Data Science

ERTH-4350

Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity, and heterogeneity of data being made available over the Internet. It combines aspects of data management, library science, computer science, and physical science. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught. This course meets with CSCI/ITWS 4350 and CSCI/ITWS 6350. A student can get credit for only one of these courses.

3 credits

Cross-listed with:

CSCI-4350 Data Science CSCI-6350 Data Science ERTH-6350 Data Science ITWS-4350 Data Science ITWS-6350 Data Science

Prereqs:

CSCI-1200 Data Structures

and

CSCI-4380 Database Systems

Past Term Data

Offered

Not Offered

Offered as Cross-Listing Only

No Term Data

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	Summer		Fall
	(Session 1)	(Session 2)
2025
2024			Data Science (3c) Ahmed Mohamed Morad Mohamed Maher Eleish Seats Taken: 0/1
2023			Data Science (3c) Thilanka Munasinghe Seats Taken: 0/1
2022			Data Science (3c) Thilanka Munasinghe Seats Taken: 1/1
2021			Data Science (3c) Thilanka Munasinghe Seats Taken: 1/1
2020			Data Science (3c) Thilanka Munasinghe Seats Taken: 0/1
2019			Data Science (3c) Thilanka Munasinghe Seats Taken: 1/0
2018			Data Science (3c) Thilanka Munasinghe Seats Taken: 0/0
2017			Data Science (3c) Peter A Fox Seats Taken: 0/0
2016			Data Science (3c) Linda Kramarchyk Peter A Fox Gregory N. Hughes Seats Taken: 0/0
2015			Data Science (3c) Thomas Neil Hughes Seats Taken: 0/0
2014			Data Science (3c) Peter A Fox Seats Taken: 0/0
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