This course will use the current KIN 110 course content framework enhanced with additional problem solving, critical thinking, and student-centered learning activities and assignments. For example, for the topic on diet, exercise and weight control, students in the honors section will be asked to estimate their own personal energy balance by determining individual energy intake and expenditure and discuss the implications in terms of personal weight management.

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students? understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

Course description not available at this time.

Introduction to major issues in Jewish legal thought. Historical development of Jewish law and the interplay of religious, social, and moral considerations. Reading selected Talmudic texts in translation; focus on various ethical dilemmas. Students with sufficient Hebrew background, or desiring credit toward the Hebrew minor, may arrange to read texts in Hebrew. (Gen.Ed. SB, G)

Basic ideas of point and interval estimation and hypothesis testing; one and two sample problems, simple linear regression, topics from among one-way analysis of variance, discrete data analysis and nonparametric methods. Prerequisite: Statistc 515 or equivalent.

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Description not available at this time

This course explores statistical problems beyond the classical linear models including mixed effects, non-normal error distributions, autocorrelations, etc. Hierarchical models, including explicit observer effects, will also be considered.

This course explores statistical problems beyond the classical linear models including mixed effects, non-normal error distributions, autocorrelations, etc. Hierarchical models, including explicit observer effects, will also be considered.