Postgraduate Course: Quantitative Methods and Tools (EMBA) (CMSE11219)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 0 |
ECTS Credits | 0 |
| Summary | This non-credit bearing course aims to develop an understanding of basic probability, statistics and spreadsheet modelling techniques to support management decision-making. |
| Course description |
The course is designed to help underpin the quantitative approaches used in the core EMBA courses but also to provide a basis for the later use of quantitative techniques in the elective options, consultancy and capstone projects. The course incorporates an initial diagnostic test to assess participants' entry skills, a mid-term test to assess progress and a summative test to assess levels of achievement.
Syllabus
Data exploration and summary (sources and types of data, descriptive statistics and methods of displaying data; methods to describe the distribution of a single variable; methods to find relationships among variables).
Probability (basic concepts in probability; major discrete and continuous probability distributions).
Statistical inference (sampling methods and distributions; confidence interval estimation; hypothesis testing).
Spreadsheet modelling with Microsoft® Excel
Analysis ToolPak
Statistical reporting and presentation.
Student Learning Experience
The teaching and learning approach will include independent reading, self-study, online lectures/tutorials and workshops to reinforce key techniques.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Recognise and critically discuss quantitative techniques suitable for data analysis in particular management situations.
- Critically discuss the underlying assumptions, uses and limitations of these techniques.
- Apply statistical and basic spreadsheet modelling techniques and to correctly interpret the results.
- Use Microsoft® Excel® for basic modelling and data analysis.
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Reading List
| Reading will be provided at the start of the course. |
Additional Information
| Graduate Attributes and Skills |
Subject Specific Skills:
Recognise quantitative techniques suitable for data analysis in particular management situations.
Apply statistical and basic spreadsheet modelling techniques and to correctly interpret the results.
Use Microsoft® Excel® for basic modelling and data analysis.
Transferable skills
Collect, summarise, analyse and present data.
Construct, interpret and communicate statistical information correctly, coherently and precisely.
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| Additional Class Delivery Information |
This zero credit course is designed to help students prepare for other courses in the programme. It consists of 2-6 hours of computer-based tests, up to 80 hours of self-study (including video lectures and tutorials), up to 4 hours of preparatory reading for tests and 10 hours of small-group teaching (revision classes in computer lab). |
| Keywords | Data Analysis Quantitative Research Statistics |
Contacts
| Course organiser | Mr Julian Rawel
Tel: (0131 6)50 8067
Email: |
Course secretary | Mrs Angela Muir
Tel: (0131 6)51 3854
Email: |
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