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Quantitative Research (5 ECTS)

Code: LX00BX66-3018

General information


Enrollment
11.08.2020 - 20.08.2020
Registration for the implementation has ended.
Timing
25.08.2020 - 14.12.2020
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 European Business Administration
Teachers
Pertti Vilpas
Teacher in charge
Anne Perkiö
Groups
LB19K
Incoming DD Krems 2nd year students
LXA19
All LXA19 cohorts present
Course
LX00BX66
No reservations found for implementation LX00BX66-3018!

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
e-books

Teaching methods

Interactive lecture
Guided assignments
Exam

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) <=> 60%
Final exam <=> 40 %

Qualifications

Business Mathematics and Statistics

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