Quantitative Research (5 cr)
Code: LC00EH11-3006
General information
- Enrollment
-
02.05.2023 - 20.08.2023
Registration for the implementation has ended.
- Timing
-
28.08.2023 - 22.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in European Business Administration
- Teachers
- Sphokazi Novuka-Mäkinen
- Teacher in charge
- Suvi Moll
- Groups
-
LXA22_BHalf of LXA22 cohorts present, GROUP B
-
LXA22_AHalf of LXA22 cohorts present, GROUP A
- Course
- LC00EH11
Implementation has 15 reservations. Total duration of reservations is 45 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 31.08.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB344
IT-Tila, CAD
|
|
Thu 07.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB344
IT-Tila, CAD
|
|
Thu 14.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB344
IT-Tila, CAD
|
|
Thu 21.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB344
IT-Tila, CAD
|
|
Thu 28.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 05.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB331
IT-Tila, CAD
|
|
Thu 12.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 26.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 02.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 09.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 16.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 23.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 30.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
|
Thu 07.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB330
IT-Tila
MMB324 EXAM |
|
Thu 14.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Quantitative Research LC00EH11-3006 |
MMB324
EXAM
|
Objective
On completion of the course, the student will:
- Know how companies use quantitative analysis and research in order to develop their operations.
- Be able to design and implement surveys, and analyze raw data
-Can assess the reliability and validity of the quantitative research
-Be proficient in using SPSS and Excel to analyze raw data and present them in an illustrative form
- Have an understanding how data analytics is used to solve business problems and in decision making.
Content
- Financial Mathematics in Excel
- Quantitative research process and implementation
- Questionnaire design and data collection
- Data Analysis, descriptive and inferential statistics in SPSS and Excel
- Interpretation and statistical reasoning
- Statistical testing
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Qualifications
Business Mathematics and Statistics