MT4614 Design of Experiments

Course Information

The timetable and other details for Spring Semester 2023 will be updated once the details are confirmed.

LectureMonday, 0900–1000Lecture Theatre A 1, 3, 5, 7, 9, 11
LectureWednesday, 0900–1000Lecture Theatre A 1–11
LectureFriday, 0900–1000Lecture Theatre A 1–6 and 8–11
TutorialFriday, 1500–1600Tutorial Room 1C 2, 3, 5, 6, 8, 9, 11
PracticalFriday, 1400–1600Computer Classroom 4, 7, 10

Fire exits

From Lecture Theatre A, use the emergency exit on the left at the front of the room, then assemble on the grass in front of Computer Science.

From Tutorial Room 1C: use the exit under the archway on the South side of the building, then assemble as above.

From the Computer Classroom: go directly down the stairs to the exit under the archway on the South side of the building, then assemble as above.

Description, Syllabus and Intended Learning Outcomes

A more detailed course description and syllabus than the information in the course catalogue is available here. This also shows a list of intended learning outcomes.

Lecture Notes

To be updated.

Lecture 117 January 2022 L1 slides Not available
Lecture 2 19 January 2022 L2 slides Not available
Lecture 3 21 January 2022 L3 slides Not available
Lecture 4 26 January 2022 L4 slides L4 lecture
Lecture 5 28 January 2022 L5 slides L5 lecture
Lecture 6 31 January 2022 L6 slides L6 lecture
Lecture 7 2 February 2022 L7 slides L7 lecture
Lecture 8 4 February 2022 L8 slides L8 lecture
Lecture 9 9 February 2022 L9 slides L9 lecture
Lecture 10 11 February 2022 L10 slides L10 lecture
Lecture 11 14 February 2022 L11 slides L11 lecture
Lecture 12 16 February 2022 L12 slides L12 lecture
Lecture 13 18 February 2022 L13 slides L13 lecture
Lecture 14 2 March 2022 L14 slides L14 lecture (a)   L 14 lecture (b)
Lecture 15 4 March 2022 L15 slides L15 lecture
Lecture 16 7 March 2022 L16 slides L 16 lecture
Lecture 17 9 March 2022 L17 slides L17 lecture
Lecture 18 16 March 2022 L18 slides L18 lecture
Lecture 19 18 March 2022 L19 slides L19 lecture
Lecture 20 21 March 2022 L20 slides L20 lecture
Lecture 21 23 March 2022 L21 slides L21 lecture
Lecture 22 25 March 2022 L22 slides L22 lecture
Lecture 23 30 March 2022 L23 slides L23 lecture (a)  L23 lecture (b)
Lecture 24 1 April 2022 L24 slides L24 lecture
Lecture 25 4 April 2022 L25 slides L25 lecture
Lecture 26 6 April 2022 L26 slides L26 lecture
Lecture 27 8 April 2022 L27 slides L27 lecture

The material covered in lectures is similar to that in parts of my book Design of Comparative Experiments (Cambridge University Press, 2008). After each week, the relevant sections will be listed here.

Basics of random variables

These notes revise some material that we need to use from Week 2 onwards.

Problem sheets

10% of your overall marks are for presenting the answer to one question from a problem sheet in a tutorial. If you do this more than once, you will be given the score of your best answer.

Written coursework to hand in

There will be two further problem sheets, each giving 5% of your overall marks. The questions will include some material from the computer practicals. The deadlines for handing in your solutions will be shown here.


Practical worksheets

These involve using the statistical software R. It is assumed that you all have access to this. If possible, come to the session in the Computer Classroom.

Data files

Data files required for the practical work will be shown below.

Some real experiments

If you find any interesting experiments in the news, please tell me.

Course web page