# Bachelor of Science in Applied Mathematics

## Required Courses

Code | Title | Credit Hours |
---|---|---|

Applied Mathematics Requirements | (42) | |

MATH 100 | Introduction to the Profession | 3 |

MATH 151 | Calculus I | 5 |

MATH 152 | Calculus II | 5 |

MATH 230 | Introduction to Discrete Math | 3 |

MATH 251 | Multivariate and Vector Calculus | 4 |

MATH 252 | Introduction to Differential Equations | 4 |

MATH 332 | Elementary Linear Algebra | 3 |

MATH 350 | Introduction to Computational Mathematics | 3 |

MATH 380 | Introduction to Mathematical Modeling | 3 |

MATH 400 | Real Analysis | 3 |

Select one of the following: | 3 | |

Number Theory | 3 | |

Applied Algebra | 3 | |

Computational Algebraic Geometry | 3 | |

Graph Theory and Applications | 3 | |

MATH 475 | Probability | 3 |

Applied Mathematics Electives | (18) | |

Select 18 credit hours ^{1} | 18 | |

Minor Requirement | (15) | |

Select five related courses from an area outside of applied mathematics | 15 | |

Computer Science Requirements | (4-6) | |

Select one of the following sequences: | 4-6 | |

Object-Oriented Programming I and Object-Oriented Programming II | 4 | |

Introduction to Computer Programming for Engineers and Accelerated Introduction to Computer Science | 6 | |

Introduction to Computer Programming and Accelerated Introduction to Computer Science | 6 | |

Science Requirement | (4) | |

PHYS 123 | General Physics I: Mechanics | 4 |

Science Electives | (9) | |

Select nine credit hours | 9 | |

Humanities and Social Science Requirements | (21) | |

See IIT Core Curriculum, sections B and C | 21 | |

Interprofessional Projects (IPRO) | (6) | |

See IIT Core Curriculum, section E | 6 | |

Free Electives | (9) | |

Select nine credit hours | 9 |

**Minimum degree credits required: 128**

^{1} | Applied mathematics electives are to be chosen after consultation with an academic adviser. Student goals, interests, and course availability should be determining factors in this selection process. The optional specializations on the Specializations tab may also serve as a guide to applied mathematics elective selection. |

## Bachelor of Science in Applied Mathematics Curriculum

Year 1 | |||
---|---|---|---|

Semester 1 | Credit Hours | Semester 2 | Credit Hours |

MATH 100 | 3 | MATH 152 | 5 |

MATH 151 | 5 | MATH 230 | 3 |

Computer Science Course^{1} | 2 | Computer Science Course^{1} | 2 |

Science Elective | 3 | PHYS 123 | 4 |

Humanities 200-level Course | 3 | Social Sciences Elective | 3 |

16 | 17 | ||

Year 2 | |||

Semester 1 | Credit Hours | Semester 2 | Credit Hours |

MATH 251 | 4 | MATH 252 | 4 |

MATH 332 | 3 | MATH 380 | 3 |

Minor Elective | 3 | Minor Elective | 3 |

Science Elective | 3 | Science Elective | 3 |

Humanities or Social Sciences Elective | 3 | Social Sciences Elective (300+) | 3 |

16 | 16 | ||

Year 3 | |||

Semester 1 | Credit Hours | Semester 2 | Credit Hours |

MATH 430 or 431^{2} | 3 | MATH 350 | 3 |

MATH 475 | 3 | MATH 410 or 454^{2} | 3 |

Applied Mathematics Elective^{3} | 3 | Applied Mathematics Elective^{3} | 3 |

Minor Elective | 3 | IPRO Elective I | 3 |

Humanities Elective (300+) | 3 | Minor Elective | 3 |

Free Elective | 3 | ||

18 | 15 | ||

Year 4 | |||

Semester 1 | Credit Hours | Semester 2 | Credit Hours |

MATH 400 | 3 | IPRO Elective II | 3 |

Minor Elective | 3 | Applied Mathematics Elective^{3} | 3 |

Applied Mathematics Elective^{3} | 3 | Applied Mathematics Elective^{3} | 3 |

Social Sciences Elective (300+) | 3 | Humanities Elective (300+) | 3 |

Free Elective | 3 | Free Elective | 3 |

15 | 15 | ||

Total Credit Hours: 128 |

^{1} | Students must complete one of the following computer science sequences: CS 115 and CS 116, CS 104 and CS 201, or CS 105 and CS 201. |

^{2} | Applied mathematics majors are required to take one of the following: MATH 410, MATH 430, MATH 431, or MATH 454. MATH 430 and MATH 431 are offered only during fall semesters; MATH 410 and MATH 454 are offered only during spring semesters. If a student chooses to take only one of these courses, then the other slot is to be interpreted as an applied mathematics elective. |

^{3} | Applied mathematics electives are to be chosen after consultation with an academic adviser. Student goals, interests, and course availability should be determining factors in this selection process. The optional specializations on the Specializations tab may also serve as a guide to applied mathematics elective selection. |

## Applied Mathematics Specializations

In addition to the general B.S. in Applied Mathematics degree, the department offers five special five-course sequences that may be used as a guide for the selection of mathematics electives and will prepare the student for a career in:

- business/finance
- industrial research
- graduate school

Choosing any of the following specializations is optional.

### Specialization in Applied Analysis

Program adviser: J. Duan

Applied analysis is one of the foundations for interdisciplinary applied mathematics. The principles of analysis are applied to such areas as partial differential equations, dynamical systems, and numerical analysis. The basic framework, concepts, and techniques of modern mathematical analysis are essential for modeling, analysis, and simulation of complicated phenomena in engineering and science.

#### Required Courses

Code | Title | Credit Hours |
---|---|---|

MATH 380 | Introduction to Mathematical Modeling | 3 |

MATH 400 | Real Analysis | 3 |

MATH 461 | Fourier Series and Boundary-Value Problems | 3 |

MATH 488 | Ordinary Differential Equations and Dynamical Systems | 3 |

MATH 489 | Partial Differential Equations | 3 |

Closely related courses which are recommended as additional electives include: | ||

MATH 402 | Complex Analysis | 3 |

MATH 478 | Numerical Methods for Differential Equations | 3 |

MATH 486 | Mathematical Modeling I | 3 |

MATH 380 and MATH 400 are required for all applied mathematics majors. The other three courses count toward MATH electives.

Recommended minors include: Physics or an engineering minor.

### Specialization in Computational Mathematics

Program adviser: X. Li

The use of computation/simulation as a third alternative to theory and experimentation is now common practice in many branches of science and engineering. Many scientific problems that were previously inaccessible have seen tremendous progress from the use of computation (e.g., many-body simulations in physics and chemistry, simulation of semi-conductors, etc.). Researchers and scientists in these areas must have a sound training in the fundamentals of computational mathematics and become proficient in the use and development of new algorithms and analytical techniques as they apply to modern computational environments.

#### Required Courses

Code | Title | Credit Hours |
---|---|---|

MATH 350 | Introduction to Computational Mathematics | 3 |

MATH 435 | Linear Optimization | 3 |

or MATH 461 | Fourier Series and Boundary-Value Problems | |

MATH 476 | Statistics | 3 |

MATH 477 | Numerical Linear Algebra | 3 |

MATH 478 | Numerical Methods for Differential Equations | 3 |

Closely related courses which are recommended as additional electives include: | ||

MATH 431 | Computational Algebraic Geometry | 3 |

MATH 435 | Linear Optimization ^{1} | 3 |

MATH 461 | Fourier Series and Boundary-Value Problems ^{1} | 3 |

MATH 484 | Regression and Forecasting | 3 |

MATH 486 | Mathematical Modeling I | 3 |

MATH 488 | Ordinary Differential Equations and Dynamical Systems | 3 |

MATH 489 | Partial Differential Equations | 3 |

^{1} | Only if not already counted as a required course. |

MATH 350 is required for all applied mathematics majors. The other four courses count toward MATH electives.

Recommended minors include: Artificial Intelligence, Computational Structures, or Software Engineering.

### Specialization in Discrete Applied Mathematics

Program adviser: M. Pelsmajer

Discrete applied mathematics is a fairly young branch of mathematics and is concerned with using combinatorics, graph theory, optimization, and portions of theoretical computer science to attack problems in engineering as well as the hard and soft sciences.

#### Required Courses

Code | Title | Credit Hours |
---|---|---|

MATH 332 | Elementary Linear Algebra | 3 |

MATH 430 | Applied Algebra | 3 |

MATH 435 | Linear Optimization | 3 |

MATH 453 | Combinatorics | 3 |

MATH 454 | Graph Theory and Applications | 3 |

Closely related courses which are recommended as additional electives include: | ||

MATH 410 | Number Theory | 3 |

MATH 431 | Computational Algebraic Geometry | 3 |

MATH 332 is required for all applied mathematics majors, and MATH 430 or MATH 454 satisfies the discrete mathematics core requirement. The other three courses count toward MATH electives.

Recommended minors include: Artificial Intelligence, Computational Structures, or Computer Networking.

### Specialization in Mathematical Finance

Program adviser: T. Bielecki

Students who choose this specialization may qualify for admission to the Master of Mathematical Finance program—a collaborative program between the Stuart School of Business and the Department of Applied Mathematics. The objective of the MMF program is to provide individuals interested in pursuing careers in the finance industry with advanced education in theoretical, computational, and business aspects of relevant quantitative methodologies.

A business or entrepreneurship minor is required. See the Minors section for more details.

#### Required Courses

Code | Title | Credit Hours |
---|---|---|

MATH 475 | Probability | 3 |

MATH 476 | Statistics | 3 |

MATH 478 | Numerical Methods for Differential Equations | 3 |

MATH 481 | Introduction to Stochastic Processes | 3 |

MATH 485 | Introduction to Mathematical Finance | 3 |

Closely related courses which are recommended as additional electives include: | ||

MATH 461 | Fourier Series and Boundary-Value Problems | 3 |

MATH 477 | Numerical Linear Algebra | 3 |

MATH 483 | Design and Analysis of Experiments | 3 |

MATH 484 | Regression and Forecasting | 3 |

MATH 486 | Mathematical Modeling I | 3 |

MATH 489 | Partial Differential Equations | 3 |

MATH 475 is required for all applied mathematics majors. The other four courses count toward MATH electives.

### Specialization in Stochastics

Program Adviser: I. Cialenco

Stochastics includes traditional statistics (the methods of data analysis and inference) and probability (the modeling of uncertainty and randomness). However, also included are other areas where stochastic methods have been becoming more important in recent years such as stochastic processes, stochastic integration, stochastic dynamics, stochastic partial differential equations, probabilistic methods for analysis, mathematical finance, discrete mathematics, and computational methods for stochastic systems.

#### Required Courses

Code | Title | Credit Hours |
---|---|---|

MATH 475 | Probability | 3 |

MATH 476 | Statistics | 3 |

MATH 481 | Introduction to Stochastic Processes | 3 |

MATH 485 | Introduction to Mathematical Finance | 3 |

MATH 488 | Ordinary Differential Equations and Dynamical Systems | 3 |

Closely related courses which are recommended as additional electives include: | ||

MATH 453 | Combinatorics | 3 |

MATH 483 | Design and Analysis of Experiments | 3 |

MATH 484 | Regression and Forecasting | 3 |

MATH 486 | Mathematical Modeling I | 3 |

MATH 475 is required for all applied mathematics majors. The other four courses count toward MATH electives.