Year 1, Academic year 2016/17, Starting month: September
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor.
COMPULSORY COURSES
This DPT has 6
compulsory course(s).
Code |
Course Name |
Period |
Credits |
INFR08012
|
Informatics 1 - Computation and Logic |
As available |
10 |
|
INFR08013
|
Informatics 1 - Functional Programming |
As available |
10 |
|
INFR08014
|
Informatics 1 - Object-Oriented Programming |
As available |
10 |
|
INFR08015
|
Informatics 1 - Data and Analysis |
As available |
10 |
|
INFR08020
|
Informatics 1 - Cognitive Science |
As available |
20 |
|
MATH08057
|
Introduction to Linear Algebra |
As available |
20 |
|
COURSE OPTIONS
This DPT has 2
set(s) of course options with the following rules.
Select
exactly 40 credits
course level 08, as available
LASC08015
Linguistics & English Language 1
(40 credits)
OR
Select
exactly 40 credits
from the following list of courses, as available
|
Year 2, Academic year 2016/17, Starting month: August
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor.
In addition to passing all compulsory courses, entry to Honours requires a pass at 50% or above at the first attempt in modules totalling 60 points. These must include 20 points of the listed Informatics 2 courses, and 40 points from LEL2A; LEL2B; LEL2D; Mind, Matter & Language; Knowledge & Reality; Psychology 2A; or Psychology 2B. Entry to Honours may also be obtained by permission of the Head of School.
COMPULSORY COURSES
This DPT has 1
compulsory course(s).
Code |
Course Name |
Period |
Credits |
INFR08008
|
Informatics 2A - Processing Formal and Natural Languages |
As available |
20 |
|
COURSE OPTIONS
This DPT has 9
set(s) of course options with the following rules.
Overarching rule collection group: A
Select exactly 100 credits
from these collections:
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR08009
|
Informatics 2B - Algorithms, Data Structures, Learning
|
20
|
INFR08010
|
Informatics 2D - Reasoning and Agents
|
20
|
AND
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR08023
|
Discrete Mathematics and Mathematical Reasoning
|
20
|
MATH08067
|
Probability with Applications
|
20
|
AND
Select
a minimum of 40 credits and maximum of 60 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
PHIL08014
|
Mind, Matter and Language
|
20
|
PHIL08017
|
Knowledge and Reality
|
20
|
LASC08017
|
LEL2A: Linguistic Theory and the Structure of English
|
20
|
LASC08020
|
LEL2D: Cross-linguistic Variation: Limits and Theories
|
20
|
LASC08018
|
LEL2B: Phonetic Analysis and Empirical Methods
|
20
|
PPLS08001
|
Research Methods and Statistics
|
20
|
AND
OR
Overarching rule collection group: B
Select exactly 100 credits
from these collections:
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR08009
|
Informatics 2B - Algorithms, Data Structures, Learning
|
20
|
INFR08010
|
Informatics 2D - Reasoning and Agents
|
20
|
AND
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR08023
|
Discrete Mathematics and Mathematical Reasoning
|
20
|
MATH08067
|
Probability with Applications
|
20
|
AND
Select
exactly 20 credits
course level 08, as available
PPLS08001
Research Methods and Statistics
(20 credits)
AND
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
AND
|
Year 3, Academic year 2016/17, Starting month: August
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor.
These lists include courses at level 9 (code INFR09xxx) and level 10 (code INFR10xxx). In general, level 10 courses will contain more advanced material and be taught at a higher level than level 9 courses; you should take account of this when planning your course combination. Each entry links to a matching page in the University course catalogue, where you can find a description of the course content and information about any specific entry requirements.
COMPULSORY COURSES
This DPT has 1
compulsory course(s).
Code |
Course Name |
Period |
Credits |
INFR10054
|
Computational Cognitive Science |
As available |
10 |
|
COURSE OPTIONS
This DPT has 5
set(s) of course options with the following rules.
Overarching rule collection group: A
Select exactly 110 credits
from these collections:
Select
exactly 20 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR09044
|
Computer Science Large Practical
|
20
|
INFR09045
|
Software Engineering Large Practical
|
20
|
INFR09043
|
AI Large Practical
|
20
|
AND
Select
a minimum of 10 credits and maximum of 50 credits
from the following list of courses, as available
AND
Select
a minimum of 0 credits and maximum of 10 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR10022
|
Professional Issues (Level 10)
|
10
|
AND
Select
a minimum of 40 credits and maximum of 80 credits
from
Level 9 and 10 courses in Schedule I, as available
Notes: These are courses in the School of Philosophy, Psychology and Language Sciences. Level 10 courses are only permitted under this option when the "normal year taken" is "year 3 undergraduate".
AND
Select
a minimum of 0 credits and maximum of 10 credits
from
Level 9 and 10 courses in Schedules A to Q, T and W, as available
Notes: These are courses in all schools other than Medicine or Veterinary Studies, and include courses normally taken by 4th-year students. In the case that this DPT option is chosen, you are advised to obtain permission to take the course from the course organiser, and have the course choice approved by your personal tutor.
|
Year 4, Academic year 2016/17, Starting month: August
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor.
These lists include courses at level 10 (code INFR10xxx) and level 11 (code INFR11xxx). In general, level 11 courses will contain more advanced material and be taught at a higher level than level 10 courses; you should take account of this when planning your course combination. Each entry links to a matching page in the University course catalogue, where you can find a description of the course content and information about any specific entry requirements.
COMPULSORY COURSES
This DPT has 0
compulsory course(s).
Code |
Course Name |
Period |
Credits |
COURSE OPTIONS
This DPT has 8
set(s) of course options with the following rules.
Overarching rule collection group: A
Select exactly 120 credits
from these collections:
Select
exactly 40 credits
course level 10, as available
INFR10044
Honours Project (Informatics)
(40 credits)
AND
Select
a minimum of 20 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR11069
|
Adaptive Learning Environments 1 (Level 11)
|
10
|
INFR11021
|
Computer Graphics (Level 11)
|
10
|
INFR11049
|
Computer Networking (Level 11)
|
10
|
INFR11032
|
Compiler Optimisation (Level 11)
|
10
|
INFR11022
|
Distributed Systems (Level 11)
|
10
|
INFR11017
|
Human-Computer Interaction (Level 11)
|
10
|
INFR11061
|
Natural Language Understanding (Level 11)
|
10
|
INFR11024
|
Parallel Architectures (Level 11)
|
10
|
INFR11023
|
Parallel Programming Languages and Systems (Level 11)
|
10
|
INFR11038
|
Software Architecture, Process, and Management (Level 11)
|
10
|
INFR10049
|
Agent Based Systems (Level 10)
|
10
|
INFR10052
|
Algorithms and Data Structures
|
10
|
INFR10054
|
Computational Cognitive Science
|
10
|
INFR10057
|
Software Testing
|
10
|
INFR11020
|
Algorithmic Game Theory and its Applications
|
10
|
INFR11033
|
Automatic Speech Recognition
|
10
|
INFR11111
|
Computer Algebra
|
10
|
INFR11088
|
Extreme Computing
|
10
|
INFR10059
|
Introduction to Theoretical Computer Science
|
10
|
INFR11113
|
Topics in Natural Language Processing
|
10
|
LASC10061
|
Speech Processing (Hons)
|
20
|
PHIL10024
|
Theories of Mind (Philosophy Hons)
|
20
|
PHIL10133
|
Logic, Computability and Incompleteness
|
20
|
INFR11098
|
Secure Programming
|
10
|
INFR10005
|
Intelligent Autonomous Robotics (Level 10)
|
10
|
INFR11120
|
Embedded Systems
|
10
|
INFR10061
|
Elements of Programming Languages
|
10
|
INFR11124
|
Social and Technological Networks
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
INFR10065
|
Compiling Techniques
|
20
|
INFR10070
|
Database Systems
|
20
|
INFR10064
|
Software Design and Modelling
|
20
|
INFR10067
|
Computer Security
|
20
|
INFR11133
|
Machine Translation
|
20
|
INFR11130
|
Machine Learning and Pattern Recognition
|
20
|
INFR11132
|
Machine Learning Practical
|
20
|
INFR10069
|
Introductory Applied Machine Learning
|
20
|
INFR11011
|
Advanced Databases (Level 11)
|
10
|
INFR11082
|
Performance Modelling (Level 11)
|
10
|
INFR11101
|
Advances in Programming Languages
|
10
|
INFR11114
|
Types and Semantics for Programming Languages
|
10
|
INFR11123
|
Scalable Data Management Systems
|
10
|
INFR11128
|
Categories and Quantum Informatics
|
10
|
INFR11129
|
Formal Verification
|
10
|
INFR11131
|
Introduction to Modern Cryptography
|
10
|
INFR11099
|
Introduction to Quantum Computing
|
10
|
INFR11089
|
Randomness and Computation
|
10
|
AND
AND
Select
a minimum of 0 credits and maximum of 10 credits
from
Level 10 and 11 courses in Schedules A to Q, T and W, as available
Notes: These are courses in all schools other than Medicine or Veterinary Studies, and include courses normally taken by postgraduate students. In the case that this DPT option is chosen, you are advised to obtain permission to take the course from the course organiser, and have the course choice approved by your personal tutor.
OR
Overarching rule collection group: B
Select exactly 120 credits
from these collections:
Select
exactly 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
PHIL10026
|
Dissertation in Philosophy
|
40
|
LASC10024
|
Dissertation in Language Sciences
|
40
|
PSYL10004
|
Dissertation in Psychology
|
40
|
AND
AND
Select
a minimum of 40 credits and maximum of 60 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR11069
|
Adaptive Learning Environments 1 (Level 11)
|
10
|
INFR11021
|
Computer Graphics (Level 11)
|
10
|
INFR11049
|
Computer Networking (Level 11)
|
10
|
INFR11032
|
Compiler Optimisation (Level 11)
|
10
|
INFR11022
|
Distributed Systems (Level 11)
|
10
|
INFR11017
|
Human-Computer Interaction (Level 11)
|
10
|
INFR11061
|
Natural Language Understanding (Level 11)
|
10
|
INFR11024
|
Parallel Architectures (Level 11)
|
10
|
INFR11023
|
Parallel Programming Languages and Systems (Level 11)
|
10
|
INFR11038
|
Software Architecture, Process, and Management (Level 11)
|
10
|
INFR10049
|
Agent Based Systems (Level 10)
|
10
|
INFR10052
|
Algorithms and Data Structures
|
10
|
INFR10054
|
Computational Cognitive Science
|
10
|
INFR10057
|
Software Testing
|
10
|
INFR11020
|
Algorithmic Game Theory and its Applications
|
10
|
INFR11033
|
Automatic Speech Recognition
|
10
|
INFR11111
|
Computer Algebra
|
10
|
INFR11088
|
Extreme Computing
|
10
|
INFR10059
|
Introduction to Theoretical Computer Science
|
10
|
INFR11113
|
Topics in Natural Language Processing
|
10
|
LASC10061
|
Speech Processing (Hons)
|
20
|
PHIL10024
|
Theories of Mind (Philosophy Hons)
|
20
|
PHIL10133
|
Logic, Computability and Incompleteness
|
20
|
INFR11098
|
Secure Programming
|
10
|
INFR10005
|
Intelligent Autonomous Robotics (Level 10)
|
10
|
INFR11120
|
Embedded Systems
|
10
|
INFR10061
|
Elements of Programming Languages
|
10
|
INFR11124
|
Social and Technological Networks
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
INFR10065
|
Compiling Techniques
|
20
|
INFR10070
|
Database Systems
|
20
|
INFR10064
|
Software Design and Modelling
|
20
|
INFR10067
|
Computer Security
|
20
|
INFR11133
|
Machine Translation
|
20
|
INFR11130
|
Machine Learning and Pattern Recognition
|
20
|
INFR11132
|
Machine Learning Practical
|
20
|
INFR10069
|
Introductory Applied Machine Learning
|
20
|
INFR11011
|
Advanced Databases (Level 11)
|
10
|
INFR11082
|
Performance Modelling (Level 11)
|
10
|
INFR11101
|
Advances in Programming Languages
|
10
|
INFR11114
|
Types and Semantics for Programming Languages
|
10
|
INFR11123
|
Scalable Data Management Systems
|
10
|
INFR11128
|
Categories and Quantum Informatics
|
10
|
INFR11129
|
Formal Verification
|
10
|
INFR11131
|
Introduction to Modern Cryptography
|
10
|
INFR11099
|
Introduction to Quantum Computing
|
10
|
INFR11089
|
Randomness and Computation
|
10
|
AND
Select
a minimum of 0 credits and maximum of 10 credits
from
Level 10 and 11 courses in Schedules A to Q, T and W, as available
Notes: These are courses in all schools other than Medicine or Veterinary Studies, and include courses normally taken by postgraduate students. In the case that this DPT option is chosen, you are advised to obtain permission to take the course from the course organiser, and have the course choice approved by your personal tutor.
|
|