Siirry suoraan sisältöön

Kvantitatiivinen tutkimus (5 cr)

Code: LX00BX66-3018

General information


Enrollment

11.08.2020 - 20.08.2020

Timing

25.08.2020 - 14.12.2020

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

Anne Perkiö

Groups

  • LITO_VV
    Vapaastivalittavat, liiketalous
  • LB19K
    Incoming DD Krems 2nd year students
  • LXA19
    All LXA19 cohorts present

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