ACM40950 Projects Math Modelling

Academic Year 2019/2020

Mathematical and computational techniques will be developed to provide integrative methodologies for solving applied problems. The course consists of lectures and assignments.

Topics will be drawn from Discrete Event Simulation and Stochastic models.

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Curricular information is subject to change

Learning Outcomes:

To integrate computational and mathematical skills for problem solving.
To develop realistic modelling frameworks.
To identify and apply current research analysis to applied problems.
To write, present and communicate mathematics in an applied setting.

Indicative Module Content:

Topics will be drawn from Discrete Event Simulation and Stochastic models.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Specified Learning Activities

48
Autonomous Student Learning

28
Total

100
Approaches to Teaching and Learning:
Lectures and Assignments. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Assignments Throughout the Trimester n/a Standard conversion grade scale 40% No

100

Carry forward of passed components
No
 
Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
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 Sarp Akcay Lecturer / Co-Lecturer
Catherine Mahoney Tutor