BIOC40080

Learning Outcomes:

On completion of this module, students should be able to:
1. Process experimental data and solve numerical problems in biochemistry.
2. Demonstrate skills using data analysis programmes, in particular GraphPad Prism and Excel.
3. Demonstrate application of relevant statistical methods and use statistical analysis to interpret experimental data.
4. Apply appropriate data analysis strategies to research problems and experimental approaches in biochemistry and molecular biology.

Indicative Module Content:

Student Effort Hours:

Approaches to Teaching and Learning:

Requirements, Exclusions and Recommendations

knowledge of biochemical and molecular biology techniques
prior exposure to analysis and interpretation of experimental data

Module Requisites and Incompatibles

Assessment Strategy

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

1. Prior to Assignment 1, students select data set and complete formative assignment activities. The formative student submissions will be discussed in dedicated class tutorial sessions. 2. For Assignment 2, students will work on their data analysis problems during a tutorial session, during which questions will be answered and feedback will be given by lecturers and teaching assistants (demonstrators) . 3. The individual assignments will be graded and feedback provided to individual students via VLE. 4. Upon request, students receive individual feedback on the final exam.