Undergraduate Course: Business Research Methods I: Quantitative Techniques (CMSE08002)
Course Outline
| School |
Business School |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 08 (Year 2 Undergraduate) |
Credits |
20 |
| Home subject area |
Business Studies |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
Presentation and interpretation of statistical data, statistical arithmetic, and use of statistical packages on micro-computers, elementary time series, elements of regression, probability. Sources of business information, methods of data capture, questionnaire design, types of sampling, introduction to qualitative methods of research, preparation of project proposal. Elements of statistical inference, hypothesis testing, introduction to non-parametric tests. This course is compulsory for all 2nd year MA with Honours Business Studies and MA with Honours in International Business students. A pass in a suitable alternative may be considered as a pass for QRMB in the MA programme. This decision is at the discretion of the Head of School in conjunction with the course co-ordinator. |
Entry Requirements
| Pre-requisites |
Students MUST have passed:
Business Studies 1 (BUST08001)
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
Visiting students should usually have at least 1 introductory level Business Studies course at grade B or above (or be predicted to obtain this) for entry to this course. We will only consider University/College level courses. |
| Prospectus website |
http://www.ed.ac.uk/studying/visiting-exchange/courses |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | 13:10 - 13:50 | | | Central | Lecture | | 1-11 | | 13:10 - 13:50 | | | | | Central | Lecture | | 1-11 | 13:10 - 13:50 | | | | |
| First Class |
Week 1, Monday, 13:10 - 13:50, Zone: Central. Room G.08 William Robertson Building |
| Additional information |
TUTORIALS: 1 hour per week for 4 weeks. Three tutorial and one practical sessions in Weeks 3,6,8,10 (sign up through Tutorial Selection Tool on WebCT). PROBLEM SOLVING SESSIONS: 1 hour per week for 7 weeks. (Fridays 13.10-13.50 in G.08 WRB Weeks 4-10). |
Summary of Intended Learning Outcomes
OBJECTIVES/LEARNING OUTCOMES
Knowledge and Understanding
On completion of the course students should be able to:
a) describe basic statistical techniques for data collection, presentation and analysis;
b) critically review the collection, presentation and analysis of data;
c) gain insight into tackling business problems through the use of statistical techniques.
Cognitive Skills
On completion of the course students should be able to:
a) demonstrate they can apply statistical techniques to data;
b) demonstrate they can discuss the results of the application of statistical techniques to data in written reports and oral presentation.
Key Skills
On completion of the course the students should be able to:
a) demonstrate their ability to carry out quantitative analysis of data;
b) demonstrate their ability to use software to obtain analysis of data;
c) demonstrate their ability to collect data through design of questionnaire.
Subject Specific Skills
On completion of the course the students should be able to:
a) develop their skills to collect, present and analyse data,
b) develop their ability to design questionnaires
|
Assessment Information
| Coursework 20%; final examination 80%. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Jake Ansell
Tel: (0131 6)50 3806
Email: J.Ansell@ed.ac.uk |
Course secretary |
Ms Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
Email: Patricia.Ward-Scaltsas@ed.ac.uk |
|
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1 September 2010 5:44 am
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