Summary of CBMS2000 Findings on Mathematical Sciences Enrollment, Bachelors<br>Degrees, Faculty, and the Curriculum in Two and Four-Year Colleges and Universities


Book: 
Statistical Abstract of Undergraduate Programs in the Mathematical Sciences in the United States (Chapter 1)
Authors: 
Lutzer, D. J., Maxwell, J. W., &amp; Rodi, S. B.
Type: 
Category: 
Year: 
2000
URL: 
http://www.ams.org/cbms/cbmssurvey-ch1.pdf
Abstract: 

Every CBMS survey continues longitudinal studies of fall term undergraduate enrollments in the mathematics programs of two-year colleges and in the<br>mathematics and statistics departments of four-year colleges and universities. Every CBMS survey includes departments that offer associate, bachelors, masters,<br>and doctoral degrees. Every CBMS survey also studies the demographics of the faculty in those programs and departments and examines the undergraduate curriculum to determine what is taught, who teaches it, and how it is taught. In addition, each CBMS<br>survey selects a family of special topics for study.<br><br>Chapter 1 of this report, and particularly the data highlights section of Chapter 1, gives an executive summary of CBMS2000 findings on the various longitudinal issues studied since 1965, presented at a broad level of aggregation. Individual tables are<br>discussed in more detail after the data highlights section. Chapter 2 presents CBMS2000 findings on the special topics chosen for the fall 2000 study. Subsequent chapters disaggregate Chapter 1 material. For example, Chapter 3 examines enrollment and curricular variations among four-year mathematics and statistics departments that offer bachelors, masters, or doctoral degrees as their highest degrees,<br>and Chapter 5 contains data on individual first-year courses. Chapter 4 presents four-year faculty demographic data broken down by department type. Chapters 6 and 7 present detailed studies of curricular and personnel issues in two-year college<br>mathematics programs.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education