Biology Online Module Handbook

BL3320 Statistical and Quantitative Skills for Biologists

(BL3320 online module handbook version 23)

cover image
Few biologists are statisticians or mathematicians, but all biologists use statistics and mathematics. This series of workshops is designed to build confidence in organising and analyzing data to address biological questions efficiently. The module will help you learn how to identify statistical and quantitative approaches, and how to manage and analyse data in a code driven statistical programming package. An introductory workshop will cover basic concepts and practical training that will be used in a choice of specific workshops that cover applications across the range of Biology.*

Credits: 10*

Semester: 1

Module Organiser
Prof Will Cresswell
wrlc@st-andrews.ac.uk
01334 463010
Pre-requisite Modules:
BEFORE TAKING THIS MODULE YOU MUST PASS BL2300. BEFORE TAKING THIS MODULE YOU SHOULD PASS BL2300*
Anti-requisite Modules:
None*
Post-requisite Modules:
BL4273*
Additional Module Information:
Please check MMS regularly for additional module information


Biology Teaching Office:
Room 1.17, Biomolecular Sciences Building, University of St Andrews, North Haugh, St Andrews, Fife KY16 9ST

Email: bioteach@st-andrews.ac.uk      Tel: 01334  463602

BL3320: Timetable

Legend (not all modules have every event type):
lecture
tutorial
workshop
practical
other

Semester 1: Week -1

DATE & TIMEVENUESTAFFEVENT
Thursday
14-09-2017
09:30 to 16:30
Mathematical Institute
Maths Lecture Theatre C
Prof Will Cresswell

Lecture L1: Modelling and data analysis
2017-8_BL3320_L1
Compulsory; Breaks throughout the day

Semester 1: Week 1

DATE & TIMEVENUESTAFFEVENT
Monday
18-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W1: Introductory workshop
2017-8_BL3320_W1
Compulsory
Tuesday
19-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W2: Introductory workshop
2017-8_BL3320_W2
Compulsory
Wednesday
20-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W3: Introductory workshop
2017-8_BL3320_W3
Compulsory

Semester 1: Week 2

DATE & TIMEVENUESTAFFEVENT
Monday
25-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Miguel Barbosa

Workshop W4: General Linear modelling and plotting
2017-8_BL3320_W4
Compulsory
Tuesday
26-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Miguel Barbosa

Workshop W5: General Linear modelling and plotting
2017-8_BL3320_W5
Compulsory
Wednesday
27-09-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Miguel Barbosa

Workshop W6: General Linear modelling and plotting
2017-8_BL3320_W6
Compulsory

Semester 1: Week 3

DATE & TIMEVENUESTAFFEVENT
Monday
02-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W7: Chi-squared tests
2017-8_BL3320_W7
Compulsory
Tuesday
03-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W8: Chi-squared tests
2017-8_BL3320_W8
Compulsory
Wednesday
04-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W9: Chi-squared tests
2017-8_BL3320_W9
Compulsory

Semester 1: Week 4

DATE & TIMEVENUESTAFFEVENT
Monday
09-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W10: Data presentation
2017-8_BL3320_W10
Compulsory
Tuesday
10-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W11: Data presentation
2017-8_BL3320_W11
Compulsory
Wednesday
11-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Workshop W12: Data presentation
2017-8_BL3320_W12
Compulsory

Semester 1: Week 5

DATE & TIMEVENUESTAFFEVENT
Monday
16-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W13: GLM: further practice
2017-8_BL3320_W13
Compulsory
Tuesday
17-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W14: GLM: further practice
2017-8_BL3320_W14
Compulsory
Wednesday
18-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Workshop W15: GLM: further practice
2017-8_BL3320_W15
Compulsory

Semester 1: Week 7

DATE & TIMEVENUESTAFFEVENT
Monday
30-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Jacqueline Nairn

Workshop W16: Enzyme kinetic data analysis
2017-8_BL3320_W16
Optional workshop
Tuesday
31-10-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Jacqueline Nairn

Workshop W17: Enzyme kinetic data analysis
2017-8_BL3320_W17
Optional workshop

Semester 1: Week 8

DATE & TIMEVENUESTAFFEVENT
Monday
06-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Michael Morrissey

Workshop W18: Generalised linear modelling
2017-8_BL3320_W18
Optional workshop
Tuesday
07-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Michael Morrissey

Workshop W19: Generalised linear modelling
2017-8_BL3320_W19
Optional workshop

Semester 1: Week 9

DATE & TIMEVENUESTAFFEVENT
Monday
13-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr V Anne Smith

Workshop W20: Multiple Dependent Variables
2017-8_BL3320_W20
Optional workshop
Tuesday
14-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr V Anne Smith

Workshop W21: Multiple Dependent Variables
2017-8_BL3320_W21
Optional workshop

Semester 1: Week 10

DATE & TIMEVENUESTAFFEVENT
Monday
20-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Miguel Barbosa

Workshop W22: Biomolecular curve fitting with ggplot
2017-8_BL3320_W22
Optional
Tuesday
21-11-2017
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Miguel Barbosa

Workshop W23: Biomolecular curve fitting with ggplot
2017-8_BL3320_W23
Optional

Semester 1: Week 11

DATE & TIMEVENUESTAFFEVENT
Tuesday
28-11-2017
14:00 to 16:00
Bute Building
Lecture Theatre A
Prof Will Cresswell

Lecture L2: Interpreting GLM tables
2017-8_BL3320_L2
Compulsory

Semester 1: Week 12

DATE & TIMEVENUESTAFFEVENT
Tuesday
05-12-2017
14:00 to 16:00
Irvine Building
Irvine Lecture Theatre
Prof Will Cresswell

Lecture L3: Revision lecture
2017-8_BL3320_L3
Optional lecture
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL3320: Reading List

Click for BL3320 reading list

BL3320: Assessment

2-hour Written Examination = 80%, Coursework = 20%*

Assessment:
Workshop week 5
Due by:
20/10/2017 23:59
Feedback due by:
03/11/2017 23:59
Type:
Single Upload
Weight:
33.33%
Assessment:
Workshop week 7
Due by:
03/11/2017 23:59
Feedback due by:
17/11/2017 23:59
Type:
Single Upload
Weight:
33.33%
Assessment:
Workshop week 8
Due by:
10/11/2017 23:59
Feedback due by:
24/11/2017 23:59
Type:
Single Upload
Weight:
33.33%
Assessment:
Workshop week 9
Due by:
17/11/2017 23:59
Feedback due by:
01/12/2017 23:59
Type:
Single Upload
Weight:
33.33%
Assessment:
Workshop week 10
Due by:
24/11/2017 23:59
Feedback due by:
08/12/2017 23:59
Type:
Single Upload
Weight:
33.33%

(MMS assessment data cached: 17 November 2017 23:20:14.)


The following related information applies to all Biology modules:

School of Biology Marking Criteria: See School of Biology Undergraduate Handbook
Late submission of continuous assessment work:

All late submissions of coursework that do not require electronic submission should be made via the late submissions box in the Biomolecular Science Building (beside the Teaching Office)
Exam details: See School of Biology Undergraduate Handbook
Exam timetable: see http://www.st-andrews.ac.uk/students/academic/examinations/examtimetablescurrent/
Expected attendance: See School of Biology Undergraduate Handbook for detailed attendance requirements.
Good Academic Practice & Avoiding Academic Misconduct: See School of Biology Undergraduate Handbook
University Student Handbook: University Student Handbook
School and University regulations in the School and University Undergraduate Handbook relating to absence reporting, penalties and rules for late submission of work, extensions for coursework, return of coursework, S-coding, good academic practice and Academic Alerts.: School of Biology Undergraduate Handbook University Student Handbook
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

Who to ask

(Information in this section applies to all Biology Modules)

Questions about different aspects of the module should be directed to different people:

Questions about Contact
General teaching matters Biology Teaching Office ( bioteach@st-andrews.ac.uk )
Rescheduled or cancelled events Check your University email
Lecture or practical content The lecturer who presented the material
Completing assessed practical assignments The lecturer who set the assignment
Completing assessments Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Marking on continuous assessment The Demonstrator or Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Marking on exams Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Rearranging practical days Grant Brown
Absence and/or extensions Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk) and the Biology Teaching Office ( bioteach@st-andrews.ac.uk )

Difficulties with academic progress which impact more than one module:

Year Coordinator

See School of Biology Undergraduate student handbook for list: http://biology.st-andrews.ac.uk/documents/UndergraduateHandbook.pdf

Overall performance, progress or future directions:

Advisor of Studies

Disability:

Disability Coordinator (Dr Jacqueline Nairn jn37@st-andrews.ac.uk)

Biology Teaching Office:

Room 1.17, Biomolecular Sciences Building, University of St Andrews, North Haugh, St Andrews, Fife KY16 9ST

Email: bioteach@st-andrews.ac.uk

Tel: 01334 463602

BL3320: Contributing Staff

Prof Will Cresswell

Prof Will Cresswell
(Module Organiser)

Professor of Biologywrlc@st-andrews.ac.uk
Dr Miguel BarbosaDr Miguel BarbosaVisiting Scholarmb334@st-andrews.ac.uk
Prof Will CresswellProf Will Cresswell
(Module Organiser)
Professor of Biologywrlc@st-andrews.ac.uk
Dr Michael MorrisseyDr Michael MorrisseyResearch Fellowmbm5@st-andrews.ac.uk
Dr Jacqueline NairnSenior Lecturer (Education Focused)jn37@st-andrews.ac.uk
Prof Graeme RuxtonProf Graeme RuxtonProfessorgr41@st-andrews.ac.uk
Dr V Anne SmithDr V Anne SmithSenior Lecturervas1@st-andrews.ac.uk
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL3320: Learning Outcomes

Students completing module BL3320 successfully should be able to:

  • Develop statistical training from the second year.
  • Continue statistical training so you become comfortable with General Linear Modelling and other commonly used statistical techniques to analyse data.
  • Practice organising and analysing data in R.
  • Learn and practice methods of data presentation and interpretation in R.
  • Gain experience of some more advanced statistical techniques in preparation for your quantitative 4th year project or post-graduate research.
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL3320: Acquired Skills

test

Practical Skills

  • Kinetic data analysis

Transferable Skills

  • Calculations/equations
  • Chi-square test
  • Concentrations
  • Data analysis
  • Data presentation
  • Deal with outliers
  • Decimal places
  • Descriptive statistics
  • Dilutions
  • Distinguish different types of data
  • Draw a line of best fit
  • Exponents
  • Generalised Linear Models
  • Likelihood
  • Linear regression
  • Logarithms
  • Non-linear fit
  • Other mathematical models
  • Produce graphs/figures
  • Scaling
  • SI units
  • Significant figures
  • Survival analysis
  • Two-way ANOVA
  • Use Excel
  • Use other data analysis software
  • Use R or R Studio
  • Volumes
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

Policies

(Information in this section applies to all Biology Modules)