The following university courses provide a representation of the direction of my education:
PSY 220: Research Methods Introduction to basic research methods in Psychology. Principles of experimentation, naturalistic observation, correlational studies.
PSY 310: Intermediate Statistics Basic theoretical concepts of statistics and use of these concepts in selection and development of model testing, hypothesis testing and parameter estimation procedures. Both single measure (univariate) and correlation (bivariate) concepts are included.
PSY 332: Cognition Study of higher-order processes basic to the acquisition of knowledge. Includes thinking, problem solving, creativity, information processing, decision making, judgment, concepts and imagination.
PSY 331: Sensation and Perception An introduction to the scientific study of sensory processes and perceptual principles from a psychophysical and physiological perspective, and the methods used to investigate them. Topics may include vision, audition, psychophysics, and object and space perception.
PSY 411: Statistical Design and Analysis of Experiments Focuses on logic, application, and interpretation of analysis of variance (ANOVA) models in addition to other statistical procedures. Various issues of research design and experimentation are also covered.
PSY 518: Computer Applications in Psychology (Fall 2016) Foundations of computer technology and its application to psychology. Emphasis on real-time control by digital computers in psychological research and applications.
PSY 527: Human Factors (Fall 2016) Systematic application of psychological principles to the design of person-machine systems. Emphasis in the laboratory on the development of skills required of human factors psychologists. These skills will include systems and analysis, cognitive task analysis, rapid prototyping and usability testing.