2017/18 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 2017/18

Pre-requisite qualifications

Normal U/G entry requirements

Co-requisites

BIOC1301	Introductory Integrated Biochemistry: the Molecules and Proc
BIOC1302	Introductory Biochemistry: Practical Skills

This module is mutually exclusive with

BIOL1101	Bioscience 1
BIOL1201	The Biochemistry of Cells and Organisms

Module replaces

BIOC1015, BIOC1030 and BIOC1234

This module is not approved as a discovery module

Objectives

To provide training in analysis of numerical data, problem solving, teamwork and presentation skills.

Learning outcomes
At the end of the modules students will be able to:
- demonstrate an appreciation of the approaches used to study biochemical processes;
- understand the use of a range of biochemical laboratory equipment and practical techniques and the data generated;
- 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 tutorials
30 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	40.00
In-course Assessment	Formative data handling problems	0.00
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
Standard exam (closed essays, MCQs etc)	2 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 website

Last updated: 09/03/2017

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