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: