Utilizing Business Analytics (5 cr)
Code: TU00EY63-3001
General information
- Enrollment
-
06.05.2024 - 18.08.2024
Registration for the implementation has ended.
- Timing
-
21.10.2024 - 15.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Degree programmes
- Industrial Management
Implementation has 14 reservations. Total duration of reservations is 34 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 28.10.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
|
Wed 30.10.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 04.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
|
Wed 06.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 11.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
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Wed 13.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 18.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
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Wed 20.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 25.11.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
|
Wed 27.11.2024 time 10:00 - 12:00 (2 h 0 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 02.12.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
|
|
Wed 04.12.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Mon 09.12.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
|
Wed 11.12.2024 time 09:30 - 12:00 (2 h 30 min) |
Utilizing Business Analytics TU00EY63-3001 |
KMC592
Digitila
|
Objective
The student develops his/her understanding of business analytics and analytics driven management. The markets and benefits of analytical solutions become familiar. The relevant terminology, methods and processes are understood. The students is improving his/her skills in developing analytical processes.
Content
* Opportunities and challenges of analytics driven management
*Big data and data science
* Levels and prerequisites of utilizing analytics
* Methods, processes and tools of analytics
*Business development with analytics
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives well, even though the knowledge and skills need improvement in some areas. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply the knowledge in study and work situations in the own field. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, good (3)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the concepts and models in the course. The student is able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the business sector expertise and the evolvement of their own expertise.
Assessment criteria, excellent (5)
The student has achieved the course objectives fairly. Students will be able to identify, define and use the concepts and models in the subject area. The student understands the criteria and principles of the expertise development.
Assessment criteria, approved/failed
The student has achieved the course objectives well, even though the knowledge and skills need improvement in some areas. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply the knowledge in study and work situations in the own field. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Qualifications
Business Analytics Tools or equivalent