Postgraduate Course: Introduction to SAS (CMSE11210)
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 | 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
Sorting, printing and summarizing
Formats and informats
Manage the variables
Help and General syntax
Plotting and graphics
Macro 1
Macro 2
Linear regression
Merging
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 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 |
Students MUST have passed:
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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 2019/20, 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 |
| Additional Information (Learning and Teaching) |
20 hours of lecturing (including explanation and demonstrations) in the computer lab.
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| Assessment (Further Info) |
Please contact the School directly for a breakdown of Assessment Methods
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| Additional Information (Assessment) |
This is a zero-credit course. Hence, no assessment applies. Students are encouraged to take part on the SAS DATA Challenge, in order to practice their coding skills and get formative feedback.
Submissions for the SAS Data Challenge will done online. |
| 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.
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| 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 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
Recommended:
Lora D. Delwiche and Susan J. Slaughter (2012) The Little SAS Book: A Primer. 5th edition.
Stephen. McDaniel Chris Hemedinger., Hoboken, N.J. SAS for dummies. Wiley Publishing, Inc. ;2010
Further reading:
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.
Resource List:
https://eu01.alma.exlibrisgroup.com/leganto/public/44UOE_INST/lists/18388083900002466?auth=SAML
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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 Pawel Orzechowski
Tel:
Email: |
Course secretary | Mrs Kelly-Ann De Wet
Tel: (0131 6)50 8071
Email: |
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