2022/23 Undergraduate Module Catalogue
BIOC1303 Introductory Biochemistry: Problem Solving and Data Handling
20 creditsClass Size: 110
Module manager: Dr David Brockwell
Email: D.J.Brockwell@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2022/23
Pre-requisite qualifications
Normal U/G entry requirementsCo-requisites
BIOC1301 | Introductory Integrated Biochemistry: the Molecules and Proc |
BIOC1302 | Introductory Biochemistry: Practical Skills |
This module is not approved as a discovery module
Objectives
This tutorial-based module is designed to increase your ability and confidence in handling and evaluating quantitative data, to reinforce your knowledge about the subject and foster skills in communicating and presenting information.Learning outcomes
At the end of the module students will be able to:
1. Demonstrate an appreciation of the approaches used to study biochemical processes;
2. Understand the use of a range of biochemical laboratory equipment and practical techniques and the data generated;
3. Feel confident in the handling of numerical data and simple mathematical transformations thereof.
Skills outcomes
Managing Knowledge - Sourcing / selecting / interpreting data; Data evaluation / problem solving.
Technical Competence - Experimental design; Accuracy; Analysing data; IT skills.
Managing Self - Planning; Time management.
Managing Interrelationships - Teamwork; Decision taking; Learning from others; Sharing; Receiving critique.
Presentation Skills - Written reports; computer-mediated communication, electronic submission of reports
Syllabus
The course will consist of 20 small group tutorials to develop the students' ability to (i) handle, transform and interpret numerical data, and (ii) interpret experimental results in order to solve biochemical problems.
Each tutorial will be centred around a biochemical problem based on a topic covered in BIOC1301 or BIOC1302. Through the series of tutorials, students will gain confidence in handling numbers and the use of common graphing software and enhance their teamwork and presentation skills.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Tutorial | 20 | 1.00 | 20.00 |
Private study hours | 180.00 | ||
Total Contact hours | 20.00 | ||
Total hours (100hr per 10 credits) | 200.00 |
Private study
20 x 5 hours preparation for tutorials30 hours on-line practice and learning
50 hours prep for exams
Opportunities for Formative Feedback
Continuous in tutorials.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
In-course Assessment | 8 x Data handling problems; These include 5 tutor marked (each worth 5%); and 3 on-line tests (each worth 5%) | 40.00 |
Total percentage (Assessment Coursework) | 40.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Online Time-Limited assessment | 3 hr | 60.00 |
Total percentage (Assessment Exams) | 60.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 05/04/2023 13:36:26
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD