Probality and statistics (5 cr)
Code: OT00EK07-3001
General information
- Enrollment
-
07.11.2022 - 18.11.2022
Registration for the implementation has ended.
- Timing
-
09.01.2023 - 28.04.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Information Technology
- Campus
- Mikkeli Campus
- Teaching languages
- Finnish
- Seats
- 1 - 40
- Degree programmes
- Degree programme in Software Engineering
- Teachers
- Jari Kortelainen
- Teacher in charge
- Jari Kortelainen
- Groups
-
OTMI21SPSoftware Engineering, full-time studies
- Course
- OT00EK07
Objective
You are able to define probability spaces and to utilise probability theory in decision making.
You are able to describe data using statistics.
You are able to define random variables and make decisions using different kinds of distributions.
Content
How are probability spaces defined?
How is probability theory utilised in decision making?
What type of statistics may be used in data description?
How are random variables defined?
Which type of distributions do random variables have?
Evaluation
Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field.
Course material
To be settled at the course kick off.
Study forms and methods
Scheduled track:
You participate in lectures and exercises according to the weekly schedule.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.
RDI and work-related cooperation
To be settled later on.
Timing of exams and assignments
To be settled later on.
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
To be settled at the course kick off.
Qualifications
Discrete mathematics 2, Calculus