Undergraduate Course: Business Research Methods I: Quantitative Techniques (CMSE08002)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | In modern management it is important to be numerate. The objective of this course is to give the student an appreciation and an ability to employ Quantitative Techniques used in Business and Management Research. |
| Course description |
All Business Management students require the ability to deal with quantitative material, including the collection, collation and analysis of such data. This course introduces students to the quantitative techniques in business mainly centred on statistical aspects. It also provides them with experience in designing questionnaires and report writing. In order to effectively carry out statistical analysis, the students are required to have experience of computing. This course reinforces the experience gained in their Computer Literacy course taken in Year 1.
Syllabus
- Types and Sources of Data
- Samples and Surveys
- Exploratory Data Analysis
- Probability, Estimation and Sampling Distributions
- Hypothesis Testing
- Non-Parametric Hypothesis Testing
- Correlation
- Regression
Student Learning Experience
The course is delivered through lectures, tutorials, computing session, problem-solving sessions and self-experiential learning. The lectures provide the concepts of the techniques for collection, presentation and analysis of data. The tutorials reinforce the use of the techniques through examples and discussion. The computing session allows the student to explore the use of software to apply the techniques. The student will gain valuable further understanding and experience through reading the appropriate sections in the suggestion text and through the coursework.
|
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. |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2015/16, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 30,
Seminar/Tutorial Hours 4,
Supervised Practical/Workshop/Studio Hours 7,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
153 )
|
| Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 20% (1000-word report plus survey); Final examination 80%. Resit examination 100%. |
| Feedback |
1. Generic feedback on your COURSEWORK, together with individual marks, will be available on Learn within 15 working days from the submission deadline and you will be able to collect a copy of your individual feedback from the Business School UG Office Reception (Room 1.11, Business School, 29 Buccleuch Place). You may take away a copy of the feedback form, but you will not be able to take away the original piece of coursework, as it may be required by the Board of Examiners.
2. The compulsory TUTORIALS provide the opportunity for testing your understanding and getting direct feedback. The tutorial exercises are included in the course booklet as well as posted in the 'Tutorials' folder on Learn and students are expected to complete the exercises before the tutorial so that any problems can be discussed at the tutorial.
3. The non-compulsory PROBLEM SOLVING SESSIONS at the end of Weeks 4-10 provide the opportunity for testing your understanding of the week's lectures and getting direct feedback. The Problem Solving Session exercises are posted in the 'Problem Solving Sessions' folder on Learn and students are expected to complete the exercises before the session so that any problems can be discussed at the session.
4. Your EXAMINATION marks will be posted on Learn (together with generic feedback and examination statistics) as soon as possible after the Boards of Examiners' meeting (normally end of January/beginning of February). You will have the opportunity to look at your examination scripts in early February in the Business School UG Office Reception (Room 1.11, Business School, 29 Buccleuch Place). Note that non-Honours students will not be able to remove any examination scripts from the UG Office until the retention period for the Exam Board is over ¿ you will be notified when this can be
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Business Research Methods I: Quantitative Techniques | 2:00 | | | Resit Exam Diet (April/May Sem 1 resits only) | Business Research Methods 1: Quantitative Techniques | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Describe basic statistical techniques for data collection, presentation and analysis.
- Critically review the collection, presentation and analysis of data.
- Understand and explain how to tackle business problems through the use of statistical techniques.
- Apply statistical techniques to data.
- Discuss the results of the application of statistical techniques to data in written reports and oral presentation.
|
Reading List
Recommended book for the course: Michael Barrow, Statistics for Economics, Accounting and Business Studies Longman, London & New York.
Optional useful reading:
1. McDaniel C., Gates R., Contemporary Marketing Research, 1993 (2nd ed.), West Publishing Company.
2. Hair J.F., Bush R.P., Ortinau D.J., Marketing Research, 2003 (2nd ed.), McGraw-Hill.
3. Oppenheim A.N., Questionnaire Design, Interviewing and Attitude Measurement,
1992 (2nd ed.), Pinter Publishers.
4. Sekaran U., Bougie R. Research Methods for Business, 2010 (5th ed.) Wiley. |
Additional Information
| Graduate Attributes and Skills |
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.
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.
|
| Additional Class Delivery Information |
TUTORIALS: 1 hour per week for 4 weeks. Three tutorials and one practical session, in Weeks 3,5,8,10 (sign up through Tutorial Selection Tool on Learn9). PROBLEM SOLVING SESSIONS: 1 hour per week for 7 weeks. (Fridays 13.10-14.00 in Weeks 4-10; also in Lecture Hall B, David Hume Tower Lecture Theatres). |
| Keywords | BRM-1 |
Contacts
| Course organiser | Prof 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 |
|
© Copyright 2015 The University of Edinburgh - 18 January 2016 3:41 am
|
University Homepage