Quantitative Research (5 ECTS)
Code: LX00BX66-3022
General information
- Enrollment
- 12.01.2022 - 13.01.2022
- Registration for the implementation has ended.
- Timing
- 17.01.2022 - 05.05.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in International Business and Logistics
- Teachers
- Pertti Vilpas
- Teacher in charge
- Suvi Moll
- Groups
-
LXC19_ManagementLXC19_Management
-
LXC19_FinanceLXC19_Finance
- Course
- LX00BX66
Objective
On completion of the course, the student will:
• Know how companies use quantitative research in order to develop their operations.
• Be able to design and implement surveys and asses the reliability of the research.
• Be proficient in using SPSS and Excel to interpret results and present them in illustrative form.
• Have an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision making.
Content
- Quantitative research process and implementation
- Data Analysis, descriptive and inferential statistics
- Statistical reasoning and testing
Materials
Lecture material
Excel and SPSS guides
Online references
e-book (will be announced later)
Teaching methods
Interactive lecture
Guided assignments
Online learning
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance:
showing just enough understanding of the subject to merit a pass grade but requiring greater effort to achieve a more satisfactory result
Assessment criteria, good (3)
Good performance:
showing strong understanding of basic concepts and good grasp of techniques, but with certain minor problems still requiring further attention
Assessment criteria, excellent (5)
Excellent performance:
not only fulfils all standard requirements but demonstrates originality and imagination
Assessment criteria, approved/failed
Sufficient performance:
showing just enough understanding of the subject to merit a pass grade but requiring greater effort to achieve a more satisfactory result
Assessment methods and criteria
Assignments 55%
Final exam 45 %
Qualifications
Business Mathematics and Statistics