Natural Sciences: General

Astronomy: Exploring the Universe
Using the theory of stellar structure and evolution as a springboard, this course explores other aspects of astronomy, like planet formation, the origin of elements, interstellar matter, and the structure and nature of galaxies and quasars. The observational basis of astronomy and its relationship to currently accepted theories are emphasized. Because this course is designed for non-science majors, material from the physical sciences is introduced as needed, and there are no prerequisites. Astronomy is an exact science, however, so some quantitative investigations are required.
BNS2050.20 / 4 credits
Daniel Frare
Mon. & Wed., 6:30–10:05 p.m.
Session II: June 9–July 23
Natural Sciences Bldg., Rm. 1059

Statistics
This introductory course in data analysis includes descriptive and inferential statistics, and is suitable for students in the liberal arts as well as in business programs. Descriptive statistics covers introductory data analysis and measures of central tendency, dispersion and association. Inferential statistics covers probability, hypothesis testing, sampling and population distribution, and their use in conducting T-tests and one-way ANOVAs. The theory and technique of linear regression and its applications, forecasting, and discriminant analysis are also presented. Some statistical applications are explored in the College’s computer lab during class hours.
Prerequisite: High school algebra or equivalent
BNS2400.60 (Intensive) / 4 credits
Theresa James
Mon.–Fri., 1:00–4:20 p.m.
Session IV: July 7–25
Natural Sciences Bldg., Rm. 2001

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Posted Feb. 20, 2008