Other Courses Approved for B.S. Credit

MIS 173 - Information Systems and Business Applications (3 hours) (effective since 15FA)
Application of spreadsheet software to solve business problems. Use of linking functionality between varied applications to create integrated presentations. Brief introduction to the data analysis functions of spreadsheet software and specialized statistical analysis software. Business use of information systems in organizations; electronic commerce and the Internet. The impact of information systems on organizations; system development; ethical and legal issues; data and knowledge management; information security. Prerequisite: business major or minor or consent of department chair.

M L 353 - Operations Management in Organizations (3 hours)  (effective since 15FA)
Survey of issues and methods related to designing, implementing, and controlling the production and delivery of goods and services. Topics include waiting line management, forecasting, project management, JIT and lean operations, supply chain management, Six Sigma quality management, and strategic importance of operations management. Prerequisite: Q M 263; M L 350

ECO 319 - Introduction to Econometrics (3 hours) 
Techniques and procedures of application of statistical tools to economic research problems; selected methods for investigating the empirical validity of economic theory. Prerequisite: ECO 100 or 221; ECO 222; QM 263 or equivalent; junior/senior standing.

FCS 303 - Nutrition (3 hours) 
Human energy and nutrient requirements and utilization throughout the life cycle in performance, disease prevention, and health promotion; dietary assessment and intervention; evidence-based decision making. Prerequisite: CHM 150 and CHM 160 or equivalent; BIO 230.

Q M 262 - Quantitative Analysis I (3 hours) 
Data presentation and computation of descriptive measures. Probability theory, probability distributions, expectations, variance, covariance, correlation coefficient. Sampling, central limit theorem, statistical estimation, one or two sample tests of hypotheses. Prerequisite: MTH 109 or MTH 115 or higher.

Q M 263 - Quantitative Analysis II (3 hours) 
Linear and multiple regression, correlation, analysis of variance, contingency tables, time series, decision theory, and non-parametric methods. Data analysis using statistical computer packages. Prerequisite: Q M 262; MTH 115 or 121; MIS 173

PSY 324 - Intermediate Statistics for Psychology (3 hours) 
Conceptual foundations of hypothesis testing, introduction to meta-analysis and its procedures, exploration of multiple regression/correlation and applications such as factor analysis. Prerequisite: PSY 205 or both QM 262 and QM 263 or equivalent.

 

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