MET 2123 Methods and Insight
This course in methods and insight provides a basic introduction to the use of research methods related to strategic choices and decisions in companies. The course addresses how to identify and define problems and challenges in the organization and in the market, and how to work systematically and scientifically to provide information that can be used for the decision making. The course is based on theories within marketing, consumer behavior, organization theories, statistics, business management and strategy.
Business research knowledge will provide guidance for the students when interpreting information regarding scientific standards. The course will develop the students abilities to make such critical reviews. Both qualitative and quantitative analysis techniques will be addressed in the course.
After finishing the course the students will be able to organize, summarize, and discuss results from research according to the scientific principles for research.
After finishing the course the students will be able to independently develop, adapt, correct, and communicate their own research, in addition to understanding, evaluating and utilizing the research of others.
The course shall raise students awareness, and develop students attitudes in accordance with values related to scientific thinking within research methodology.
- Develop and manage projects, specify the problem definitions
- Research model and hypotheses
- Information sources within the secondary data sources and primary data
- Qualitative techniques and analysis
- Quantitative techniques and analysis
- Reporting and implementation
The course has 40 contact hours. Of these 28 hours of lectures will focus on the syllabus. 6 hours consist of training in JMP and 6 hours are spent on a portfolio. Exercises in the use of JMP will take place in the auditorium, using laptops, or in the computer lab.
The course includes a portfolio with a total of three submissions. The portfolio is based on
- planning the design and problem definition of a research project
- conducting a qualitative study with analysis and discussion
- conducting a quantitative survey with analysis and discussion
The portfolio can be completed individually or in groups of up to 3 students. Students will receive feedback on each of the submissions in the form of written feedback or plenary feedback. Students will have an opportunity to correct their portfolio before the final submission. The completed portfolio assignment accounts for 100% of the final grade in the course.
In course delivery as online courses, lecturer will, in collaboration with the student administration, organize an appropriate course implementation, combining different learning activities and digital elements on the learning platform. Online students are also offered a study guide that will contribute to progression and overview. Total recommended time spent for completing the course also applies here.
A re-sit exam in MET 21233, counting 60 %, will be offered autumn 2021 and autumn 2022. A re-sit exam in MET 21234, counting 40 %, will be offered autumn 2021 and spring 2022.
Higher Education Entrance Qualification
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
Information about what is taught on campus and other digital forms will be presented with the lecture plan before the start of the course each semester.
Introduction course in statistics.
|Exam category||Weight||Invigilation||Duration||Grouping||Comment exam|
Form of assessment:
Internal and external examiner
Examination when next scheduled course
|100||No||1 Semester(s)||Group/Individual (1 - 3)||Portfolio - can be up to 30 pages. Table of content, summary and reference list can be added. No attachment allowed. There will be plagiarism control of the portfolios.|
|Form of assessment:||Written submission|
|Grouping (size):||Group/Individual (1-3)|
|Comment:||Portfolio - can be up to 30 pages. Table of content, summary and reference list can be added. No attachment allowed. There will be plagiarism control of the portfolios.|
|Exam code:||MET 21235|
|Resit:||Examination when next scheduled course|
Feedback activities and counselling
Prepare for teaching
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.