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Course Diary

Although most lecture courses take place during the University term dates (see table below), written assignment and project-related work is carried out outside these dates. Students are required to be resident in Cambridge (unless working on a designated project placement) for the duration of the course, and are expected to participate in all mandatory course activities outside the periods of Cambridge Terms.

Event Timetable

Induction Programme:

One to One Session with Course Directors:

-Prof J Elliott: Tuesday 26 September 2017 from 10 am, Maxwell Building, room 3.86 (3rd Floor)

-Dr N Nikiforakis: Friday 29 September 2017 from 10 am, Maxwell Building, room 3.106 (3rd Floor)


Welcome Lunch & Induction: Monday 2 October 2017

-Welcome Lunch (pizza): 1pm Business Lounge, Maxwell Building

-Induction: 2pm Rayleigh seminar room, Maxwell Building

Contact research supervisors:

25 September - 2 October 2017 (week before full Michaelmas Term)


University Grad Health and Safety Course:



Departmental Health and Safety briefing/training:




Maxwell Centre


Tuesday 3 October 2017, 10-12.45pm, The Corn Exchange, Wheeler Street  (arrive 9.45am)


 Friday 6 October 2017, 4.00-5.30pm, Mott Seminar Room

Monday 9 October 2017, 11-12.30pm, Ryle Seminar Room

Wednesday 11 October 2017, 11-12.30pm, Rutherford Seminar Room B


 The Maxwell Centre will also have a compulsory session:

Wednesday 4 October 2017, 10.00-10.30am, J J Thomson seminar room (Maxwell)

Departmental Welcome Event:


Thursday 5 October 2017, 4.00-6.00pm, Pippard Lecture Theatre

Mock exams

mid December 2017 (week after end of lectures) [7 papers]

4-7 December, Ryle seminar room, Rutherford Building, Cavendish Lab.

Mon 4 Dec, 10-12, paper 1, Numerical Analysis (Fundamentals)

Mon 4 Dec, 2-4pm, paper 5, Electronic Structure

Tues 5 Dec, 10-12, paper 4, Numerical Analysis (Linear Systems)

Tues 5 Dec, 2-4pm, paper 7, Machine Learning

Wed 6 Dec, 10-12, paper 2, Numerical Analysis (ODEs)

Wed 6 Dec, 2-4pm, paper 6, Atomistic Modelling

Thur 7 Dec, 10-12, paper 3, Numerical Analysis (PDEs)

Numerical Analysis (papers 1-4)

(third week of January 2018)

10-12 noon, 18-23 January 2018 TBC, in the Ryle seminar room, Rutherford Building, Cavendish Lab.

18 January 2018: Paper 4, Linear systems

19 January 2018: Paper 3, PDEs

22 January 2018: Paper 2, ODEs

23 January 2018: Paper 1, Fundamentals

Machine Learning (paper 7)

10-12 noon, Monday 15 January 2018, in the Ryle seminar room, Rutherford Building, Cavendish Lab.

Electronic Structure (paper 5)

10-12 noon, Wednesday 17 January 2018, in the Ryle seminar room, Rutherford Building, Cavendish Lab.

Atomistic Modelling of Materials (paper 6)

10-12 noon, Tuesday 16 January 2018, in the Ryle seminar room, Rutherford Building, Cavendish Lab.

Progress review/Mid Term Assessments:

Briefing Meeting: Wednesday 25 April, 11.30am in the J J Thomson seminar room

Progress report deadline: noon, Thursday 24 May

Interim Progress Presentations: Tuesday 5 June, from 9am in the J J Thomson Seminar Room

Viva voce examination:

First or second week of September

Examiners meeting:

13 September 2018


Submission deadlines


12:00 noon on:

List of taught courses:

5 October 2017

Written assignments:

21 March 2018

Project progress report:

24 May 2018


31 August 2018

University Terms





Tuesday 3 October 2017

Friday 1 December 2017


Tuesday 16 January 2018

Friday 16 March 2018


Tuesday 24 April 2018

Friday 15 June 2018

Note that the information contained in this Handbook is correct at the time of going to the press but may change during the year. You are advised to check the course website and Google calendar regularly for up-to-date information.

We keep an updated live version of the timetable on Google calendar which the students have access to. It is shared with everyone in the  University of Cambridge. If you cannot see the calendar below, please follow the instructions to access Google Apps @ Cambridge.


Important information for Machine Learning Students:

Please note the following amendments to the Machine Learning lectures schedule:

Friday 10 November: no lecture

Monday 13 November: lecture at regular time

Friday 17 November: 2 hours lecture (11am-1pm)

Monday 20 November: regular time

Wednesday 22 November: lecture 12-1pm

Friday 24 November: 2 hours lecture (11am-1pm)