Vaativa liiketoiminnan analytiikka (5 cr)
Code: L000DA25-3002
General information
Enrollment
02.05.2019 - 11.08.2019
Timing
26.08.2019 - 17.12.2019
Number of ECTS credits allocated
5 op
Virtual portion
2 op
RDI portion
3 op
Mode of delivery
60 % Contact teaching, 40 % Distance learning
Unit
Liiketalous
Campus
Leiritie 1
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Master's Degree Programme in Business Informatics (Yhteiskuntatieteiden, liiketalouden ja hallinnon ala)
Teachers
- Niklas Visanko
Teacher in charge
Niklas Visanko
Groups
-
L0418S6Master´s Degree Programme in Business Informatics ylempi
Objective
The student understands how managers use analytics to formulate and solve business problems.
The student recognizes the processes needed to generate, collect, analyse and report business data.
The student has gained hands-on experience in using analytics software.
The student is familiar with the most frequently employed analytics platforms.
Content
- Managerial perspectives on analytics
- Descriptive and predictive analytics
- Data sources and mining
- Data preparation, processing and visualization
- KPI’s and dashboards
Location and time
Myyrmäki
The course will be finished before graduation deadlines. If you are about to graduate in December, please note Raisa well in advance.
Teaching methods
Visiting lecturers
Workshops
Individual assignments
Self reading book & materials
No attendance required.
Recognition of Prior Learning: contact Raisa
Employer connections
Company partners and visiting lecturers
Completion alternatives
Course assignments
Student workload
Lectures and workshops 20 hrs
Self Reading 30 hrs
Assignments and other tasks 80 hrs
Assessment criteria, satisfactory (1)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment criteria, good (3)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.
Assessment criteria, excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.
Assessment criteria, approved/failed
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment methods and criteria
Work shops 10 %
Individual assignments 90%
Further information
The language of tuition is English.
The course is assessed on the 0 (failed) – 5 (excellent) grading scale.