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management, process modeling, IS security, business intelligence, database design, big data integration, and data mining, modeling, and management. This includes undergraduate and/or graduate courses
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experience working with data mining and sophisticated modeling of data-informed outcomes. Extensive experience in higher education, preferably in working with data from recruitment/admissions, scholarships
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of personnel management experience Additional Qualifications Considered Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and
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subjects such as .Net programming, Java programming, ERP-related topics, IS project management, process modeling, IS security, business intelligence, database design, big data integration, and data mining
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. About the Department The University of Cincinnati (UC) Department of Computer Science (CS) (https://ceas.uc.edu/academics/departments/computer-science.html ) in the College of Engineering and Applied
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Functions Teach undergraduate and graduate courses in subjects such as but not limited to: Business Analytics, Data Visualization, Decision Models, Simulation, Forecasting, Optimization, and Data Mining
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/areas: Delphi method, eye-tracking, think-aloud interviews, data mining, machine learning, time series methods. Expertise in at least one of the following topical areas in engineering education: transfer
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areas: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from undergraduate to graduate (master's and