Fall 2026
> Engineering/Engineering Technology
> EECE.5440
> 031V
Course No: EECE.5440-031V; SIS Class Nbr: 13223; SIS Term: 3610
Course Status: Open
Course Description
Computational Data-Driven Modeling (CDM) I is the first in a sequence of two courses designed to introduce the student to basics skills in exploratory data analysis and data-driven computational modeling using foundational concepts drawn from linear algebra, probability, statistics, random processes, time-series analysis and dynamical systems. In CDM-1 students will learn to apply regression and classification algorithms on multivariate data and assess performance of these models. An interactive project-driven approach is taken using the Python programming platform and its associated open-source libraries for statistical modeling, data analysis and machine-learning. A review of the tools and techniques from probability and statistics will be undertaken.
Prerequisites, Notes & Instructor
When Offered & Tuition
- W | 6:30 PM-9:20 PM ET Online
- 2026 Fall: Sep 01 to Dec 19 15-Week (Full-Term)
- Course Level: Graduate
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Tuition: $2550
- Note: There is a $30 per semester registration fee for credit courses.
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