Teaching Responsibility

LJMU Schools involved in Delivery:

Biological and Environmental Sciences

Learning Methods

Lecture
Online
Tutorial
Workshop

Module Offerings

5201NATSCI-SEP-CTY

Aims

To develop understanding of the principles of data analysis and the application of current statistical software and tools. To develop a clear understanding of suitable potential graduate careers and of a defined potential career plan.

Module Content

Outline Syllabus:Principles of experimental design; Data analysis including: data properties and test assumptions, data transformation, ANOVA, post-hoc tests and the problem of multiple comparisons, correlation, non-parametric tests, regression, general linear models, generalized linear models Employability and professional skills for science graduates: CV preparation, job applications, project management and enterprise skills. Career planning, including: self-reflection on personal motivations and aspirations; job sector and organisation research; job requirements and career progression including management roles; mapping skills, knowledge and experience; identifying professional strengths and weaknesses; professional development
Module Overview:
This module covers all aspects of handling and analysing scientific data and the development of employability/graduate skills. You will consider the fundamentals of analysing and interpreting scientific data using examples relevant to all biosciences. Additionally, it will allow you to prepare a better career plan in science, as well as becoming self-aware of your employability skills.
Additional Information:This module covers data properties and fundamental principles of handling and analysing scientific data using examples relevant to all biosciences. This module will also explore the employability and graduate skills and enable students to develop career plans and awareness of their own professional potential.

Assessments

Portfolio
Test
Portfolio