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Advanced Mathematical Modelling and Analysis (BARC0130)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Architecture
Credit value
15
Restrictions
Compulsory for students registered on the second year of the MEng in Engineering and Architectural Design. In addition some places may be available to students on: BSc Architectural and Interdisciplinary Studies and BSc Architectural and Interdisciplinary Studies [with a year abroad] subject to rooming capacity restrictions. Students taking the latter two degrees must make contact with the module convenor to determine if they have the appropriate mathematical background to succeed on the module, before selecting this module as a potential choice.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Advanced Mathematical Modelling & Analysis will deepen your understanding of the core mathematical concepts, and modelling and analysis skills, that underpin the practise of engineering and architectural design. You will learn mathematical tools and approaches that you will call upon throughout your career, regardless of specialism. You will do this by developing mathematical models of the engineering and design problems, and then simulating and analysing these models using software tools like MATLAB and Excel.

By the end of this module, you will be expected to:

  • Recognise the connections between mathematics and engineering and how mathematical ideas are embedded in engineering and architectural contexts;
  • Represent real-world systems from Engineering and Architectural Design in a mathematical framework;
  • Identify and draw upon a range of advanced mathematical concepts in Real and Complex Analysis (Series and Approximations), Linear Algebra (Matrices, Frame Transformations, Least Squares Analysis in matrix form), Probability & Statistics (Statistical Inference, Time Series Analysis), and Estimation Theory to analyse specific problems and identify the appropriate mathematics required to create a solution;
  • Employ appropriate computer programming and modelling software such as MATLAB and Excel and statistical analysis to efficiently solve and evaluate the performance of engineering systems;
  • Relate the behaviour of the output of mathematical models to the underlying physical or conceptual models of interest;
  • Carry out engineering problem solving collaboratively and independently;
  • Present and interpret mathematical results in effective and appropriate ways to varied audiences, including non-mathematical audiences.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study
In person
Methods of assessment
40% Coursework
60% Fixed-time remote activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
50
Module leader
Dr Santosh Bhattarai
Who to contact for more information
dan.carter@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed timed assessments and in-class activity will be confirmed by the teaching department for the module.

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