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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)

Math 330

Linear Algebra or

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 (3 cr)

Math 462

Abstract Algebra or

Math 472

Introduction to Analysis 2 (3 cr)

Math 471

Introduction to Analysis 1 (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)

Stat 251

Statistical Methods or

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 1 (3 cr)

Math 472

Introduction to Analysis 2 (3 cr)

Supporting Courses:

CS 112

Introduction to Problem Solving and Programming or

CS 120

Computer Science I (3-4 cr )

Stat 426

SAS Programming (3 cr)

Stat 431

Statistical Analysis (3 cr)

One course selected from the following (3-4 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 353

Quantitative Economics and Forecasting (3 cr)

Math 453

Stochastic Models (3 cr)

Stat 422

Sample Survey 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)

Math 428

Numerical Methods or

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 (3 cr)

Math 462

Abstract Algebra (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 (4 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 1 (3 cr)

Math 472

Introduction to Analysis 2 (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:

CS 112

Introduction to Problem Solving and Programming or

CS 120

Computer Science I (3-4 cr)

Stat 301

Probability and Statistics or

Math 452

Mathematical Statistics (3 cr)

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

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 or

Bus 342

Product and Process Planning (3 cr)

CS 112

Introduction to Problem Solving and Programming or

CS 120

Computer Science I (3-4 cr)

Econ 201

Principles of Economics (3 cr)

Econ 202

Principles of Economics (3 cr)

Stat 251

Statistical Methods or

Stat 301

Probability and Statistics (preferred) (3 cr)

Stat 426

SAS Programming or

Stat 431

Statistical Analysis (3 cr)

Bus 339

Spreadsheet Modeling (1-3 cr)

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

Bus 302

Intermediate Financial Management (3 cr)

Bus 364

Insurance (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)

Econ 351

Intermediate Macroeconomic Analysis (3 cr)

Econ 352

Intermediate Microeconomic Analysis (3 cr)

Math 455

Applied Actuarial Science (1 cr)

One course selected from the following (3 cr):

Econ 353

Quantitative Economics and Forecasting (3 cr)

Stat 433

Econometrics (3 cr)

Stat 550

Regression (3 cr)

Courses to total 120 credits for this degree

F. Applied - Operations Research Option

The emphasis is on the mathematics used in the modeling and analysis of problems from business and industry.

Math courses:

Math 326

Linear Optimization (3 cr)

Math 426

Discrete Optimization (3 cr)

Math 451

Probability Theory (3 cr)

Math 453

Stochastic Models (3 cr)

Math 476

Combinatorics (3 cr)

At least one course from the following (3 cr):

Math 310

Ordinary Differential Equations (3 cr)

Math 376

Discrete Mathematics II (3 cr)

Math 452

Mathematical Statistics (3 cr)

Stat 431

Statistical Analysis (3 cr)

Any other 400-level math course

Supporting courses:

Acct 201

Introduction to Financial Accounting (3 cr)

Acct 202

Introduction to Managerial Accounting (3 cr)

Bus 370

Introduction to Operations Management (3 cr)

CS 112

Introduction to Problem Solving and Programming or

CS 120

Computer Science I (3-4 cr)

Stat 251

Statistical Methods or

Stat 301

Probability and Statistics (preferred) (3 cr)

Four of the following courses (two must be above 400) (12 cr):

Bus 350

Management Information Systems (3 cr)

Bus 355

Systems Analysis and Design (3 cr)

Bus 378

Project Management (3 cr)

Bus 439

Systems and Simulation (3 cr)

Bus 456

Quality Management (3 cr)

Bus 472

Operations Planning and Scheduling (3 cr)

Econ 453/ Stat 433

Econometrics (3 cr)

Courses to total 120 credits for this degree