Learning Outcomes:
By the end of the module, students should be able to:
- Load different types of data using SAS
- Manipulate data sets using SAS
- Analyse data using suitable methods in SAS
- Plot data in using SAS
Data Prog with SAS (online) (STAT40840)
Curricular information is subject to change.
In this module students will learn how to manipulate data and perform statistical calculations using SAS.
About this Module
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Computer Aided Lab | 12 |
| Autonomous Student Learning | 80 |
| Online Learning | 24 |
| Total | 116 |
Approaches to Teaching and Learning:
Video lectures posted each week that walk though module content, blending theory with example exercises.Practice problem sheets to enable self-assessment of learning outcomes. Sample solutions for these will be posted after each problem set. Coding based problem sets posted with solutions again following.
All content delivered using the VLE which includes a monitored discussion forum with topics created for each weeks lecture material and each problem set.
Requirements, Exclusions and Recommendations
Learning Requirements:Students should have completed basic course in statistics and have a general understanding of calculus.
Module Requisites and Incompatibles
Not applicable to this module.Assessment Strategy
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment(Including Essay): Two assignments, worth 20% and 30% of the final grade, respectively will be released in weeks 3, and 7, approximately. You will have two weeks to complete each. |
Week 3, Week 7 | Alternative linear conversion grade scale 40% | No | 50 |
No |
| Exam (Take-Home): A take-home project, worth 50%, due near the end of week 12/end of trimester. | Week 12 | Alternative linear conversion grade scale 40% | No | 50 |
No |
Carry forward of passed components
No| Resit In | Terminal Exam |
|---|---|
| Autumn | No |
Feedback Strategy/Strategies
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
How will my Feedback be Delivered?
Not yet recorded.
Cody, R.: An Introduction to SAS University Edition (2015).
Cody, R.: An Gentle Introduction to Statistics Using SAS Studio (2019).
Bakerman, J.: SAS Programming for R Users (2019).
Cody, R.: An Gentle Introduction to Statistics Using SAS Studio (2019).
Bakerman, J.: SAS Programming for R Users (2019).
| Name | Role |
|---|---|
| Maria Frizzarin | Lecturer / Co-Lecturer |
| John O'Sullivan | Lecturer / Co-Lecturer |
| Dr Szymon Urbas | Lecturer / Co-Lecturer |
| Ms Keerthi Venkatesh | Tutor |