Skip to main contentCambridge University Reporter

No 6554

Wednesday 3 July 2019

Vol cxlix No 36

pp. 759–794

Notices by Faculty Boards, etc.

Advanced Chemical Engineering for the M.Phil. Degree, 2019–20: Modules

The Degree Committee for the Faculty of Engineering gives notice that in the academic year 2019–20 the mandatory and optional modules available for study for the examination in Advanced Chemical Engineering for the degree of Master of Philosophy (Statutes and Ordinances, p. 513) and the form of examination of each module will be as follows:

Mandatory modules

Reference

Name

Mode of assessment1

DA

Data analysis

Coursework

NM

Numerical methods in chemical engineering

Coursework

Optional modules

Reference

Name

Mode of assessment1, 2

B1

Advanced transport processes

Examination

B2

Electrochemical engineering

Examination

B3

Pharmaceutical engineering

Examination

B4

Rheology and processing

Examination

B5

Computational fluid dynamics

Coursework

B6

Fluid mechanics and the environment

Examination

C1

Optical microscopy

Examination

C2

Optimisation

Examination

C3

Healthcare biotechnology

Coursework

C6

Biosensors and bioelectronics

Coursework

C7

Bionanotechnology

Examination and coursework

C8

Biophysics

Examination

4D14

Contaminated land and waste containment

Examination and coursework

4E1

Innovation and strategic management of intellectual property

Coursework

4E3

Business innovation in a digital age

Coursework

4E4

Management of technology

Coursework

4E5

International business

Coursework

4E11

Strategic management

Coursework

4G4

Biomimetics

Coursework

4I7

Electricity and environment

Coursework

4M16

Nuclear power engineering

Examination

4M22

Climate change mitigation

Coursework

The Degree Committee for the Faculty of Engineering reserves the right to add to this list during the Michaelmas Term 2019.

Footnotes

  • 1Any written coursework item has a limit of 10,000 words. 


  • 2All written examinations are of 90 minutes’ duration (excluding designated reading time).


Advanced Computer Science for the M.Phil. Degree, 2019–20: Modules

The Degree Committee for the Faculty of Computer Science and Technology gives notice that in the academic year 2019–20 the modules available for study for the examination in Advanced Computer Science for the degree of Master of Philosophy (Statutes and Ordinances, p. 513) and the form of examination of each module will be as stated below.

The Degree Committee reserves the right to withdraw any module should fewer than five students enrolled on the M.Phil. in Advanced Computer Science elect to study them. To satisfy timetabling, resourcing or other constraints, the Faculty Board may impose a cap on the numbers of students from any particular course who may take a particular module. Candidates may not offer more than one Special topic for examination.

Michaelmas Term 2019

Reference

Name

Mode of assessment

L352

Advanced graphics and image processing

Coursework

R265

Advanced topics in computer architecture

Coursework

R249

Advanced topics in mobile systems and mobile data machine learning, part 1

Coursework

L11

Algebraic path problems

Coursework

L18

Automated reasoning

Coursework and written test

L108

Category theory

Coursework and written test

R254

Cybercrime

Coursework

L314

Digital signal processing

Coursework

P232

Hardware security

Coursework

L21

Interactive formal verification

Coursework

L95

Introduction to natural language syntax and parsing

Coursework

L50

Introduction to networking and systems measurements

Coursework

R244

Large-scale data processing and optimisation

Coursework

L101

Machine learning for language processing

Coursework

L304

Multicore semantics and programming

Coursework

R02

Network architectures

Coursework

L90

Overview of natural language processing

Coursework

LE49

Probabilistic machine learning, part 1

Coursework

R260

Technology, law and society

Coursework

S500

Special topic MT

Coursework

Lent Term 2020

Reference

Name

Mode of assessment

L41

Advanced operating systems

Coursework

R01

Advanced topics in computer systems

Coursework

R250

Advanced topics in machine learning and natural language processing

Coursework

R249

Advanced topics in mobile systems and mobile data machine learning, part 2

Coursework

L44

Affective computing

Coursework

R209

Computer security: principles and foundations

Coursework

R248

Computer vision

Coursework

P51

High performance networking

Coursework

P252

Machine learning for programming

Coursework

L310

Mobile robot systems

Coursework

LE49

Probabilistic machine learning, part 2

Coursework

L301

Topics in concurrency

Coursework

L15

Topics in logic and complexity

Coursework

S501

Special topic LT

Coursework

Easter Term 2020

No modules currently offered in Easter Term 2020.

Research Skills Programme, 2019–20

The Degree Committee for the Faculty of Computer Science and Technology gives notice of the form of the evaluation of the Research Skills programme for 2019–20. Students must accumulate a minimum of twelve credits from core and optional units. The mode of delivery and work required for each unit will vary. Students will be required to submit a Research Skills logbook which records the units attended and provides evidence of the work completed for each unit.

Further details can be found on the course websites at http://www.cl.cam.ac.uk/teaching/current/acs.html and https://www.cst.cam.ac.uk/teaching/masters/.