Introduction to Data Analytics and Artificial Intelligence (3 cr)
Code: TTC2050-3007
General information
- Enrollment
-
01.11.2022 - 05.01.2023
Registration for the implementation has ended.
- Timing
-
09.01.2023 - 28.04.2023
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Lutakko Campus
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
- Teachers
- Antti Häkkinen
- Groups
-
TIC21S1Bachelor's Degree Programme in Information and Communications Technology
- Course
- 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
Materials
Course material page (lecture materials, exercises)
Teaching methods
Weekly lectures (lecture material, example exercises led by a teacher)
Distance learning (exercises)
Student workload
Lectures 35h (lectures, exercises led by a teacher)
Distance learning 46h (exercises)
Total 81h
Assessment criteria, satisfactory (1)
Sufficient 1: You recognize some of the most important methods, possibilities and applications of data analytics or programming environments used in them.
Satisfactory 2: You recognize some of the most important methods, possibilities and applications of data analytics and programming environments used in them.
Assessment criteria, good (3)
Good 3: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them.
Very good 4: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand some principles of artificial intelligence methods.
Assessment criteria, excellent (5)
Excellent 5: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand the most important principles of artificial intelligence methods.
Qualifications
Ohjelmoinnin perusteet
Further information
The assessment of the course consists of returned exercises.