Search our site
Search our site

Scientific and Laboratory Skills

  • Module code: LS4003
  • Year: 2018/9
  • Level: 4
  • Credits: 30
  • Pre-requisites: Appropriate level 3 Science qualification
  • Co-requisites: None

Summary

This first year module is a core module for all Bioscience and Forensic Science programmes, and provides a firm foundation in general scientific and laboratory skills that students require to successfully complete their programmes of study.  Students are introduced to the nature of studying in higher education, the need for effective time management and planning of work, the appropriate use of information sources, and to sources of information relating to careers in the biosciences.  Scientific analytical and lab/practical skills are developed, together with essential mathematics and statistical skills for life scientists.  A significant component of the module consists of the development of basic research skills such as practical skills in the laboratory, the principles of experimental design and the statistical analysis of data.

Aims

  • To enable students to become effective independent learners;
  • To equip students with essential mathematical, statistical and computing skills;
  • To develop students' ability to locate, analyse and present scientific information and data;
  • To develop students' ability to perform practical laboratory skills safely, accurately and reproducibly.

Learning outcomes

On successful completion of the module, students will be able to:

  • Manage their time to become effective independent learners;
  • Exhibit competence in basic numeracy and scientific calculations, and to statistically analyse and interpret data;
  • Use word processing and spreadsheet packages to present text, graphics and data competently;
  • Perform key laboratory practical skills competently and safely;
  • Locate contemporary research publications both in text and electronic format;
  • Explain the theory behind biological experimental design, carry out basic laboratory procedures safely and accurately, and demonstrate the application of good laboratory practice.

Curriculum content

Generic study skills:

  • Time management and planning - use of university information systems; planning and time management of work; planning revision.
  • Independent study - Learning Resource Centre (LRC) resources, research databases, and independent reading.  Use of reference sources.
  • Feedback and how to use it - forms of feedback and reflection on personal academic development.
  • Awareness of employment opportunities, career information sources and events, and identification of relevant key skills developed during the year.
  • Exam preparation, revision and technique.

Maths, computing and data presentation:

  • Foundation mathematics and information technology for the biosciences; accuracy; standard powers of 10; scientific notation.
  • Probability, concentrations and dilutions, rates of reaction
  • Mathematical models in the biosciences; exponential growth/decay and transformation of data, including logarithms
  • Use of spreadsheets for graph plotting and interpretation, model simulation
  • Scientific communication
  • Referencing, plagiarism and collusion Identifying appropriate research literature sources, use of information technology and the internet.

Experimental design, basic statistics and SPSS:

  • Asking questions and developing hypotheses.
  • Understand the design of basic experiments (e.g. variation, sampling and the need for replication; randomisation and blocking).
  • Introduction to statistical software.
  • Statistical tests: types of data and the normal distribution, descriptive statistics, t-tests, correlation.

Laboratory skills:

  • Introduction to COSHH regulations and good laboratory practice.
  • Molar calculations, dilutions and conversion of units
  • Precision and accuracy in the laboratory.
  • Colorimetry - Beer-Lambert's Law.
  • Safe handling of microorganisms.
  • Basic separation techniques.

Teaching and learning strategy

Teaching is delivered through formal lectures, informal seminars/tutorials, computer workshops and laboratory practical classes to provide all students with essential theory and practice.  Students are also expected to carry out various exercises to reinforce their learning, and progress is reviewed in informal seminar classes/tutorials.  Discussion and reflection on students' progress, including awareness of academic and employability skills takes place in seminars and forms the basis of a self-reflection log, which is discussed with personal tutors.  In addition, teaching is supported through the provision of online materials for students to access.  A significant component of the module comprises laboratory classes to equip students with good laboratory practice and basic laboratory techniques, along with computer workshops to develop students' skills with statistics and associated computer software. Students will be expected to integrate the range of skills learned during the module in the preparation of assessed work. 

Breakdown of Teaching and Learning Hours

Definitive UNISTATS Category Indicative Description Hours
Scheduled learning and teaching Lectures (40h), workshops (6h), tutorials/seminars (10h), laboratory classes (12h) 68
Guided independent study Student independent study 232
Study abroad / placement
Total (number of credits x 10) 300

Assessment strategy

Summative assessment is through the submission of a self-evaluation and reflection log, a portfolio of small, 'open-book' on-line tests, and an end-of-year practical laboratory test.  The self-reflection log is completed throughout the year by students and is discussed periodically with their personal tutors. The development of mathematics and statistics skills is reviewed through the use of a series of formative exercises that monitor student progress and provide feedback on performance. Students are expected to develop skills learnt throughout the module in laboratory techniques and good practice, numeracy, data presentation and analysis, locating research literature information and referencing, and apply these during the summative end-of-year laboratory practical test and a portfolio of small on-line tests.. More specifically, the laboratory practical test will assess technical skills competence while the portfolio of small tests will typically cover 1) referencing and plagiarism, 2) maths, computing and data presentation and 3) experimental design, basic statistics and SPSS.

Formative assessment will be used to monitor student progress and to provide feed-forward in preparation for summative assessments. Feedback on laboratory skills performance and how to improve upon these will be provided to students during the practical sessions and practical tutorials.

In summary, summative assessments contribute the following proportions of the module marks:

Self-evaluation and reflective log                                            5%

Portfolio (collection of small tests)                                          35%

Laboratory Practical test                                                         60%

Mapping of Learning Outcomes to Assessment Strategy (Indicative)

Learning Outcome Assessment Strategy
1) Manage their time to become effective independent learners Completion of all summative assessments; reviewed in self-reflection log
2) Exhibit competence in basic numeracy and scientific calculations, and to statistically analyse and interpret data Portfolio of online tests (S) and laboratory practical test ( S)
3) Use word processing and spreadsheet packages to present text, graphics and data competently Laboratory practical test (S)
Perform key laboratory practical skills competently and safely Practical attendance and laboratory practical test (F, S)
5) Locate contemporary research publications both in text and electronic format Online test (S)
6) Explain the theory behind biological experimental design, carry out basic laboratory procedures safely and accurately, and demonstrate the application of good laboratory practice Laboratory practical test (S)

Elements of Assessment

Description of Assessment Definitive UNISTATS Categories Percentage
End of year laboratory practical exam Practical Exam 60%
Self-Evaluation and Reflection log Coursework 5%
Portfolio (collection of small on-line tests) Coursework 35%
Total (to equal 100%) 100%

Achieving a pass

It IS NOT a requirement that any major element of assessment is passed separately in order to achieve an overall pass for the module.

Bibliography core texts

Most recent editions of:

Johnson S & Scott J. Study & Communication Skills for the Biosciences.  Oxford: Oxford University Press.

Weyers J, Reed R, Jones A & Holmes D. Practical Skills in the Biomolecular Sciences.  Harlow: Pearson Education.

Bibliography recommended reading

Recommended Reading:

Bonner PLR & Hargreaves AJ.  Basic bioscience laboratory techniques: a pocket guide. Oxford: John Wiley & Sons.

Bryson E and Willis J. Foundation Mathematics for Biosciences with MyMathLab: A Guide for Biological and Biomedical Sciences. Harlow: Pearson Education.

Ennos R. Statistical and Data Handling Skills in Biology 3rd Ed. Harlow: Pearson Education.

MacMillan K & Weyers J. The Smarter Study Skills Companion. Harlow: Pearson Education.

Meah MS & Kebede-Westhead E.  Essential laboratory techniques for biosciences.  Chichester: John Wiley & Sons.

Find a course

Course finder

Find a course
>