Department of Mathematical Sciences
College of Arts and Sciences
Mathematics and Computer Science Building
E-mail: math@math.kent.edu
Tel: 330-672-2430
Fax: 330-672-2209
Web: http://www.math.kent.edu
Applied Mathematics Major
Mathematics provides and excellent means for developing strong analytical and critical-thinking skills. The applied mathematics program emphasizes the tools that have been most useful historically in applications in science, engineering and technology: mathematical modeling, scientific computing, and probability and statistics.
Applied Mathematics Concentration—2009-2010 Roadmap [Degree Requirements]
The applied mathematics concentration emphasizes the classical aspects of the discipline, which are rooted in mathematical modeling and applications in the sciences. It couples well with physics as a minor or double major.
Computational Mathematics Concentration—2009-2010 Roadmap [Degree Requirements]
The computational mathematics concentration, designed for students with interests in numerical modeling and scientific computing, pairs well with computer science as a minor or double major.
Financial Mathematics Concentration—2009-2010 Roadmap [Degree Requirements]
The financial mathematics concentration prepares students for graduate programs in mathematical or computational finance or financial engineering, such as
Probability and Statistics Concentration—2009-2010 Roadmap [Degree Requirements]
The probability and statistics concentration emphasizes the mathematics underlying processes that involve randomness and the mathematical tools used in the analysis of data.
Applied Mathematics Minor
Course requirements for applied mathematics minor (25 credits):
Prerequisites | |||||
Choose one course from the following: | |||||
CS | * | 10051 | Introduction to Computer Science | 4 | |
10061 | Introduction to Computer Programming | 3 | |||
Minor Requirements | 19 | ||||
MATH | 12002 | Analytic Geometry and Calculus I | 5 | ||
12003 | Analytic Geometry and Calculus II | 5 | |||
21001 | Linear Algebra with Applications | 3 | |||
22005 | Analytic Geometry and Calculus III | 3 | |||
32044 | Introduction to Ordinary Differential Equations | 3 | |||
Elective Courses | 6 | ||||
Selected in consultation with the student's minor advisor. | |||||
MATH | ** | 23022 | Discrete Structures for Computer Science (3) | ||
** | 31011 | Discrete Mathematics (3) | |||
40011 | Introduction to probability Theory and Applications (3) | ||||
40012 | Introduction to Statistical Concepts (3) | ||||
40041 | Statistical Methods for Experiments (3) | ||||
40042 | Sampling Theory (3) | ||||
40051 | Topics in Probability Theory and Stochastic Processes (3) | ||||
41021 | Theory of Matrices (3) | ||||
42011 | Mathematical Optimization (3) | ||||
42031 | Mathematical Models and Dynamical Systems (3) | ||||
42041 | Advanced Calculus (3) | ||||
42045 | Introduction to Partial Differential Equations (3) | ||||
42048 | Introduction to Complex Variables (3) | ||||
42091 | Seminar: Modeling Projects (3) | ||||
42201 | Introduction to Numerical Computing I (3) | ||||
42202 | Introduction to Numerical Computing II (3) | ||||
Total |
25 |
* Students planning to take CS courses at the 20000-level or above must take CS 10051.
** Credit for both MATH 23022 and 31011 is not permitted.
Students planning to take CS courses at the 30000-level or above must take MATH 23022.
Minimum cumulative 2.00 GPA required for graduation.