Applied Mathematics Curriculum


What makes the applied mathematics curriculum at Kettering University so unique?

Applied Mathematics Classroom

Mathematics is the universal language of engineering, science, and management. Students majoring in applied mathematics at Kettering University select a concentration in 1) Applied and Computational Mathematics or 2) Applied Statistics. The degree is very flexible in serving the interests of business and industry, preparing the student for a wide variety of careers. The degree also provides a sound preparation for graduate study. Kettering University graduates in applied mathematics appreciate their broad-based education because it enables them to work easily with engineers, managers, and scientists. They can contribute to team approaches to problem solving.

Students with concentration in Applied and Computational Mathematics will study classical and modern mathematical topics related to scientific and engineering disciplines. Courses are included that emphasize the modeling of physical systems from theoretical and practical perspectives as well as practical scientific computations. These students will also complete a sequence of engineering applications or computer science courses related to the special interests of the student.

Students with concentration in Applied Statistics will study modern statistical methods related to the acquisition, organization, analysis, and interpretation of data. Courses are included that emphasize theory and application of probability, statistics, and mathematical modeling. This program also provides excellent preparation for the student interested in starting a career in the actuarial profession.

The curriculum for applied mathematics includes core mathematics courses common to both concentrations. These 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.

At Kettering University, the student majoring in applied mathematics interacts regularly with engineering departments through core and other required courses appropriate to the concentrations in applied and computational mathematics and applied statistics. A substantial number of electives provides flexibility for greater breadth or depth of study in mathematics or its applications.

View the official Kettering Catalog.

MATH 100 - College Mathematics
MATH 100X - College Mathematics
MATH 101 - Calculus I
MATH 101X - Calculus I
MATH 102 - Calculus II
MATH 102H - Calculus II - Honors
MATH 122 - Integral Calculus and Series
MATH 203 - Multivariate Calculus
MATH 204 - Diff Eq and Laplace Transforms
MATH 205 - Appl Probability & Statistics
MATH 226 - Statistics for Management I
MATH 227 - Statistics for Management II
MATH 291 - Mathematics Special Topics
MATH 297 - Mathematics Free Elective
MATH 305 - Numerical Methods & Matrices
MATH 307 - Matrix Algebra
MATH 308 - Abstract Algebra
MATH 313 - Boundary Value Problems
MATH 317 - Advanced Matrix Theory
MATH 321 - Real Analysis I
MATH 327 - Mathematical Statistics I
MATH 328 - Methods of Applied Mathematics
MATH 408 - Probability and Statistics
MATH 412 - Complex Variables
MATH 416 - Vector Analysis
MATH 418 - Intrmd Differential Equations
MATH 420 - Mathematical Modeling
MATH 421 - Real Analysis II
MATH 423 - Partial Differential Equations
MATH 427 - Mathematical Statistics II
MATH 428 - Sampling Theory
MATH 438 - Data Analysis for Engnrs & Sci
MATH 448 - Time Series
MATH 491 - Mathematics Special Topics
MATH 497 - Mathematics Free Elective
MATH 498 - Mathematics Study Abroad
MATH 499 - MATH Independent Study

Applied Mathematics Representative Schedule

 

Freshman

Term 1
CS-211 Discrete Mathematics
ORTN-101 Student Orientation
MATH-101 Calculus I
COMM-101 Written & Oral Communication I
CHEM-136 Principles of Chemistry Lab
CHEM-135 Principles of Chemistry
Term 2
PHYS-114 Newtonian Mechanics
MATH-102 Calculus II
PHYS-115 Newtonian Mechanics Lab
ECON-201 Economic Principles
CS-101 Computing & Algorithms I

Sophomore

Term 1
-
Free Elective
MATH-307 Matrix Algebra
MATH-203 Multivariate Calculus
HUMN-201 Introduction to Humanities
Term 2
SSCI-201 Introduction to Social Science
PHYS-225 Electricity & Magnetism Lab
PHYS-224 Electricity & Magnetism
MATH-204 Diff Eq and Laplace Transforms
CHEM-145 Industrial Organic Chemistry
CHEM-146 Industrial Organic Chemistry Lab

Junior

Term 1
-
Concentration Elective
MATH-205 Applied Probability & Statistics
MATH-305 Numerical Methods & Matrices
COMM-301 Written & Oral Communication II
Term 2
-
Science Elective
-
Concentration Elective
MATH-317 Advanced Matrix Theory
MATH-313 Boundary Value Problems

Senior

Term 1
-
Advanced Humanities Elective
-
Concentration Elective
MATH-416 Vector Analysis
MATH-412 Complex Variables
MATH-328 Methods of Applied Mathematics
Term 2
-
Free Elective
MATH-423 Partial Differential Equations
-
Advanced Social Science Elective
MATH-420 Mathematical Modeling
MATH-321 Real Analysis I
Term 3
-
Free Elective
-
Free Elective
-
Free Elective
-
Concentration Elective
LS-489 Senior Seminar: Leadership, Ethics
 

 

The Applied Mathematics degree program will provide

  1. a broad, fundamental understanding of foundational, mathematical and computational concepts;
  2. the skills to use mathematics in modeling and solving real problems of mathematics, science, engineering, commerce and industry;
  3. productive employees to science, engineering, commerce, and industry and ensure the relevance of the Applied Mathematics program through interaction with employers; and
  4. continuing professional development of the mathematics faculty in the area of teaching, research, consulting, and necessary technological equipment.