Data analysis (5 cr)

Code: RO00FQ46-3001

General information

Enrollment: 14.12.2024 - 31.03.2025
Registration for the implementation has ended.

Timing: 13.01.2025 - 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: English

Degree programmes: Degree Programme in Robotics and Artificial Intelligence

Teachers: Henry Lähteenmäki

Teacher in charge: Henry Lähteenmäki

Groups: ROKV23SP
Robotics and artificial intelligence, full-time studies

Course: RO00FQ46

No reservations found for realization RO00FQ46-3001!

Objective

You understand the use of different libraries in data analysis.
You know how to use programming-based computation in data processing.
You understand the basics of data wrangling in programming.
You can use data visualization to gain insights from data.
You know how to prepare data for machine learning.

Content

How are different libraries used in data analysis?
How is data analysis related to machine learning?
What types of computation are used in data analysis?
How is data processed?
Why is data visualized?
How is data prepared to be suitable for machine learning models?

Course material

Lecture notes and calculations.

Study forms and methods

Final exam.

RDI and work-related cooperation

This course does not include RDI and work-related cooperation.

Evaluation scale

1-5

Qualifications

Knowledge of programming, object-oriented programming, and mathematics is required.