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CE52001: Advanced numerical methods

[Page last updated: 16 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Chemical Engineering
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CWRG 50%, CWSG 50%
Assessment Detail:
  • Advanced numerical methods report (CWRG 50%)
  • Advanced numerical methods test (CWSG 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Choose and apply advanced AI / ML methods in the context of engineering and design
Demonstrate teamwork competencies and evaluate effectiveness of own and team performance.
Develop and critically evaluate AI-driven solutions to complex engineering and design problems


Synopsis: Study advanced algorithms and methods for AI and ML and apply them effectively to creative design, creative problem solving, engineering processes, decision making and innovation. Explore topics such as data mining, modelling and optimisation.

Aims: Study advanced algorithms and methods for AI and ML and apply them effectively to enhance creative design, creative problem solving, engineering processes, decision making and innovation. Explore topics such as data mining, modelling and optimisation.

Skills: Data modelling, design optimisation, data verification and validation.

Content: Data-driven modelling
Parameter and design optimisation
Data mining and model fitting
Data synthesis
Uncertainty quantification
Verification and validation

Course availability:

CE52001 is a Must Pass Unit on the following courses:

Department of Electronic & Electrical Engineering
  • TEEE-AFM22 : MSc Artificial Intelligence for Engineering and Design
  • TEEE-AWM22 : MSc Artificial Intelligence for Engineering and Design

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.