Math/Stat 750
Introduction to Interdisciplinary Consulting

Spring 2004 - Matthias K. Gobbert and Nagaraj K. Neerchal

Section 0101 - Schedule Number 3697/5551

This page can be reached via the homepage of the Scientific Computing and Statistical Data Analysis Lab at


Consulting Projects and Class Presentations

The class presentations of the consulting projects will be held on Wednesday, May 05, 2004 at 08:45 a.m. and Thursday, May 06, 2004 at 09:30 a.m. in MP 401. Please follow the link to the Program for the titles and abstracts.

Basic Information

Course Description

This course provides an introduction to professional consulting in mathematics and statistics. Typical consulting activities include the following elements: We invite people from across the campus and from local companies and government agencies to be clients to provide real-life consulting experience. You might collaborate in teams of Mathematics and Statistics students, if appropriate to the project and the client.

Students will gain experience in approaching application problems and gain confidence in their ability to apply their mathematical and statistical tools. Through the regular reports to the class, students will greatly improve their oral presentation and writing skills. The course is designed with non-academic consulting in mind, but the same skills are invaluable also for students desiring academic employment. One of the many other benefits of the class include contact with clients for possible research or internship opportunities.

The course will begin with small projects assigned to teams of students by the facilitators that culminate in written reports. In the second phase, students will give individual oral presentations on various tools and techniques, For instance, advanced features of software tools or analytical techniques may be presented to the class. The second half of the semester will feature a larger consulting project working with a client from outside of the department. The deliverables of the consulting projects will be determined by the client and might consist of a written report, computer code, associated documentation, and/or training in its use. In addition to the product delivered to the client, each team will document its consulting activities to the class in an oral presentation and a brief written report that outlines and explains the methods and tools used in the project.

Mathematics students should register for Math 750, Statistics students for Stat 750. The students in this class should have background in the relevant first-year graduate courses in mathematics or statistics, respectively. The ability to use one or more professional software package effectively is essential. Students should be ready to learn more in their own fields as well as be exposed to new tools and methods by interacting with their classmates.

If you are interested in this course as a student or if you have a project to present as a potential client, please contact any of the facilitators.

Other Information

UMBC Academic Integrity Policy

By enrolling in this course, each student assumes the responsibilities of an active participant in UMBC's scholarly community in which everyone's academic work and behavior are held to the highest standards of honesty. Cheating, fabrication, plagiarism, and helping others to commit these acts are all forms of academic dishonesty, and they are wrong. Academic misconduct could result in disciplinary action that may include, but is not limited to, suspension or dismissal. To read the full Student Academic Conduct Policy, consult the UMBC Student Handbook, the Faculty Handbook, the UMBC Policies section of the UMBC Directory for undergraduate students, or the Graduate School website for graduate students.

Copyright © 2004 by Matthias K. Gobbert and Nagaraj K. Neerchal. All Rights Reserved.
This page version 3.0, May 2004.