Postgraduate Course: Quantitative Methods and Tools (EMBA) (CMSE11219)
||College||College of Arts, Humanities and Social Sciences
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||This non-credit bearing course aims to develop an understanding of basic probability, statistics and spreadsheet modelling techniques to support management decision-making.
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.
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
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.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Not being delivered|
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.
|Reading will be provided at the start of the course.|
|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.
Collect, summarise, analyse and present data.
Construct, interpret and communicate statistical information correctly, coherently and precisely.
|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
|Course organiser||Mr Julian Rawel
Tel: (0131 6)50 8067
|Course secretary||Mrs Angela Muir
Tel: (0131 6)51 3854