Programmes 2022/23

4BDS1 - BA Data Science

Please note that these timetables do not necessarily show all of the module activities. Students should refer to the module Blackboard page or the lecturer for more detailed information on tutorials and practicals.

Timetable 2022/23, Semester 1.

Mon Tue Wed Thu Fri
09:00
10:00
ST313 Applied Regression Models [AC202]
Dr Haixuan Yang
11:00
CS4102 Geometric Foundations in Data Analysis I [ADB-1020]
Prof. Götz Pfeiffer
ST313 Applied Regression Models [AC201]
Dr Haixuan Yang
12:00
13:00
ST417 Introduction to Bayesian Modelling [ADB-1020]
Dr Andrew Simpkin
14:00
MA341 Metric Spaces [MRA201]
Prof. Aisling McCluskey
ST417 Introduction to Bayesian Modelling [ADB-1020]
Dr Andrew Simpkin
15:00
CS4102 Geometric Foundations in Data Analysis I [ADB-1020]
Prof. Götz Pfeiffer
MA341 Metric Spaces [AC202]
Prof. Aisling McCluskey
16:00
17:00
18:00
19:00
20:00

Timetable 2022/23, Semester 2.

Mon Tue Wed Thu Fri
09:00
CS319 Scientific Computing [PC Suite, Ground Floor, Block E]
Dr Niall Madden
CS4423 Networks [McMunn]
Dr Angela Carnevale
10:00
CS4103 Geometric Foundations in Data Analysis II [AC203]
Dr Emil Sköldberg
CS4103 Geometric Foundations in Data Analysis II [AC203]
Prof. Graham Ellis
11:00
ST4140 Modern Statistical Methods [ADB-1020]
Dr Andrew Simpkin
12:00
MA342 Topology [McMunn]
Prof. Graham Ellis
MA342 Topology [ENG-G018]
Prof. Graham Ellis
13:00
14:00
ST4140 Modern Statistical Methods [ADB-1020]
Dr Andrew Simpkin
CS4423 Networks [Larmor]
Dr Angela Carnevale
15:00
CS4103 Geometric Foundations in Data Analysis II [IT125]
Dr Emil Sköldberg
CS4103 Geometric Foundations in Data Analysis II [IT125]
Prof. Graham Ellis
ST4120 Causal Inference [McMunn LT]
Dr Nicola Fitz-Simon
16:00
CS319 Scientific Computing [PC Suite, Ground Floor, Block E]
Dr Niall Madden
ST4120 Causal Inference [AMB-G010]
Dr Nicola Fitz-Simon
17:00
18:00
19:00
20:00