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Experimental Biochemistry (BIOC0003)

Key information

Faculty
Faculty of Life Sciences
Teaching department
Division of Biosciences
Credit value
30
Restrictions
This module is compulsory for and restricted to year 1 Biochemistry students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module gives an introduction to techniques and approaches that are used to investigate biochemical problems, together with their underlying principles. It is also designed to give experience in practical work, data science, programming, calculation, and reading scientific papers. Specific areas that are covered include pH; basic spectroscopy; mass spectrometry, NMR and X-ray methods; statistical methods; protein purification and assays; molecular biology methods; bioinformatics and homology modelling.

In addition to the lecture programme students take part in fortnightly tutorials in small groups of between 4 and 6 students. The tutorial programme will complement the lecture series and includes various problem solving exercises as well as reading current literature. In addition you will explore current research topics, give oral presentations, interview academics about their research and write essays for your tutor.

Illustrative lecture schedule (based on 2023/24 topics)

Introduction to the module
pH, pKa, buffers
Introduction to scientific computing
Command line Python programming
Reading scientific papers
Referencing
Experimental design
Statistics
Bioinformatics
Applications of Molecular Biology
Introduction to spectroscopy
Purifying proteins
Homology modelling
Mass spectrometry
Methods for determining macromolecular structure and interactions
Omics

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Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 2 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
70% Coursework
30% Exam
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
107
Module leader
Professor Andrea Townsend-nicholson
Who to contact for more information
a.townsend-nicholson@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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