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Mathematics (B.S.)

Required course work includes the university requirements (see regulation J-3) and:

Basic Courses:

Math 170

Analytic Geometry and Calculus I (4 cr)

Math 175

Analytic Geometry and Calculus II (4 cr)

Math 275

Analytic Geometry and Calculus III (3 cr)

One of the following (3 cr):

Math 330

Linear Algebra (3 cr)

Math 430

Advanced Linear Algebra (3cr)

And one of the following options:

A. General Option

This is the traditional curriculum in Mathematics. It is more mathematically rigorous than the other options. It is especially good for secondary education majors and students intending to go to graduate school in Mathematics or other sciences.

Math Courses:

Math 215

Introduction to Higher Mathematics (3 cr)

Math 310

Ordinary Differential Equations (3 cr)

Math 461

Abstract Algebra I (3 cr)

Math 471

Introduction to Analysis I (3 cr)

One of the following (3 cr):

Math 462

Abstract Algebra II (3 cr)

Math 472

Introduction to Analysis II (3 cr)

One of the following (9-10):

Three credits in Math electives numbered above 310 and six additional credits chosen from Math 385, ECE 455, Stat 431, or any Math course numbered above 400.

or

EDCI 401 plus an additional nine credits chosen from ECE 455, Stat 301, Stat 431, or any Math elective numbered above 310.

Supporting Courses:

Phys 211

Engineering Physics I (3 cr)

Phys 212

Engineering Physics II (3 cr)

One of the following (3 cr):

Stat 251

Statistical Methods (3 cr)

Stat 301

Probability and Statistics (3 cr)

Courses to total 120 credits for this degree

B. Applied - Statistics Option

The emphasis is on the design and analysis of experiments. With a major or minor in another department this is an excellent preparation for work in industry or for graduate school in Statistics.

Math Courses:

Math 451

Probability Theory (3 cr)

Math 452

Mathematical Statistics (3 cr)

At least two courses from the following (6 cr):

Math 395

Analysis of Algorithms (3 cr)

Math 426

Discrete Optimization (3 cr)

Math 428

Numerical Methods (3 cr)

Math 432

Numerical Linear Algebra (3 cr)

Math 471

Introduction to Analysis I (3 cr)

Math 472

Introduction to Analysis II (3 cr)

Supporting Courses:

Stat 426

SAS Programming (3 cr)

Stat 431

Statistical Analysis (3 cr)

One course selected from the following (3 cr):

CS 112

Computational Thinking and Problem Solving (3 cr)

CS 120

Computer Science I (4 cr )

One course selected from the following (3 cr):

Stat 251

Statistical Methods (3 cr)

Stat 301

Probability and Statistics (recommended) (3 cr)

At least two courses from the following (6 cr):

Econ 453

Econometrics (3 cr)

Math 453

Stochastic Models (3 cr)

Stat 422

Survey Sampling Methods (3 cr)

Stat 507

Experimental Design (3 cr)

Stat 550

Regression (3 cr)

Stat 514

Nonparametric Statistics (3 cr)

Stat 519

Multivariate Analysis (3 cr)

Stat 555

Statistical Ecology (3 cr)

Approved electives in fields where statistics is applied (not to be in Statistics (Stat) courses) (6 cr)

Courses to total 120 credits for this degree

C. Applied - Computation Option

The emphasis is on the mathematics related to computer science and technology. With a major or minor in computer sciences this is a good preparation for work in the computer industry.

Math courses:

Math 176

Discrete Mathematics (3 cr)

Math 310

Ordinary Differential Equations (3 cr)

Math 385

Theory of Computation (3 cr)

Math 395

Analysis of Algorithms (3 cr)

One of the following (3 cr):

Math 428

Numerical Methods (3 cr)

Math 432

Numerical Linear Algebra (3 cr)

One of the following (3 cr):

ECE 455

Information and Coding Theory (3 cr)

Math 326

Linear Optimization (3 cr)

Math 376

Discrete Mathematics II (3 cr)

Stat 301

Probability and Statistics (3 cr)

Stat 431

Statistical Analysis (3 cr)

Any 400-level Math course

Three additional courses from the following (9 cr):

Math 415

Cryptography (3 cr)

Math 426

Discrete Optimization (3 cr)

Math 428

Numerical Methods (3 cr)

Math 430

Advanced Linear Algebra (3 cr)

Math 432

Numerical Linear Algebra (3 cr)

Math 451

Probability Theory (3 cr)

Math 461

Abstract Algebra I (3 cr)

Math 462

Abstract Algebra II (3 cr)

Math 476

Combinatorics (3 cr)

Math 480

Partial Differential Equations (3 cr)

Supporting courses:

CS 120

Computer Science I (4 cr)

CS 121

Computer Science II (3 cr)

Courses to total 120 credits for this degree

D. Applied – Scientific Modeling Option

The emphasis is on the mathematics used to model phenomena in the sciences. With a second major in a science this provides ideal preparation for graduate school.

Math courses:

Math 310

Ordinary Differential Equations (3 cr)

Math 451

Probability Theory (3 cr)

One of the following (3 cr):

ECE 455

Information and Coding Theory (3 cr)

Math 437

Mathematical Biology (3 cr)

WLF 552

Ecological Modeling (3 cr)

Five additional courses from the following (15 cr):

ECE 350

Signals and Systems I (3 cr)

ECE 450

Signals and Systems II (3 cr)

ECE 455

Information and Coding Theory (3 cr)

Math 326

Linear Optimization (3 cr)

Math 371

Mathematical Physics (3 cr)

Math 376

Discrete Mathematics II (3 cr)

Math 415

Cryptography (3 cr)

Math 420

Complex Variables (3 cr)

Math 426

Discrete Optimization (3 cr)

Math 428

Numerical Methods (3 cr)

Math 432

Numerical Linear Algebra (3 cr)

Math 437

Mathematical Biology (3 cr)

Math 452

Mathematical Statistics (3 cr)

Math 453

Stochastic Models (3 cr)

Math 471

Introduction to Analysis I (3 cr)

Math 472

Introduction to Analysis II (3 cr)

Math 476

Combinatorics (3 cr)

Math 480

Partial Differential Equations (3 cr)

Stat 301

Probability and Statistics (3 cr)

WLF 552

Ecological Modeling (3 cr)

Supporting courses:

Two courses at the 300 level or above in one area of science, engineering, or other quantitative area.

One of the following (3-4 cr):

CS 112

Computational Thinking and Problem Solving (3 cr)

CS 120

Computer Science I (4 cr)

One of the following (3 cr):

Stat 301

Probability and Statistics (3 cr)

Math 452

Mathematical Statistics (3 cr)

Courses to total 120 credits for this degree

E. Applied - Actuarial Science and Finance Option

This curriculum provides the background to become an actuary and work in the insurance industry, or to work in finance.

Math courses:

Math 310

Ordinary Differential Equations (3 cr)

Math 451

Probability Theory (3 cr)

Math 452

Mathematical Statistics (3 cr)

Three additional courses chosen from Math courses numbered above 400 or Stat 422 (9 cr)

Supporting courses:

Acct 201

Introduction to Financial Accounting (3 cr)

Acct 202

Introduction to Managerial Accounting (3 cr)

Bus 301

Financial Management (3 cr)

Stat 431

Statistical Analysis (3 cr)

One of the following choices (4-6 cr):

Econ 201

Principles of Macroeconomics (3 cr)

Econ 202

Principles of Microeconomics (3 cr)

OR

Econ 272

Foundations of Economic Analysis (4 cr)

One of the following (3-4 cr):

CS 112

Computational Thinking and Problem Solving (3 cr)

CS 120

Computer Science I (4 cr)

One of the following (3 cr):

Stat 251

Statistical Methods (3 cr)

Stat 301

Probability and Statistics (preferred) (3 cr)

One of the following (1-3 cr):

Bus 339

Spreadsheet Modeling (1 cr)

Stat 426

SAS Programming (3 cr)

At least three courses selected from the following (7-9 cr):

Bus 302

Intermediate Financial Management (3 cr)

Bus 381

International Finance (3 cr)

Bus 408

Security Analysis (3 cr)

Bus 463

Portfolio Management (3 cr)

Bus 464

Derivatives and Risk Management (3 cr)

Bus 465

Introduction to Market Trading (3 cr)

Bus 469

Risk and Insurance (3 cr)

Econ 351

Intermediate Macroeconomic Analysis (3 cr)

Econ 352

Intermediate Microeconomic Analysis (3 cr)

Math 455

Applied Actuarial Science (1 cr)

One of the following (3 cr):

Stat 433

Econometrics (3 cr)

Stat 550

Regression (3 cr)

Courses to total 120 credits for this degree

F. Applied - Mathematical Biology Option

This option offers training across Mathematics and Biology and provides the background to pursue a career in technical industries and to obtain graduate degrees in Biomathematics, Biostatistics, and Bioinformatics

Math and Statistics courses:

Math 437

Mathematical Biology (3 cr)

Math 451 or Stat 451

Probability Theory (3 cr)

Math 452 or Stat 452

Mathematical Statistics (3 cr)

One course from the following (3 cr):

Stat 251

Statistical Methods (3 cr)

Stat 301

Probability and Statistics (3 cr)

Two courses from the following (6 cr):

Math 310

Ordinary Differential Equations (3 cr)

Math 453

Stochastic Models (3 cr)

Stat 431

Statistical Analysis (3 cr)

Two courses from the following (6 cr):

Math 428

Numerical Methods (3 cr)

Math 430

Advanced Linear Algebra (3 cr)

Math 480

Partial Differential Equations (3 cr)

Biology courses:

Biol 114

Organisms and Environments (4 cr)

Biol 115

Cells and the Evolution of Life (4 cr)

Biol 310

Genetics (3 cr)

Biol 456

Computer Skills for Biologists (3 cr)

12 credits of Biology courses at the 300-level or above (12 cr)

Supporting courses:

Chem 111

Principles of Chemistry I (4 cr)

Courses to total 120 credits for this degree