CDS 465: Modeling Interactive Populations
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Course Information from the University Catalog
Credits: 3
Employs several computational methods to create an agent-based model of an evolving and interactive population. Applied scenarios will include human identification through DNA profiles, community analysis through connected graphs, data generation, virus tracking, and evolution of human traits in time. Software skills developed will include Python, Pandas, and SQL. Offered by Computational & Data Sciences. Limited to two attempts.
Registration Restrictions:
Required Prerequisites: (CDS 230C and 302C).
C Requires minimum grade of C.
Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.
This course is graded on the Undergraduate Regular scale.