Biology Online Module Handbook

BL3320 Statistical and Quantitative Skills for Biologists

(BL3320 online module handbook version 43)

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. The pre-requisite of BL2300 is waived for bsc neuroscience students. *
Anti-requisite Modules:
*
Post-requisite Modules:
*
Additional Module Information:
Please check MMS regularly for additional module information


Biology Teaching Office:
The Biology Hive, New Technology Centre, University of St Andrews, North Haugh, St Andrews, Fife KY16 9SR

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
13-09-2018
10:00 to 17:00
Physics Building
Lecture Theatre B
Prof Will Cresswell

Lecture L1: Modelling and data analysis
2018-9_BL3320_L1
Compulsory; Breaks throughout the day
Friday
14-09-2018
10:00 to 13:00
Mathematical Institute
Tutorial Room 1A
Prof Will Cresswell

Workshop W1: Setting up laptops and Macs for R
2018-9_BL3320_W1
OPTIONAL drop in for new and unconfident users of R

Semester 1: Week 1

DATE & TIMEVENUESTAFFEVENT
Monday
17-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P1: Introductory workshop
2018-9_BL3320_P1
Compulsory
Tuesday
18-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P2: Introductory workshop
2018-9_BL3320_P2
Compulsory
Wednesday
19-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P3: Introductory workshop
2018-9_BL3320_P3
Compulsory

Semester 1: Week 2

DATE & TIMEVENUESTAFFEVENT
Monday
24-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Monica Arso Civil

Practical P4: General Linear modelling and plotting
2018-9_BL3320_P4
Compulsory
Tuesday
25-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Monica Arso Civil

Practical P5: General Linear modelling and plotting
2018-9_BL3320_P5
Compulsory
Wednesday
26-09-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Monica Arso Civil

Practical P6: General Linear modelling and plotting
2018-9_BL3320_P6
Compulsory

Semester 1: Week 3

DATE & TIMEVENUESTAFFEVENT
Monday
01-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P7: Chi-squared tests
2018-9_BL3320_P7
Compulsory
Tuesday
02-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P8: Chi-squared tests
2018-9_BL3320_P8
Compulsory

Semester 1: Week 4

DATE & TIMEVENUESTAFFEVENT
Monday
08-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P9: GLM: further practice
2018-9_BL3320_P9
Compulsory
Tuesday
09-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P10: GLM: further practice
2018-9_BL3320_P10
Compulsory

Semester 1: Week 5

DATE & TIMEVENUESTAFFEVENT
Monday
15-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P11: Data presentation
2018-9_BL3320_P11
Compulsory
Tuesday
16-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P12: Data presentation
2018-9_BL3320_P12
Compulsory
Wednesday
17-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P13: Data presentation
2018-9_BL3320_P13
Compulsory

Semester 1: Week 7

DATE & TIMEVENUESTAFFEVENT
Monday
29-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Jacqueline Nairn

Practical P14: Enzyme kinetic data analysis
2018-9_BL3320_P14
Optional workshop
Tuesday
30-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Jacqueline Nairn

Practical P15: Enzyme kinetic data analysis
2018-9_BL3320_P15
Optional workshop
Wednesday
31-10-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Graeme Ruxton

Practical P16: Chi-squared tests
2018-9_BL3320_P16
Compulsory
Thursday
01-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Prof Will Cresswell

Practical P17: GLM: further practice
2018-9_BL3320_P17
Compulsory

Semester 1: Week 8

DATE & TIMEVENUESTAFFEVENT
Monday
05-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Michael Morrissey

Practical P18: Generalised linear modelling
2018-9_BL3320_P18
Optional workshop
Tuesday
06-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Michael Morrissey

Practical P19: Generalised linear modelling
2018-9_BL3320_P19
Optional workshop

Semester 1: Week 9

DATE & TIMEVENUESTAFFEVENT
Monday
12-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr V Anne Smith

Practical P20: Multiple Dependent Variables
2018-9_BL3320_P20
Optional workshop
Tuesday
13-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr V Anne Smith

Practical P21: Multiple Dependent Variables
2018-9_BL3320_P21
Optional workshop

Semester 1: Week 10

DATE & TIMEVENUESTAFFEVENT
Monday
19-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Carolin Kosiol

Practical P22: Biomolecular curve fitting with ggplot
2018-9_BL3320_P22
Optional
Tuesday
20-11-2018
14:00 to 17:00
Bute Building
Bute Computer Suite
Dr Carolin Kosiol

Practical P23: Biomolecular curve fitting with ggplot
2018-9_BL3320_P23
Optional

Semester 1: Week 11

DATE & TIMEVENUESTAFFEVENT
Tuesday
27-11-2018
14:00 to 16:00
Bute Building
Lecture Theatre A
Prof Will Cresswell

Lecture L2: Interpreting GLM tables
2018-9_BL3320_L2
Compulsory

Semester 1: Week 12

DATE & TIMEVENUESTAFFEVENT
Tuesday
04-12-2018
14:00 to 16:00
Bute Building
Lecture Theatre A
Prof Will Cresswell

Lecture L3: Revision lecture
2018-9_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: Assessment

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

Assessment:
Workshop week 4
Due by:
02/11/2018 23:59
Feedback due by:
09/11/2018 23:59
Type:
Turnitin
Weight:
1%
Assessment:
Workshop week 7
Due by:
02/11/2018 23:59
Feedback due by:
09/11/2018 23:59
Type:
Turnitin
Weight:
1%
Assessment:
Workshop week 8
Due by:
09/11/2018 23:59
Feedback due by:
16/11/2018 23:59
Type:
Single Upload
Weight:
1%
Assessment:
Workshop week 9
Due by:
16/11/2018 23:59
Feedback due by:
23/11/2018 23:59
Type:
Single Upload
Weight:
1%
Assessment:
Workshop week 10
Due by:
23/11/2018 23:59
Feedback due by:
30/11/2018 23:59
Type:
Single Upload
Weight:
1%

(MMS assessment data cached: 17 November 2018 23:20:12.)


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:

The Biology Hive, New Technology Centre, University of St Andrews, North Haugh, St Andrews, Fife KY16 9SR

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 Monica Arso CivilDr Monica Arso CivilPost-Doctoral Research Fellowmac64@st-andrews.ac.uk
Prof Will CresswellProf Will Cresswell
(Module Organiser)
Professor of Biologywrlc@st-andrews.ac.uk
Dr Carolin KosiolDr Carolin KosiolLecturerck202@st-andrews.ac.uk
Dr Michael MorrisseyDr Michael MorrisseyResearch Fellowmbm5@st-andrews.ac.uk
Dr Jacqueline NairnDr Jacqueline NairnSenior Lecturer 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)