Devin Gray
Montana State University
Masters Student, Computer Science
My name is Devin Gray. I am currently working towards a Masters degree in Computer Science. I work full time as an Application Engineer at RightNow Technologies here in Bozeman, Montana. Due to this, I am taking the courses only track on a part time basis: one class per semester. At this pace I expect to graduate in the Spring of 2013.
EPS Building - the home of the CS department (3rd floor)
SUMMER BREAK!
Its currently the summer break for my grad degree. My next class will be CS530 - Data Mining in the Fall of 2010.
Tentative Program of Study
500 Level (12+ credits):- F 2010 - 3 Credits - CS530 - Data Mining
- S 2011 - 3 Credits - CS525 - Graphics and Scientific Visualization
- F 2011 - 3 Credits - CS510 - Computibility (required)
- S 2012 - 3 Credits - CS540 - Distributed Computing
- * - 1-3 Credits - CS570 - Independent Study
- S 2011 - 3 Credits - CS432 - Computational Biology
- S 2012 - 3 Credits - CS445 - Embedded Systems (Robotics)
Courses Taken
CS515 - Analysis of Algorithms - Spring 2010
3 credits
Professor: Brendan Mumey
-- Concrete time and space complexity; combinatorial algorithms; greedy algorithms; dynamic programming; probabilistic and randomized algorithms; branch-and-bound algorithms.
Book: Introduction to Algorithms, Third Edition (supplemental content)
CS535 - Advanced Database Theory - Fall 2009
3 credits
Professor: Rafal Angryk
-- Advanced database models including active, distributed, deductive, temporal, object-oriented, and web-based; normalization theory and query optimization.
CS536 - Advanced Artifical Intelligence - Spring 2006
3 credits
Professor: John Paxton
-- An exposure to advanced topics from the field of artificial intelligence. Example topics include machine learning, evolutionary computation, natural language processing, and cognitive science.
CS425 - Computer Graphics - Fall 2005
4 credits
Professor: Ray Babcock
--High resolution computer graphics. 3D graphics programming using a high level API. Vector mathematics for graphics. Graphics primitives. Curve and surface representations. Transformations using matrices and quaternions. Representing natural objects with particle systems and fractals. Shading and lighting models. Global illumination models. Color representations.