Kvantitatiivinen tutkimus (5 cr)
Code: LX00BX66-3016
General information
Enrollment
02.05.2019 - 27.08.2019
Timing
19.08.2019 - 13.12.2019
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalous
Campus
Leiritie 1
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Degree Programme in European Business Administration.
Teachers
- Pertti Vilpas
Teacher in charge
Pertti Vilpas
Groups
-
LXA18_ALXA18 cohorts present, GROUP A
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
Further information
Tuition in English
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 (homework, class exercise, Excel, SPSS)
Final exam
Qualifications
Business Mathematics and Statistics