Teaching Responsibility
LJMU Schools involved in Delivery:
Biological and Environmental Sciences
Learning Methods
Lecture
Tutorial
Workshop
Module Offerings
4201NATSCI-SEP-CTY
Aims
To enable students to develop a range of academic, research and transferable skills related to their programme of study.
Module Content
Outline Syllabus:Three broad themes are covered: ‘scientific communication’; ‘statistical data analysis, data handling and presentation’; ‘careers and employability’.
The ‘Scientific communication’ theme includes an introduction to ‘the scientific literature’ and how science is communicated; how to search for, access and understand scientific information; how to think critically when approaching scientific information; how to organize and present fully referenced information in a formal scientific style suitable for a scientific publication.
The ‘Statistical data analysis, data handling and presentation’ theme includes an introduction to aspects of data handling (e.g. tabulation, data cleaning), summarizing (e.g. descriptive statistics, data distributions), presentation (e.g. plotting and understanding graphs), study design and statistical analysis (e.g. testing for differences in independent or paired continuous data, testing for correlation or association among continuous or categorical variables, goodness of fit of categorical data). The concept of 'Big Data' in the biosciences is introduced, and the advantages and challenges of handling and analysing very large datasets.
The ‘Careers and Employability’ theme involves self-reflection on skills, qualities and motivations relevant to future careers and employability.
Module Overview:
This module aims to develop your research skills and covers problem solving, scientific writing, data handling and statistical analysis.
This module aims to develop your research skills and covers problem solving, scientific writing, data handling and statistical analysis.
Additional Information:This module aims to develop the fundamental research skills of students on biological sciences degree programmes. Aspects of these include accessing and understanding scientific information, critical thinking and study design, scientific writing and referencing, data handling and statistical analysis (including 'Big Data' approaches to analyse large datasets). In addition, information and self-reflection relevant to future careers and employability is covered.
Assessments
Practice
Report
Future Focus e-learning task
Report