O
N
Lecture, Wks 6-10, 12-16
GI02 Unsupervised Learning
Ghahramani
Gatsby Unit, 4th Floor, Alexandra House
Lecture, Wks 6-10, 12-16
4C55 Supervised Learning, GI01 Supervised Learning
Pontil
Gordon Square (24), Room 105
U
E
S
D
A
Y
Lecture, Wks 6-10, 12-16
4C59 Information Theory, GI12 Information Theory
Smith
MPEB 1.20
NB The final lecture (on 13 Dec) will be held in Bentham House Seminar Room 1)
Lecture, Wks 6-10
4012 Research Methods, GI03 Programming and Management Issues
Alexander, Herbster
Engineering 309
Wks 6-10
4012 Research Methods, GI03 Programming and Management Issues
Alexander, Herbster
MPEB 1.05, MPEB 4.04
The organisation of lab sessions associated with this course will be explained
Wks 6-10
4012 Research Methods, GI03 Programming and Management Issues
Alexander, Herbster
MPEB 1.05, MPEB 1.21, MPEB 4.04
The organisation of lab sessions associated with this course will be explained
Practical Lab, Wks 14-15
GI04 Pattern Recognition and Machine Vision
Prince
MPEB 4.06
E
D
Wks 12-16
GI09 Intelligent Systems in Business
Brown
MPEB 1.13
H
U
Lecture, Wks 6-10, 12-16
3006 Advanced Mathematical Methods
Page, Prince
MPEB 1.03
Non assessed option for MSc VIVE and MSC IS
Lecture, Wks 6-10, 12-16
GI02 Unsupervised Learning
Ghahramani
Gatsby Unit, 4th Floor, Alexandra House
Lecture, Wks 6-10, 12-16
4C75 Pattern Recognition and Machine Vision, GI04 Pattern Recognition and Machine Vision
Buxton, Prince
Darwin Biochemistry LT
R
I
Lecture, Wks 6-10, 12-16
3006 Advanced Mathematical Methods
Page, Prince
MPEB 1.02
Non assessed option for MSc VIVE and MSC IS
Practical Lab, Wks 6-10, 12-16
4C75 Pattern Recognition and Machine Vision, GI04 Pattern Recognition and Machine Vision
Buxton, Prince
MPEB 1.21
Lecture, Wks 6-10, 12-16
3006 Advanced Mathematical Methods
Page, Prince
Lankester Lecture Theatre
Non assessed option for MSc VIVE and MSC IS
Practical Lab, Wks 6-10, 12-16
4C75 Pattern Recognition and Machine Vision, GI04 Pattern Recognition and Machine Vision
Buxton, Prince
MPEB 1.05