Information Analytics, Machine Learning, Database Design, Data Management and Programming
Teaching
courses taught
BAIM 3220 - Introduction to Python Programming
Primary Instructor
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Fall 2022
Python has emerged as the key programming language for data science and business analytics. Helps students understand the programming mindset though use of open source software and libraries and introduces students to object oriented programming. Formerly MGMT 3220.
BAIM 4120 - Business Analytics
Primary Instructor
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Spring 2023 / Summer 2023
Teaches cutting-edge tools and approaches to the analysis of data, including "big data" for effective decision-making. The class creates data connoisseurs through hands-on exposure to exploratory and predictive analytics. Application areas covered include Web Marketing, the Internet of Things, Biometric Monitoring, as well as data integration and analysis for online marketing, human resources and operations. Formerly BAIM 3200. Credit not granted for this course and MKTG 3201.
BCOR 2205 - Introduction to Information Management and Analytics
Primary Instructor
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Fall 2023
Focuses on the fundamentals of managing information in a data driven business environment. Students will learn the basic concepts and best practices in Information Management that can improve their abilities to lead and manage in organizations. The class teaches cutting-edge tools and approaches to the analysis of data, including "big data," for effective decision-making.It creates data connoisseurs through hands-on exposure to supervised machine learning. Application areas covered include human resources, marketing, finance, and supply chain. At the end of class, all students should be able to formulate common business problems in terms addressable through machine learning, and use automated machine learning tools to conduct the analysis and present deep insights to business leaders. Course requirements: clickers. Credit not granted for this course and BCOR 2500.
MKTG 3201 - Business Analytics
Primary Instructor
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Spring 2023
Teaches cutting-edge tools and approaches to the analysis of data, including "big data" for effective decision-making. Creates data connoisseurs through hands-on exposure to exploratory and predictive analytics. Application areas covered include Web Marketing, the Internet of Things, Biometric Monitoring, as well as data integration and analysis for online marketing, human resources and operations. Same as MGMT 3201 and BAIM 3200.
