Data Analytics (3 cr)
Code: 5N00EI59-3007
General information
Enrolment period
30.07.2022 - 07.09.2022
Timing
12.09.2022 - 23.12.2022
Credits
3 op
Mode of delivery
Contact teaching
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in ICT Engineering, students who began in 2014-2018
Teachers
- Iina Nieminen
- Miika Huikkola
Person in charge
Miika Huikkola
Groups
-
21TIETOB
Objectives (course unit)
The student
- is able to handle data sets
- has basic knowledge of mathematics related to data-analysis
- is able to use and apply classical data analysis for solving technical problems
- is familiar with basics and methods of regression, classification and clustering
Content (course unit)
• Classical Data Analysis
• Classification, Decision Trees, Random Forests
• Clustering, K-means
• Regression, Linear Regression, Logistic Regression
• Basics of Neural Network
Assessment criteria, satisfactory (1-2) (course unit)
The student is able to handle data and knows the basics of data analysis and the related key methods. The student is able to calculate simple tasks related to the topics of the course, which are similar to the examples presented.
Assessment criteria, good (3-4) (course unit)
In addition to the above, the student is able to apply the course knowledge in new situations and justify his/her solutions. The student is able to use the concepts and methods related to the subjects of the course correctly. The student performs the given tasks independently.
Assessment criteria, excellent (5) (course unit)
In addition to the above, the student has a comprehensive understanding of the course topics and their use in problem solving, as well as the ability to present and justify his/her solutions logically.
Assessment scale
0-5