• BZAN 540: Applied Regression Analys/Bus

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Matrix approach to multiple linear regression. Normal equations, interaction and confounding, use of dummy variables, model selection. Leverage, influence and collinearity. Autocorrelated errors. Logistic regression, maximum likelihood estimation, analysis of deviance, retrospective studies. Tree based models for discrete and continuous outcomes. Robust regression, and weighted least squares. Applications involving predictive modeling for credit risk and customer acquisition. Case studies from accounting, finance, and marketing.(RE) Prerequisite(s): 535 and matrix algebra.Registration Restriction(s): Minimum student level – graduate.
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• BZAN 542: Data Mining Mthds/Bus Applictn

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Understanding and application of data mining methods. Data preparation; exploratory data analysis and visualization; cluster analysis; logistic regression; decision trees; neural networks; association rules; model assessment; and other topics. Applications to business problems. Use of standard computer packages.Registration Restriction(s): Master of Science – Business Analytics major; Dual MS-MBA Program, Business Analytics major or permission of instructor. Minimum student level – graduate.
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• BZAN 543: Entrprise-Data Mgmt/Bus Anlytc

  1.50 Credits

  The University of Tennessee - Knoxville

  
  Focuses on software to manage and manipulate large data sets in preparation for analysis, using the SAS data step, PROC SQL, and the SAS macro language. Brief attention will be given to other SQL tools..(RE) Prerequisite: 535.
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• BZAN 544: App Developmnt / Bus Analytics

  1.50 Credits

  The University of Tennessee - Knoxville

  
  An introduction to the app design process as well as app development principles and tools with an emphasis on visualization in analytics(RE) Prerequisite: 535.Registration Restriction(s): Master of Science – Business Analytics major, or Dual MS-MBA Program, Business Analytics major. Minimum student level – graduate.
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• BZAN 545: Data Engr for Bus Applications

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Fundamentals of data engineering pipelines with particular focus on extracting, transforming, combining, validating and loading data for further analysis and visualization. Topics include, but are not limited to, navigating the Linux operating system, version control and collaboration, SQL and NoSQL databases, distributed computing, and high-level programming.Registration Restriction(s): Master of Science - Business Analytics major, Dual MS-MBA Program, Business Analytics major or permission of instructor. Minimum student level – graduate.
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• BZAN 546: Simulation Modeling

  1.50 Credits

  The University of Tennessee - Knoxville

  
  Monte Carlo and discrete-event simulation models for business decision-making, simulation of business processes, random variables and random number generators, input and output data analysis.(RE) Prerequisite: 535.
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• BZAN 548: Time Series Forecasting

  1.50 Credits

  The University of Tennessee - Knoxville

  
  Forecasting with Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models. Topics include model identification, model validation, seasonal models and intervention effects.(RE) Prerequisite: 535.
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• BZAN 550: Business Analytics Experience

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Application of the principles of decision analytics through experiential descriptive and prescriptive model design and implementation.Repeatability: May be repeated. Maximum 6 hours.Registration Restriction(s): Master of Science - Business Analytics major.
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• BZAN 552: Multivariate/Data Mining Techq

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Multivariate normal distribution, data visualization, handling missing data, dimension reduction techniques, supervised learning, clustering, outlier detection, including a team-based project and common data mining software.Cross-List: (Same as Statistics 576.)(RE) Prerequisite(s): 540 and 542Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
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• BZAN 553: Design of Experiments

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Factorial experiments. Design principles: randomization, replication, and blocking. Split unit designs. Optimal design. Orthogonal arrays, fractional factorials and response surface methodology. Conjoint analysis. Experimentation in business applications emphasized. Cross-list: (Same as Statistics 573.)(RE) Prerequisite(s): 540 or Statistics 538 or permission of instructor.
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