EEEN3018J Numerical methods/optimization

Academic Year 2021/2022

Numerical methods and Optimization are both essential mathematical tools that can be applied across many Engineering fields.
Numerical methods is the study of techniques used to find numerical solutions to systems of mathematical equations where closed form analytical solutions are either not available or otherwise too difficult to compute,
Optimization is a general field of study that attempts to find solutions to systems of equations that optimize (either maximize or minimize) some target function subject to various constraints, The tools developed here are generic in nature making the applicable to many domains.

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Curricular information is subject to change

Learning Outcomes:

Basic Numerical methods techniques.
Also covered is linear programs, quadratic programs and integer linear programs

Student Effort Hours: 
Student Effort Type Hours
Lectures

36
Laboratories

16
Total

52
Approaches to Teaching and Learning:
Lectures where material is explained coupled with Labs where the students see first had the principles.
 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Additional Information:
This module is delivered overseas.


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: End of term proctored examination (2hr) 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

60
Continuous Assessment: Assignment based assessment Throughout the Trimester n/a Alternative linear conversion grade scale 40% Yes

40

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr John Healy Lecturer / Co-Lecturer