Undergraduate Teaching 2025-26

2025-26

2025-26

Not logged in. More information may be available... Login via Raven / direct.

Engineering Tripos Part IIA, 3F1: Signals & Systems, 2025-26

Module Leader

Dr J Sayir

Lecturers

Dr J Sayir, Prof G Vinnicombe

Lab Leader

Dr J Sayir

Timing and Structure

Michaelmas term. 16 lectures.

Aims

The aims of the course are to:

  • Cover three basic topics in signals and systems which provide the basis for further topics in signal processing, communications, control and related subjects.
  • Introduce the z-transform
  • Introduce digital filtering.
  • Introduce stochastic processes.

Objectives

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

  • Be familiar with the theory and application of the z-transform.
  • Analyse the stability of discrete-time systems
  • Understand the use of correlation and spectral density functions.
  • Analyse the behaviour of linear systems with random inputs.

Content

Enabling theory, application and design

Introduction to signals and systems, discrete time signals and systems, Z-transform

  • Discrete signals and systems, LTI systems, convolution. 
  • z-transform and solution of linear difference equations
  • System analysis in the z-domain. 
  • Impulse and frequency responses.

Applications & digital filtering

  • Design and properties of digital feedback systems. Nyquist stability criterion. 
  • Design and properties of Digital Filters, FIR and IIR
  • Analysis of systems with discrete/continuous interfaces.
  • DTFT/DFT and links to z-transforms 
  • The Fast Fourier Transform (FFT)
  • Windowed spectral analysis of data 

Introduction to random processes and linear systems

  • Continuous time random processes, correlation functions, spectral density.
  • Response of continuous time linear systems to random excitation.

Coursework

Flight control

Learning objectives

  • Simulation of various aircraft models on the computer.
  • Study real-time (manual) control and the limitations imposed by time delays.
  • Design of a simple autopilot.
  • Illustrate frequency response concepts in analogue and digital control systems, conditions for oscillation in feedback systems and stability.
  • Gain familiarity with MATLAB.

Practical information:

  • Sessions will take place in the EIETL laboratory on Wednesdays and Fridays of full term from 11am-1pm.
  • Students will find it helpful to read through the lab sheet in advance of carrying out the experiment.
  • Students will have the option to submit a Full Technical Report.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA 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.

 
Last modified: 19/11/2025 11:38

Engineering Tripos Part IIA, 3E10: Operations Management for Engineers, 2025-26

Leader

Dr Gökçen Yilmaz

Lecturer

Dr Gökçen Yilmaz

Lecturer

Prof Feryal Erhun-Oguz

Timing and Structure

Lent term. 16 lectures and 4 examples classes.

Aims

The aims of the course are to:

  • Introduce Operations Management to students coming specifically from an engineering background.
  • Give a foundation course for any engineering student who aims to take on an operations focused role at a manufacturing or service firm or go into management consultancy.

Objectives

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

  • Understand the role, objectives and activities of Operations Management
  • Be familiar with the main Operations Management concepts and techniques, which they can apply in practice.

Content

Operations management is the business function concerned with the creation, management and improvement of processes. These processes must be efficient and effective in the delivery of products and services. This module will cover the key tools, techniques and practices required to manage a modern manufacturing and service operation. We will explore the issues faced by operations managers as well as examining how companies can differentiate themselves based on their operations strategy. This module will introduce the key tools and techniques of operations management, and provide experience of process improvement methodologies, such as Lean production and Six Sigma quality across a range of industries. The course will emphasise the importance of being able to observe and analyse an operation, and to recognise operational excellence.

 

Topics covered:

  • Delivering operational efficiency: process design and analysis: 
  • Ensuring operational effectiveness: quality management
  • Delivering improvements: the Six Sigma organisation
  • Delivering improvements: the Lean enterprise
  • Managing a project: implementing improvements
  • Managing resources: facilities, materials, people and technology
  • Creating value across the supply chain
  • Operations strategy: ensuring organisational alignment

 

Further notes

TEACHING METHODS

A mixture of:

  • Interactive lecture sessions
  • In-class exercises
  • Case studies

Coursework

To be announced in lectures.

There is no Full Technical Report (FTR) associated with this module.

 

Booklists

Please refer to the Booklist for Part IIA 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.

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.

D3

Identify and manage cost drivers.

D5

Ensure fitness for purpose for all aspects of the problem including production, operation, maintenance and disposal.

S1

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

S2

Extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately to strategic and tactical issues.

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).

P7

Awareness of quality issues.

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US2

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

 
Last modified: 03/12/2025 10:02

Engineering Tripos Part IIA, 3E6: Organisational Behaviour, 2025-26

Module Leader

Dr C Rook

Lecturer

Dr C Rook

Timing and Structure

Michaelmas term. 8 lectures.

Aims

The aims of the course are to:

  • Provide students with a broad and critical understanding of the key issues and concepts in Organisational Behavior.
  • Stimulate both appreciation and critical consideration of current Organisational Behaviour research.
  • Allow students to reflect on their own experience, extrapolate and develop better people skills.
  • Prepare students for future roles in which they need to work with individuals and groups in organisations.

Objectives

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

  • Understand the central issues in work organizations.
  • Understand how these issues have changed over time.
  • Understand how these link to practical situations.
  • Understand the nature and problems of organizational change.

Content

3E6: Organisational Behaviour is an eight-lecture course delivered in the Michaelmas term. Organisational behaviour (OB) studies the psychology and work-related activities of employees and workgroups in an organisational context. Employees in organisations experience various issues related to the field of OB and should be aware of how these issues affect their working lives. The topics in this course include organisational culture, attitudes, perceptions, motivations, leadership, team dynamics, creativity, innovation, understanding personalities and more.

Students enrolled in this course will become familiar with theories and research in OB and will learn to think critically about the research in OB. I encourage you to think of yourself not as a student but as a “manager in training” to get the most out of this course.

Because your organisational experience may be somewhat limited at this stage, I will do my best to create in-class activities that enable you to apply your learning to the real world. My goal is that you will learn as much as possible about organisational behaviour and will be able to exploit its practical applications.

 

 

1. Introduction to OB

2. Personality

3.  Decision Making

4. Motivation

5. Group Dynamics

6. Leadership

7. Culture

8. Stress and Health in Organisations

Note 1: The topical order of the eight lectures may change. The order is not important at all because each topic is independent of the others.

 

Coursework

You may choose to submit coursework. This may be used to contribute to the coursework part of your portfolio; it does not form part of the assessment for this module. The coursework consists of an essay of maximum 2,000 words (excluding titles, footnotes, figures, references).
Assessment criteria for essays are:

  • clear, accurate and relevant to the question set and supported by appropriate use of a business case;
  • effective organisation and prioritisation of material; usually, on the basis of a theme or argument (a collage of information with no coherent argument should be avoided);
  • clear and logical analyses with theory and a business case used to advance the analysis;
  • knowledge of relevant lecture material and related literature;
  • creativity in discussion and analyses.

You must submit your essay by Monday, 15th December 2025, 5pm via Moodle. Late submissions will be penalized.

The Topic of Course Work (Case Study)

Why should organisations invest in employee mental health and well-being? Critically examine the organisational, ethical, and performance-related reasons for supporting employee mental health, drawing on relevant theories, and build a case for this. In your response, consider:

  • The relationship between mental health, employee engagement, and productivity
  • Organisational culture and leadership’s role in supporting well-being
  • Ethical responsibilities
  • The long-term impact of neglecting employee mental health
  • Relevant Organisational Behaviour theories

 

Booklists

Please refer to the Booklist for Part IIA 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.

 
Last modified: 26/09/2025 16:57

Engineering Tripos Part IIA, 3E3: Modelling Risk, 2025-26

Leader

Dr E Gungor

Lecturer

Dr E Gungor

Lab Leader

Dr E Gungor

Timing and Structure

Lent term. 2 lectures/week. 16 lectures.

Prerequisites

Basic probability theory and statistics and basic knowledge of using Excel of Microsoft.

Aims

The aims of the course are to:

  • Provide an understanding of a range of management science modelling methods involving randomness, such as statistics, decision analysis, behavioral factors, portfolio management, process analysis, queueing theory, forecasting, and regression.
  • For each of the modelling areas, students will become familiar with the types of situations in which the method is useful.

Objectives

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

  • Understand basic concepts of probability and the rationale behind statistical reasoning.
  • Be able to calculate statistical measures like mean and variance, and interpret these in realistic situations.
  • Use confidence intervals to quantify risk.
  • Conduct hypothesis testing.
  • Be able to understand decision trees and how to apply them in decision making.
  • Identify and manage the bottleneck in a serial process, calculate the throughput of the entire system and utilisation at each step.
  • Understand and use simple formulas for queues in which arrivals occur as a Poisson process.
  • Understand the role of behavioral biases in decision making.
  • Forecast data using short range extrapolative techniques such as exponential smoothing.
  • Know how to take account of seasonality when forecasting.
  • Apply regression techniques to estimate the way in which two variables are related.
  • Be able to understand investment strategies for portfolios.
  • Be able to incorporate risk into investment and decision making.

Content

"There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. These are things we don't know we don't know."

- Donald Rumsfeld

 

Note: The content covered across all lectures and example papers will be as listed below. However, elements of the content may be re-sequenced to achieve a better flow. 

Mathematical Analysis of Deterministic and Stochastic Processes (4L)

  • Process Analysis: Identify and manage the bottleneck in a serial process, calculate the throughput of the entire system and utilisation at each step, evaluate the impact of improvements to different steps in a process.
  • Queueing theory: Poisson arrival processes, classification of queueing systems, steady state, performance measures, Little's formula, benefits and limitations of queueing theory.

Regression Analysis and Forecasting (4L)

  • Simple linear regression analysis, least squares estimates, significance of  regression, multiple regression, multi-collinearity.
  • Different methods for forecasting: moving average, exponential smoothing, modelling seasonality and trends.

Inventory Management (2L)

  • Basic concepts in inventory management: inventory management under stochastic demand.

Portfolio Management (2L)

  • Basic portfolio concepts
  • Risk and expected return on a portfolio, and the efficient frontier.

Decision Analysis (4L)

  • Events and decisions, decision trees, expected monetary value, sensitivity analysis, expected value of perfect information, expected value of sample information.
  • Behavioural Factors in Decision Making

Examples papers

In this course, we will have examples classes for all students at the same time, rather than supervisions for small groups.

  • Class 1: Process Analysis and Queuing theory.   
  • Class 2: Regression, forecasting, and inventory management.
  • Class 3: Portfolio and decision analysis.  

Coursework

To be announced in lectures.

There is no Full Technical Report (FTR) associated with this module.

Booklists

Please refer to the Booklist for Part IIA 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.

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.

E3

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

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

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: 04/06/2025 13:19

Engineering Tripos Part IIA, 3E2: Marketing, 2025-26

Module Leader

Dr O Merlo

Lecturer

Omar Merlo

Lab Leader

Dr O Merlo

Timing and Structure

Michaelmas Term. 8 online lectures + 3 Supervisions mixing lectures, case analysis and class discussion.

Aims

The aims of the course are to:

  • Understand fundamental marketing terms, concepts, principles, and theories.
  • Understand the role of marketing and its contribution to customer and financial value.
  • Develop critical thinking and communication skills relating to marketing.
  • Appreciate how to develop and deploy an effective marketing plan.

Objectives

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

  • Display a fundamental understanding of the marketing management process in different environments, contexts and situations enabling students to use marketing approaches to facilitate goal achievement.
  • Have a solid ‘first principles’ foundation, if wishing to pursue a career in business,
  • If pursuing other career paths, have a sufficient understanding of marketing to be able to interact effectively with marketing personnel in cross-functional activities.

Content

Among business disciplines, marketing is the primary contact point between a business and its customers. Business majors and non-business majors will benefit by taking this course because nearly everybody wears a marketing hat during their career. Understanding marketing will help you whether you want to be an accountant, a movie producer, an engineer, a programmer, a doctor, an entrepreneur, or a museum curator. Understanding customer needs and how to marshal the resources of an organisation to meet those needs will enhance your chances of career success.

This course develops a general management viewpoint in planning and evaluating marketing decisions. This course will also help you understand how marketing decisions are affected by organisational and environmental influences and will also enable you to develop your ability to contribute to general management. Accordingly, the course sessions are structured around the following topics:

  • Introduction to Marketing.
  • The strategic marketing planning process
  • Segmentation, targeting and positioning
  • The marketign mix: managing product, price, promotion and distribution
  • Brand management
  • Marketing communications
  • Loyalty and customer relationship management

Marketing

This course examines the key analytical frameworks and tools that are essential to building an effective marketing strategy. We cover concepts including marketing theory and customer centrism; strategic marketing planning; segmentation, targeting and positioning; the marketing mix; brand management; marketing communications and digital marketing; loyalty and customer relationship management.

The goal is that at the end of the course, you’ll be able to apply these concepts as part of a comprehensive and sophisticated marketing strategy.  You should be able to employ these elements across a variety of industries and functions, in ways that create customer value and financial value. That’s the aim of marketing.

Readings

The course readings consist primarily of case studies and a textbook.

Case Studies

The course employs a number of case studies, which should be read prior to coming to lectures and are the basis of discussion. You must read the allocated case for each class.

Books

There is a prescribed textbook in this course:

  • Merlo (2020) Strategic Marketing, Amazon.

Assessment

The final course grade is based on an exam. Students can also write a non-compulsory paper which can count as a lab paper. 

Teaching format

Eight lectures.

Further notes

Examples papers

Coursework

A paper outlining the marketing strategy for a new product or service.

Booklists

Omar Merlo (2020) Strategic Marketing, Amazon.

Case studies: Swatch, Coke, Pets.com. Cabo San Viejo

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.

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.

D2

Understand customer and user needs and the importance of considerations such as aesthetics.

D3

Identify and manage cost drivers.

D5

Ensure fitness for purpose for all aspects of the problem including production, operation, maintenance and disposal.

S1

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

S2

Extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately to strategic and tactical issues.

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.

 
Last modified: 04/06/2025 13:19

Engineering Tripos Part IIA, 3E1: Business Economics, 2025-26

Module Leader

Dr J Kozak Rogo

Lecturer

Dr J Kozak Rogo

Lab Leader

Dr J Kozak Rogo

Timing and Structure

Lent term. 16 lectures and coursework.

Aims

The aims of the course are to:

  • Introduce students to the use of economics to understand the operation and decisions of businesses, their industrial environment and the macroeconomy.

Objectives

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

  • Understand and be able to work with the basic theory of demand and supply and market equilibrium. Apply supply and demand analysis as a qualitative forecasting tool to explain the effects of interventions in competitive markets.
  • Understand how market forces, including but not limited to consumer expectations, rivals actions, and internal cost structures, affect optimal decisions pertaining price and production targets.
  • Understand different forms of market structure, including perfect competition, monopoly and oligopoly.
  • Apply game theory to managerial decision making under strategic settings.
  • Assess and evaluate different pricing strategies based on their effectiveness at achieving stated goals of the firm and their impact on the economy.
  • Understand the sources and consequences of information asymmetry on markets and identify strategies for mitigating the problems.
  • Understand the concepts of market failure, externalities and public goods, and the policies a government might use to deal with them.
  • Situate the firm in relation to the Global Business environment. Understand reasons for international trade, exchange rates, international trade policies, multinational enterprises and outsourcing
  • Characterize the basic macroeconomic environment relevant to firms.
  • Understand the main determinants of the different components of aggregate demand.
  • Understand the possible impacts of monetary and fiscal policy for firms.

Content

Course Outline

  • Demand, Supply and Elasticity
  • Demand Estimation and Consumer Choice
  • Firm's Production Process, Technology and Costs
  • Market Structure and Simple Pricing Strategies
  • Strategic Pricing
  • Oligopoly, Game Theory and Business Strategy
  • Information, Government and Business
  • Global Business and Macroeconomics

                                                       

Coursework

Coursework details:

2000 word count essay.

 

 

Booklists

Course textbook:

Perloff, Jeffrey M. and Brander, James A. Managerial Economics and Strategy. Second edition: Global edition. Harlow: Pearson, [2019].

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.

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.

US1

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

 
Last modified: 04/06/2025 13:19

Engineering Tripos Part IIA, 3D7: Finite Element Methods, 2025-26

Module Leader

Prof D Liang

Lecturers

Prof D Liang, Dr B Liu

Lab Leader

Prof D Liang

Timing and Structure

Lent term. 16 lectures and coursework.

Aims

The aims of the course are to:

  • Provide an introduction to the finite-element (FE) method, which is widely used to obtain numerical solutions to engineering problems.
  • Explain the key ideas of the FE approach, cover its theoretical foundations, and present some illustrative applications.

Objectives

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

  • Develop the weak form of the governing equation for various problems.
  • Explain the difference between strong and weak formulations.
  • Compute shape functions in one, two and three dimensions for different elements.
  • Obtain the stiffness and mass matrices and the right-hand side vector for different elements.
  • Explain the idea and motivation behind isoparametric formulations.
  • Apply numerical integration on different finite elements.
  • Assemble the stiffness and mass matrices for a mesh.
  • Explain how to apply various loadings and boundary conditions.
  • Generate suitable meshes for different problems.
  • Set up a finite element mesh, apply appropriate boundary conditions and solve the resulting system in a finite element program.
  • Appreciate sources of errors associated with finite element analysis.
  • Explain key features of different methods for time-dependent problems.

Content

Introduction to finite element analysis (1L Dr B Liu)

  • Overview and key ideas
  • Modelling and applicability

Elastic rods and beams (3L Dr B Liu)

  • Strong and weak equations of static rods
  • Linear shape functions in one dimension
  • Assembly and application of boundary conditions
  • Construction of higher-order shape functions
  • Euler beams and Hermitian shape functions

Heat conduction and elasticity in two and three dimensions (8L Prof F Cirak)

  • Strong and weak formulations for heat conduction
  • Shape functions for two and three dimensional elements
  • Isoparametric mapping and numerical integration
  • Application of boundary conditions
  • Assembly of element matrices and vectors
  • Stability considerations
  • Generalisation to elasticity
  • Aspects of solid modelling and meshing

Modelling issues (2L Dr B Liu)

  • Model analysis and critical time step
  • Error estimates and convergence of finite element method

Time dependent problems (2L Dr B Liu)

  • Strong and Weak formulation for time-dependent problems
  • Consistent and lumped mass matrix
  • Explicit and Implicit time integration

Coursework

Use of a finite-element package to solve a stress-analysis problem related to the experiment performed in Module 3C7.

Computational Stress Analysis

Learning objectives

  • Quantify the choice of elements on the obtained results.
  • Identify the importance of the choice of boundary conditions.
  • Compare finite element results with experimental and analytical results.
  • Explore the influence of mesh refinement on computed results.

Practical information:

  • The coursework can be completed remotely. Support session will he held online.
  • This activity involves the installation/configuration of software. Instructions will be provided.
  • 3C7 experimental data can be obtained from the Lab Leader.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA 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.

 
Last modified: 04/06/2025 13:18

Engineering Tripos Part IIA, 3D5: Hydraulics, 2025-26

Module Leader

Prof D Liang

Lecturer

Dr E Borgomeo

Lecturer

Prof Madabhushi

Lecturer

Prof D Liang

Lab Leader

Prof D Liang

Timing and Structure

Michaelmas term. 16 lectures and coursework.

Aims

The aims of the course are to:

  • Explain some fundamental principles necessary for understanding the common water issues in the world.
  • Introduce the basic topics in water resources, open channel flows and groundwater flows.
  • Allow students to grasp essential concepts and procedures for analysing hydro-environmental processes and develop skills to solve practical water engineering problems.
  • Highlight some of the most pressing water-related global challenges, such as freshwater scarcity, soil erosion, water quality deterioration and flooding, and stress the need for sustainable and integrated management of water resources.

Objectives

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

  • Comprehend the scope of water-related topics in civil and environmental engineering
  • Appreciate the environmental, social, political and economic implications of water engineering and hydraulic engineering projects
  • Understand the hydrologic cycle and the water budget
  • Promote nature-based and nature-friendly solutions to water-related problems
  • Understand the soil properties and simple models of ground infiltration
  • Determine the steady seepage patterns in the porous media
  • Evaluate potentials, pore water pressures, and flow quantities in the ground by constructing flow nets
  • Calculate the seepage below concrete dams and through embankment & earth dams
  • Analyse topics on excavations and seepage, cofferdams and stability
  • Draw parallels between groundwater flow and heat flow in porous media
  • Understand river hydraulics
  • Solve steady flows using the equations of mass, energy and momentum conservations

Content

Hydrology and Water Resources (3L) 2 lectures/week, weeks 1-2 (Dr Borgomeo)

  • Global water issues
  • Hydrologic cycle
  • Water resources

Groundwater, Seepage and Heat Flow in Granular media (8L), 2 lectures/week, weeks 2-6 (Prof SPG Madabhushi)

  • Concept of porous media and bulk properties.
  • Definitions of potential head, pressure head and pore pressure.
  • Groundwater flow and seepage
  • Theory of flow nets
  • Anisotropic soils and flow nets
  • Darcy's law and Hydraulic conductivity
  • Laboratory and in situ measurements
  • Seepage below concrete dams
  • Seepage through embankments and earth dams
  • Stability and seepage around excavations
  • Coffer dams and their stability
  • Fourier’s law and heat flow in porous media
  • Parallels between ground water flow and heat flow
  • Ground source heat pumps
  • Storage and extraction of heat from ground

 

Open Channel Flows (5L) 2 lectures/week, weeks 6-8 (Prof D. Liang)

  • Boundary layer and turbulence
  • Flow resistance
  • Steady flow in open channels
  • Backwater curves
  • Water surface profiles in non-uniform flows 

Coursework

        Labs on underground water and heat flow will take place in Inglis Building Structures Lab, which can be accessed through the big double doors on the Peterhouse roadway or through the corner of the Hydraulics Lab. Sign-up page (http://to.eng.cam.ac.uk/teaching/apps/cuedle/index.php?context=3D5) is activated at the start of Michaelmas. Lab reports should be submitted on the 3D5 Moodle page within 15 days after the experiment. 

Learning objectives

  • Axi-Symmetric flow of ground water into a well boring
  • Axi-Symmetric heat flow in saturated soil

Practical information:

  • The Structures Lab is adjacent to the Robotics Lab.
  • This activity doesn't involve preliminary work, but it will be beneficial to read the handouts beforehand. 

Full Technical Report:

        Students will have the option to submit a Full Technical Report. FTRs can be based on the 3D5 Lab or be an essay on any water engineering issues. FTRs should be submitted on the 3D5 Moodle page. More information on the possible FTR topics will be given in the first lecture.

Booklists

Please refer to the Booklist for Part IIA 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.

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.

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.

E3

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

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.

 
Last modified: 07/10/2025 02:46

Engineering Tripos Part IIA, 3D4: Structural Analysis & Stability, 2025-26

Module Leader

Prof S Guest

Lecturers

Prof S Guest, Prof K Seffen

Lab Leader

Prof K Seffen

Timing and Structure

Lent term. 16 lectures.

Aims

The aims of the course are to:

  • Provide students with an understanding of elastic methods of structural analysis.
  • Ensure students recognise that stability and failure of structures by buckling is a key part of understanding structural behaviour.

Objectives

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

  • Understand and compute the biaxial bending stress distribution in asymmetric sections.
  • Calculate the section properties of complex sections with different techniques.
  • Determine the shear stress distribution and shear centre in asymmetric sections.
  • Understand and determine the torsional stresses in thin-walled open cross-sections.
  • Analyse statically determinate and indeterminate space frames.
  • Understand the application of virtual work principles.
  • Explain the reciprocal theorem and the importance of influence lines.
  • Understand and apply the displacement method.
  • Recognise the shortcomings of the structural analysis learnt in Part I and appreciate the need to include stability in a complete theory of structures.
  • Draw stable and unstable paths on a load/displacement diagram for bifurcation and snap through.
  • Understand how elastic stability may be determined from the total potential energy and described by the eigenvalues of the stiffness matrix.
  • Determine elastic critical loads for simple structures by eigenvalue analysis, whilst appreciating the importance of imperfection sensitivity.
  • Apply approximation methods based on energy to determine the stability of simple systems.
  • Understand second-order beam theory, using s and c functions.
  • Understand how the tangent modulus and double modulus theories of inelastic buckling led to the column paradox, and how this was resolved.
  • Understand the importance of lateral-torsional buckling of beams.

Content

There are two themes in this module: elastic analysis & stability and buckling of structures. Each section leads on from and extends a corresponding section of the first or second year courses in Structures.

In the first, the course aims are to extend the elastic analysis of beams to cover asymmetric sections in bending, to revise the determination of shear stresses, to consider the torsion of thin-walled open sections and to introduce the concept of shear centre. After that, the course will introduce the analysis of beams via differential equations and the reciprocal theorem,  which will lead to the study of influence lines. The course will also cover the displacement method of structural analysis and some new applications of virtual work and curved beams.

In the second, the course aims are to understand the fundamental principles of structural stability, to become familiar with common types of bifurcation and buckling phenomena and to formulate methods capable of dealing with geometrically non-linear structural behaviour. Once the general concept of stiffness degradation and the various post-buckling possibilities are understood, the course addresses the specific problem of column and beam design, taking account of initial imperfections, coexistent end-moments, residual stresses and material inelasticity.

Elastic Theory (8L) (Prof Simon Guest)

  • Asymmetric beams; principal axes
  • Bending and shear stress distribution in asymmetric sections
  • Torsion and warping of thin-walled open sections
  • Analysis of space frames
  • Virtual work
  • Reciprocal theorem and influence lines
  • Displacement method

Stability and Buckling (8L) (Prof Keith Seffen)

  • Fundamentals of buckling and stability: total potential energy approach and direct equilibrium approach
  • Classification of instabilities into snap-through tpe and bifurcation type
  • Eigenvalues and eigenvectors of stiffness matrix
  • Buckling of elastic structures; approximate estimates of buckling load; Rayleigh quotient
  • Lateral buckling of columns: Euler strut, imperfections, Southwell plot, beam-columns, stability coefficients, buckling of frames
  • Elasto-plastic buckling: tangent-modulus, double-modulus, Shanley's analysis
  • Design of columns
  • Lateral-torsional buckling of beams

Coursework

Buckling Elastic and Inelastic

Learning objectives

  • Understand the difference between stable and unstable buckling.
  • Appreciate the circumstances in which a "classical" buckling calculation gives a useful estimate of the buckling strength of a structure, and those in which it does not.
  • Be able to cite examples of structures for which the buckling load is both significantly less than the prediction of "classical" theory, and the postbuckling behaviour is highly unstable.
  • Be aware of the "classical" buckling formulae for bars (including the "tangent-modulus" formula), simple plates and cylindrical shells.

Practical information:

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA 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.

 
Last modified: 18/12/2025 15:07

Engineering Tripos Part IIA, 3D2: Geotechnical Engineering II, 2025-26

Leader

Dr J Hambleton

Lecturers

Dr J Hambleton, Dr S Stanier

Lab Leader

Dr S Stanier

Timing and Structure

Lent term, 16 lectures.

Prerequisites

3D1

Objectives

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

  • Analyse stress and strain in three dimensional conditions and define pore pressure parameters
  • Understand the applications of elasto-plastic models with isotropic volumetric hardening to the behaviour of soils
  • Use the Cam Clay model to predict changes of stress and volume in simple shear and triaxial tests
  • Predict the onset of yield, failure and ultimate critical states of soil elements subject to any stress path
  • Recognise the origins of the undrained strength of clay, and estimate excess pore pressures induced by shearing
  • Recognise the origins of the super-critical strength of dense sand and overconsolidated clay in terms of interlocking and dilatancy
  • Assess the influence of effective stress history on lateral earth pressure
  • Assess the stability of slopes
  • Recognise the potential sources of brittle failure in dilatant sands and overconsolidated clay
  • Diagnose the delayed failure of overconsolidated clay slopes, and suggest counter-measures
  • Diagnose quick clay flowslides, and suggest counter-measures
  • Compute active and passive earth pressure with different theories
  • Understand the effects of water on the stability of earth retaining structures
  • Recognise the main types of retaining structures and construction methods
  • Design basic retining structures

Content

Whereas module 3D1 was concerned chiefly with the limiting equilibrium of plastic soil bodies and soil consolidation, 3D2 aims to address modelling of the mechanical behaviour of soils and geotechnical structures. Soils are an order of magnitude more compliant than steel or concrete, so designers have to limit the mobilisation of soil strength to keep ground strains small enough to guarantee the serviceability of adjacent structures. Furthermore, some soils are inherently brittle, and their strength can deteriorate if they are permitted to strain excessively; this can lead to unexpected catastrophic failures. In geotechnical engineering, therefore, strains are often more important than stresses.

The Cam Clay model of soil behaviour is introduced to link concepts of consolidation and shearing, to envision drained and undrained soil behaviour within a single conceptual framework, to distinguish between yielding and failure, and to contrast stress paths that lead to brittle softening with those that lead to stable hardening. These comparisons and contrasts are central to the correct characterisation of soils for geotechnical decision-making. They are the subject of the first example paper.

The module continues with the assessment of the stability of natural slopes and cuts, the characterisation of in-situ stress states as a function of the previous stress history of the site, and considers the stress paths which they will follow as a result of construction. Particular materials, stress paths, and changes in environmental conditions can lead to catastrophic failures. The key to avoiding such failures is either to improve the ductility and continuity of materials and structures, or to take the utmost care in controlling soil strains in service. This material is the subject of the second example paper.

The final part of the course addresses the fundamentals of earth pressures and earth retaining structures. This will start from a review of the main tools available for the calculation of earth pressure, including upper bound, lower bound and limit equilibrium methods, followed by consideration of the main retaining structures types and construction methods (gravity, embedded, composite walls and other support systems).  Finally the course will address the basic design of simple retaining structures.

Topic 1: Basics - Soil Stress-strain, 3D Stresses & strains and their invariants, pore pressure parameters

Modelling in geortechnical engineering (Lecture 1) 

Modelling forms an implicit part of all engineering design but many engineers are not aware either of the fact that they are making assumptions as part of the modelling or of the nature and consequences of those assumptions. The lecture is an introduction to the course iproviding an overview of the evolution of modelling and the shift of modelling paradigms in science and engineering and in soil mechanics.

Stress/strain invariants (Lecture 2)

3D stresses and strains, Lode's coordinates, strain and strain invariants, work conjugates, pore pressure parameters, stress paths.

Topic 2: Strain hardening elastoplasticity

1D elasto-plasticity (Lecture 3)

Additive decomposition of strain, elasticity, admissible stress, yield criterion, elastic range, flow rule. Kuhn Tucker condition, consistency condition, plastic multiplier. Isotropic and kinematic hardening. Elasto-plastic stiffness.

Linear elasticity and Mohr Coulomb strength criterion (Lecture 4)

Isotropic linear elasticity. Mohr Coulomb Yield criterion with associative flow rule. predicted behaviour for drained and undrained triaxial compression and triaxial extension. Limitations and possible ways to overcome them.

Plane strain stress paths (Lecture 5)

Stress paths in the ground arising from a variety of construction processes, and relating to a range of representative locations. Use of vertical and horizontal equilibrium equations to estimate total stress paths due to simplified cases of vertical loading or horizontal unloading. Correlation with effective stress paths dictated either by undrained or drained soil conditions. Predicting the approach of soil states to limiting strength envelopes.

Topic 3: Cam-Clay

Shearing of soils: work and dissipation, yield surface and normality (Lecture 6)

Taylor’s work equation. Yield surface in effective stress space. Normality principle guarantees maximum dissipation, providing a plastic flow rule. Derivation of the Cam Clay yield surface. Compressibility and volumetric hardening.

Critical states, normal compression, and yield  (Lecture 7)

Stress dilatancy and critical state. Radial compression lines, critical state line. 3D state surface of shear stress, effective normal stress and specific volume. Drained and undrained shearing of soil at a given density, from points of normal consolidation and overconsolidation

Undrained shear strength,  predicting behaviour of geotechnical structures using using Cam-clay model (Lecture 8)

Undrained shear strength. Predicting behaviour of smooth retaining wall and embankment  on soflt clay. Staged loading. Development of stress-strain relationship of Cam clay model. Application of numerical programs for modern geotechnical analysis.

Topic 4: Slope stability - avoiding catstrophic failure

Slope stability analysis (Lectures 9 and 10)

Occurrence of slope failure in the UK and worldwide. Examples. Modes of movement: falls, topples, slides, and flows. Analysis methods to assess the stability of slopes in sands and clays. Infinite slope, effect of groundwater flow. Finite slope undrained. General Limit equilibrium methods. 

Avoiding catastrophic failure on the dry side (Lecture 11)

Selection of mechanical parameters for the design of engineered slopes. Factors promoting failure on the dry side: brittle failure for dilatant sand and overconsolidated clay. Need to design for critical state friction and worst pore water pressures. 

Delayed failure in clay slopes and catastrophic failure on the wet side (Lecture 12)

Delayed failure in clay slopes due to progressive softening on cycles of wetting/drying.  Factors promoting brittle failure on the dry side: quick clay flowslides, volumetric collapse on saturation for partly saturated slopes. 

Topic 5. Geotechnical Investigation

Geotechnical Site Investigation (Lecture 13)

Requirements of geotechnical site investigation. Objectives, extent, frequency and layout of investigations for the geotechnical characterisation of a site. 

In-situ testing (Lecture 14)

Procedures and interpretation of Standard Penetration Test (SPT), Cone Penetration Test (CPT), Field Vane, and pressuremeter tests

Topic 6: Elasto-plastic radial solutions

Cavity Expansion (Lecture 15)

Cavity expansion in elastic perfectly plastic medium. Application to the interpretation of pressuremeter test. Estimation of soil properties from pressuremeter tests in clay: in-situ total horizontal stress, shear modulus, undrained shear strength.

Cavity Contraction (Lecture 16)

Cavity contraction in elastic perfectly plastic medium. Applications to bored tunnelling. Estimation of support pressure required for tunnel stability. Tunnel convergence and settlements above tunnels.

Examples papers

There will be three examples papers directly related to the lecture course, given out in weeks 4, 5 and 7.

  1. The Cam Clay model.
  2. In situ state, stress paths, slopes.
  3. Radial solutions

Coursework

One laboratory exercise on Consolidation and shear testing of clay.

Learning objectives:

  • measure the one-dimensional stiffness of the clay over different stress ranges and overconsolidation ratios;
  • measure the coefficient of consolidation of the clay and deduced its permeability;
  • select suitable values of the one-dimensional compressibility parameters;
  • measurre the ultimate drained shear strength of the clay under various conditions.

Practical information:

  • Sessions will take place in the Structures Teaching Laboratory, every Wednesday and Friday afternoon during the month of February
  • This activity does not involve preliminary work.

Full Technical Report (optional):

Design of an artificial island

The soil parameters measured in the laboratory will be used to evaluate three outline design schemes for an artificial island constructed on clay.

For each scheme, the students will be asked to estimate:

  • the consolidation settlement,
  • the required time to complete construction
  • the caisson’s foundation sliding strength

Booklists

Please refer to the Booklist for Part IIA 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.

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.

E3

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

P1

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

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: 04/06/2025 13:18

Pages

Subscribe to 2025-26