Graduate Certificate in Applied Mathematics
The objectives of this interdisciplinary certificate program focus
on providing graduate students of Kansas State University with both
fundamental Applied Mathematics training as well as experience in
applying this training to relevant problems in science and engineering
disciplines. The
analytical and computational skills provided by this certificate
program
form a firm foundation for the careers of graduate students in
Mathematics, Statistics, Engineering and the Sciences by preparing
these students to participate in cutting-edge multidisciplinary
research projects.
The Certificate in Applied Mathematics is a 12-credit program
administered
within the
Department of
Mathematics and through the offices of the Center for the Integration
of
Undergraduate, Graduate and Postdoctoral Research (
I-Center).
Certificate Supervisory Committee:
The interdisciplinary Supervisory Committee for the Graduate
Certificate in Applied Mathematics is formed by Professors
Nathan Albin (Chair of the
Committee and Coordinator of the Certificate program, MATH),
Todd Easton
(IMSE),
Diego Maldonado (MATH),
Virginia Naibo (I-Center
Director, MATH),
Bala Natarajan (ECE), and
Haiyan Wang (STAT).
Admission Requirements:
To gain admission to the Certificate program, the student must be
approved for admission by the
Certificate Supervisory Committee and by the Graduate School.
Admission requires evidence of
completion of a bachelor's degree from an accredited university with
minimum GPA as established
by the Graduate School; or concurrent enrollment in a graduate degree
program at Kansas State
University or an accredited University. In instances where the graduate
certificate program is not
linked with a graduate degree program at Kansas State University, the
student must meet the
entrance requirements for graduate study, including English language
proficiency requirements as
specified in
Chapter 1 of the Graduate School Handbook
and relevant
documentation must be
forwarded to the Graduate School before the student can be admitted.
Application Process:
Students
should apply directly to
the Coordinator of the graduate certificate program, Professor
Nathan Albin, who will forward
the Certificate Supervisory
Committee's recommendation for admission to the Graduate School.
Program Format:
The required coursework for the Certificate in Applied Mathematics
consists of a minimum of 12 credit hours, including 6 credit hours in
two required core mathematics courses and at least 6 additional credit
hours in elective courses from various disciplines.
Core Courses (6 credit hours)
The required core courses are
MATH 715 Applied Mathematics I
| 3 credits
MATH 716 Applied Mathematics
II | 3 credits
Elective Courses (minimum of 6 credit hours)
The elective courses can be chosen from MATH, IMSE, ECE, CE, and STAT,
according to the following list
Mathematics
MATH 615 Introduction to
Digital Image Processing | 3 credits
MATH 635 Dynamics, Chaos, and
Fractals | 3 credits
MATH 789 Combinatorial Analysis
| 3 credits
Industrial and Manufacturing Systems Engineering
IMSE 881 Linear Programming | 3
credits
IMSE 882 Network Flows and
Graph Theory | 3 credits
IMSE 884 Integer Programming
and Combinatorial Optimization | 3 credits
IMSE 982 Nonlinear Programming
| 3 credits
Electrical and Computer Engineering
ECE 840 Computer Engineering
Methods for Analysis, Simulation, and Design | 3 credits
ECE 861 Noise Theory | 3
credits
ECE 963 Signal Detection Theory
| 3 credits
ECE 965 Information Theory | 3
credits
Civil Engineering
CE 803 Numerical and Analytic Techniques for Engineers | 3
credits
Statistics
STAT 704 Analysis of Variance |
2 credits
STAT 705 Regression and
Correlation Analysis | 2 credits
STAT 710 Sample Survey Methods
| 2 credits
STAT 713 Applied Linear
Statistical Models | 4 credits
STAT 716 Nonparametric
Statistics | 2 credits
STAT 717 Categorical Data
Analysis | 3 credits
STAT 720 Design of Experiments
| 3 credits .
STAT 722 Experimental Design
for Product Development and Quality Improvement | 3 credits
STAT 730 Multivariate
Statistical Methods | 3 credits
STAT 736 Bioassay | 2 credits
STAT 745 Statistical Graphics |
3 credits
