DANCE AND CULTURE

Through a survey of world dance traditions from both artistic and anthropological perspectives, this course introduces students to dance as a universal human behavior and to the many dimensions of its cultural practice -- social, religious, political and aesthetic. Course materials provide students with a foundation for the interdisciplinary study of dance in society and the tools necessary for analyzing cross-cultural issues in dance; they include readings, video and film viewing, research projects and dancing.

ABNRML PSY:EVIDENCE BASED PRAC

In depth study of anxiety disorders. Course examines research on the phenomenology, etiology and treatment for selected anxiety disorders and clarifies the nature and quantity of evidence supporting the efficacy of current treatments. Attention is devoted to the strengths and weaknesses of different research designs for answering specific questions about psychopathology and psychotherapy. The course highlights landmark studies and documents which treatments have been shown to be most effective for which types of patients. Prerequisites: PSY 100, PSY 202 and PSY 150.

PHYS COND: PILATES MAT TRAIN I

Sectioned course. A course designed to teach the mat exercises of Joseph Pilates. These exercises increase core strength, increase joint mobility and stability, and increase muscle tone and flexibility. By the end of this course the student will be able to develop and maintain their own Pilates matwork program. Enrollment limited to 25.

INTRO/PROBABILITY/STATISTICS

Formerly MTH 245. An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 220 satisfies the basis requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

Formerly MTH 245. An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 220 satisfies the basis requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

Formerly MTH 245. An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 220 satisfies the basis requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

Formerly MTH 245. An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 220 satisfies the basis requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

Formerly MTH 245. An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. MTH 220 satisfies the basis requirement for biological science, engineering, environmental science, neuroscience and psychology.
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