MET 2123 Methods and Insight

MET 2123 Methods and Insight

Course code: 
MET 2123
Department: 
Marketing
Credits: 
7.5
Course coordinator: 
Ragnhild Silkoset
Morten William Knudsen
Course name in Norwegian: 
Metode og innsikt
Product category: 
Bachelor
Portfolio: 
Bachelor - Core Courses
Semester: 
2021 Autumn
Active status: 
Active
Level of study: 
Bachelor
Teaching language: 
Norwegian
Course type: 
One semester
Introduction

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.

Learning outcomes - Knowledge

After finishing the course the students will be able to organize, summarize, and discuss results from research according to the scientific principles for research.

Learning outcomes - Skills

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.

General Competence

The course shall raise students awareness, and develop students attitudes in accordance with values related to scientific thinking within research methodology.

Course content
  • 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
Teaching and learning activities

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

  1. planning the design and problem definition of a research project
  2. conducting a qualitative study with analysis and discussion
  3. 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. 

E-learning
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.

Software tools
SAS - JMP
Additional information

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.

Qualifications

Higher Education Entrance Qualification

Covid-19

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.

Teaching

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.

Required prerequisite knowledge

Introduction course in statistics.

Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
MET 21235
Grading scale:
ECTS
Grading rules:
Internal and external examiner
Resit:
Examination when next scheduled course
100No1 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.
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:100
Invigilation:No
Grouping (size):Group/Individual (1-3)
Duration:1 Semester(s)
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
Grading scale:ECTS
Resit:Examination when next scheduled course
Type of Assessment: 
Portfolio assessment
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
28 Hour(s)
Feedback activities and counselling
12 Hour(s)
Participation in the portfolio review and computer tool supervision
Submission(s)
100 Hour(s)
Working on the portfolio
Prepare for teaching
60 Hour(s)
Sum workload: 
200

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.