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3 credits
Students will learn the structure and steps used in the development of a business data analytics solution. Advanced analytical techniques will be included such as support vector machines and neural networks. Students will use state of the art Python and R packages such a Pytorch, Keras, and Tensor Flow. Upon completing the course, students will:     1. Explain the process of a successful Machine Learning project2. Illustrate the use of Machine Learning in a business environment3. Synthetize the principles of neural network models and its similarity with the brain4. Formulate models that solve classification problems 5. Solve classification problems using state of the art software applications6. Evaluate solutions obtained by different classification techniques7. Compare software applications and packages used to solve classification *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.DSC 783: Advanced Business Analytics
Learning Goals
Sections Offered: Fall 2026
Course No.
Day
Credits
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0207-783-001
Wed
3
Sections Offered: Summer 2026, Summer I
Course No.
Day
Credits
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0207-783-001
Mon, Wed
3
Sections Offered: Spring 2026
Course No.
Day
Credits
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0207-783-001
Mon
3
0207-783-003
Mon
3