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Data science (5 cr)

Code: RO00FQ48-3001

General information


Enrollment
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
Timing
01.01.2025 - 30.04.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Department of Construction and Energy Engineering
Campus
Kouvola Campus
Teaching languages
Finnish
Teacher in charge
Henry Lähteenmäki
Groups
ROKV23SP
Robotics and artificial intelligence, full-time studies
Course
RO00FQ48
No reservations found for realization RO00FQ48-3001!

Objective

You understand how machine learning relates to data science.
You know the basics of data collection.
You are familiar with statistical methods used in exploratory data analysis.
You understand the significance of statistics in data science.
You can apply machine learning models in data science.
You can program advanced machine and deep learning models

Content

What machine learning models are used in data science?
How are advanced machine learning models programmed and fine-tuned?
What are the application areas of machine learning?
What is meant by statistical methods in data science?

Evaluation scale

1-5

Qualifications

Advanced knowledge of machine learning and deep learning is required.

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