Applied Data Science

ISYE-4360

This engineering course is an introduction to the fundamental concepts of machine learning in a lab-like environment. The course is structured in three main parts that mimic the daily workflow of a data scientist in a real organization: (i) data preparation; (ii) machine learning algorithms; and (iii) data visualization and decision making.

4 credits

Prereqs:

one of:

ENGR-2600 Modeling and Analysis of Uncertainty MATP-4600 Probability Theory and Applications

and

CSCI-1100 Computer Science I

Past Term Data

Offered

Not Offered

Offered as Cross-Listing Only

No Term Data

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	Summer		Fall
	(Session 1)	(Session 2)
2024			Applied Data Science (4c) Rostyslav Korolov Seats Taken: 0/15
2023			Applied Data Science (4c) Rostyslav Korolov Seats Taken: 15/15
2022			Applied Data Science (4c) Rostyslav Korolov Seats Taken: 19/20
2021			Applied Data Science (4c) Rostyslav Korolov Seats Taken: 26/30
2020			Applied Data Science (4c) Mark J Embrechts Seats Taken: 8/30
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