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Students majoring in applied mathematics at Kettering University with concentration in Applied & Computational Mathematics will study classical and modern mathematical topics related to scientific and engineering disciplines. This concentration includes courses that emphasize the modeling of physical systems from theoretical and practical perspectives as well as courses that emphasize practical scientific computations. Depending on the student's interests, the student will also complete a sequence of courses in engineering applications or computer science. The curriculum for applied mathematics includes core mathematics courses that are common to both concentrations. These core courses comprise about one quarter of the total credits in the program. Considerable emphasis is placed on additional core courses in science, management and humanities. |
Kettering University is currently in the final stages of a major curriculum reform process. If there are any differences between the information on this page and the Catalog, the Catalog takes precedence.
The applied mathematics student interacts regularly with engineering departments through core and other required courses appropriate to the concentrations in Applied & Computational Mathematics and Applied Statistics. A substantial number of electives provides flexibility for greater breadth or depth of study in mathematics or its applications.
In addition to the core mathematics courses taken by all mathematics majors at Kettering University, the student with concentration in Applied & Computational Mathematics will also take the following courses:
Course # Course Name Credit Hours
MATH-328 Methods of Applied Mathematics 4 MATH-416 Vector Analysis 4 MATH-418 Intermediate Differential Equations or MATH-423 Partial Differential Equations 4 Engineering Applications/CPSC Sequence 16
TOTAL: 28
The student majoring in mathematics with concentration in Applied & Computational Mathematics will develop an engineering applications sequence or computer science sequence with the assistance of an academic advisor. The following are examples of possible sequences.
| Computer Science Sequence | |||||
| CS-101 | Computing and Algorithms I | ||||
| CS-102 | Computing and Algorithms II | ||||
| CS-203 | Computing and Algorithms III | ||||
| CS-312 | Theory of Computation, OR | ||||
| CS-421 | Applied Graph Theory | ||||
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| Mechanical Engineering Sequence | |||||
| MECH-210 | Mechanics I | ||||
| MECH-212 | Mechanics II | ||||
| MECH-310 | Mechanics III | ||||
| MECH-320 | Thermodynamics | ||||
| Electrical Engineering Sequence | |||||
| EE-210 | Circuits I | ||||
| EE-240 | Electromagnetic Fields & Applications | ||||
| EE-340 | Electromagnetic Wave Propagation | ||||
| EE-348 | Electromagnetic Compatibility | ||||
| Industrial Engineering Sequence | |||||
| IEN-241 | Systems Management I: Engineering Cost Analysis | ||||
| IEN-321 | Systems Modeling I: Deterministic Models | ||||
| IEN-342 | Systems Management II: Project Planning, Scheduling & Management | ||||
| IEN-422 | Systems Modeling II: Stochastic Models | ||||
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Last modified: 01/25/04
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