Quantitative Literacy - 4 hours

These courses help you develop reasoning and numerical skills related to quantitative literacy. This content focuses on mathematics, exploratory data analysis, statistics, probability, or modeling.

1 credit hours

MAT 1005

A Brief Introduction to Mathematics (1 credit hours)

  • Availability:
  • Spring

This course is an introduction to mathematical problem solving. Emphasis is on the development of conceptual understanding rather than on computational drill. Using appropriate computational tools, including computers, is fundamental to the course. All sections cover personal finance. MAT 1005 is not open to students with 4 hours of QL credit. Prerequisite: 3 hours of QL credit.

STT 1805

A Brief Introduction to Statistics (1 credit hours)

  • Availability:
  • Spring

This course is an introduction to statistical thinking. Emphasis is on the development of conceptual understanding rather than on computational drill. Using appropriate computational tools, including computers, is fundamental to the course. The course will cover the statistical method, making and reading graphs, detecting bias, univariate statistics, categorical statistics, linear regression and some basic probability. STT 1805 is not open to students with 4 hours of QL credit. Prerequisite: 3 hours of QL credit.

3 credit hours

ECO 2100

Business and Economic Statistics I (3 credit hours)

  • Availability:
  • Fall
  • Spring

A study of statistical tools used to analyze business and economic problems. The major subject matter includes descriptive statistics, the concepts of probability, confidence intervals and hypothetical testing, and statistical comparisons of production and marketing Appalachian State University Undergraduate Bulletin 2009-2010 methods. Prerequisite: MAT 1030 or MAT 1020. (NUMERICAL DATA) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

STT 1810

Basic Statistics (3 credit hours)

  • Availability:
  • Fall
  • Spring

An introduction to statistical problem solving. Topics include organization and presentation of data; measures of location, variation, and association; the normal distribution, sampling distributions, and statistical inference. Emphasis will be on conceptual understanding and interpretation of results rather than theoretical development. Statistical software will be utilized in the analysis of data and in the development of statistical and probabilistic concepts. STT 1810 is not open to students with credit for STT 2810, STT 3850, or STT 4811. Prerequisite: MAT 1010 or equivalent. (NUMERICAL DATA; COMPUTER). (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

STT 2810

Introduction to Statistics (3 credit hours)

  • Availability:
  • Fall
  • Spring

An introduction to statistical problem solving and methodology. Topics include tabulation and graphical representations of univariate and bivariate data; probability, statistical distributions, confidence intervals and hypothesis testing. Emphasis will be on conceptual understanding and interpretation of results rather than theoretical development. Statistical software will be utilized in the analysis of data and in the development of statistical and probabilistic concepts. STT 2810 is not open to students with credit for STT 1810, STT 3850, or STT 4811. Prerequisite: MAT 1010 or equivalent. (NUMERICAL DATA; COMPUTER). (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

STT 3820

Statistical Methods I (3 credit hours)

  • Availability:
  • Fall
  • Spring

A continuation of STT 2810 or STT 2820. A study of parametric and non-parametric statistical methods and inferential procedures. Topics include introduction to methods of data collection such as simulation, surveys and experiments; single-parameter inference for means and proportions; techniques for comparing two distributions; error rates and power; inference for simple linear regression models and multiple regression least squares models; one-way and two-way analysis of variance models; and contingency table analysis. Nonparametric alternatives are presented for many methods in the course when the assumptions for parametric methods are not met. Emphasis is on a non-theoretical development of statistical techniques and on the interpretation of statistical results. Statistical software will be utilized in analysis of data. Prerequisite: STT 2810 or STT 2820 or equivalent. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

4 credit hours

CS 1445

Introduction to Programming with Interdisciplinary Applications (4 credit hours)

  • Availability:
  • On Demand

This course provides an introduction to problem solving and programming using tools such as MATLAB. The course emphasizes computational methods to solve scientific problems. Topics include: control structures, data types (including structures and arrays), parameterized procedures and recursion, as well as simple I/O control. Prerequisite: MAT 1020 or MAT 1025 or equivalent with a grade of "C-" or higher. Students with doubts about their mathematics and computing background should consider taking CS 1425 (Overview of Computer Science) as a prerequisite to CS 1445. (COMPUTER)

MAT 1010

Introduction to Mathematics (4 credit hours)

  • Availability:
  • Fall
  • Spring

This course is an introduction to mathematical problem solving. Emphasis is on the development of conceptual understanding rather than on computational drill. Using appropriate computational tools, including computers, is fundamental to the course. All sections cover personal finance and consumer statistics. One or two additional modules come from such disciplines as ecology, art, music, astrophysics, cryptology, resource allocation, construction, and election theory. MAT 1010 is not open to students with credit for MAT 1020, MAT 1025, MAT 1030, or MAT 1110. (CROSS DISCIPLINARY; NUMERICAL DATA; COMPUTER) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.) (CORE: MATHEMATICS)

MAT 1020

College Algebra with Applications (4 credit hours)

  • Availability:
  • Fall
  • Spring

A study of the algebraic concepts and their applications. Topics include algebraic relations and functions, equations, exponents and logarithms, inequalities, linear programming, and elementary probability. Problem solving will be emphasized throughout. Not open to students who have credit for MAT 1025, MAT 1030 or MAT 1110. Not appropriate preparation for MAT 1110. Prerequisite: must pass placement test or MAT 0010. (NUMERICAL DATA) (CORE: MATHEMATICS) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

MAT 1030

Calculus With Business Applications (4 credit hours)

  • Availability:
  • Fall
  • Spring

An introduction to the concepts of differentiation and integration with particular emphasis upon their applications to solving problems that arise in business and economics. This course is designed primarily for business and economics majors and is not open to mathematics majors or students with credit for MAT 1110. Prerequisite: MAT 1020 or MAT 1025 or equivalent. (NUMERICAL DATA; COMPUTER) (CORE: MATHEMATICS) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

MAT 1110

Calculus With Analytic Geometry I (4 credit hours)

  • Availability:
  • Fall
  • Spring

A study of limits, continuity, differentiation, applications of the derivative, the differential, the definite integral, the fundamental theorem, and applications of the definite integral. Prerequisite: MAT 1025 (with a grade of "C-" or higher) or equivalent. (NUMERICAL DATA) (CORE: MATHEMATICS) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)

STT 2820

Reasoning with Statistics (4 credit hours)

  • Availability:
  • Fall
  • Spring

An introduction to the design, analysis, and interpretation of statistical studies. Topics include representations for univariate and bivariate data distributions; designed methods for data collection and the role of randomness in statistical studies; probability and statistical distributions; statistical estimation, and statistical significance. Emphasis will be on the development of conceptual understanding and interpretation of results through simulation rather than a theoretical development. Statistical software will be utilized in the analysis of data in the development of statistical and probabilistic concepts. STT 2820 is not open to students with credit for STT 2810, STT 3850, or STT 4811. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: passing the math placement test or successful completion of MAT 0010.)