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:
Reference |
Name |
Mode of assessment1 |
DA |
Data analysis |
Coursework |
NM |
Numerical methods in chemical engineering |
Coursework |
Reference |
Name |
|
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.
1Any written coursework item has a limit of 10,000 words.
2All written examinations are of 90 minutes’ duration (excluding designated reading time).
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.
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 |
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 |
No modules currently offered in Easter Term 2020. |
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/.