For Bright And Gifted Pre-College Students

June 21 - July 30, 2004

Program Announcement

The Institute provides an opportunity for bright and gifted pre-college students to interact with university faculty and each other, to take some challenging math classes that earn college credit, and have fun in an academic atmosphere. Check with the Institute PHILOSOPHY.

Students take two 4-credit COURSES in mathematics or statistics taught by full-time doctoral-holding FACULTY .
The Summer Mathematics Institute at Oakland University is FREE to all participants.
The Summer Mathematics Institute at Oakland University is a day camp. Check with the SCHEDULE.
Completed applications will be given full consideration if received by May 15, 2004. Refer to ADMISSION policy and APPLICATION MATERIALS . (Flier in pdf format available here and brochure in pdf format available here.)

The Distinguished Colloquium Speaker: Professor Erik D. Demaine, MIT

Banquet pictures NOW AVAILABLE: zip file

Further information is available from:

Professor Eddie Cheng, Director
Summer Mathematics Institute
Department of Mathematics and Statistics
Oakland University
Rochester, MI 48309 - 4485
e-mail: echeng@oakland.edu
Phone: (248) 370-4024; FAX: ( 248) 370 - 4184


The Institute Director and Instructor :
Dr. Eddie Cheng is Associate Professor in the Department of Mathematics and Statistics at Oakland University. He joined the faculty of Oakland University in 1997. He graduated with a B.Sc. (Hons.) from Memorial University of Newfoundland (Canada) in 1988. During the summer of 1988, he worked as a research assistant in the Department of National Defence in British Columbia. For his graduate studies, he earned his M.Math. in 1990 and Ph.D. in Combinatorics and Optimization from the University of Waterloo (Canada) in 1995. From 1995 to 1997, he was a Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellow and part-time lecturer in the George R. Brown School of Engineering at Rice University. He is currently a member of the examination committee of the Michigan Mathematics Prize Competition (MMPC). MMPC is a state-wide competition given every year to thousands of high school students in Michigan. He is also a member of the editorial board and an associate editor of the journal Networks. Networks publishes material on the modelling of problems using networks, the analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. His research interests include combinatorial optimization, integer programming and network analysis. He has authored and coauthored about 25 research papers.

The Institute Instructor :
Dr. Jack Nachman is Professor and Chair of the Department of Mathematics and Statistics at Oakland University (since 2002). He has been at Oakland since 1968. He started out as a math education major at Ohio State, taught high school for two years, and then decided to go into higher education. He obtained his doctorate in mathematics also at OSU. One memorable experience there was teaching calculus to 1500 students at once via television. Professor Nachman is one of the campus experts in computer graphics and had taught an entire graphic course via the web. He is the first member of the department who supervised an Oakland University Ph.D. graduate (in computer science). For serveral years Professor Nachman served as mathematics consultant to Ford Motor Company's Product Development CAD/CAM group. He has published papers in general topology, topological dynamics, and analysis of curves and surfaces for CAD. In addition to his academic duties, Professor Nachman has served in some administrative roles: six months as acting Associate Vice President for Academic Affairs (in charge of the Office of Computer and Information Systems and the Registrar's Office) and prior to that as the Distance Learning facilitator. He is currently the co-president of the Great Lakes Section of the Society of Industrial and Applied Mathematics (SIAM). His current interests are in applied approximation theory - mathematically modeling curves and surfaces, especially as they are used in CAD/CAM.