# Applied Data Science

## ISYE-6360

This course is aimed at upper-level undergraduate and graduate students who wish to master the fundamental concepts of machine learning in a lab-like environment. Students will choose a relevant topic/dataset to explore and devise the best approach to extract knowledge from noisy data along with data visualizations for decision making. Graduate students will also conduct an in-depth overview of existing methods and approaches relevant to their topic.

3 credits
Cross-listed with:
ISYE-4360 Applied Data Science
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |

2025

Applied Data Science (3c)

- Rostyslav Korolov

Seats Taken: 15/25

2024

Applied Data Science (3c)

- Rostyslav Korolov

Seats Taken: 10/10

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