Quantitative Analysis for Business (EM1010), 3 op
Basic information
Course name: | Quantitative Analysis for Business Quantitative Analysis for Business |
Course Winha code: | EM1010 |
Kurre acronym: | |
Credits: | 3 |
Type and level of course: | Professional studies |
Year of study, semester or study period: | 2.year |
Implementation: | Spring semester |
Semester: | 0607 |
Language of tuition: | English |
Teacher: | Pertti Vilpas |
Final assessment: | Grading scale A16-F2 |
Descriptions
Prerequisites
Business mathematics
Course contents (core content level)
By the end of this course, the students should has:
* The knowledge and understanding of the foundation and techniques of statistics, particularly as applied to a business context
* The ability to summarise data using tables, graphs and descriptive numbers
* The ability to select and use appropriate statistical techniques
* Developed the ability to collect data as well as to critically interpret and analyse published data;
Course contents (additional)
* Use hypothesis testing to test the statistical belief
* Use the SPSS for Windows software to carryout statistical analysis
Core content level learning outcomes (knowledge and understanding)
Rationale
The course has been designed to give students an understanding of basic statistical methods and analyses.
Core content level learning outcomes (skills)
Aims
The aim of the course is to provide the student with the analytical skills needed to interpret the statistical data.
Recommended reading
Curwin, Slater
Quantitative Methods, a short course
Thomsonlearning, 2004
Kazmier, Leonard J.
Schaum's Easy Outline of Busines Statistics.
Blacklick, OH, USA: McGraw-Hill Trade, 003. iv.
http://site.ebrary.com/lib/evtek/Doc?id=10045338&ppg=4
Teaching and learning strategies
Teaching and learning strategies
This course will be taught by lectures and exercises. The SPSS for Windows software is used during the course.
Teaching methods and student workload
Reports
Individual research, reading
Interview
Exam
Learning tasks / Assignments
Assignments or project
Assessment weighting and grading
To successfully pass this course the student should complete the minimum grade in exercises, cases and examination
Assessment weighting
Exercises and case study 40%
Exam 60%
Related competences of the degree programme
Personal development
Generic Competences
Development competencies