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Course Criteria
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3.00 Credits
Fundamentals of biomedical signal and image processing including image digitization, display, and processing algorithms with emphasis on computer systems, processing methodologies, and display of images. Visualization procedures, tools and technologies for 3-D representation of images, animation and image manipulation are provided.
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3.00 Credits
An overview of computer methodology for clinical decision making. Application of decision trees for clinical and health care problems, estimation and revision of probabilities. Artificial intelligence, expert systems and decision-making techniques and their implementation as decision support systems in clinical and HIS settings. Examination of quantitative and symbolic approaches to medical decision making including application of statistical methods (discriminant and Bayesian statistics), decision analysis and utility theory.
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3.00 Credits
Overview of methods of decision support in health sciences, including artificial intelligence, Bayesian methods, classical multivariate analysis, dynamic screening (Markov) models, and theoretical and empirical limitations of these decision methods. Discussion of literature on human perception and judgment as well as practice on database management software and expert system tools to design decision support prototype systems for clinical, health care finance and patient management systems.
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3.00 Credits
Prerequisites: BINF 5100, BINF 5005 and BINF 4000 or equivalent. Practice of principles of interface design, data exchange, program-to-program communication, and knowledge-based systems using Windows-based GUI design packages. Exposure to application development tools with expert system shell capabilities and system integration tools with good communication interfacing between various hardware platforms from PCs to minicomputers and mainframes. Exploration of a wide array of user interface system design and development techniques. Term project using the GUI package required.
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1.00 Credits
Based on knowledge gained from courses in biomedical informatics, students engage in serious discussion and analysis of the various aspects of computer-based instructional systems. Examples of technologies covered include: microcomputer courseware, CD/ROM, CD-I, DVI, instructional television, interactive microcomputer and videodisc systems, multimedia intelligent tutoring and expert systems, and instructional games and simulations.
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3.00 Credits
Use of computer as a tool for scientific inquiry including techniques for searching computer databases of research literature, and formulating problems and hypotheses for statistical analysis of educational, health services, laboratory and clinical data. Use of computers in management and analysis of health science data. Laboratory instruction in use and application of software packages for micro- and mainframe computers. Issues in the design, organization and operation of randomized controlled clinical trials and intervention studies, and analysis of qualitative and quantitative data.
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3.00 Credits
Prerequisites: BINF 5005 or BINF 5010, and Chem 673 or equivalent. An extensive review of computational biology necessary to understand research and developments in bioinformatics. Topics include: covalent bonding, quantum mechanical basis of bond formation, 3-D structure of molecules, reaction mechanisms, catalysis, polymers, enzymes, thermodynamics and kinetics, metabolic pathways, and sequence and structure of macromolecules. Extensive use of computer approaches and computer graphical techniques to enhance interpretation of results.
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3.00 Credits
Prerequisites: BINF 5005 or BINF 5010, and Chem 673 or equivalent. Extensive use of computer approaches to cover the following important areas: cell structure, intracellular sorting and signaling; structure and function of proteins; and nucleic acid; enzymology, membrane structure and function; DNAreplication, transcription and recombinant DNA molecules; genetic mutation, cell fusion, chromosomal mapping and gene transfer; and immunological principles applied to genetics.
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3.00 Credits
Current developments and trends in instructional technology applied to knowledge and learning in health science: processes of perception, learning, motivation, problem-solving and decision making in relation to the design of intelligent tutoring and educational expert systems. The students will work with knowledge engineering, expert system and authoring tools to develop intelligent tutorials and expert system models on selected/assigned topics.
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3.00 Credits
Introduction to use of interactive videodisc and CD-ROM technology for health sciences instructional software. Students try existing interactive software and videodiscs on biomedical subjects, and then design, edit and evaluate an interactive videodisc learning module of their own.
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