, ASP, and PHP).

6510  Advanced Genetic Epidemiology: Association (3) Prerequisite: BMI 6030.
   An advanced, applied course for graduate students with a strong research focus on genetic epidemiology, and association analysis particularly. Provided sufficient demand, it is taught in the Fall semester. For additional information contact Dr. Nicola Camp. This course is structured as a mixture of lectures, analysis presentations, analysis discussions, paper debates, and computer and analysis labs. The course includes: case-control and family based designs; theoretical aspects and practical analysis exercises using a variety of software; linkage disequilibrium structure; tagging-SNPs; haplotypes and haplotype grouping; meta analyses; sample size, power and significance and multiple testing issues.

6520  Advanced Genetic Epidemiology: Linkage (3) Prerequisite: BMI 6030.
   An advanced, applied course for graduate students with a strong research focus on genetic epidemiology, and linkage analysis particularly. Provided sufficient demand, it is taught in the Spring semester. For additional information contact Dr. Nicola Camp. This course is structured as a mixture of lectures, analysis presentations, analysis discussions, paper debates, and computer and analysis labs. The course includes: data and file preparation; qualitative and quantitative traits; parametric and non-parametric analyses; theoretical aspects and practical analysis exercises of multiple genetic linkage methods; splitting pedigrees for analysis, ordered subset analysis, two-locus analysis; Monte-Carlo Markov-chain methods; sample size, power and significance and multiple testing issues.

6560  Familiality Methods (2)
   Introduction to Genealogical/Medical Databases; introduction to investigations of the familial/genetic nature of medical phenotypes.

6570  Advanced Familiality Methods (2) Prerequisite: BMI 6560.
   Introduction to more advanced hypothesis testing of familiality. Advanced Familiality Methods is taught in the Spring semester provided sufficient demand and at the discretion of the instructor. For more information, contact Dr. Lisa Cannon-Albright.

6700  Public Health Informatics (2) Prerequisite: Admission to program or permission from department.
   Public health informatics is an emerging interdisciplinary field focusing on the use of information technology in public health practice, research, and education. This course provides an introduction to the field through exposure to core concepts of public health and epidemiology and examination of national and local public health informatics initiatives. Students will become familiar with informatics problems in the public health domain by evaluating existing surveillance systems and examining the breadth of existing information management systems.

6804  Successful Implementation of Systems in Healthcare Settings (3) Cross listed as NURS 6804. Prerequisite: BMI 6010.
   This course addresses the planning, implementation and outcomes of information systems in health care settings. Concepts related to the whole systems life cycle are applied. National and international informatics trends are analyzed. Project management techniques including risk mitigation are woven throughout the course. Electronic Health Record architecture, Information Technology processes, and major implementation issues are defined, evaluated and applied. Approaches for maintaining health information systems and evaluating the outcomes of such systems are analyzed.

6820  Human-Systems Interactions in Healthcare Informatics (3) Cross listed as NURS 6820. Prerequisite: Instructor's consent.
   Students will be exposed to a range of topics about humans, systems of varying kinds and levels and their interactions within healthcare contexts. Models, theories and methods pertinent to human-systems interactions frame the course. Quasi-experimental research designs and human-systems system research methods are woven throughout the course. Cognitive psychology aspects of individuals are learned, including cognition, errors in decision-making and perception. Human-computer interaction principles are outlined, concentrating on user-centered design, interface design principles and usability testing. Ergonomics and device engineering concepts are reviewed. Sociological aspects of organizations are applied to healthcare informatics to include sociotechnical systems, motivations and team interactions for optimal decision-making and work design.

6950  Special Topics (1 to 4)
   Special projects and clinical internships as announced or arranged by the department.

6970  Thesis Research: M.S. (1 to 9) Prerequisite: Graduate standing or Instructor's consent.
   For M.S. degree students working on their master's thesis.

6980  Faculty Consultation: M.S. (3) Prerequisite: Graduate standing or Instructor's consent.
   For approved and regular scheduled consultations with a faculty member.

7000  Graduate Seminar (1)
   Weekly research presentations by University faculty, visiting faculty, and graduate students. Fall and Spring Semesters

7010  Current Topics/Journal Club (1)
   Weekly discussions of current medical informatics topics and/or in-depth discussions of papers published in the refereed peer-reviewed literature. Section 01 is for general topics in Biomedical Informatics. Section 02 is for Public Health Informatics. (Required for PhD students) Fall and Spring Semesters

7050  Research in Medical Informatics (2 to 10) Prerequisite: For senior Medical students only.
   Students participate in a selected research project using computers. These projects may include creation of medical-decision logic for use by computers, clinical research using computers, or evaluation of existing medical computer services.

7970  Dissertation Research: Ph.D. (1 to 9) Prerequisite: Graduate standing or Instructor's consent.
   For PhD degree students working on their dissertation.

7980  Faculty Consultation: Ph.D. (3) Prerequisite: Graduate standing or Instructor's consent.
   For approved and regularly scheduled consultations with a faculty member.

7990  Continuing Registration: Ph.D. (0) Prerequisite: Graduate standing or Instructor's consent.
   For Ph.D. candidates who have completed all their course requirements but need to continue to register with the University to complete their dissertation.