Postgraduate Course: Introduction to SAS (CMSE11210)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 0 |
ECTS Credits | 0 |
| Summary | This course develops a student's knowledge and skills in the practical analysis of empirical data. |
| Course description |
The aim of the course is to provide an overview of the statistical software SAS, which is widely used by in banking. A particular emphasis is placed on developing the ability to input and manipulate data and to run statistical procedures. A brief introduction to Macro Language and basic coding commands is also included in the course.
The course introduces the statistical software SAS. 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.
Syllabus
Introduction, getting started with SAS
Reading and creating datasets.
Manage the variables
Formats and informats.
Concatenate and merge datasets
Plotting and graphics
General procedure. Introduction to the statistical package
Case study: Regression
Iterative processing
Introduction to Macro Language.
Student Learning Experience
During 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 in the computer laboratory. Students will have a number of exercises to work through during each session and the solutions will be demonstrated. Students may ask questions in the demonstration sessions.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | For Business School PG students only, or by special permission of the School. Please contact the course secretary. |
Information for Visiting Students
| Pre-requisites | Business School postgraduate students only. |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2015/16, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Please contact the School directly for a breakdown of Learning and Teaching Activities |
| Assessment (Further Info) |
Please contact the School directly for a breakdown of Assessment Methods
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| Additional Information (Assessment) |
N/A |
| Feedback |
This course will not be formally assessed. Feedback will be provided to each student during the session through the demonstration of the solutions to proposed problems. |
| No Exam Information |
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 of the main parts of a SAS programs
- 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
Lora D. Delwiche and Susan J. Slaughter (2012) The Little SAS Book: A Primer. 5th edition. E-copy of 2008 edition at:
http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=237557&site=ehost-live
SAS Institute SAS/STAT User¿s Guide 9.1.3.
http://support.sas.com/onlinedoc/913/docMainpage.jsp
Cody, Ron (2007) Learning SAS by example: a programmer's guide. SAS Institute. Available at:
http://sites.stat.psu.edu/~hma/PSU/Learning%20SAS%20by%20Example%20A%20Programmers%20Guide.pdf |
Additional Information
| Graduate Attributes and Skills |
Cognitive Skills:
After completing this course, students should be able to:
- Read and run programs,
- Manipulate programs written by others
- Create their own programs to save time or modify existing methods
- Implement estimation routines and data summary routines,
Subject Specific Skills:
After completing this course, students should be able to:
- Read, run, manipulate and create programs in a SAS environment,
- Input and manipulate data in SAS,
- Implement estimation routines and data summary routines in SAS,
- Be able to output results in various forms using SAS. |
| Keywords | SAS |
Contacts
| Course organiser | Dr Fernando Moreira
Tel: (0131 6)51 5312
Email: |
Course secretary | Miss Ashley Harper
Tel: (0131 6)51 5671
Email: |
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