Seeing Through Data (5 cr)
Code: LC00EJ12-3004
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
- 4 cr
- Virtual portion
- 1 cr
- Mode of delivery
- On-campus and online
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in International Business and Logistics
- Degree Programme in European Business Administration
- Teachers
- Misa Bakajic
- Teacher in charge
- Anne Perkiö
- Groups
-
LB23MIncoming DD Münster 2nd year students
-
LB22B_BA_MIncoming DD HTW Berlin BA Marketing
-
LB22L_BIIncoming DD La Rochelle 3rd year students Business Intelligence
-
LXD22S1Liiketalouden tutkinto-ohjelma päivä
-
LB22S_BIIncoming DD Stuttgart Business Intelligence
- Course
- LC00EJ12
Implementation has 15 reservations. Total duration of reservations is 45 h 0 min.
Time | Topic | Location |
---|---|---|
Thu 29.08.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 05.09.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 12.09.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 19.09.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 26.09.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 03.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 10.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 24.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 31.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 07.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 14.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 21.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 28.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 05.12.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Thu 12.12.2024 time 08:00 - 11:00 (3 h 0 min) |
Seeing Through Data LC00EJ12-3004 |
MMA118
IT-Tila
|
Objective
The student knows how to use data for achieving better life, sustainable resources and work worthy of a human being. The student understands how business users, like end-users, managers and data scientist, use data analytics to detect and solve business problems and to support decision making. The student understands processes needed to develop, report, and analyze business data. The student is able to use and apply selected software.
Content
- Business Intelligence
- Reporting, descriptive and predictive analytics
- Data Science
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment methods and criteria
Individual work 70%
Group Work 30%
1a Data Processing 10 %
1b Data Processing Quiz 10%
2a Excel Dashboards 10%
2b Excel Dashboards Quiz 10%
3a Power BI 10%
3b Power BI Quiz 10%
4 Managerial Presentation 30%*
Qualifications
IT Tools 5 cr or equivalent competences