Module overview
Linked modules
Prerequisites: (MANG1007 or MANG1019) and MANG1022
Aims and Objectives
Learning Outcomes
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- use your analytic skills in problem solving;
- communicate technical ideas to non-specialist managers.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- manipulate, analyse, visualize and report data using SAS.
- read structured and unstructured data stored in popular formats such as excel worksheets, text tables into SAS;
- store data in SAS libraries;
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- the SAS Base language and how it is used to manage, analyse and report data.
- key computer programming concepts for managing and analysing ‘big data’;
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Completion of assessment task | 48 |
Wider reading or practice | 30 |
Lecture | 24 |
Revision | 24 |
Preparation for scheduled sessions | 12 |
Practical classes and workshops | 12 |
Total study time | 150 |
Resources & Reading list
Textbooks
Sas Institute (2011). SAS Certification Prep Guide: Base Programming for SAS 9. SAS Institute.
Peng, J.C.Y. (2009). Data Analysis Using SAS. Sage.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
In-class activities
- Assessment Type: Formative
- Feedback: Formative assessment and feedback will arise from class activities and computer lab sessions.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Program | 20% |
Data analysis project | 80% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Data analysis project | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Data analysis project | 100% |
Repeat Information
Repeat type: Internal & External