Computer Science Dr Jonathan Fieldsend, Admissions Tutor

Degree programmes in this talk

• BSc Computer Science

• BSc Computer Science with Industrial Placement

• MSci Computer Science and Mathematics

• BSc Computer Science and Mathematics

• BSc Computer Science and Mathematics with Industrial

Placement

Degree structure at Exeter

• Compulsory and optional modules

• Personal tutor with fortnightly meetings in years 1 & 2

• Contact time:

• Typically 4 modules a term/8 a year

• 2 - 5hrs per module per week

• Study resources and open door policy

Teaching & Assessment

• Teaching:

• Lectures, Workshops, Seminars, Surgeries, Tutorials

• Personal tutor, project manager/supervisor

• Assessment:

• Summative and formative

• Coursework and Examination

First year modules

Term 1 Term 2

Programming for Science Object-Oriented Programming

Computers and the Internet Social and Professional Issues of the Information Age

Vectors and Matrices Discrete Mathematics and Probability

Frontiers of Computer Science*

Fundamentals of Computer Science*

Calculus and Geometry** Advanced Calculus**

• * Computer Science degree programmes only

• ** Computer Science and Mathematics degree programmes only

Second year modules

Term 1

Software Development (c) Software Engineering (c)

Database Design and Application (c)

Communication and Networking Technologies (o)

Algorithms that Changed the World (o)

Applied Computing *(c) **(o)

Machine Learning and Artificial Intelligence *(c) **(o)

Computer Graphics (o)

Information Technology Management and Professional Skills (o)

Electives (o) and Mathematics modules**(c) and (o)

• (c), compulsory modules (o) optional modules

Final Year (BSc)

• All degrees have a compulsory 45 Individual Literature Review

and Project (example posters of these in the back of the room).

• The remaining 75 credits (5 modules) of the final year of the BSc

are selected from optional/elective modules.

• Bioinformatics & Systems Biology, CandI, Computability &

Complexity, Enterprise Computing, Knowledge Representation &

Reasoning, Mobile & Ubiquitous Computing, Nature Inspired

Computing, Topics in Advanced Computing, Electives

MSci final year

• Research Project and Research Methodology module

• Options from Computer Science: Intelligent Image

Understanding, Machine Learning & Optimisation, Ontology for

Information Systems, Pattern Recognition

• Options from Mathematics: Computation & Numerical Analysis,

Dynamical Systems & Chaos, other options dependent on year 3

mathematics module choices

Opportunities to apply skills

• Small development projects from first year

• Team-based software development project in year 2

• Individual project in final year

• Year in industry or 8 week summer industrial placement (CandI:

Commercial and Industry Experience module)

Example Final Year Projects

• Pupil tracking for HCI

• Cooperative hunting robots

• Teaching a computer to play Pontoon using reinforcement

learning

• Augmented reality for mobile devices

• Evolving melodies

• Remote home automation

Example Placements

• BAE Systems, Dorset

• Sony, Hampshire

• Synenta, Switzerland

• GEOMATEC, Bahrain

• IBM, London

• Lockheed Martin, Cornwall

Research Informed Teaching

Staff involved in teaching you at Exeter are also leading

researchers in their field, pushing forward their subject area

• 90% of Computer Science and 100% of Applied Mathematics

research at Exeter internationally recognised level or better

• 50% of Computer Science research at the 3* Internationally

Excellent level, and 15% at the 4* World Leading level

• 50% of Applied Mathematics research at the 3* Internationally

Excellent level, and 10% at the 4* World Leading level

At the end of your degree…

• Exeter Computer Science has 96% graduate-level employability

over the last two years

• 87% Overall satisfaction in the National Student Survey

• College employability officer

• “Employers in the Foyer” sessions

• Central careers service

Thanks for listening

A chance now for Q & A, before some taster lectures

Detecting Lameness in Cows – Prof Richard Everson

Where are the Dots? – Dr Antony Galton

Using Virtual Ants to Discover Genes Associated with Disease – Dr Ed Keedwell

Can a Machine People Watch? – Dr Zena Wood

Contact:

J.E.Fieldsend@exeter.ac.uk