BMIS 2402 - COMPUTATIONAL THINKING FOR BUSINESS LEADERS
Minimum Credits: 1.5
Maximum Credits: 1.5
The main objective of this course is to lay a foundation for business students to develop computational thinking and analytics skills. Computational thinking involves solving problems by formulating them clearly and systematically so that we can effectively leverage the power of computational tools and models. It is increasingly being recognized that computational thinking and programming are fundamental skills for everyone, not just for students interested in technology careers . Adopting a learning-through-examples approach, the course focuses on developing fluency with computational concepts and programming in a business context. Students will learn the fundamentals of computational thinking and apply them using Python and R programming languages as well as other menu-driven applications such as Excel, Rapid Miner, and Tableau. An additional pedagogical objective of the course is also to pave a path for students to build on the fundamental skills and proceed with confidence to advanced data analysis and machine learning workflows using various open-source libraries available in the Python and R ecosystem. This is an extensively hands-on course, and major components of students’ grades are based on their individual submissions for the course’s assignments and projects. No prior programming experience is required to enroll in the course.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
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