ACM30130 Computational Problem Solving

Academic Year 2022/2023

Mathematical and computational techniques will be developed through short courses and workshops to provide integrative methodologies for solving applied problems. The course consists of seminars, lectures, lab-based programming exercises, assignments and projects.

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Curricular information is subject to change

Learning Outcomes:

Students will learn:

• To work with both symbolic and numerical computational tools for rapid modelling, analysis, simulation and visualisation.
• To integrate computational and mathematical skills for problem solving.
• To develop realistic modelling frameworks.
• To produce informative graphics and visualisation that enhance understanding of a problem.
• To manipulate and perform an analysis of data.
• 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 a broad base. Representative topics include: bifurcations and chaos, stochastic differential equations, applied queuing theory, agent-based models, nonlinear waves, patterns and solitons, asymptotic methods, optimization, social networks.

Student Effort Hours: 
Student Effort Type Hours
Lectures

12

Computer Aided Lab

24

Specified Learning Activities

36

Autonomous Student Learning

36

Total

108

Approaches to Teaching and Learning:
Lectures, active learning, lab work, enquiry & problem-based learning, student presentations. 
Requirements, Exclusions and Recommendations
Learning Requirements:

Students must have taken ACM20030 Computational Science or an equivalent.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Class Test: Two computer-based coding exams Throughout the Trimester n/a Standard conversion grade scale 40% No

40

Project: Three mini-projects drawn from the material covered in the lectures. Throughout the Trimester n/a Standard conversion grade scale 40% No

60


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

• Group/class feedback, post-assessment
• Online automated feedback

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