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Engineering Tripos Part IIB, 4F1: Control System Design, 2023-24

Module Leader

Prof M.C. Smith

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

Coursework activity #1 Final

Coursework 1 brief description

Learning objective:

  • To carry out a controller design using Matlab.
  • The design process to illustrate the design and analysis methods of the course.

Individual Report

anonymously marked

Fri week 9

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 30/05/2023 15:31

Engineering Tripos Part IIB, 4F1: Control System Design, 2018-19

Module Leader

Prof MC Smith

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

[Coursework activity #1 title / Interim]

Coursework 1 brief description

Learning objective:

  •  
  •  

Individual/group

Report / Presentation

[non] anonymously marked

day during term, ex:

Thu week 3

[xx/60]

[Coursework activity #2 title / Final]

Coursework 2 brief description

Learning objective:

  •  
  •  

Individual Report

anonymously marked

  Wed week 9

[xx/60]

 

Booklists

Please see the Booklist for Group F Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 17/05/2018 14:18

Engineering Tripos Part IIB, 4F1: Control System Design, 2020-21

Module Leader

Dr I Lestas

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

Coursework activity #2 Final

Coursework 2 brief description

Learning objective:

  •  
  •  

Individual Report

anonymously marked

Fri week 9

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 25/09/2020 15:07

Engineering Tripos Part IIB, 4F1: Control System Design, 2017-18

Module Leader

Dr I Lestas

Lecturer

Prof M Smith, Dr I Lestas

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

[Coursework activity #1 title / Interim]

Coursework 1 brief description

Learning objective:

  •  
  •  

Individual/group

Report / Presentation

[non] anonymously marked

day during term, ex:

Thu week 3

[xx/60]

[Coursework activity #2 title / Final]

Coursework 2 brief description

Learning objective:

  •  
  •  

Individual Report

anonymously marked

  Wed week 9

[xx/60]

 

Booklists

Please see the Booklist for Group F Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 05/10/2017 07:39

Engineering Tripos Part IIB, 4F1: Control System Design, 2022-23

Module Leader

Prof M.C. Smith

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

Coursework activity #1 Final

Coursework 1 brief description

Learning objective:

  • To carry out a controller design using Matlab.
  • The design process to illustrate the design and analysis methods of the course.

Individual Report

anonymously marked

Fri week 9

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 18/11/2022 16:20

Engineering Tripos Part IIB, 4F1: Control System Design, 2019-20

Module Leader

Prof MC Smith

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

[Coursework activity #1 title / Interim]

Coursework 1 brief description

Learning objective:

  •  
  •  

Individual/group

Report / Presentation

[non] anonymously marked

day during term, ex:

Thu week 3

[xx/60]

[Coursework activity #2 title / Final]

Coursework 2 brief description

Learning objective:

  •  
  •  

Individual Report

anonymously marked

  Wed week 9

[xx/60]

 

Booklists

Please see the Booklist for Group F Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 28/05/2019 15:07

Engineering Tripos Part IIB, 4F1: Control System Design, 2021-22

Module Leader

Prof M.C. Smith

Lecturer

Prof M Smith

Lab Leader

Prof M Smith

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3F1 and 3F2 useful

Aims

The aims of the course are to:

  • establish for the students a fundamental approach to the design of linear control systems.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the role and importance of feedback for the control of uncertain dynamical systems.
  • demonstrate the information conveyed via root locus diagrams for transient behaviour and basic frequency response analysis using Nyquist (polar) and Bode plots.
  • following its basic derivation, illustrate the use of the Nyquist stability criterion with both open loop stable and open loop unstable systems;
  • understand factors which limit achievable performance in feedback systems.
  • use analytical tools to understand trade-offs (e.g. Bode gain/phase relations, sensitivity integrals).
  • translate general requirements for robustness and performance into specifications on the open-loop frequency response.
  • use computer software for simple control system design and system simulation
  • design simple compensators to achieve such specifications.

Content

Control system design (11L)

  • System dynamics, stability and instability, principles and use of root locus plots, derivation of Nyquist stability criterion, Bode theorems and plots.
  • Design of simple P.I.D. controllers and phase compensators. Sensitivity, complementary sensitivity and SISO robustness. Non-minimum phase systems and limitations, bandwidth. Delays in systems.
  • Two degree of freedom design. 

Introduction to Coursework (1L)

Case studies and simulation.

Coursework

Case studies and design by simulation and computer software, e.g. use of Matlab. Four hours DPO time plus report (further four hours).

Coursework Format

Due date

& marks

Coursework activity #2 Final

Coursework 2 brief description

Learning objective:

  •  
  •  

Individual Report

anonymously marked

Fri week 9

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 20/05/2021 07:49

Engineering Tripos Part IIB, 4D17: Plate & Shell Structures, 2025-26

Leader

Professor K A Seffen

Timing and Structure

Lent term. 14 lectures. Assessment: 100% Exam

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the kinematical properties of curved surfaces;
  • understand the load-carrying mechanisms for plates and shell structures;
  • formulate the governing equations of deformation for small displacement behaviour;
  • identify the benefits and limitations associated with closed-form solutions;
  • appreciate the difference between stretching and bending effects in shells;
  • appreciate the effects of geometrical non-linearity;
  • be aware of the current state-of-the art in advanced shells;
  • understand the nature of stability, instability and multistability in shells, and their practical exploitation.

Content

This module introduces the mechanics of plates and shells: thin-walled elastic surfaces that are important components of many structures and engineering devices. Key kinematical concepts are introduced for describing the initial and deformed shape of surface, either to make the description more succinct, or to reveal essential/invariant properties: these include the familiar Mohr’s circle, surfaces of revolution, and the Gaussian curvature. The relationship between internal strains and external shape is revealed for conventional smooth elastic shells. The manufacture of traditional engineering shells is reviewed, and their constitutive response is formulated: more “advanced” shell materials are introduced, including smart materials. The imperatives of equilibrium, compatibility and Hooke’s law are presented for deriving the final governing equations of deformation for circular and rectangular plates undergoing small displacements—a fraction of the thickness of shell. The distinction between bending and stretching responses of the shell is tackled through the membrane hypothesis and extended, first, to axisymmetrical pipe problems, and then to panel buckling under end-wise compression, which introduces geometrically non-linear behaviour. This is extended in cases of more compliant shells where displacements are expected to be much larger—of the order of the thickness, requiring more elaborate analysis techniques for tractable solutions: two approaches are presented, including an introduction of inextensibility theory. Finally, the behaviour and analysis of multistable shells are introduced: these show dramatic shape-changing properties, which may be exploited in novel “morphing” structures.

Geometry and kinematics of surfaces (4L)

  • Properties of curves and surfaces: curvature and twist.
  • Mohr’s circle of curvature and twist.
  • Kinematics of surfaces of revolution and circular plates.
  • Gaussian curvature: extrinsic and intrinsic viewpoints, principal radii of curvature.
  • Inextensibility of creased sheets: simple surface strain, Gauss’ Theorema Egregium.
  • Mixed/hierarchical kinematics: corrugated and compliant shells.

Materials (2L)

  • Traditional engineering materials: metals, composites and natural materials, methods of manufacture, applications.
  • Constitutive laws: bending and stretching generalised Hooke’s laws, thermal effects.
  • Bending and stretching strain energy densities.
  • Advanced engineering materials: review of smart/actuating materials, applications.
  • Natural shells: growth and bio-mimicry, constitutive laws.

Loading of shells: small displacement theories (3L)

  • Bending of circular and rectangular plates: imperatives of equilibrium, Hooke’s Law, and compatibility.
  • Surfaces of revolution: membrane hypothesis and bending-stretching interaction in pipes.
  • Two-surface idealisation and panel buckling.

Loading of shells: large displacement theories (3L)

  • Non-linear methods: solutions by inspection and substitution; the lenticular plate.
  • Inextensibility Theory.

Unloaded shells: multistability (2L)

  • Applications.
  • Analytical modelling: effects of material constitution, pre-stress, actuation and shape.

Booklists

Please see the Booklist for Group D Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 11/06/2025 17:44

Engineering Tripos Part IIB, 4D15: Sustainable Water Engineering, 2020-21

Leader

Prof R Fenner

Lecturer

Prof R Fenner

Lab Leader

Prof R Fenner

Timing and Structure

Lent term. 16 lectures ( Eight 2 hour sessions) + coursework. Assessment: 100% coursework.

Aims

The aims of the course are to:

  • Recognise the unsustanable feature of current water engineering practice
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Be aware of recent practices and developments in managing all aspects of the water cycle in both developed and developing countries

Objectives

As specific objectives, by the end of the course students should be able to:

  • Understand the limitations of conventional /traditional water supply and wastewater engineering systems in a sustainability context.
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Recognise and critically assess the problems and solutions associated with managing water engineering projects.
  • Be familiar with key aspects of drainage and wastewater management planning including the merits of Natural Flood Management (NFM) , Sustainable Drainage Systems (SuDS) and strategies for asset selection based on adaptation planning techniques.
  • Be aware of the asset management of water infrastructure and how this is influenced by serviceability and levels of service criteria.
  • Recognise global issues in relation to the equitable management, distribution and disposal of water under growing environmental, social and political constraints.
  • Relect appropriate forms of water supply and sanitation for use in developing countries.

Content

The module will introduce and explore the   delivery of water services for water supply, wastewater treatment and flood control, identifying  unsustainable  aspects of current practice and reviewing  more resilient approaches.  The changing paradigms of water management towards fully water sensitive cities will be explained to understand how water fits within a wider urban metabolism.  The module will describe management strategies for water in both the urban environment and water in the rural environment, through adopting a flexible adaptation planning approach which avoids technical lock-in.  The interdependencies between water and other critical resources will be identified with respect to energy use and  recovery of nutrients;  the carbon budgets associated with the water sector will be assessed. Current progress towards achieving Sustainable Development Goal 6 (Water) will be discussed and the key constraints of delivering essential water services in the developing world will be highlighted

Characteristics and components of water systems (overview)

Potable water treatment and supply.  Wastewater collection and treatment.  Urban drainage and flood control. Changing paradigms of water management .  Unsustainable features of current water management.  Water as a hazard and an opportunity

Sustainable water engineering and resilience frameworks

5 themes for sustainable  water management ( less water consumed; local waste  treatment  and recycling, stormwater retained, climate resilient, minimum energy  footprint). System properties and levels of service considerations.   Engineering vs ecological resilience; technical vs management resilience.   Avoiding technical lock-in to large infrastructure solutions. The Safe and SuRe approach; anti-fragile  planning of water systems;  (threat based, mitigation focussed top down water management vs  consequence based, coping focussed bottom up management strategies) 

Water quality issues and resource recovery

Water quality parameters and regulatory requirements; water quality prediction and control;  simple river quality models.  Engineered systems for resource recovery and re-use

Water in the urban system

Urban water metabolisms; integrated operation of water systems (e.g.  rainwater harvesting) ; real time control. Pressure and leakage  management in Water Distribution systems. Urban Drainage Systems- purpose, types and historical development.  Rainfall and surface runoff. Urban Pollution Management of intermittent discharges at Combined Sewer Overflows.  Principles of Urban Flood Risk Management. Source control of stormwater and Design of Sustainable Drainage Systems (SuDS Manual)

Flood Risk Management using Adaptation Planning and Adaptive pathways

Concepts of Adaptive Planning ( e.g.  Thames barrier example). Methodological steps for developing adaptation pathways ( London Borough of Sutton Case Study) and appraisal  of multiple benefits in Blue Green Cities. Evaluating Blue-Green infrastructure using the  CIRIA B£St tool. Preparing Drainage and Wastewater Management Plans

Water in the rural system

Management of water resources, impacts of climate variability, catchment management. Principles of Natural Flood Management (NFM) and Integrated Catchment management (ICM);  international experience and practice.  Environmental benefits of land management, Upstream Thinking.

Role of water in water-energy-food/land nexus

Hydro-meteorological risks to critical infrastructure (including energy systems); water and energy interdependencies; groundwater implications of shale gas extraction;  strategies for a low carbon water industry, UKWIR framework for carbon accounting; energy from water (micro hydro, thermal heat recovery, anaerobic digestion of biomass etc), water for energy in a low carbon energy future; issues around water and food security.

Water in the developing world

Progress towards Sustainable Development Goal 6; global level of access to water services. Water related diseases.  Key features of Water Sanitation and Hygiene (WASH) programmes. Systems thinking in WASH.  Small community water supply systems. Low cost wastewater  treatment  (waste stabilisation ponds). On and off site sanitation including dry sanitation.

Coursework

Coursework Format

Due date

& marks

Coursework 1: Individual Research Report on a key water related topic

An open ended  investigation in further detail of one aspect of water engineering practice

Learning objective:

  • To  develop the ability to seek new information and achieve a balanced critique of the existing literature through individual research of relevant details/topics NOT covered in the lecture programme
Individual Report
 anonymously marked

day during term, ex:

Thu week 4

[30/60]

Coursework 2: Resilience assessment of one aspect of water engineering practice

A critique of  one aspect of  current water engineering practice (e.g supply, wastewater dispsoal, drainage, development) against resilience criteria and propose key areas for change

Learning objective:

  • To apply a resilience and sustainable mindset to the delivery of water services

Individual Report

anonymously marked

  Wed week 9

[30/60]

 

Booklists

 

1.      Ainger C., Fenner R.A. (2016)   Sustainable  Water   ICE Publishing   ISBN 978-0-7277-5773-9

 

2.      Radhakrishnan M., Lowe R., Ashley R.M., Gersonius  B., Arnbkerg-Nielsen K., Pathirana A., Zevenbergen C (2019) Flexible adaptation planning process for urban adaptation in Melbourne, Australia Proceedings of Institution of Civil Engineers – Engineering Sustainability Volume 172 Issue 7 September 2019 pp 393-403

 

3.      Ashley R.M. Gersonius B., Horton B (2020) Managing flooding - From a problem to an opportunity . Royal Society Philosophical  Transactions A  Volume 378 Issue 2168 Paper 0214 

 

4.      David Butler, Sarah Ward, Chris Sweetapple, Maryam Astaraie-Imani, Kegong Diao,Raziyeh Farmani & Guangtao Fu   (2016) Reliable, resilient and sustainable water management: the Safe & SuRe approach  Global Challenges 2016 (John Wiley)  

 

5.      Kate Neely (ed) (2019) Systems thinking in WASH  Practical Action Publishing ISBN-078-1-78853-026-2

 

6.      Butler D., Digman C., Makropoulos C., Davies J.W. ( 2018) Urban Drainage 4th edition.  CRC Press ISBN 978-1-4987-5058-5

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

 
Last modified: 02/10/2020 10:27

Engineering Tripos Part IIB, 4D15: Water management under climate change, 2025-26

Leader

Dr E Borgomeo

Lecturer

Dr E Borgomeo

Timing and Structure

Lent term. 16 lectures ( Eight 2 hour sessions) + coursework. Assessment: 100% coursework.

Aims

The aims of the course are to:

  • Recognise the unsustainable feature of current water engineering practice
  • Understand the impacts of climate change on water resources, and approaches to adapt
  • The ability to evaluate recent practices and developments in managing all aspects of the water cycle, with an emphasis on developing countries

Objectives

As specific objectives, by the end of the course students should be able to:

  • Understand the limitations of conventional /traditional water supply and wastewater engineering systems in a sustainability context.
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Recognise and critically assess the problems and solutions associated with managing water engineering projects in developing countries
  • Be familiar with key aspects of water management in an international development context
  • Recognise global issues in relation to the equitable management, distribution and disposal of water under growing environmental, social and political constraints.

Content

Leonardo Da Vinci remarked that ‘Water … is the cause of life or death, of increase or privation, nourishes at times and at others does the contrary …’. Today, water is at the centre of the sustainable development and climate action agendas. The most serious and high-profile impacts of climate change are being felt through water: floods, droughts, melting of ice and reduced snow cover, amongst others. Water is also a major sustainable development challenge: worldwide, 844 million people lack access to drinking water, and 2.3 billion do not have access to latrines or other basic sanitation facilities, mostly in low- and middle-income countries. High-income countries are also faced with water-related policy and engineering dilemmas. In the UK, the water sector is facing a major governance and investment crisis, and in the US, millions of people are drinking potentially unsafe tap water.

The module explores established and emerging practices for managing water under climate change. The module introduces key water issues around the world, including access to water supply and sanitation, flood and drought risk management, irrigation water service provision, and freshwater ecosystem degradation. Established and emerging engineering and policy practices for addressing these issues under climate change will be reviewed, including risk-based water resources planning, water allocation reform, and nature-based solutions. The interdependencies between water and other critical resources and sectors will be explored, with respect to greenhouse gas emissions, energy use, and food security. The module features discussions of present-day applications, with a focus on case studies from Africa, Asia, and Latin America and guest speakers from industry and policy.

 

Why Plan and Manage Water?

Climate change expresses itself through water. Nine out of ten ‘natural’ disasters are water-related. Water-related climate risks cascade through food, energy, urban and environmental systems. If we are to achieve climate and development goals, water must be at the core of adaptation strategies and development policy. This lecture describes some of the challenges and opportunities related to water, with examples from around the world. Problems of water management include too much, too little, too polluted, or too expensive water. The lecture also provides an overview of global progress towards Sustainable Development Goals 6 on ensuring availability and sustainable management of water and sanitation for all.

 

Approaches for Water Resources Planning and Management

Water resources planning and management activities are usually motivated by the realization that there are problems to solve and/or opportunities to obtain increased benefits by changing the management and use of water and related resources. This lecture presents water planning and management approaches, focusing on their technical, financial and economic, institutional and governance aspects. The different paradigms of water resources planning and management are discussed, including top-down planning, bottom-up planning, and Integrated Water Resources Management. The lecture evaluates the engineering paradigms and tools typically used to support planning and management and identifies the potential to update them in light of sustainable development and climate goals. The approaches and framework discussed in this lecture will serve the basis for the sub-sector deep-dives in the following lectures.

 

Are we going to run out of water?

Households, farms, factories, and ecosystems around the world are being forced to live with less water. Water crises are now amongst the top global risks, and many cities are already facing water shortages. This lecture unpacks the concept of water scarcity to explore its multiple dimensions and map its consequences at global and local levels. What are the main sources of water? And how do societies use it – and value it? Will we run out of water? Taking the world’s most water scarce region (Middle East and North Africa) as a case study, the lecture responds to these questions and evaluates alternative responses to water scarcity, with a focus on engineering options that manufacture new water through wastewater reuse and desalination.

 

Can clean energy help ease the water crisis?

How does the energy sector use water? What are the potential impacts of energy system transformation on water supplies? And how much energy does the water sector utilize? This lecture explores the ‘nexus’ between energy and water, examining both water for energy and energy for water, and presenting options for integrated energy and water systems planning. Taking the case study of a water utility in Brazil, the lecture discusses pathways to reduce energy consumption in the water sector.

 

Can we grow more food with less water?

Sustainable food production will not happen if water is not managed properly. Agriculture accounts for 70 percent of global freshwater withdrawals, and remains a major source of water pollution. Against this backdrop, engineers and policy-makers around the world often promote investments to grow more ‘crop per drop’, that is, more food with less water. This lecture explores the opportunities of growing more food with less water, and reveals some of the linkages between food and water policy that engineers need to be aware of when seeking to maximize efficiency in the water sector. Taking the case study of solar-power irrigation systems in India, the lecture discusses the complexities of integrated water-food-energy policy.

 

Working with nature: can ecosystems-based approaches help achieve water security?

Engineers around the world increasingly work with natural processes to reduce the impacts of floods and droughts, or to improve water quality. This lecture describes multiple types of nature-based solutions, and their benefits in terms of water-related outcomes and broader environmental outcomes. Taking the case study of natural flood management in the UK, the lecture discusses the approaches for working with nature to improve water security.

 

Sharing water, sharing problems?

As water scarcity increases around the world, the spectre of ‘water wars’ is often evoked by the media and by politicians. While water is indeed a source of tension between and within countries, it is very rarely a direct cause of war or conflict. This lecture reviews the complexities of managing water across boundaries and explores the evidence that helps dispel the myths of water wars. Two case studies from river basins in Africa showcase the potential for water engineering to contribute to cooperative transboundary water management.

 

Putting it all together: project planning for climate adaptation in the water sector

The course introduced some of the water-related challenges and opportunities encountered around the world, and the tools that are being used to address them.  The final lecture combines messages from the previous lectures to draw some general lessons on good practices for climate adaptation in the water sector. The concepts of robustness and adaptive planning are introduced, and a framework for analysis and implementation of projects is evaluated with examples from projects from different parts of the world.

 

Coursework

Coursework Format

Due date

& marks

Coursework 1: Policy Brief on access to drinking water supply and sanitation

In this assignment, you will search for and handle water-related data and use this data to provide timely policy advice. The assignment gives you a chance to focus on perhaps one of the largest sustainable engineering challenges of our times not covered extensively in your degree: extending access to drinking water supply and sanitation.

You will learn to use data to craft policy recommendations: this is an approach routinely used by development banks, governments, NGOs, and other interest groups to define priorities for policy support and investment pipelines. Data-driven analysis is also widely used to do advocacy, and you could end up using results from this assignment to write a blog raising awareness about gaps in access to drinking water supply and sanitation in a country/geography of interest to you.

Learning objective:

  • To  develop the ability to seek new information and achieve a balanced critique of the existing literature through individual research of relevant details/topics NOT covered in the lecture programme
Individual Report
 anonymously marked

day during term, ex:

Thu week 4

[20/60]

Coursework 2: Water Strategy

“When everything is a priority, nothing is a priority.” Countries around the world are increasingly grappling with the consequences of failing to manage their water. However, governments and policymakers are often pulled in many different directions and often don’t have the fiscal space to pursue all policies and investments all at once. Against this backdrop, the development of national water strategies is an important tool to help policymakers identify national priorities for the water sector, sequence their policies/investments, assign responsibilities, and define metrics to track progress. In this assignment, you will review the national water strategy of a country (Jordan, Kenya, Uzbekistan) and provide your expert opinion.

Learning objective:

  • In this assignment, you will learn to read national water strategies, critically evaluate their structure and content, and make recommendations for solutions to address one specific priority area identified in the strategy (e.g., expanding irrigation, increasing access to water supply and sanitation, strengthening flood risk management, transboundary water management, inclusion in water management). In turn, this will help you develop the ability to critically evaluate the role of water engineering within broader national development agendas.  

Individual Report

anonymously marked

  Wed week 9

[40/60]

 

Booklists

Loucks, D. P., & Van Beek, E. (2017). Water resource systems planning and management: An introduction to methods, models, and applications. Springer

World Bank. (2017). Beyond Scarcity: Water Security in the Middle East and North Africa. The World Bank.

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

 
Last modified: 06/06/2025 12:38

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