STAT40840 Data Prog with SAS (online)

Academic Year 2022/2023

In this module students will learn how to manipulate data and perform statistical calculations using SAS.

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Curricular information is subject to change

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

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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Practical Examination: End of trimester practical assessment. Unspecified n/a Graded No

50

Continuous Assessment: Computer lab exercises Throughout the Trimester n/a Graded No

50


Carry forward of passed components
No
 
Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr John O'Sullivan Lecturer / Co-Lecturer