Introduction to Data Analytics and Artificial Intelligence (3 cr)
Code: C-02504-TTC2050-3031
General information
- Enrollment
-
18.11.2024 - 09.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 31.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Institution
- Jyväskylä University of Applied Sciences, Lutakon kampus
- Teaching languages
- Finnish
- Seats
- 0 - 5
- Course
- C-02504-TTC2050
Evaluation scale
0-5
Objective
Purpose and objectives: The course gives you an overview of the methods of data analytics and artificial intelligence, their possibilities and applications as well as the most commonly used programming environments and libraries. EUR-ACE Competences: Knowledge and Understanding Engineering Practice
Content
Definitions of data analytics and artificial intelligence Practical applications of artificial intelligence Examples and principles of machine learning and neural networks Data analytics programming languages and environments: Python, R, Anaconda, Pandas
Location and time
Online sessions
Materials
Course material page (lecture materials, exercises)
Teaching methods
- Several online sessions during the implementation (the student can join the online session and get support from the teacher in doing the exercises) - Distance learning (students can complete the course at their own pace, doing exercises independently)
Student workload
Distance learning 71h (exercises) Online guidance sessions 10h A total of 81 hours
Qualifications
Ohjelmoinnin perusteet