Biomechanical Methods (graduate)
Introduces students to the fundamental methods of two and three dimensional analysis in biomechanics. Topics include creation of local coordinate systems, coordinate system transformations, joint center estimations, linear kinematice, angular kinematics, inverse dynamics, and power estimation.
Biomechanics II (undergraduate)
Introduction to two-dimensional kinematics from a linear algebra perspective, introduction to two-dimensional ground reaction forces, joint reaction forces, moments, and powers, introduction to three-dimensional kinematics.
Introduction to Microcomputers (undergraduate)
Focuses on the fundamental characteristics of microcomputer systems and their role in Exercise Science. Topics include operating system characteristics, internet utilization, e-mail access, word processing, spreadsheet, and manipulation of graphic images.
Laboratory Instrumentation (graduate)
Introduction to the principles of operation of laboratory equipment common to the areas of exercise physiology and biomechanics. Includes theory of operation, environmental considerations, and area of application of instruments. Laboratory involves creation and use of equipment to collect data for faculty and student research projects.
Research Methods (graduate)
Emphasis on procedures for designing experimental research studies including selection of topics, experimental design, use of human subjects requirements, statistical analysis, and technical writing for proposals and publication.
Sport Photography (graduate)
Discusses basic design and operation principles of photographic systems with emphasis on use and application in sport activities. Utilizes primarily black and white film and color slides. Extensive darkroom experiences provided.
Introduction to Statistics (graduate)
Overview of elementary statistics and their application in research. Emphasis is on the appropriate selection, application, and interpretation of statistical models utilizing commercial statistical software packages. Statistics covered include descriptive statistics, Chi-square tests, simple and multiple correlation, linear and non-linear regression, analysis of variance, factor analysis, and discriminant function analysis.