# Applied Mathematics Major: Dynamics and Control Option (B.S.)

https://ceps.unh.edu/mathematics-statistics/program/bs/applied-mathematics-dynamics-control-option

Beginning in the 2022/23 academic year, the Applied Mathematics Major: Dynamics and Control option will no longer be accepting new students. Current students will continue to have access to the same high-quality education and resources until they graduate.

This degree program prepares students for employment and/or graduate study in a variety of fields and research specializations in which mathematics plays a critical role in the solution of important scientific and technological problems.

In all courses used to satisfy the requirements for its major programs, the Department of Mathematics and Statistics requires that a student earn a grade of C- or better and have an overall grade-point average of at least 2.00 in these courses.

## Major Requirements

MATH 425Calculus I4
MATH 426Calculus II4
MATH 445Mathematics and Applications with MATLAB4
or IAM 550 Introduction to Engineering Computing
MATH 527Differential Equations with Linear Algebra 14
MATH 528Multidimensional Calculus 14
MATH 531Mathematical Proof4
MATH 644Statistics for Engineers and Scientists 24
MATH 645Linear Algebra for Applications 14
MATH 753Introduction to Numerical Methods I4
PHYS 407General Physics I4
Capstone: Select one of the following
MATH 797Senior Seminar4
MATH 798Senior Project4
MATH 799Senior Thesis2 or 4
Total Credits50-52
1

The full Linearity sequence, MATH 525 and MATH 526, may be used to replace the MATH 527, MATH 528, and MATH 645 requirements.

MATH 525 may be used to replace the MATH 645 requirement.

2

Applied Mathematics: Economics Option students must take MATH 539 Introduction to Statistical Analysis.

## Dynamics and Control Option Requirements

PHYS 408General Physics II4
MATH 647Complex Analysis for Applications4
MATH 747Introduction to Nonlinear Dynamics and Chaos4
ME 525Statics3
or CEE 500 Statics for Civil Engineers
ME 627Dynamics3
ECE 633Signals and Systems I3
ECE 634Signals and Systems II3
ECE 772Control Systems4
One approved elective at the 600-700 level, selected in consultation with the academic advisor4
Total Credits32
Plan of Study Grid
First Year
FallCredits
MATH 425 Calculus I 4
PHYS 407 General Physics I 4
Discovery Course 4
Inquiry Course 4
MATH 400 Freshman Seminar 1
Credits17
Spring
MATH 426 Calculus II 4
MATH 445
Mathematics and Applications with MATLAB
or Introduction to Engineering Computing
4
PHYS 408 General Physics II 4
ENGL 401 First-Year Writing 4
Credits16
Second Year
Fall
MATH 528 Multidimensional Calculus 4
MATH 644 Statistics for Engineers and Scientists 4
ME 525 Statics 4
Discovery Course 4
Credits16
Spring
MATH 527 Differential Equations with Linear Algebra 4
MATH 531 Mathematical Proof 4
MATH 645 Linear Algebra for Applications 4
Discovery Course 4
Credits16
Third Year
Fall
MATH 647 Complex Analysis for Applications 4
ME 627 Dynamics 3
ECE 633 Signals and Systems I 3
Discovery Course 4
Elective Course 4
Credits18
Spring
MATH 747 Introduction to Nonlinear Dynamics and Chaos 4
ECE 634 Signals and Systems II 3
600/700-level Elective Course 4
Discovery Course 4
Credits15
Fourth Year
Fall
MATH 753 Introduction to Numerical Methods I 4
Discovery Course 4
Writing Intensive Course 4
Elective Course 4
Credits16
Spring
MATH 797
Senior Seminar
or Senior Project
or Senior Thesis
4
ECE 772 Control Systems 4
Writing Intensive Course 4
Elective Course 4
Credits16
Total Credits130
• Students recognize common mathematical notations and operations used in mathematics, science and engineering.
• Students can recognize and classify a variety of mathematical models including differential equations, linear and nonlinear systems of algebraic equations, and common probability distributions.
• Students have developed a working knowledge (including notation, terminology, foundational principles of the discipline, and standard mathematical models within the discipline) in at least one discipline outside of mathematics.
• Students are able to extract useful knowledge, both quantitative and qualitative, from mathematical models and can apply that knowledge to the relevant discipline.