As well as traditional lectures students will undertake in-class exercises on material presented in class. Small group tutorials will encourage further problem solving and discussion.
Module Aim:
To provide students with mathematical techniques appropriate for computer systems management.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1
Newton's Method, Least Square Line, Curve Fitting, Least Square Method and Data Linearisation.
LO2
Numerical Techniques
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
Module Content & Assessment
Indicative Content
Numerical Methods
Newton's method, line and curve fitting, forecasting
n/a
basic statistics
n/a
Assessment Breakdown
%
Continuous Assessment
50.00%
End of Module Formal Examination
50.00%
Continuous Assessment
Assessment Type
Assessment Description
Outcome addressed
% of total
Assessment Date
Examination
written exam
1
50.00
n/a
No Project
No Practical
End of Module Formal Examination
Assessment Type
Assessment Description
Outcome addressed
% of total
Assessment Date
Formal Exam
Final written exam
2
50.00
End-of-Semester
SETU Carlow Campus reserves the right to alter the nature and timings of assessment