Applied Mathematics Major: Computation Option (B.S.)
https://ceps.unh.edu/mathematics-statistics/program/bs/applied-mathematics-computation-option
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.
Degree Requirements
Minimum Credit Requirement: 128 credits
Minimum Residency Requirement: 32 credits must be taken at UNH
Minimum GPA: 2.0 required for conferral*
Core Curriculum Required: Discovery & Writing Program Requirements
Foreign Language Requirement: No
All Major, Option and Elective Requirements as indicated.
*Major GPA requirements as indicated.
Major Requirements
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.
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| MATH 425 | Calculus I | 4 |
| MATH 426 | Calculus II | 4 |
| MATH 445 | Mathematics and Applications with MATLAB | 4 |
| or IAM 550 | Introduction to Engineering Computing | |
| MATH 527 | Differential Equations with Linear Algebra 1 | 4 |
| MATH 528 | Multidimensional Calculus 1 | 4 |
| MATH 531 | Mathematical Proof | 4 |
| MATH 644 | Statistics for Engineers and Scientists 2 | 4 |
| MATH 645 | Linear Algebra for Applications 1 | 4 |
| MATH 753 | Introduction to Numerical Methods I | 4 |
| PHYS 407 | General Physics I | 4 |
| Capstone | ||
| Select one of the following: | 4 | |
| Senior Seminar | ||
| Senior Project | ||
| Senior Thesis | ||
| Total Credits | 44 | |
| Code | Title | Credits |
|---|---|---|
| Computation Option Requirements | ||
| PHYS 408 | General Physics II | 4 |
| MATH 647 | Complex Analysis for Applications | 4 |
| MATH 745 | Foundations of Applied Mathematics I | 4 |
| CS 415 & CS 416 | Introduction to Computer Science I and Introduction to Computer Science II | 8 |
| CS 420 | Foundations of Programming for Digital Systems | 4 |
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| CS 659 | Introduction to the Theory of Computation | 4 |
| CS 758 | Algorithms | 4 |
| IAM 751 | Introduction to High-Performance Computing | 4 |
| Total Credits | 40 | |
| First Year | ||
|---|---|---|
| Fall | Credits | |
| MATH 425 | Calculus I | 4 |
| CS 415 | Introduction to Computer Science I | 4 |
| Discovery Course | 4 | |
| Inquiry Course | 4 | |
| MATH 400 | Freshman Seminar | 1 |
| Credits | 17 | |
| Spring | ||
| MATH 426 | Calculus II | 4 |
| MATH 445 or IAM 550 | Mathematics and Applications with MATLAB or Introduction to Engineering Computing | 4 |
| CS 416 | Introduction to Computer Science II | 4 |
| ENGL 401 | First-Year Writing | 4 |
| Credits | 16 | |
| Second Year | ||
| Fall | ||
| MATH 528 | Multidimensional Calculus | 4 |
| MATH 531 | Mathematical Proof | 4 |
| PHYS 407 | General Physics I | 4 |
| CS 420 | Foundations of Programming for Digital Systems | 4 |
| Credits | 16 | |
| Spring | ||
| MATH 527 | Differential Equations with Linear Algebra | 4 |
| MATH 644 | Statistics for Engineers and Scientists | 4 |
| PHYS 408 | General Physics II | 4 |
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| Credits | 16 | |
| Third Year | ||
| Fall | ||
| MATH 647 | Complex Analysis for Applications | 4 |
| MATH 753 | Introduction to Numerical Methods I | 4 |
| CS 659 | Introduction to the Theory of Computation | 4 |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| MATH 645 | Linear Algebra for Applications | 4 |
| IAM 751 | Introduction to High-Performance Computing | 4 |
| CS 758 | Algorithms | 4 |
| Discovery Course | 4 | |
| Credits | 16 | |
| Fourth Year | ||
| Fall | ||
| MATH 745 | Foundations of Applied Mathematics I | 4 |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| Writing Intensive Course | 4 | |
| Credits | 16 | |
| Spring | ||
| MATH 797 | Senior Seminar or Senior Project or Senior Thesis | 4 |
| Discovery Course | 4 | |
| Writing Intensive Course | 4 | |
| Elective Course | 4 | |
| Credits | 16 | |
| Total Credits | 129 | |
- 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.