Business Analytics (5 cr)
Code: LY00FG25-3002
General information
- Enrollment
-
06.05.2024 - 11.08.2024
Registration for the implementation has ended.
- Timing
-
26.08.2024 - 20.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Master´s Degree Programme in Public Procurement (Social Sciences, Business and Administration)
- Teachers
- Jimmy Ruokolainen
- Teacher in charge
- Kaija Haapasalo
- Groups
-
L1223S6Julkisten hankintojen tutkinto-ohjelma, ylempi amk , liiketalous
- Course
- LY00FG25
Implementation has 5 reservations. Total duration of reservations is 17 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Sat 26.10.2024 time 10:00 - 15:00 (5 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3002 |
MMC304
Oppimistila
|
|
Wed 30.10.2024 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3002 |
Online
|
|
Thu 14.11.2024 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3002 |
Online
|
|
Tue 26.11.2024 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3002 |
Online
|
|
Wed 11.12.2024 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3002 |
Online
|
Objective
Upon completion of the course the student understands the role of the data to solve business problems and develop organization professionally.
The student is able to analyse organization’s analytical maturity and can propose solutions to improve it.
The student can assess the tools and software needed in organization and is able to use Business Intelligence (BI) tools for reporting, data combining and data analyzing.
The student knows the terminology within the field and is able to participate in BI-related development projects as an expert in his/her business area.
Content
* Intelligent reporting and visualisation
* Data management and knowledge-based management
* Data sources, data combing and data transforming for modern problem solving
* The use of Business Intelligence Tool (Power BI or other related)
Evaluation scale
0-5
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
ufficient 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.
Qualifications
Completed higher education degree (Bachelor level)