Business Analytics (B.S., B.A.)

A study of functions from algebraic, graphical, numerical and modeling perspectives. The functions are chosen from among linear, polynomial, rational, exponential and logarithmic.
Prerequisite(s): Math ACT score of at least 21.
(Normally offered each semester.)

An introduction to descriptive and inferential statistics. Topics include gathering, organizing, interpreting, and presenting data with emphasis on hypothesis testing as a method for decision making in the fields of business and economics. Procedures include z-tests, t-tests, ANOVAs, correlation, and simple regression.
Cross listed with ECON 2100.
Prerequisite(s): Demonstrated proficiency in high school algebra or permission of the instructor.
(Normally offered each semester.)

An introduction to statistics concepts with an emphasis on applications. Topics include descriptive statistics, discrete and continuous probability distributions, the central limit theorem, confidence intervals, hypothesis testing, and linear regression.
(Normally offered each fall semester.)

This course introduces students to the statistical techniques commonly used to answer questions concerning the political world. This course teaches students how to construct and describe data, examine relationships between variables, and build and evaluate statistical models. In addition, students will learn to apply these statistical techniques to draw conclusions about the political world and make policy decisions. Throughout the semester, students will be introduced to the datasets, software, and techniques most commonly employed in the quantitative analysis of politics and policy.

(Normally offered each spring semester.)

An introduction to descriptive and inferential statistics as decision-making guides in psychology and related fields. Topics include organization, analysis, presentation, and interpretation of data with emphasis on the hypothesis testing model of inference. Specific procedures include z-tests, t-tests, analysis of variance, and correlation. A laboratory section is required for computational experience.
Prerequisite(s): PSYCH 1010/PSYCH 1010FYW Introduction to Psychological Science and sophomore standing.
Recommended: College level mathematics course.
(Normally offered each semester.)

In this course students are introduced to descriptive and inferential statistics and their applications to sociological research. Statistical procedures include central tendency measures, variability, t-test, one-way ANOVA, correlation, regression, and chi square. The course also includes specific training in using SPSS for analysis.
Prerequisite(s): SOC 1110 Introduction to Sociology.
(Normally offered each spring semester.)

A study of managing, manipulating, and summarizing data using Excel and SQL. Topics in Excel include, but are not limited to: functions, filters, charts and visualizations, pivot tables, and macros. Topics in SQL include, but are not limited to: queries, joins, and basic database management.

An introduction to data analytics from three perspectives: inferential thinking, computational thinking and real-world relevance. Topics include, but are not limited to: organizing real-world data by filtering, sorting, and using pivot tables; exploring data; visualizing data; using programming tools to analyze data through a statistical lens. Statistical topics include: center and spread of data, descriptive statistics, inferential statistics, regression, causality, classification and prediction.

This is an introduction to the basic accounting model and the framework for developing financial statements. The major focus is on the study of generally accepted accounting principles as they apply to the measurement of income and the presentation of a firm's financial position.
(Normally offered each semester.)

The role of accounting in the formation and capitalization of corporations is studied. Other topics include cash flow, analysis and interpretation of financial statements, and basic managerial accounting.
Prerequisite(s): Grade of "C-" or better in ACCT 1310 Principles of Accounting I.
(Normally offered each semester.)

An examination of the microeconomic theories, problems, and policies of the U.S. economy. Topics include the theory of the firm, market structures, and current economic issues such as income distribution, antitrust policy, poverty, the farm problem, and international trade.
Prerequisite(s): ECON 1530 Macroeconomic Principles strongly recommended.
(Normally offered each semester.)

This course offers an introduction to the methodology and estimation of econometric models. We will do basic econometrics analysis, including simple and multiple regression analysis, ordinary least squares, binary models, cross section and time series analysis, hypothesis testing, model selection and specification, and data problems.

Prerequisite(s): ECON 1530 Macroeconomic Principles or ECON 1540 Microeconomic Principles and BUSAD 2100/ECON 2100 Business and Economic Statistics or similar statistics class from another department.

This course will review the basics of effective oral and written communication and apply these basics to business writing and presentations. A variety of individual and collaborative projects, including memos, letters, and reports, will emphasize the process of drafting, revising, and editing business communications.
Prerequisite(s):  Business Administration, Accounting, Economics, International Business, or Sport Management major.

Each student must work with the department internship coordinator to obtain a business-related internship related to the specific area of emphasis or interest of the student. This course presents each student the opportunity for work-related application of business interest. Under special circumstances, a second internship may be taken for credit with the approval of the business department chair and the internship coordinator.
No Pass/Fail.
Prerequisite(s): Junior standing or permission of the department internship coordinator.
(Normally offered each semester.)