Professor Baldwin has been a member of the Geneseo faculty since 1990. Originally holding a position in computer science, he joined the mathematics department in 2013.
My Complete CV
Office Hours
Any time Monday - Friday, 8:00 a.m.-5:00 p.m., unless I'm already committed to something. See my Google calendar for details of when I'm free.
Curriculum Vitae
Education
B.Sc., 1980, Yale University
M.Sc., 1981, Yale University
Ph.D., 1985, Yale University
Publications
CS Curricular Innovations with a Liberal Arts Philosophy. Teresco, J. D., A. Tartaro, A. Holland-Minkley, G. Braught, J. Barnard, and D. Baldwin, SIGCSE Technical Symposium on Computer Science Education, Mar. 2022.
Report of the SIGCSE Committee on Computing Education in Liberal Arts Colleges. Douglas Baldwin, Amanda Holland-Minkley, and Grant Braught, ACM Inroads, June 2019.
Fast Ray-Triangle Intersections by Coordinate Transformation. D. Baldwin and M. Weber, Journal of Computer Graphics Techniques, 5:3 2016
Can We "Flip" Non-Major Programming Courses Yet? Douglas Baldwin, Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015
The Roles of Mathematics in Computer Science. Douglas Baldwin, Henry M. Walker, Peter B. Henderson, ACM Inroads, 2013
Is Computer Science a Relevant Academic Discipline for the 21st Century? Douglas Baldwin, IEEE Computer, 2011
Case Studies of Liberal Arts Computer Science Programs. Douglas Baldwin, Alyce Brady, Andrea Danyluk, Joel Adams, Andrea Lawrence, ACM Transactions on Computing Education, 2010
Surface Reconstruction from Constructive Solid Geometry for Interactive Visualization. Douglas Baldwin, Third International Symposium on Visual Computing (Springer: Lecture Notes in Computer Science 4841), 2007
Algorithms and Data Structures: The Science of Computing Douglas Baldwin and Greg Scragg, Charles River Media, 2004.
A Compiler for Teaching about Compilers. Doug Baldwin, Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education, 2003
Discovery Learning in Computer Science. Douglas Baldwin, Proceedings of the Twenty-Seventh SIGCSE Technical Symposium on Computer Science Education, Mar. 1996.
Research Interests
My main research interests are in computer graphics, particularly procedural modelling of natural objects (e.g., terrains, plants, etc.) I am currently beginning a project aimed at studying what if any mathematical and algorithmic models can describe crystal aggregates in computer graphics. Other interests include the role of mathematics in computer science, programming languages and methods, and open educational resources.
Classes
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MATH 221: Calculus I
Topics studied are limits and continuity; derivatives and antiderivatives of the algebraic, exponential, logarithmic, trigonometric, and inverse functions; the definite integral; and the fundamental theorem of the calculus.
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MATH 239: Intro to Mathematical Proof
The course will provide an introduction to the language of advanced mathematics and to mathematical proof. It will emphasize rigorous argument and the practice of proof in various mathematical contexts. Topics will include logic, set theory, cardinality, methods of proof, and induction. Other mathematical topics chosen at the discretion of the instructor will be included as material through which proving skills will be honed.
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MATH 304: Theory of Computability
This course covers the theoretical limits on what algorithms can and cannot compute. Topics include finite automata, regular languages, push-down automata, context-free languages, Turing machines, decidability, the structure of the classes of computable and incomputable problems, and the relationships between computability and the logical limits of mathematics.