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.
Learning Outcomes
1.
Understand the scientific method and the principles of good experimental design
2.
Use modern statistical tools to evaluate data, choose and apply appropriate analysis methods and interpret results
3.
Demonstrate understanding of scientific rigour and standards of good scholarly practice
4.
Demonstrate an understanding of the skills, attributes and experiences required for a career in the scientific sector or an alternative graduate role/sector.
5.
Apply the practices of reflection and self-analysis to career development and explore graduate careers that meet own aspirations.
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.
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.