Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

This course consists of 1) an overview of the ethical principles and conduct pertaining to clinical practice, research, and teaching; and 2) a consideration of challenges and risks in the professional practice of psychology. Open only to doctoral students in the clinical psychology program.

The Psychology IE course will focus on the content areas of Psychology as they relate to real-world problems. We will consider areas of Psychology where our majors may be employed after graduation. The course will be organized into a series of six units. Each unit will be introduced and discussed in a lecture and carried over into recitation sections. Course content will represent each of the five areas of the department in various themes throughout the course; some themes will cross disciplinary boundaries contained within the department.

Evaluates scientific research on human happiness. Integrates research from psychology, economics, and neuroscience in the evaluation of personal and public policy choices.

An overview of systems neuroscience, with special emphasis on cognition, including perception, recognition, attention, and motor control. Includes both theoretical and lab components covering neuroanatomy, neurohistology, brain imaging, and behavioral analysis.

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)