Teaching Responsibility
LJMU Schools involved in Delivery:
Biological and Environmental Sciences
Learning Methods
Lecture
Tutorial
Workshop
Module Offerings
3401FNDSCI-SEP-CTY
Aims
To enable students to develop a range of academic, research and transferable skills
related to their programme of study.
To cover a selection of topical subjects in biology, chemistry and
related areas of natural sciences.
Learning Outcomes
1.
Demonstrate an understanding of selected topical issues in biology, chemistry and other natural sciences.
2.
Recognise scientific approaches and how to apply them in order to solve problems.
3.
Convert raw data to results, apply appropriate descriptive statistics and present data in suitable graphical and tabular form.
4.
Demonstrate familiarity with basic IT software to produce documents, spreadsheets and presentations of an appropriate standard.
Module Content
Outline Syllabus:A series of lectures in chemistry, biology and other natural science topics. The range of subjects covered will be varied to reflect the interests of individual staff members.
Written communication: report writing, reviewing scientific literature
Numerical reasoning: data handling and presentation (e.g. graphs, maps, databases, big data) and descriptive statistics (normality testing, mean, SD, median and mode, etc.). Logs, mathematical functions, formulae.
Information literacy & ICT skills: Canvas, tabulation, graphics, email, internet, images, hyperlinks, presentation software, analytical software, big data, machine learning/AI concepts.
Module Overview:
This module aims to develop your basic knowledge and research skills and covers scientific perspectives, writing, data handling and statistical analysis.
This module aims to develop your basic knowledge and research skills and covers scientific perspectives, writing, data handling and statistical analysis.
Additional Information:This module aims to develop the basic knowledge and research skills of students on Natural Science programmes. Areas covered include scientific perspectives, writing, data handling and statistical analysis.