Quantitative Research Methods (5 cr)
Code: LY00FE02-3003
General information
Enrollment
01.11.2023 - 07.01.2024
Timing
15.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of Business
Campus
Leiritie 1
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Master's Degree Programme in Business Informatics (Social Sciences, Business and Administration)
Teachers
- Tiina Mikkola
Teacher in charge
Zinaida Grabovskaia
Groups
-
L0424S6_2Master's Degree Programme in Business Informatics ylempi, liiketalous
-
L0424S6_1Master's Degree Programme in Business Informatics ylempi, liiketalous
Objective
On completion of the course, the student knows how a company can use quantitative research in order to develop its operations, and is able to design and implement a quantitative research, interpret the research results, and evaluate the reliability of the research.
Content
It is a Moodle online course, supported by own videos, which students can complete relatively independently (and thus, can join with various professional backgrounds). The pedagogy is based on the flipped classroom where all study materials and tasks are available in the learning environment. The teacher will be available online several times during the course for discussion and students’ questions.
• Quantitative research process
• Basic concepts of the quantitative research
• Selecting samples
• Collecting data using questionnaires
• Preparation of the research data
• Data analysis: descriptive and inferential statistics
• Statistical testing
Assignments outline: Students complete the course by solving problems; no exams. Moodle automatically evaluates the answers.
Location and time
The course is a non-stop online course. You can do it independently and at your own pace in Moodle learning environment. However, enough time must be allocated for independent study (for a 5-credit course, the student's calculatory workload is 135 hours).
Materials
Teacher materials in Moodle learning environment.
Teaching methods
Independent studying
Assignments
Employer connections
N/A
Exam schedules
No exam, the course is completed by solving problems.
International connections
N/A
Completion alternatives
N/A
Student workload
Total 135 hours covering independent study and solving problems.
Content scheduling
The students progress in their own schedule.
Further information
Enrollment directly to the lecturer by email tiina.mikkola (at) metropolia.fi. You can enroll at any time during the year. NOTE: For the Master´s students only.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment criteria, good (3)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.
Assessment criteria, excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.
Assessment criteria, approved/failed
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment methods and criteria
To pass the course, you need in every set at least 50 % of the set's maximum points. So, you must pass each problem set individually.
When you have passed all sets, the grade is based on the total points of the course (the maximum points of all sets added together). The lower limits for grades are as follows:
50 % of total points: 1
60 % of total points: 2
70 % of total points: 3
80 % of total points: 4
90 % of total points: 5
Prerequisites
Completed Higher Education Degree.
Further information
The language of tuition is English.