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 |
Not entered
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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 |
Course Delivery Information
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| Academic year 2014/15, 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 |
Not entered |
| No Exam Information |
Learning Outcomes
Knowledge and Understanding
After successfully completing the course the student will
a) have a knowledge and understanding of how to run programs in a SAS environment,
b) have a knowledge and understanding of how to input and manipulate data in SAS,
c) have a knowledge and understanding of how to implement a range of estimation, routines and data summary routines using SAS.
Cognitive Skills
On completion of the course a student will be able to
a) Conceptualise the structure of estimation commands in standard statistical package
Professional/subject specific/practical skills
On completion of the course a student will be able to
a) input and manipulate data, so implement statistical analysis procedures and to output results in various forms using SAS.
Transferable skills
During the course a student will develop skills to
a)Use SAS to manipulate data and perform various statistical procedures for many empirical problems.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Belén Martín-Barragán
Tel: (0131 6)51 5539
Email: Belen.Martin@ed.ac.uk |
Course secretary | Miss Malgorzata Litwinska
Tel: (0131 6)51 3028
Email: Maggie.Litwinska@ed.ac.uk |
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