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Advanced computational methods (MEDC0124)

Key information

Faculty
Faculty of Medical Sciences
Teaching department
Division of Medicine
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module is an introduction to the application of advanced computational methods (algorithmic and AI) for biological data analysis (diagnosis and discovery) and dealing with large data arrays.

The focus will be on advanced computational methods in Genomics, Transcriptomics and Proteomics, with added emphasis on sequence collection, comparison and interpretation.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
40% In-class activity
60% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
14
Module leader
Dr Horia Stanescu
Who to contact for more information
h.stanescu@ucl.ac.uk

Intended teaching term: Term 2 听听听 Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
40% Fixed-time remote activity
60% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Dr Horia Stanescu
Who to contact for more information
h.stanescu@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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