Understanding the U.S. domestic computer science Ph.D. pipeline

2015 ◽  
Vol 58 (8) ◽  
pp. 29-32 ◽  
Author(s):  
Susanne Hambrusch ◽  
Ran Libeskind-Hadas ◽  
Eric Aaron
Keyword(s):  
Computer Science ◽  
The U.S

Gendered Attrition at the Undergraduate Level

2011 ◽  
pp. 714-720 ◽  
Author(s):  
Sandra Katz
Keyword(s):  
Computer Science ◽  
Undergraduate Level ◽  
Men And Women ◽  
Bachelor Of Science ◽  
Post Secondary ◽  
Education Statistics ◽  
Degree Recipients ◽  
The U.S

As Camp showed in her widely cited papers on the “incredible shrinking pipeline” (Camp, 1997; Camp, Miller, & Davies, 2000), women have continuously lagged behind men in earning Bachelor of Science (BS) degrees in computer science (CS) at four-year post-secondary U.S. institutions, despite the fact that the percentage of women earning CS degrees has kept pace with trends in the total number of CS degree recipients. This pattern is illustrated in Figures 1 and 2, which are based on data from the National Center for Education Statistics (National Center for Education Statistics, 2003, Table 282). Our goal is to summarize the proposed causes of, and solutions for, female attrition at the undergraduate level. In times like the present, when the U.S. is experiencing an overall decline in enrollment in undergraduate CS programs (Zweben, 2005), it becomes increasingly important to retain good students—both men and women.

Retention in Computer Science Undergraduate Programs in the U.S.

2018 ◽  
Author(s):  
Chris Stephenson ◽  
Alison Derbenwick Miller ◽  
Christine Alvarado ◽  
Lecia Barker ◽  
Valerie Barr ◽  
...  
Keyword(s):  
Computer Science ◽  
Undergraduate Programs ◽  
The U.S

Update on the status of medical computer science programs in the U.S. - 1979

1980 ◽  
Vol 4 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Lynn L. Peterson ◽  
Joan S. Reisch
Keyword(s):  
Computer Science ◽  
Medical Computer ◽  
The Status ◽  
The U.S

Models of the U.S. Economy

1977 ◽  
Vol 70 (2) ◽  
pp. 102-110
Author(s):  
Samuel L. Dunn ◽  
Lawrence W. Wright
Keyword(s):  
Probability Theory ◽  
Computer Science ◽  
Linear Algebra ◽  
The U.S

The field of economics provides many opportunities for applying mathematics. The quantification of economics that has occurred in the last thirty years has made it necessary that economists be trained in the uses of higher mathematics. Algebra, geometry, calculus, probability theory and statistics, higher analysis, linear algebra, and computer science are some of the tools being used in contemporary approaches to economics.

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