Extent: 3 cr (81 h)
Timing: Semester 4
Level: Joint professional studies
The course is highly recommended to take along with the Module: Competing in Global Markets. Very valuable for students planning to carry out a quantitative thesis.
Upon successful completion of the course, the student
- knows the techniques to create online surveys (digi-applier)
- is able to organize, evaluate and analyse quantitative data with the PASW(SPSS) software package (digi-applier)
- is able to create, recognize and evaluate quantitative market information (market predictor)
- is able to create graphical presentations to visualize concepts (service designer)
- is able to analyze expectation and experiences based variables (co-doer)
- has enhanced his/her HH3S competences as applicable to the course.
- Creation of SPSS data file
- Data management and modification
- Descriptive statistical procedures
- Graphical presentations
- Correlation, regression analysis and crosstabulation
- Statistical inference
Cooperation with the business community
Real business-based examples and cases.
International and global business approach to course themes and topics, contributions by multinational student groups and company cooperation.
Teaching and learning methods
The assessment of one’s own learning 1 h
Accreditation of prior learning
Accreditation of prior learning (APL) is observed on the course according to separate instructions.
Teachers with the main responsibility of the course
Saaranen, P. 2011. PASW Statistics. Study booklet.
Other material provided by the teacher.
|1 (Min. 40 %
|3 (Min. 70 %
|5 (Min. 90 %
||The student is able to complete 50 % of the given exercises during the course, participates in the exam and is able to compile correct basic statistical analyses (frequency tables and graphical presentations) in the exam.
||The student is able to complete correctly 70 % of the exercises and of the analyses in the exam. He/she is able to write interpretations of the results.
||The student is able to complete the given exercises independently and succeeds to analyze exam nearly correctly (90 %). He/she is able to define the main concepts and write clear and precise interpretations of the results.He/she is able to apply the concepts in a broader context.
||The student has the right attitude to work and he/she performs in routine applications.
||The student is partly able to select appropriate methods and collect information needed to solve these methods independently.
||The student can take initiative, work in critical and analytical way to solve related statistical problems in a broader context.
||Competence is not measured during the toolkit for quantitative surveys. The student shows poor service and sales orientation as required by the HH3S policy.
||The student shows good service and sales orientation as required by the HH3S policy.
||The student shows excellent service and sales orientation as required by the HH3S policy.
Assessment modes and their weights
Active attendance 30%
Assignments during the lectures 40%
The assessment of one's own learning does not influence the course grade. The assignment is the same for all courses/modules and the answers will also be used for course/module development. The assignment is completed on an E-form.