NotesMany courses which have an interdisciplinary approach and are recommended and/or required by a variety of departments are listed in this section.
Description: This course teaches students how to use the latest Windows operating system in combination with Microsoft Office applications and how to use these tools to produce attractive, efficient, and informative documents. Basic notions of word processing, document design, data organization, and presentation are explored. The course is based on a step‑by‑step learning process, whereby students acquire the tools that they need to accomplish a specific task. A minimum of 40 hours of laboratory work is required.
Computer Science students, or students enrolled in Mathematics and Statistics programs, may not take this course for credit.
Students who have received credit or exemption for DESC 200 or BTM 200 may not take this course for credit.
Description: This course introduces students to the use of contemporary computer tools in scientific applications. It is designed for students with some familiarity with the fundamentals of computing who wish to use computers as tools for research within science disciplines. The format is largely self‑instructional, using computer‑based tutorial packages. A minimum of 40 hours of laboratory work is required.
Component(s): Lecture; Laboratory
Description: This course introduces students to the basics of statistics and is aimed at mastering the elementary analytical concepts of the subject. Topics include descriptive statistics, correlation and regression analysis, experimental analysis (test procedures), probability (distribution and theory), hypothesis testing, and analysis of variance.