9 courses with the subject BUAN, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BUAN 261Introduction to Business Programming3
The focus of this course is to introduce students to business programming using tools such as Visual Basic for Applications (VBA). More specifically, it will train students how to write programs that automate various tasks in Excel, and develop applications that support business decision making. The ultimate goal will be on the creation of applications that will allow managers to make effective data-driven decisions. Advanced Excel skills such as Power Pivot and Pivot tables will also be covered. Students will gain insights into how to continue developing their skills in their careers.
This course deals with the use of database management systems to support electronic business. Topics include: data modeling; database design and normalization; structured query language (SQL); database application development; integration of web server and database server; distributed data-bases; data warehousing; and data mining. (Credit cannot be earned for BUAN 362, and ACC 374 )
This course provides a comprehensive introduction to programming using Python. Students will learn how to solve and analyze business problems using Python to uncover business insights. Students will use a variety of Python libraries such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, and Scikit Learn to run different machine learning algorithms.
STAT 252 ) Quantitative forecasting methods are covered including averaging and smoothing techniques, time series decomposition of underlying components, and casual modeling such as simple and multiple regression. Students are introduced to autoregressive integrated moving average (ARIMA) models using the Box-Jenkins approach. Developing systematic approach to forecasting problems is emphasized. (Credits cannot be earned for both OIM 444 , BUAN 444 and OM 544)
BUAN 362 or permission of instructor) An introduction to existing and evolving Internet technologies needed for web site development and management. Client and server-side scripts will be utilized to explore their role in interacting with customers, customizing web pages, processing forms, maintaining state, and connecting to databases. Course delivery will be primarily conducted through hands-on assignments and projects.
STAT 251) Data mining refers to an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as "big data") in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. Hands-on applications of various data mining techniques (e.g. classification, association analysis, clustering, text mining, anomaly detection, feature selections) using data mining software tools will be used. (Credits may not be earned for OIM 463, EC 463, and BUAN 463.)
BUAN 465Customer Relations Management Analytics3
This course allows the engagement with customers consistently across all touchpoints and functional activities. It provides hands on experience on Google Analytics, Search Engine Optimization, Social Media Optimization and SAP Hybris Solutions. By the end of the course, students can strategically generate and gather online information to measure traffic, visitor engagement and potential impact on ROI.
BUAN 463 ) Big Data refers to the voluminous amount of structured and unstructured data that is harnessed from a variety of sources such as social media and electronic commerce transactions with the aim of revealing patterns, trends, and associations. The course covers the principles of Big Data, Internet of Things, Artificial Intelligence, Machine Learning and their business applications. The course involves using real-life Big Data applications to solving complex business problems.
OIM 352 ) This course focuses on the use of simulation modeling as a tool to analyze various business applications in the face of risk and uncertainty. Students will gain hands-on experience in using simulation software to create predictive models to prescribe insightful decisions that reflect complex realities.
Source: University of Scranton's catalog, linked per course · table learning_unit · CourseShelf publish 59
