Mathematics in data analytics (5 cr)
Code: DA00DG79-3002
General information
- Enrollment
- 15.08.2019 - 30.08.2019
- Registration for the implementation has ended.
- Timing
- 26.08.2019 - 31.12.2019
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 4 cr
- Virtual portion
- 1 cr
- Mode of delivery
- Blended learning
- Unit
- Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
- Campus
- Kouvola Campus
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in Business Data Analytics and Visualisation
- Teachers
- Tommi Salmela
- Course
- DA00DG79
Objective
You understand the basics of probability theory and statistics. You are able to use statistical software. You understand the principle of statistical inference.
Content
Classical and empirical definition of probability.
Connection between probability theory and statistics.
Basic concepts of statistics.
Descriptive statistics.
Statistical inference.
Evaluation
Students can
a. use professional vocabulary systematically.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field.
Course material
Material given by teacher.
Study forms and methods
Työviikkopohjainen oppimisväylä:
Normaali lähiopetus.
Student workload
27 h = 1 op.
Evaluation scale
1-5