Undergraduate Teaching 2025-26

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

Engineering Tripos Part IIB, 4B23: Optical Fibre Communication, 2024-25

Module Leader

Prof S J Savory

Lecturer

Prof S J Savory

Timing and Structure

Lent term. 75% exam / 25% coursework

Prerequisites

Data transmission (3F4) and Photonic technology (3B6) are useful but not essential as it is not assumed students will have taken these modules.

Aims

The aims of the course are to:

  • Provide an overview of the key technologies that underpin modern optical fibre communication systems including the appropriate theory and practice
  • Provide a system level perspective to allow progression from devices and subsystems through to systems and networks
  • Expose students to the state of the art both within industry and academia as systems move towards 1 Tbit/s per wavelength

Objectives

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

  • Explain the salient features of a modern optical fibre communication system employing digital coherent transceivers
  • Understand the limitations imposed by both noise and nonlinear properties of the optical fibre
  • Be able to analyse performance metrics such as signal to noise ratio and bit error rate for an optical fibre communication link
  • Understand the principles of coherent detection and the associated photonic subsystems
  • Understand the role of digital signal processing and forward error correction in modern communication systems
  • Be able to design an optical fibre communication network given appropriate constraints

Content

Optical fibre communication systems underpin modern communication systems, from the high capacity submarine cables that link continents to the interconnected mobile basestations used in wireless communications. The module will cover the theory and practice of modern optical fibre communication systems which currently achieves a capacity of 800 Gbit/s per wavelength. A systems approach is taken, focusing on the fundamental mathematical modelling of devices, subsystems and systems, to allow students to design and analyse future systems rather than merely reflecting latest technological developments. Nonetheless the students will be exposed to the very latest developments in the field, such as the means of transmitting 10 Pbit/s per fibre.

Syllabus

1.    Overview of optical fibre communication: Why use optical fibres for communication? Basic terminology (power in an optical fibre, power units, wavelength and frequency), attenuation in optical fibres, wavelength dependent refractive index (group velocity, chromatic dispersion.

2.    Noise in optical fibre communication systems: shot noise, quantum noise (photon statistics, zero-point energy), thermal noise (for both classical and quantum systems), principles of operation for the EDFA, amplified spontaneous emission (ASE) noise, noise figure and gain saturation in optical amplifiers, noise from lasers (RIN and phase noise).

3.    An optical fibre as a dielectric waveguide: From Maxwell’s equations to the Helmhotz equation, solving the Helmhotz equation in cylindrical coordinates, solving the dispersion equation for the LP modes,  modal cutoff conditions, single mode fibres (single mode criterion, Gaussian approximation for the field and its application)

4.    Propagation of pulses in a single mode optical fibre: Dispersion due to a frequency dependent refractive index, obtaining the basic linear propagation equation and its application, polarisation mode dispersion in a single mode fibre

5.    The nonlinear Schrödinger equation (NLSE): Kerr effect and its impact on transmission systems, soliton as a solution of the simplified NLSE, perturbative solution of the NLSE,  nonlinear interference power spectral density and its application to system design

6.    Waveguide based devices: Directional couplers (coupled mode theory and its solution), coherent receivers using directional couplers including the passive quadrature network, electro-optic materials and their use for modulating light (phase modulator, Mach Zehnder modulator, Cartesian modulators, dual polarisation modulator

7.    Digital coherent transceivers: Advanced modulation formats including dual polarisation QPSK, digital signal processing (frequency domain implementation of FIR filters, adaptive equalisation), synchronisation algorithms, forward error correction (and channel capacity, ultimate limits including quantum limit for an ideal receiver

8.    Introduction to optical network design: Network topology (node degree and impact on resilience), wavelength division multiplexing and the ITU grid, all optical networking and wavelength routing, reconfigurable add drop multiplexers, comparison between core and access optical networks, traffic matrices and network throughput. Overview of design exercise.

Examples papers

Two example papers will be issued with an example class for each example paper.

Coursework

For the coursework there will be a design exercise worth 25%. Since the coursework will assess optical network design, optical network design will not be assessed in the end of year examination.

 

Coursework Format

Due date

& marks

[Optical Network Design]

The coursework exercise is to design an optical network to link the cities of London, Birmingham, Manchester, Leeds and Glasgow. Students are required to write a report detailing their proposed design and expected performance. Within the report three possible topologies should be compared and any assumptions made within the design should be explicitly stated.

The report should be no more than 10 sides of A4 with minimum font size of 11, however detailed calculations regarding design choices such as fibre type, amplifier spacing, launch power etc. may be included in a technical appendix that is not subject to page limits.

Learning objectives:

  • To be able to calculate the throughput of an optical network
  • To understand impact of topology on network throughput
  • To understand the design decisions and trade-offs that occur in network design

Individual Report

anonymously marked

  Wed week 9

[15/60]

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 31/05/2024 10:01

Engineering Tripos Part IIB, 4B23: Optical Fibre Communication, 2023-24

Module Leader

Prof S J Savory

Lecturer

Prof S J Savory

Timing and Structure

Lent term. 75% exam / 25% coursework

Prerequisites

Data transmission (3F4) and Photonic technology (3B6) are useful but not essential as it is not assumed students will have taken these modules.

Aims

The aims of the course are to:

  • Provide an overview of the key technologies that underpin modern optical fibre communication systems including the appropriate theory and practice
  • Provide a system level perspective to allow progression from devices and subsystems through to systems and networks
  • Expose students to the state of the art both within industry and academia as systems move towards 1 Tbit/s per wavelength

Objectives

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

  • Explain the salient features of a modern optical fibre communication system employing digital coherent transceivers
  • Understand the limitations imposed by both noise and nonlinear properties of the optical fibre
  • Be able to analyse performance metrics such as signal to noise ratio and bit error rate for an optical fibre communication link
  • Understand the principles of coherent detection and the associated photonic subsystems
  • Understand the role of digital signal processing and forward error correction in modern communication systems
  • Be able to design an optical fibre communication network given appropriate constraints

Content

Optical fibre communication systems underpin modern communication systems, from the high capacity submarine cables that link continents to the interconnected mobile basestations used in wireless communications. The module will cover the theory and practice of modern optical fibre communication systems which currently achieves a capacity of 800 Gbit/s per wavelength. A systems approach is taken, focusing on the fundamental mathematical modelling of devices, subsystems and systems, to allow students to design and analyse future systems rather than merely reflecting latest technological developments. Nonetheless the students will be exposed to the very latest developments in the field, such as the means of transmitting 10 Pbit/s per fibre.

Syllabus

1.    Overview of optical fibre communication: Why use optical fibres for communication? Basic terminology (power in an optical fibre, power units, wavelength and frequency), attenuation in optical fibres, wavelength dependent refractive index (group velocity, chromatic dispersion.

2.    Noise in optical fibre communication systems: shot noise, quantum noise (photon statistics, zero-point energy), thermal noise (for both classical and quantum systems), principles of operation for the EDFA, amplified spontaneous emission (ASE) noise, noise figure and gain saturation in optical amplifiers, noise from lasers (RIN and phase noise).

3.    An optical fibre as a dielectric waveguide: From Maxwell’s equations to the Helmhotz equation, solving the Helmhotz equation in cylindrical coordinates, solving the dispersion equation for the LP modes,  modal cutoff conditions, single mode fibres (single mode criterion, Gaussian approximation for the field and its application)

4.    Propagation of pulses in a single mode optical fibre: Dispersion due to a frequency dependent refractive index, obtaining the basic linear propagation equation and its application, polarisation mode dispersion in a single mode fibre

5.    The nonlinear Schrödinger equation (NLSE): Kerr effect and its impact on transmission systems, soliton as a solution of the simplified NLSE, perturbative solution of the NLSE,  nonlinear interference power spectral density and its application to system design

6.    Waveguide based devices: Directional couplers (coupled mode theory and its solution), coherent receivers using directional couplers including the passive quadrature network, electro-optic materials and their use for modulating light (phase modulator, Mach Zehnder modulator, Cartesian modulators, dual polarisation modulator

7.    Digital coherent transceivers: Advanced modulation formats including dual polarisation QPSK, digital signal processing (frequency domain implementation of FIR filters, adaptive equalisation), synchronisation algorithms, forward error correction (and channel capacity, ultimate limits including quantum limit for an ideal receiver

8.    Introduction to optical network design: Network topology (node degree and impact on resilience), wavelength division multiplexing and the ITU grid, all optical networking and wavelength routing, reconfigurable add drop multiplexers, comparison between core and access optical networks, traffic matrices and network throughput. Overview of design exercise.

Examples papers

Two example papers will be issued with an example class for each example paper.

Coursework

For the coursework there will be a design exercise worth 25%. Since the coursework will assess optical network design, optical network design will not be assessed in the end of year examination.

 

Coursework Format

Due date

& marks

[Optical Network Design]

The coursework exercise is to design an optical network to link the cities of London, Birmingham, Manchester, Leeds and Glasgow. Students are required to write a report detailing their proposed design and expected performance. Within the report three possible topologies should be compared and any assumptions made within the design should be explicitly stated.

The report should be no more than 10 sides of A4 with minimum font size of 11, however detailed calculations regarding design choices such as fibre type, amplifier spacing, launch power etc. may be included in a technical appendix that is not subject to page limits.

Learning objectives:

  • To be able to calculate the throughput of an optical network
  • To understand impact of topology on network throughput
  • To understand the design decisions and trade-offs that occur in network design

Individual Report

anonymously marked

  Wed week 9

[15/60]

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 30/05/2023 15:26

Engineering Tripos Part IIB, 4B23: Optical Fibre Communication, 2022-23

Module Leader

Prof S J Savory

Lecturer

Prof S J Savory

Timing and Structure

Lent term. 75% exam / 25% coursework

Prerequisites

Data transmission (3F4) and Photonic technology (3B6) are useful but not essential as it is not assumed students will have taken these modules.

Aims

The aims of the course are to:

  • Provide an overview of the key technologies that underpin modern optical fibre communication systems including the appropriate theory and practice
  • Provide a system level perspective to allow progression from devices and subsystems through to systems and networks
  • Expose students to the state of the art both within industry and academia as systems move towards 1 Tbit/s per wavelength

Objectives

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

  • Explain the salient features of a modern optical fibre communication system employing digital coherent transceivers
  • Understand the limitations imposed by both noise and nonlinear properties of the optical fibre
  • Be able to analyse performance metrics such as signal to noise ratio and bit error rate for an optical fibre communication link
  • Understand the principles of coherent detection and the associated photonic subsystems
  • Understand the role of digital signal processing and forward error correction in modern communication systems
  • Be able to design an optical fibre communication network given appropriate constraints

Content

Optical fibre communication systems underpin modern communication systems, from the high capacity submarine cables that link continents to the interconnected mobile basestations used in wireless communications. The module will cover the theory and practice of modern optical fibre communication systems which currently achieves a capacity of 800 Gbit/s per wavelength. A systems approach is taken, focusing on the fundamental mathematical modelling of devices, subsystems and systems, to allow students to design and analyse future systems rather than merely reflecting latest technological developments. Nonetheless the students will be exposed to the very latest developments in the field, such as the means of transmitting 10 Pbit/s per fibre.

Syllabus

1.    Overview of optical fibre communication: Why use optical fibres for communication? Basic terminology (power in an optical fibre, power units, wavelength and frequency), attenuation in optical fibres, wavelength dependent refractive index (group velocity, chromatic dispersion.

2.    Noise in optical fibre communication systems: shot noise, quantum noise (photon statistics, zero-point energy), thermal noise (for both classical and quantum systems), principles of operation for the EDFA, amplified spontaneous emission (ASE) noise, noise figure and gain saturation in optical amplifiers, noise from lasers (RIN and phase noise).

3.    An optical fibre as a dielectric waveguide: From Maxwell’s equations to the Helmhotz equation, solving the Helmhotz equation in cylindrical coordinates, solving the dispersion equation for the LP modes,  modal cutoff conditions, single mode fibres (single mode criterion, Gaussian approximation for the field and its application)

4.    Propagation of pulses in a single mode optical fibre: Dispersion due to a frequency dependent refractive index, obtaining the basic linear propagation equation and its application, polarisation mode dispersion in a single mode fibre

5.    The nonlinear Schrödinger equation (NLSE): Kerr effect and its impact on transmission systems, soliton as a solution of the simplified NLSE, perturbative solution of the NLSE,  nonlinear interference power spectral density and its application to system design

6.    Waveguide based devices: Directional couplers (coupled mode theory and its solution), coherent receivers using directional couplers including the passive quadrature network, electro-optic materials and their use for modulating light (phase modulator, Mach Zehnder modulator, Cartesian modulators, dual polarisation modulator

7.    Digital coherent transceivers: Advanced modulation formats including dual polarisation QPSK, digital signal processing (frequency domain implementation of FIR filters, adaptive equalisation), synchronisation algorithms, forward error correction (and channel capacity, ultimate limits including quantum limit for an ideal receiver

8.    Introduction to optical network design: Network topology (node degree and impact on resilience), wavelength division multiplexing and the ITU grid, all optical networking and wavelength routing, reconfigurable add drop multiplexers, comparison between core and access optical networks, traffic matrices and network throughput. Overview of design exercise.

Examples papers

Two example papers will be issued with an example class for each example paper.

Coursework

For the coursework there will be a design exercise worth 25%. Since the coursework will assess optical network design, optical network design will not be assessed in the end of year examination.

 

Coursework Format

Due date

& marks

[Optical Network Design]

The coursework exercise is to design an optical network to link the cities of London, Birmingham, Manchester, Leeds and Glasgow. Students are required to write a report detailing their proposed design and expected performance. Within the report three possible topologies should be compared and any assumptions made within the design should be explicitly stated.

The report should be no more than 10 sides of A4 with minimum font size of 11, however detailed calculations regarding design choices such as fibre type, amplifier spacing, launch power etc. may be included in a technical appendix that is not subject to page limits.

Learning objectives:

  • To be able to calculate the throughput of an optical network
  • To understand impact of topology on network throughput
  • To understand the design decisions and trade-offs that occur in network design

Individual Report

anonymously marked

  Wed week 9

[15/60]

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 24/01/2023 07:08

Engineering Tripos Part IIB, 4B23: Optical Fibre Communication, 2020-21

Module Leader

Prof S J Savory

Lecturer

Prof S J Savory

Timing and Structure

Lent term. 75% exam / 25% coursework

Prerequisites

Data transmission (3F4) and Photonic technology (3B6) are useful but not essential as it is not assumed students will have taken these modules.

Aims

The aims of the course are to:

  • Provide an overview of the key technologies that underpin modern optical fibre communication systems including the appropriate theory and practice
  • Provide a system level perspective to allow progression from devices and subsystems through to systems and networks
  • Expose students to the state of the art both within industry and academia as systems move towards 1 Tbit/s per wavelength

Objectives

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

  • Explain the salient features of a modern optical fibre communication system employing digital coherent transceivers
  • Understand the limitations imposed by both noise and nonlinear properties of the optical fibre
  • Be able to analyse performance metrics such as signal to noise ratio and bit error rate for an optical fibre communication link
  • Understand the principles of coherent detection and the associated photonic subsystems
  • Understand the role of digital signal processing and forward error correction in modern communication systems
  • Be able to design an optical fibre communication network given appropriate constraints

Content

Optical fibre communication systems underpin modern communication systems, from the high capacity submarine cables that link continents to the interconnected mobile basestations used in wireless communications. The module will cover the theory and practice of modern optical fibre communication systems which currently achieves a capacity of 800 Gbit/s per wavelength. A systems approach is taken, focusing on the fundamental mathematical modelling of devices, subsystems and systems, to allow students to design and analyse future systems rather than merely reflecting latest technological developments. Nonetheless the students will be exposed to the very latest developments in the field, such as the means of transmitting 10 Pbit/s per fibre.

Syllabus

1.    Overview of optical fibre communication: Why use optical fibres for communication? Basic terminology (power in an optical fibre, power units, wavelength and frequency), attenuation in optical fibres, wavelength dependent refractive index (group velocity, chromatic dispersion, simplified view of waveguides (from rays to modes).

2.    An optical fibre as a dielectric waveguide: From Maxwell’s equations to the Helmhotz equation, solving the Helmhotz equation in cylindrical coordinates, solving the dispersion equation for the LP modes,  modal cutoff conditions, single mode fibres (single mode criterion, Gaussian approximation for the field and its application)

3.    Waveguide based devices: Directional couplers (coupled mode theory and its solution), coherent receivers using directional couplers including the passive quadrature network, electro-optic materials and their use for modulating light (phase modulator, Mach Zehnder modulator, Cartesian modulators, dual polarisation modulator

4.    Propagation of pulses in a single mode optical fibre: Dispersion due to a frequency dependent refractive index, obtaining the basic linear propagation equation and its application, polarisation mode dispersion in a single mode fibre

5.    The nonlinear Schrödinger equation (NLSE): Kerr effect and its impact on transmission systems, soliton as a solution of the simplified NLSE, perturbative solution of the NLSE,  nonlinear interference power spectral density and its application to system design

6.    Noise in optical fibre communication systems: shot noise, quantum noise (photon statistics, zero-point energy), thermal noise (for both classical and quantum systems), principles of operation for the EDFA, amplified spontaneous emission (ASE) noise (Heisenberg’s uncertainty principle and the minimum noise power from an optical amplifier), noise figure and gain saturation in optical amplifiers, noise from lasers (RIN and phase noise).

7.    Digital coherent transceivers: Advanced modulation formats including dual polarisation QPSK, digital signal processing (frequency domain implementation of FIR filters, adaptive equalisation), synchronisation algorithms, forward error correction (and channel capacity, ultimate limits including quantum limit for an ideal receiver

8.    Introduction to optical network design: Network topology (node degree and impact on resilience), wavelength division multiplexing and the ITU grid, all optical networking and wavelength routing, reconfigurable add drop multiplexers, comparison between core and access optical networks, traffic matrices and network throughput. Overview of design exercise.

Examples papers

Two example papers will be issued with an example class for each example paper.

Coursework

For the coursework there will be a design exercise worth 25%. Since the coursework will assess optical network design, optical network design will not be assessed in the end of year examination.

 

Coursework Format

Due date

& marks

[Optical Network Design]

The coursework exercise is to design an optical network to link the Univeristies of Cambridge, London, Southampton, Liverpool and Durham. Students are required to write a report detailing their proposed design and expected performance. Within the report three possible topologies should be compared and any assumptions made within the design should be explicitly stated.

The report should be no more than 10 sides of A4 with minimum font size of 11, however detailed calculations regarding design choices such as fibre type, amplifier spacing, launch power etc. may be included in a technical appendix that is not subject to page limits.

Learning objectives:

  • To be able to calculate the throughput of an optical network
  • To understand impact of topology on network throughput
  • To understand the design decisions and trade-offs that occur in network design

Individual Report

anonymously marked

  Wed week 9

[15/60]

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 02/06/2020 22:50

Engineering Tripos Part IIB, 4B23: Optical Fibre Communication, 2019-20

Module Leader

Prof S J Savory

Lecturer

Prof S J Savory

Timing and Structure

Lent term. 75% exam / 25% coursework

Prerequisites

Data transmission (3F4) and Photonic technology (3B6) useful

Aims

The aims of the course are to:

  • Provide an overview of the key technologies that underpin modern optical fibre communication systems including the appropriate theory and practice
  • Provide a system level perspective to allow progression from devices and subsystems through to systems and networks
  • Expose students to the state of the art both within industry and academia as systems move towards 1 Tbit/s per wavelength

Objectives

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

  • Explain the salient features of a modern optical fibre communication system employing digital coherent transceivers
  • Understand the limitations imposed by both noise and nonlinear properties of the optical fibre
  • Be able to analyse performance metrics such as signal to noise ratio and bit error rate for an optical fibre communication link
  • Understand the principles of coherent detection and the associated photonic subsystems
  • Understand the role of digital signal processing and forward error correction in modern communication systems
  • Be able to design an optical fibre communication network given appropriate constraints

Content

Optical fibre communication systems underpin modern communication systems, from the high capacity submarine cables that link continents to the interconnected mobile basestations used in wireless communications. The module will cover the theory and practice of modern optical fibre communication systems which currently achieves a capacity of 400 Gbit/s per wavelength. A systems approach is taken, focusing on the fundamental mathematical modelling of devices, subsystems and systems, to allow students to design and analyse future systems rather than merely reflecting latest technological developments. Nonetheless the students will be exposed to the very latest developments in the field, such as the means of transmitting 10 Pbit/s per fibre.

Syllabus

1.    Overview of optical fibre communication: Why use optical fibres for communication? Basic terminology (power in an optical fibre, power units, wavelength and frequency), attenuation in optical fibres, wavelength dependent refractive index (group velocity, chromatic dispersion, simplified view of waveguides (from rays to modes).

2.    An optical fibre as a dielectric waveguide: From Maxwell’s equations to the Helmhotz equation, solving the Helmhotz equation in cylindrical coordinates, solving the dispersion equation for the LP modes,  modal cutoff conditions, single mode fibres (single mode criterion, Gaussian approximation for the field and its application)

3.    Waveguide based devices: Directional couplers (coupled mode theory and its solution), coherent receivers using directional couplers including the passive quadrature network, electro-optic materials and their use for modulating light (phase modulator, Mach Zehnder modulator, Cartesian modulators, dual polarisation modulator

4.    Propagation of pulses in a single mode optical fibre: Dispersion due to a frequency dependent refractive index, obtaining the basic linear propagation equation and its application, polarisation mode dispersion in a single mode fibre

5.    The nonlinear Schrödinger equation (NLSE): Kerr effect and its impact on transmission systems, soliton as a solution of the simplified NLSE, perturbative solution of the NLSE,  nonlinear interference power spectral density and its application to system design

6.    Noise in optical fibre communication systems: shot noise, quantum noise (photon statistics, zero-point energy), thermal noise (for both classical and quantum systems), principles of operation for the EDFA, amplified spontaneous emission (ASE) noise (Heisenberg’s uncertainty principle and the minimum noise power from an optical amplifier), noise figure and gain saturation in optical amplifiers, noise from lasers (RIN and phase noise).

7.    Digital coherent transceivers: Advanced modulation formats including dual polarisation QPSK, digital signal processing (frequency domain implementation of FIR filters, adaptive equalisation), synchronisation algorithms, forward error correction (and channel capacity, ultimate limits including quantum limit for an ideal receiver

8.    Introduction to optical network design: Network topology (node degree and impact on resilience), wavelength division multiplexing and the ITU grid, all optical networking and wavelength routing, reconfigurable add drop multiplexers, comparison between core and access optical networks, traffic matrices and network throughput. Overview of design exercise.

9.    Industry guest lecture: Provided to enable students to understand the industrial context for the topics covered within the module.

Examples papers

Two example papers will be issued with an example class for each example paper.

Coursework

For the coursework there will be a design exercise worth 25%. Since the coursework will assess optical network design, optical network design will not be assessed in the end of year examination.

 

Coursework Format

Due date

& marks

[Optical Network Design]

The coursework exercise is to design an optical network to link the Univeristies of Cambridge, London, Bristol, Liverpool and Durham. Students are required to write a report detailing their proposed design and expected performance. Within the report three possible topologies should be compared and any assumptions made within the design should be explicitly stated.

The report should be no more than 10 sides of A4 with minimum font size of 11, however detailed calculations regarding design choices such as fibre type, amplifier spacing, launch power etc. may be included in a technical appendix that is not subject to page limits.

Learning objectives:

  • To be able to calculate the throughput of an optical network
  • To understand impact of topology on network throughput
  • To understand the design decisions and trade-offs that occur in network design

Individual Report

anonymously marked

  Wed week 9

[15/60]

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 13/08/2019 10:35

[node:field-syllabus-course-year:parent:name], Engineering Tripos Part IIA, 2017-18

Module Leader

Dr J A Howard-Grenville

Lecturer

Dr J A Howard-Grenville

Lab Leader

Dr J A Howard-Grenville

Timing and Structure

Michaelmas term

Aims

The aims of the course are to:

  • Identify the practical challenges and opportunities facing businesses in terms of integrating sustainability into their operations and value chains.
  • Critically examine the conceptual tools and best practices used to prioritize and deliver on improved environmental sustainability outcomes.
  • Recognize that business sustainability requires systematic analysis coupled with prioritization of (sometimes incommensurable) aspects of the issues.

Objectives

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

  • Apply systems thinking, lifecycle assessment, and other frameworks to business sustainability problems.
  • Be able to be critical consumers of sustainability metrics, reporting and information in their business and personal lives.

Content

In this course, we will explore the challenges and opportunities presented for businesses attempting to integrate more environmentally sustainable practices. Much of the work done today in service of sustainability simply (though admirably) amounts to doing “less bad,” by, for example, reducing employee commuting, minimizing waste, or curbing carbon emissions. But sustainability demands fundamental realignment of business practices and system-wide innovation to radically reduce the ecological footprint of business to within planetary boundaries. Approaches and tools for managing environmental sustainability include those that help us think systematically about impacts, draw meaningful comparisons, and assess opportunities for change within a business’ own operations, its supply chain, and with partners. After taking this course, you will be able to help organizations integrate environmental sustainability into their operations and help them develop the more sustainable business processes and services of the future.  

Overview of Course Sessions

Grasping the Extent and Nature of the Problem

Sustainability as a System Condition  

Guest Lecturer on Business Sustainability

Can Commerce Mimic Nature? Circular Economy and Industrial Symbiosis

Industrial Symbiosis Case Analysis

Life Cycle Assessment

Driving Sustainability Efforts through Business Strategy

How Much is Enough? Supply Chain Sustainability and Accountability 

 

3E11: ENVIRONMENTAL SUSTAINABILITY and BUSINESS

 

Dr Jennifer Howard-Grenville

Judge Business School

University of Cambridge

Office Judge Business School KH110

E-Mail: j.howard-grenville@jbs.cam.ac.uk

 

 

 

Course Content

 

In this course, we will explore the challenges and opportunities presented for businesses attempting to integrate more environmentally sustainable practices. Much of the work done today in service of sustainability simply (though admirably) amounts to doing “less bad,” by, for example, reducing employee commuting, minimizing waste, or curbing carbon emissions. But sustainability demands fundamental realignment of business practices and system-wide innovation to radically reduce the ecological footprint of business to within planetary boundaries. Approaches and tools for managing environmental sustainability include those that help us think systematically about impacts, draw meaningful comparisons, and assess opportunities for change within a business’ own operations, its supply chain, and with partners. After taking this course, you will be able to help organizations integrate environmental sustainability into their operations and help them develop the more sustainable business processes and services of the future. 

 

Course Aims

 

Students will gain an understanding of the following key areas:

§  Identify the practical challenges and opportunities facing businesses in terms of integrating sustainability into their operations and value chains.

§  Critically examine the conceptual tools and best practices used to prioritize and deliver on improved environmental sustainability outcomes.

The skills gained in this course include fostering the ability to:

§  Apply lifecycle assessment and systems thinking to business sustainability problems.

§  Become critical consumers of sustainability metrics, reporting and information in their business and personal lives.

 

 

Requirements

 

In order to maximally benefit from this course it is imperative that you come prepared for each lecture by preparing the relevant readings and case studies as indicated in this document. You will be expected to not only attend all lectures, but also actively participate in class discussions. When you actively participate, everyone benefits from a more positive learning environment and the class becomes more interesting and fun. You should also attend and prepare for supervisions. Each supervision is an essential element of the course.

Assessment

Your grade will be determined by exam only. The exam will last for 1 ½ hours. There will be 3 questions of which 2 must be answered. In addition, you may choose to submit one piece of coursework. The coursework consists of an essay of 3,000 words. The topics for the essay will be announced in class.

Supervisions

You will have 3 supervisions as part of this course.  You will be asked to prepare an essay or written exercise for each supervision and be ready to discuss it with your supervisor and other students. Please refer to the end of this document for further details on the supervision sessions.

 

Overview of Course Sessions:

 

Session 1: Grasping the Extent and Nature of the Problem

Session 2: Sustainability as a System Condition  

Session 3: Guest Lecturer on Business Sustainability and Climate Change

Session 4: Can Commerce Mimic Nature? Circular Economy and Industrial Symbiosis

Session 5: Industrial Symbiosis Case Analysis

Session 6: Life Cycle Assessment

Session 7: Driving Sustainability Efforts through Business Strategy

Session 8: How Much is Enough? Supply Chain Sustainability and Accountability

Handouts

In order to protect the environment, lecturers are encouraged not to disseminate hardcopies of the lecture slides, but rather to upload the slides in advance of each session. We hope that this arrangement will work well for you.

Reading List

General Reading

 

Each of these books offers valuable perspectives on business and environmental sustainability. Some of them cover a wide range of industries and/or materials, and should be treated as general references for those wishing to go deeper into a particular issue, for example for a supervision or coursework paper.

 

Senge, P. et al. (2010)

The Necessary Revolution: How Individuals and Organizations are Working Together to Create a Sustainable World. Crown Publishing

Library links to go here

Ehrenfeld, J. (2009)

Sustainability by Design: A Subversive Strategy for Transforming Our Consumer Culture. New Haven, CT: Yale University Press

Library links to go here

Graedel, T. & Howard-Grenville, J. (2005)

Greening the Industrial Facility: Perspectives, Approaches, and Tools. New York, NY: Springer

Library links to go here

Allwood, J. M. & Cullen, J. M. (2015)

Sustainable Materials - Without the Hot Air: Making Buildings, Vehicles and Products Efficiently and with Less New Material. Cambridge, UIT Press.

All chapters available for free download at:

http://www.withbotheyesopen.com/read.php

 

 

Detailed Reading

 

While readings under “required preparation” represent essential preparatory work prior to each class, there is no expectation that you will read literature marked as optional reading. The intention is to give you the option of reading more deeply on topics that interest you, and to provide with a taste of the academic literature that has pushed the field of business and sustainability research forward.

 

 

Session 1: Grasping the Extent and Nature of the Problem

During the first session, we will explore the state of the problem, considering how business organizations both contribute to the current state of planetary health, and, importantly, must act within its constraints. We will consider recent trends and their implications for business operations, including resource availability, product/service shifts, and business models.

Pre-Assignment

Footprint calculations: using either http://coolclimate.berkeley.edu/carboncalculator OR http://footprint.wwf.org.uk/ calculate your personal/household carbon footprint.

 

[The two options use US or UK base cases/units; feel free to select another that works better for your situation; there are many other options and you are free to estimate your climate change footprint using one of these].

 

Required Reading

 

Figueres, C., Schellnhuber, H. J., Whiteman, G., Hobley, A., & Rahmstorf, S. (2017). Three years to safeguard our climate. Nature546(7660), 593-595.

 

Optional Reading

 

Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., ... & Sörlin, S. (2015). Planetary boundaries: Guiding human development on a changing planet. Science347(6223), 1259855.

 

 

Session 2: Sustainability as a System Condition

 

In this session, students will form teams to play a simulation game that introduces ideas of systems dynamics and the ‘tragedy of the commons,’ two ideas that underpin the complexity of environmental sustainability issues and illuminate the inherent challenges to their resolution by business organizations. 

 

Required Reading

 

Fishbanks Introduction (2 pages); handed out in class prior to simulation.

 

Optional reading:

 

Hardin, G. (1968). The tragedy of the commons. Science, 162(3859), 1243-1248

 

Dietz, T., Ostrom, E., & Stern, P. C. (2003). The struggle to govern the commons. science302(5652), 1907-1912.

 

Ehrenfeld, J. (2008). Sustainability by design. A subversive strategy for transforming our consumer culture. New Haven: Yale University. Chapter 2. pp. 11-21.

 

Sterman, J.D. 2012. Sustaining sustainability: creating a systems science in a fragmented academy and polarized world. In Sustainability Science (pp. 21-58). Springer New York.

 

Session 3: Guest Lecturer on Business Sustainability

 

Prof. Andrew J. Hoffman, Holcim (US) Professor of Sustainable Enterprise at the University of Michigan will speak on the topic of climate change and business responses, and share specific examples.

 

Session 4: Can Commerce Mimic Nature? Circular Economy and Industrial Symbiosis

                                                        

We consider the intriguing premise of the circular economy/industrial ecology, which is the idea that industrial and commercial systems could mimic nature, where material resources are infinitely recycled and there is no such thing as accumulation of ‘waste.’ We will learn about model systems around the world that put the principles of industrial ecology, and industrial symbiosis (the direct exchange of waste or by-product between firms) into practice. These systems not only optimize resource use, but also lower carbon emissions as they reduce the need for the extraction or production of virgin materials.

 

What opportunities arise when managers start thinking differently about resources? What are the challenges to putting these kind of arrangements in place?

 

Required Reading

Frosch & Gallopoulos, 1989. Strategies for Manufacturing. Scientific American. 7 pages.

 

Optional Reading

Listen to the Industrial Waste segment at: http://www.cbc.ca/whatawaste/episodes/2014/07/28/industrial-waste/

 

Boons, F., Chertow, M., Park, J., Spekkink, W., & Shi, H. (2016). Industrial symbiosis dynamics and the problem of equivalence: Proposal for a comparative framework. Journal of Industrial Ecology.

 

Chertow, M., & Ehrenfeld, J. (2012). Organizing Self‐Organizing Systems. Journal of Industrial Ecology16(1), 13-27.

 

Paquin & Howard-Grenville 2009. Facilitating regional industrial symbiosis: Network growth in the UK’s National Industrial Symbiosis Programme. In Boons & Howard-Grenville (Eds.). The Social Embeddedness of Industrial Ecology.

 

Session 5: Industrial Symbiosis Case Analysis

 

We will discuss the Cook Composites & Polymers case. Can a toxic chemical by-product be made into a useful and saleable product? What are the environmental and economic benefits, and do these outweigh the risks? What recommendations do you have for managers at Cook Composites & Polymers?

 

Required ReadingCase

Please fully and carefully read the case prior to class and think about your position on the options posed. You will be expected to be ready to your ideas about the case itself, and the questions it raises, in class.

 

Lee, D. Toffel, M. & Gordon, R. Cook Composites & Polymers, Co. Harvard Business School Publishing. Case # 9-608-055. Revised May 21, 2017.

 

Session 6: Life Cycle Assessment

 

We will learn about managerial application of life cycle assessment (LCA), a methodology for assessing sustainability impacts of products or processes. Students will work on an in-class LCA exercise designed to show how sustainability impacts can be quantified and compared, and the assumptions and trade-offs that are inherent in such quantification and comparison.

 

Optional Reading

Graedel & Allenby. 2009. Chapter 12: An Introduction to Life Cycle Assessment. In Industrial Ecology and Sustainable Engineering. Prentice Hall. pp. 161-173.

 

Graedel & Allenby. 2009. Chapter 13: The LCA Impact and Interpretation Stages. In Industrial Ecology and Sustainable Engineering. Prentice Hall. pp. 175-189.

 

Toffel, M.  & Sice, S. 2011. Carbon Footprints: Methods and Calculations. Harvard Business School Publishing. # 611075. Revision date Dec 19, 2013. 15 pages.

 

Session 7: Driving Sustainability Efforts through Business Strategy

 

Recent years have seen a virtual explosion in measurement, metrics and reporting on sustainability impacts by business organizations. But managers should be driven by smart sustainability strategy, not just the demands of reporting. In this session we will explore the state of sustainability reporting, with its recent emphasis on materiality (in brief: ‘what matters’ to a company), and how this can and should shape sustainability strategy.

 

Required ReadingCase

Please fully and carefully read the case prior to class and think about your position on the options posed. You will be expected to be ready to your ideas about the case itself, and the questions it raises, in class.

 

Eccles, R., Serafeim, G., and Armbrester, K. Tough Decisions at Marks and Spencer. Harvard Business School Publishing. Case # 9-112-062. Revised September 30, 2015.

 

Optional Reading

Eccles, R. G., & Serafeim, G. (2013). The performance frontier. Harvard Business Review91(5), 50-60.

 

SustainAbility (2014) See change: How transparency drives performance. Read the Executive Summary, the section on Materiality, and the section on Integration. About 16 pages.

 

Session 8: How Much is Enough? Supply Chain Sustainability and Accountability

 

Using an in-class case discussion on the publishing company, Axel Springer, we close the course by exploring the boundaries of responsibility for sustainability practices. Is a digital media provider responsible for the conflict minerals in your smartphone? This example opens up the linked issues of social and environmental sustainability and also returns us to questions of how managers grapple with a world of systems – and to what degree they can influence sustainability impacts in the far reaches of their value chain.

 

 

Supervisions

To be announced.

 

Biographical information:

Dr. Jennifer Howard-Grenville is the Diageo Professor in Organisation Studies at the Cambridge Judge Business School. Her research is focused on how organizations manage change, particularly around environmental and social issues. Jennifer received her PhD at MIT, her MA at Oxford, and her BSc (Eng.) at Queen’s University, Canada. She has taught extensively on management and business sustainability to MBAs, Executive MBAs, doctoral students and undergraduates.

 


 

Further notes

Teaching Methods:

  • Interactive lecture sessions
  • In-class simulations and case discussions
  • In-class exercises

Examples papers

As this is a new elective this year, there are no example papers available, but guidance will be given on how to prepare for the final paper.

Coursework

Details to be announced in lectures.

[Coursework Title]

Learning objectives

  • Apply concepts and frameworks introduced in the lectures to a specific business opportunity/problem.
  • Critically examine and discuss tradeoffs that arise in the solutions/proposal.

Practical information:

  • The coursework will be an (optional) essay that will help students prepare for the final paper, as the question set will be similar to those encountered on the exam.
  •  

Full Technical Report:

Students [will/won't] have the option to submit a Full Technical Report.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 03/09/2017 08:17

Engineering Tripos Part IIA, 3G2: Mathematical Physiology, 2025-26

Module Leader

Prof Mate Lengyel

Lecturers

Prof Mate Lengyel, Prof A Agarwal, Dr T Savin

Lab Leader

Dr S Mandre

Timing and Structure

Lent term. 16 lectures.

Aims

The aims of the course are to:

  • introduce students to the key physiological functions that are necessary for a living organism,
  • develop a interdisciplinary analytical approach to quantitatively describe these functions,
  • provide an overview of the modelling techniques that are commonly used to understand and predict physiological processes.

Objectives

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

  • identify the key physiological processes at play at all relevant scales, from molecules to organisms,
  • apply physical, mechanical and chemical principles in the context of physiological processes,
  • critically discuss the validity of underlying assumptions and check their validity,
  • use mathematical and computational tools to determine and interpret model solutions.

Content

A wide variety of topics are touched upon, from biochemistry and cellular function to neural activity and respiration. In all cases, the emphasis is on finding the simplest mathematical model that describes the observations and allows us to identify the relevant physiological parameters. The models often take the form of a simple functional relationship between two variables, or a set of coupled differential equations. The course tries to show where the equations come from and lead to: what assumptions are needed and what simple and robust conclusions can be drawn.

Physical and chemical principles (4L A Kabla)

  • Molecular transport, diffusion, osmotic pressure
  • Chemical reactions, law of mass action, kinetics
  • Enzyme catalysis, Michaelis-Menten model, cooperativity.
  • Gases, partial pressures and solubility

Electrophysiology (5L)

  • Biophysical bases of cellular electrogenesis and basic ingredients of the equivalent circuit model.
  • Action potential generation in neurons: Hodgkin-Huxley model.
  • Phase plane analysis;reduced models,extension to bursting and pacemaking activity
  • Signal propagation along dendritic and axonal projections, and across chemical and electrical synapses. .

Blood Physiology (3L A Kabla)

  • Blood physiology, composition
  • Gas storage in red blood cells
  • Blood rheology, Cason equation, flow in capilleries

Physiological transport systems (4L A Kabla)

  • Circulatory system, heart, cardiac output, arterial pulse
  • Vessel compliance, pulsatile flow profile
  • Blood flow in caplliery beds, filtration
  • Respiratory system, gas exchange in the lungs, ventilation-perfusion

Coursework

Physiology of speech production. 

Learning objectives

At the end of this activity, students will be able to:

  • describe how phonation occurs in humans and how vocal folds exploit a steady flow of air from the lungs to generate steady oscillations;
  • model the movement of the vocal folds, from stating hypotheses to calculating numerical solutions;
  • use standard numerical packages to solve non-linear ordinary differential equations.
  • critically discuss the different dynamic regimes observed in the model and their significance.

Practical information:

  • Sessions will take place in the EIETL, around week 3.
  • This activity involves preliminary work (about 1h).

Full Technical Report:

Students will have the option to produce a Full Technical Report (FTR).

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.

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.

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: 04/06/2025 13:22

Engineering Tripos Part IIA, 3G2: Mathematical Physiology, 2024-25

Module Leader

Prof A J Kabla

Lecturers

Prof A Kabla, Prof Mate Lengyel

Lab Leader

Prof A Kabla

Timing and Structure

Lent term. 16 lectures.

Aims

The aims of the course are to:

  • introduce students to the key physiological functions that are necessary for a living organism,
  • develop a interdisciplinary analytical approach to quantitatively describe these functions,
  • provide an overview of the modelling techniques that are commonly used to understand and predict physiological processes.

Objectives

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

  • identify the key physiological processes at play at all relevant scales, from molecules to organisms,
  • apply physical, mechanical and chemical principles in the context of physiological processes,
  • critically discuss the validity of underlying assumptions and check their validity,
  • use mathematical and computational tools to determine and interpret model solutions.

Content

A wide variety of topics are touched upon, from biochemistry and cellular function to neural activity and respiration. In all cases, the emphasis is on finding the simplest mathematical model that describes the observations and allows us to identify the relevant physiological parameters. The models often take the form of a simple functional relationship between two variables, or a set of coupled differential equations. The course tries to show where the equations come from and lead to: what assumptions are needed and what simple and robust conclusions can be drawn.

Physical and chemical principles (4L A Kabla)

  • Molecular transport, diffusion, osmotic pressure
  • Chemical reactions, law of mass action, kinetics
  • Enzyme catalysis, Michaelis-Menten model, cooperativity.
  • Gases, partial pressures and solubility

Electrophysiology (5L)

  • Biophysical bases of cellular electrogenesis and basic ingredients of the equivalent circuit model.
  • Action potential generation in neurons: Hodgkin-Huxley model.
  • Phase plane analysis;reduced models,extension to bursting and pacemaking activity
  • Signal propagation along dendritic and axonal projections, and across chemical and electrical synapses. .

Blood Physiology (3L A Kabla)

  • Blood physiology, composition
  • Gas storage in red blood cells
  • Blood rheology, Cason equation, flow in capilleries

Physiological transport systems (4L A Kabla)

  • Circulatory system, heart, cardiac output, arterial pulse
  • Vessel compliance, pulsatile flow profile
  • Blood flow in caplliery beds, filtration
  • Respiratory system, gas exchange in the lungs, ventilation-perfusion

Coursework

Physiology of speech production. 

Learning objectives

At the end of this activity, students will be able to:

  • describe how phonation occurs in humans and how vocal folds exploit a steady flow of air from the lungs to generate steady oscillations;
  • model the movement of the vocal folds, from stating hypotheses to calculating numerical solutions;
  • use standard numerical packages to solve non-linear ordinary differential equations.
  • critically discuss the different dynamic regimes observed in the model and their significance.

Practical information:

  • Sessions will take place in the EIETL, around week 3.
  • This activity involves preliminary work (about 1h).

Full Technical Report:

Students will have the option to produce a Full Technical Report (FTR).

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.

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.

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: 31/05/2024 09:55

Engineering Tripos Part IIA, 3G2: Mathematical Physiology, 2023-24

Module Leader

Prof A J Kabla

Lecturers

Prof A Kabla, Prof Mate Lengyel

Lab Leader

Prof A Kabla

Timing and Structure

Lent term. 16 lectures.

Aims

The aims of the course are to:

  • introduce students to the key physiological functions that are necessary for a living organism,
  • develop a interdisciplinary analytical approach to quantitatively describe these functions,
  • provide an overview of the modelling techniques that are commonly used to understand and predict physiological processes.

Objectives

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

  • identify the key physiological processes at play at all relevant scales, from molecules to organisms,
  • apply physical, mechanical and chemical principles in the context of physiological processes,
  • critically discuss the validity of underlying assumptions and check their validity,
  • use mathematical and computational tools to determine and interpret model solutions.

Content

A wide variety of topics are touched upon, from biochemistry and cellular function to neural activity and respiration. In all cases, the emphasis is on finding the simplest mathematical model that describes the observations and allows us to identify the relevant physiological parameters. The models often take the form of a simple functional relationship between two variables, or a set of coupled differential equations. The course tries to show where the equations come from and lead to: what assumptions are needed and what simple and robust conclusions can be drawn.

Physical and chemical principles (4L A Kabla)

  • Molecular transport, diffusion, osmotic pressure
  • Chemical reactions, law of mass action, kinetics
  • Enzyme catalysis, Michaelis-Menten model, cooperativity.
  • Gases, partial pressures and solubility

Electrophysiology (5L)

  • Biophysical bases of cellular electrogenesis and basic ingredients of the equivalent circuit model.
  • Action potential generation in neurons: Hodgkin-Huxley model.
  • Phase plane analysis;reduced models,extension to bursting and pacemaking activity
  • Signal propagation along dendritic and axonal projections, and across chemical and electrical synapses. .

Blood Physiology (3L A Kabla)

  • Blood physiology, composition
  • Gas storage in red blood cells
  • Blood rheology, Cason equation, flow in capilleries

Physiological transport systems (4L A Kabla)

  • Circulatory system, heart, cardiac output, arterial pulse
  • Vessel compliance, pulsatile flow profile
  • Blood flow in caplliery beds, filtration
  • Respiratory system, gas exchange in the lungs, ventilation-perfusion

Coursework

Physiology of speech production. 

Learning objectives

At the end of this activity, students will be able to:

  • describe how phonation occurs in humans and how vocal folds exploit a steady flow of air from the lungs to generate steady oscillations;
  • model the movement of the vocal folds, from stating hypotheses to calculating numerical solutions;
  • use standard numerical packages to solve non-linear ordinary differential equations.
  • critically discuss the different dynamic regimes observed in the model and their significance.

Practical information:

  • Sessions will take place in the EIETL, around week 3.
  • This activity involves preliminary work (about 1h).

Full Technical Report:

Students will have the option to produce a Full Technical Report (FTR).

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.

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.

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: 30/05/2023 15:22

Engineering Tripos Part IIA, 3G2: Mathematical Physiology, 2022-23

Module Leader

Prof A J Kabla

Lecturers

Prof A Kabla, Prof Mate Lengyel

Lab Leader

Prof A Kabla

Timing and Structure

Lent term. 16 lectures.

Aims

The aims of the course are to:

  • introduce students to the key physiological functions that are necessary for a living organism,
  • develop a interdisciplinary analytical approach to quantitatively describe these functions,
  • provide an overview of the modelling techniques that are commonly used to understand and predict physiological processes.

Objectives

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

  • identify the key physiological processes at play at all relevant scales, from molecules to organisms,
  • apply physical, mechanical and chemical principles in the context of physiological processes,
  • critically discuss the validity of underlying assumptions and check their validity,
  • use mathematical and computational tools to determine and interpret model solutions.

Content

A wide variety of topics are touched upon, from biochemistry and cellular function to neural activity and respiration. In all cases, the emphasis is on finding the simplest mathematical model that describes the observations and allows us to identify the relevant physiological parameters. The models often take the form of a simple functional relationship between two variables, or a set of coupled differential equations. The course tries to show where the equations come from and lead to: what assumptions are needed and what simple and robust conclusions can be drawn.

Physical and chemical principles (4L A Kabla)

  • Molecular transport, diffusion, osmotic pressure
  • Chemical reactions, law of mass action, kinetics
  • Enzyme catalysis, Michaelis-Menten model, cooperativity.
  • Gases, partial pressures and solubility

Electrophysiology (5L)

  • Biophysical bases of cellular electrogenesis and basic ingredients of the equivalent circuit model.
  • Action potential generation in neurons: Hodgkin-Huxley model.
  • Phase plane analysis;reduced models,extension to bursting and pacemaking activity
  • Signal propagation along dendritic and axonal projections, and across chemical and electrical synapses. .

Blood Physiology (3L A Kabla)

  • Blood physiology, composition
  • Gas storage in red blood cells
  • Blood rheology, Cason equation, flow in capilleries

Physiological transport systems (4L A Kabla)

  • Circulatory system, heart, cardiac output, arterial pulse
  • Vessel compliance, pulsatile flow profile
  • Blood flow in caplliery beds, filtration
  • Respiratory system, gas exchange in the lungs, ventilation-perfusion

Coursework

Physiology of speech production. 

Learning objectives

At the end of this activity, students will be able to:

  • describe how phonation occurs in humans and how vocal folds exploit a steady flow of air from the lungs to generate steady oscillations;
  • model the movement of the vocal folds, from stating hypotheses to calculating numerical solutions;
  • use standard numerical packages to solve non-linear ordinary differential equations.
  • critically discuss the different dynamic regimes observed in the model and their significance.

Practical information:

  • Sessions will take place in the EIETL, around week 3.
  • This activity involves preliminary work (about 1h).

Full Technical Report:

Students will have the option to produce a Full Technical Report (FTR).

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.

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.

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: 23/11/2022 08:42

Pages

Subscribe to CUED undergraduate teaching site RSS