Module Information

Module Identifier
BR32110
Module Title
Data-Handling for Biochemists
Academic Year
2016/2017
Co-ordinator
Semester
Semester 1
Pre-Requisite
External Examiners
  • Dr Mark Paget (Reader - University of Sussex)
 
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 11 x 2 Hour Lectures
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Essay.  25%
Semester Assessment Poster.  25%
Semester Assessment Data handling problems.  50%
Supplementary Assessment Students must take elements of assessment equivalent to those that led to failure of the module.  100%

Learning Outcomes

On successful completion of this module students should be able to:

1. Research and present reasoned arguments within a logical and engaging structure.

2. Manipulate and utilise mathematical equations to enable extraction of common biochemical parameters.

3. Explain the significance of biochemical concepts and parameters to non-biochemists.

4. Prepare a variety of media that communicates scientific principles to non-scientists.

Brief description

The module will provide students with the opportunity to research and implement methods of problem solving in biochemistry. In addition to data-handling problems requiring appropriate processing of raw data to derive common biochemical parameters, students will be asked to find, interpret and re-present data as (i) an essay written for a non-scientist, and (ii) a poster aimed at a 6th form biology/chemistry classroom

Content

The module comprises up to 9 x 2 hr sessions.
In the first session, students are led through a discussion regarding the communication of science through the written word, particularly focusing on the structuring of arguments.
For subsequent session students are expected to have attempted to solve a variety of biochemical data analysis problems using mathematical arguments, which are then discussed in each session.

Module Skills

Skills Type Skills details
Application of Number A significant component of the module through data-handling problems
Communication This module is focused on communicating research to both general and scientific audiences
Improving own Learning and Performance Improvement of student-centered learning, communication and teamwork
Information Technology Common desktop applications are required to produce media and solve mathematical problems
Personal Development and Career planning The aim of this module is to develop communication skills, that are key to enhancing employability
Problem solving This skill is a key component of the module, working out how to find, interpret, and summarise information and present it in an accessible format
Research skills This is a research based module that requires students to assimilate knowledge from academic literature
Subject Specific Skills Biochemical problem solving using numerical data and mathematical equations.
Team work

Notes

This module is at CQFW Level 6