Programme And Module Handbook
 
Course Details in


If you find any data displayed on this website that should be amended, please contact the Curriculum Management Team.

Module Title LH Experimental design, analysis & interpretation of biochemical data
SchoolSchool of Bioscience
Department School of Biosciences
Module Code 03 24258
Module Lead Dr Scott White
Level Honours Level
Credits 20
Semester Semester 1
Pre-requisites LI Proteins and Enzymes - (03 23326)
Co-requisites
Restrictions None
Contact Hours Lecture-14 hours
Practical Classes and workshops-34 hours
Guided independent study-152 hours
Total: 200 hours
Exclusions
Description

This biochemistry module integrates knowledge and skills acquired in earlier years and aims to develop related practical, data handling and interpretation skills and to stimulate a critical appreciation of the appropriate use of analytical methods in the main areas of biochemistry.

Learning Outcomes By the end of the module students should be able to:
  • Evaluate the criteria for the application of different experimental approaches
  • Have gained experience at (a) research laboratory skills, (b) drawing inferences from experimental observations and (c) subsequent experimental design;
  • Have developed critical reasoning and data interpretation skills and related quantitative skills
Assessment 24258-02 : Scientific Paper : Coursework (50%)
24258-04 : Examination : Exam (School Arranged) - Computer-based (50%)
Assessment Methods & Exceptions Assessments: One summative continuous assessed element (45%):Writing a scientific paper, formatted for an international biochemical journal, reporting the findings of a mini research project and discussing results in the context of the scientific literature
Exam (55%) (Main or Supplementary Periods) A 3 hour exam paper consisting of two sections:Section A: (40% weighting) Data Interpretation – MCQ questions testing the understanding and interpretation of a scientific paper. The scientific paper used in the assessment is released to students prior to the exam. Students may bring an annotated paper copy of the paper to the exam.Section B: (60% weighting) Data Handling – Quantitative questions on the topics taught in the data-handling workshops and associated lectures and activities. All questions will be compulsory
Other
Reading List