A course on simulation, probability and statistics

Authors:
Scott D. Anderson
Affiliations:
Wellesley College, Wellesley, Massachusetts
Venue:
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Year:
2007

Citing 4
Cited 3

Simulation Modeling and Analysis

Simulation Modeling and Analysis
Core empirical concepts and skills for computer science

Proceedings of the 35th SIGCSE technical symposium on Computer science education
Randomness and probability in the early CS courses

Proceedings of the 36th SIGCSE technical symposium on Computer science education
Teaching empirical skills and concepts in computer science using random walks

Proceedings of the 36th SIGCSE technical symposium on Computer science education

Using modes of inquiry and engaging problems to link computer science and mathematics

Proceedings of the 40th ACM technical symposium on Computer science education
Making discrete mathematics relevant

Proceedings of the 48th Annual Southeast Regional Conference
A course on probability theory for computer scientists

Proceedings of the 42nd ACM technical symposium on Computer science education

Quantified Score

Hi-index	0.00

Visualization

Abstract

Simulation is an important topic in Computer Science, as is probability and statistics. Most undergraduates who take a course in probability and statistics do so through the mathematics department, and often to fulfill a college quantitative reasoning (QR) requirement. However, a course that combines the two topics can exploit some useful synergies between them. This paper describes those synergies and a one-semester course that covers both topics.