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Psychology Graduate Courses

PSY 5110 - Statistics for the Behavioral Sciences

Introduction to descriptive and inferential statistics with emphasis on inferential statistics. No credit for both 2110 and any of the following: MATH 2500, QBA 2010, COMS 3520, ECON 3810.

Credits: 4

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 4.0 lecture

Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I

PSY 5111 - Advanced Statistics for the Behavioral Sciences

Continuation of 2110. Statistical techniques through multifactor analysis of variance and multiple regression analyses. Integration of experimental design with statistical analyses. Does not apply to Arts and Sciences social sciences or natural sciences requirement.

Credits: 4

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 4.0 lecture

Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I

PSY 5120 - Research Methods in Psychology

Training in scientific methods and techniques of modern experimental psychology with individual reports of experiments.

Credits: 4

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 4.0 lecture

Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I

PSY 5121 - Tests and Measurements

Tests, psychophysical methods, scaling techniques, and questionnaires. Basic criteria including reliability, homogeneity, and validity.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I

PSY 5700 - Clinical Orientation

Orientation to the clinical psychology doctoral program

Credits: 1

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 1.0 lecture

Grades: Eligible Grades: F,CR,PR,WP,WF,WN,FN,AU,I

PSY 5710 - First-Year Seminar in Experimental Psychology

This course introduces first-year experimental psychology graduate students to research and training in experimental psychology.

Credits: 1

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 1.0 seminar

Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I

PSY 5900 - Special Topics in Psychology

Specialized seminars on psychology related topics.

Credits: 1 - 15

Repeat/Retake Information: May be repeated.

Lecture/Lab Hours: 1.0 lecture

Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I

PSY 6100 - Data Management

This course is an introduction to the principles of data management and analysis using statistical software. Topics include forming datasets, merging datasets to add cases and/or variables, creating and transforming variables, selecting subsets of cases, creating graphs, conducting basic descriptive and inferential analyzes, and restructuring datasets. Special emphasis will be placed on insuring the integrity of a dataset, including detecting and correcting errors.

Credits: 1

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 1.0 laboratory

Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I

PSY 6111 - Advanced Statistics for the Behavioral Sciences

The first half of the course is a review of the fundamental concepts of statistical inference, including the rationale for and the principles of statistical estimation and hypothesis testing. The second half of the course is devoted to analysis of variance models, including the between-subject, within-subject, and mixed designs as well as the testing of contrasts, the investigation of interactions, and power.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I

PSY 6112 - Introduction of Linear Regression Analysis

This course is an introduction to linear regression models, including the principles and procedures involved in the estimation and testing of parameters, the use of diagnostic procedures, the representation of categorical predictors, and the exploration of higher-order effects, including interactions.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I

PSY 6115 - Introduction to Bayesian Data Analysis

An introduction to Bayesian data analysis focused on the application of Bayesian techniques to social science data. Major topics include the fundamentals of Bayesian inference, including the use of Markov Chain Monte Carlo computational techniques, and the application of Bayesian methods to data that otherwise would have been analyzed using the traditional statistical techniques taught in most standard introductory statistics textbooks.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I

PSY 6120 - Advanced Research Methods in Psychology

This course is designed to introduce the student to the principles of behavioral science research and the rationale underlying various research strategies. After the course, the student should have a critical understanding of the research process.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I

PSY 6210 - Human Psychophysiology

Introduces student to the relationships between psychological variables and physiological events in humans. Examines the fundamental concepts that define the science and practice of Psychophysiology.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I

PSY 6220 - Physiological Psychology

Biological basis of behaviors with emphasis on central nervous system and neurological disorders.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I

PSY 6310 - Cognitive Processes

Theory and research on human cognitive processes such as perception, learning, attention, similarity, concepts and categorization, memory, knowledge structures, affective states, language, reasoning, problem solving and judgment and decision making.

Credits: 3

Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I