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Module - LIFE3020 - Data Analysis
ProgrammeSoLS - Life Sciences Modules Database (Level 3)
C720 - B.Sc. Hons. Biochemistry and Biological Chemistry (Part 2 - Compulsory)
C721 - M.Sci. Hons. Biochemistry and Biological Chemistry (Part 2 - Compulsory)
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Accrediting Bodies
Module CodeLIFE3020
Credits10
Total Credits:
 
10.00
 
Level:
 
3
 
Target Students:
 
Available only to 3rd year students registered for a degree in Biochemistry and Biological Chemistry
 
Summary Of Content:

The module will have 2 main strands of activity to equip students with skills for their study now, and transferable skills for future employability. i) A dissertation to enhance scientific thinking and writing ii) Public understanding of science 

 
 
 
TypeLink
Other
 
 

This module is designed to improve the presentation skills of the students and to help them learn effective ways of communicating information. This module also aims to improve students' numerical and deductive skills and to enable them to make a critical analysis of biochemical data.

 
Education Aims:
 
Offering School:
 
Life Sciences
 
Convenor:
 
 
 
Name
Dr Ian Derek Kerr
 
 
 
 
Semester
Full Year UK
 
 
 
Requisites:
 
 
 
SubjectCourse Title
LIFE2008
Laboratory Analysis of Proteins & Enzymes
LIFE2037
Principles and Analysis of Gene Function
 
 
Additional Requirements:
 
 
 
Condition
Only available for students studying Biochemistry & Biological Chemistry
Only available for UNUK/Level '03' students
 
 
Method and Frequency of Class:
 
 
 
ActivityNumber of WeeksNumber of sessionsDuration of a session
Lecture
1 week
1 week
1 hour
Tutorial
6 weeks
1 week
1 hour
Workshop
4 weeks
1 week
2 hours
 
   
 
Method of Assessment:
 
Assessment TypeWeightRequirements
Coursework 1
75.00
Preparation of a critical review (2,500 words)
Coursework 4
25.00
Public Communication of Science (1,000 words)
 
   
 
Assessment Period:
 
Assessed by end of Spring Semester
 
     
 
Learning Outcome:
 

Knowledge and understanding: Students will be able to: demonstrate that they can present scientific data in a clear and concise way; utilise the different techniques that are required in communicating information using oral and paper methods; Transferable skills: Problem solving; numerical; critical analysis of research data; communication. 

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