Year 1, Academic year 2015/16, Starting month: September
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor.
During both years of this programme: 1) students are required to take a minimum of 30 credits of Artificial Intelligence courses; 2) Students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below.
COMPULSORY COURSES
This DPT has 1
compulsory course(s).
Code |
Course Name |
Period |
Credits |
INFR11034
|
Informatics Research Review |
As available |
20 |
|
COURSE OPTIONS
This DPT has 5
set(s) of course options with the following rules.
Overarching rule collection group: A
Select exactly 40 credits
from these collections:
Select
a minimum of 0 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR11020
|
Algorithmic Game Theory and its Applications
|
10
|
INFR11069
|
Adaptive Learning Environments 1 (Level 11)
|
10
|
INFR11074
|
Automated Reasoning (Level 11)
|
10
|
INFR11033
|
Automatic Speech Recognition
|
10
|
INFR11067
|
Computer Animation & Visualisation (Level 11)
|
10
|
INFR11036
|
Computational Cognitive Neuroscience
|
10
|
INFR11021
|
Computer Graphics (Level 11)
|
10
|
INFR11017
|
Human-Computer Interaction (Level 11)
|
10
|
INFR11073
|
Machine Learning & Pattern Recognition (Level 11)
|
10
|
INFR11062
|
Machine Translation (Level 11)
|
10
|
INFR11008
|
Neural Computation
|
10
|
INFR11035
|
Neural Information Processing
|
10
|
INFR11061
|
Natural Language Understanding (Level 11)
|
10
|
INFR11050
|
Probabilistic Modelling and Reasoning
|
10
|
INFR11010
|
Reinforcement Learning
|
10
|
INFR11091
|
Robot Learning and Sensorimotor Control
|
10
|
INFR11100
|
Text Technologies for Data Science
|
10
|
INFR11104
|
Semantic Web Systems
|
10
|
INFR11092
|
Robotics: Science and Systems
|
20
|
INFR11086
|
Topics in Cognitive Modelling (Level 11)
|
10
|
INFR11113
|
Topics in Natural Language Processing
|
10
|
INFR11015
|
Applied Databases
|
10
|
INFR11125
|
Accelerated Natural Language Processing
|
20
|
INFR11119
|
Machine Learning Practical
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
Notes: These are AI courses at level 11 open to taught postgraduate students.
AND
Select
a minimum of 0 credits and maximum of 40 credits
from the following list of courses, as available
Notes: These are other level 11 courses open to taught postgraduate students.
AND
AND
AND
Select
a minimum of 0 credits and maximum of 20 credits
from
Level 11 courses in Schedules A to Q, T and W, as available
Notes: These are courses in all schools other than Medicine and Veterinary Studies. Note this includes courses within the School of Informatics.
|
Year 2, Academic year 2015/16, Starting month: September
Notes: Before making your course choices, make sure you have discussed them with your Personal Tutor. The dissertation requires a period of full-time study after the Semester 2 exams.
During both years of this programme: 1) students are required to take a minimum of 30 credits of Artificial Intelligence courses; 2) Students are permitted to take a maximum of 30 credits of courses that are below level 11 or not individually listed below.
COMPULSORY COURSES
This DPT has 2
compulsory course(s).
Code |
Course Name |
Period |
Credits |
INFR11071
|
Informatics Research Proposal |
As available |
20 |
|
INFR11077
|
MSc Dissertation (Informatics) |
As available |
60 |
|
COURSE OPTIONS
This DPT has 5
set(s) of course options with the following rules.
Overarching rule collection group: A
Select exactly 40 credits
from these collections:
Select
a minimum of 0 credits and maximum of 40 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
INFR11020
|
Algorithmic Game Theory and its Applications
|
10
|
INFR11069
|
Adaptive Learning Environments 1 (Level 11)
|
10
|
INFR11074
|
Automated Reasoning (Level 11)
|
10
|
INFR11033
|
Automatic Speech Recognition
|
10
|
INFR11067
|
Computer Animation & Visualisation (Level 11)
|
10
|
INFR11036
|
Computational Cognitive Neuroscience
|
10
|
INFR11021
|
Computer Graphics (Level 11)
|
10
|
INFR11017
|
Human-Computer Interaction (Level 11)
|
10
|
INFR11073
|
Machine Learning & Pattern Recognition (Level 11)
|
10
|
INFR11062
|
Machine Translation (Level 11)
|
10
|
INFR11008
|
Neural Computation
|
10
|
INFR11035
|
Neural Information Processing
|
10
|
INFR11061
|
Natural Language Understanding (Level 11)
|
10
|
INFR11050
|
Probabilistic Modelling and Reasoning
|
10
|
INFR11010
|
Reinforcement Learning
|
10
|
INFR11091
|
Robot Learning and Sensorimotor Control
|
10
|
INFR11100
|
Text Technologies for Data Science
|
10
|
INFR11104
|
Semantic Web Systems
|
10
|
INFR11092
|
Robotics: Science and Systems
|
20
|
INFR11086
|
Topics in Cognitive Modelling (Level 11)
|
10
|
INFR11113
|
Topics in Natural Language Processing
|
10
|
INFR11015
|
Applied Databases
|
10
|
INFR11125
|
Accelerated Natural Language Processing
|
20
|
INFR11119
|
Machine Learning Practical
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
Notes: These are AI courses at level 11 open to taught postgraduate students.
AND
Select
a minimum of 0 credits and maximum of 40 credits
from the following list of courses, as available
Notes: These are other level 11 courses open to taught postgraduate students.
AND
AND
AND
|
|