Postgraduate Course: Working with Data in SAS (CMSE11453)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of the course is to provide the students with the knowledge and skills to work with datasets using SAS programming language. SAS is widely used by in banking for processing and analysing datasets. A brief introduction to Macro Language and basic coding commands is also included in the course.
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| Course description |
The course develops computational skills essential to make decisions when working in a bank. The course provides the basic knowledge needed to run programs in a SAS environment, to input and manipulate data, combining and modifying datasets and running statistical procedures using SAS. A basic introduction to coding informatics programs and creating Macro commands will be included.
Outline Content:
A selection of topics among:
- Introduction, getting started with SAS
- Sorting, printing and summarising
- Formats and informats
- Manage the variables
- Help and General syntax
- Plotting and graphics
- Macro 1
- Macro 2
- Linear regression
Student Learning Experience:
During the course, the students will be experiencing a real contact with the statistic software SAS. The program is introduced using a mixture of demonstration, self-learning and practice. A mixture of on-site, synchronous and asynchronous Q&A sessions will be used for interactions. Each lecture will consist of a mini project of increasing difficulty.
Tutorial/seminar hours represent the minimum total live hours - online or in-person - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, lecture, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Know, understand and critically discuss how SAS programs work.
- Know, understand and critically discuss the main parts of a SAS program.
- Apply the main routines available in SAS for data analysis, to a range of problems.
- Conceptualise and critically evaluate the structure of estimation commands in standard statistical package.
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Reading List
Delwiche, L.D. and Slaughter, S.J (2019) The Little SAS Book: A Primer. 6th edition.
Delwiche, L.D, Ottesen, R.A., and Slaughter, S.J. (2020) Exercises and Projects for The Little SAS Book, Sixth Edition.
Resource List:
https://eu01.alma.exlibrisgroup.com/leganto/public/44UOE_INST/lists/27699617780002466?auth=SAML |
Additional Information
| Graduate Attributes and Skills |
Cognitive Skills
On completion of the course a student should be able to:
1. Demonstrate a critical understanding of the role of high-level programming language in analytics.
2. Demonstrate a critical understanding of the potential and limitations of high-level programming language.
3. Demonstrate a critical understanding of the aims and potential of data analytics.
4. Demonstrate a high level understanding of the application of programmes to analyse and manage databases.
5. Conceptualise and critically evaluate the structure of process of analysing datasets, including collection, pre-processing, analysing the data and presenting the results.
6. Demonstrate leadership and/or originality in tackling and resolving problems and issues.
Subject Specific Skills:
After completing this course, students should be able to:
1. Read, run, manipulate and create programs in a SAS environment,
2. Manipulate programs written by others,
3. Input and manipulate data in SAS,
4. Analyse data and estimate regression models using SAS,
5. Develop programs in SAS for repetitive analysis,
6. Use SAS to analyse and manage databases.
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| Keywords | programming,data,sas |
Contacts
| Course organiser | Dr Belén Martín-Barragán
Tel: (0131 6)51 5539
Email: |
Course secretary | Miss Mary Anne Boeff
Tel: (0131 6)50 8072
Email: |
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