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BIO4015 - Professional Skills

Objectives:

On successful completion of the module, students will be able to:

LO1 - Evidence competence in numeracy, IT, data handling and data analysis.

LO2 - Interpret knowledge of human diseases.

LO3 - Implement group working, communication and problem-solving skills.

LO4 - Demonstrate reflective skills for group activities.

Content:

This module centres on developing the professional competencies essential in the field of Biomedical Science, encompassing data analysis and interpretation, presentation of data, and an introduction to statistical analysis. Basic concepts of biophysics and chemistry relevant to Biomedical Science will also be covered, as well as exploring concepts of disease cohorts, bioinformatics and handling extensive datasets.

You will be required to take part in a University-wide Professional Challenge which will help develop your collaborative, communicative and problem-solving skills through a series of tasks presented by external organisations. During this activity, you will be grouped with peers from other academic courses.

The content of this module has been mapped to the IBMS QAA Benchmark requirements for:
- Discipline- and subject-specific skills associated with laboratory practice

- Research skills, including ethics, governance, audit, experimental design, data generation, statistical analysis, literature searching, and scientific communication

- Key transferable skills, including communication, IT, numeracy, and data analysis

- Bioinformatics and systems biology.

Learning and Teaching Information:

You will have 1 x 2 hr lecture sessions per week, which will be delivered to introduce various concepts regarding data and data analysis, as well as further concepts of bioinformatics and big data.
A total of 3 x 2 hr practical sessions will be given for the development of protocols and measurements for the subsequent analysis of the data generated.
A total of 2 x 2 hr computer laboratory sessions will be provided to investigate the applications of bioinformatics and big data.
A total of 10 x 1 hr tutorial sessions will support the lecture and practical content, assessments and general student wellbeing.
Professional challenge is a University-wide activity where local employers set challenges for students. Students will then be put into groups with students from other courses where they will work together to work on the challenge that they have chosen.

Lectures
Hours: 20
Intended Group Size: Full Cohort (40)

Practical sessions
Hours: 6
Intended Group Size: Full Cohort (40)

Computer lab sessions
Hours: 4
Intended Group Size: Full Cohort (40)

Tutorials
Hours: 10
Intended Group Size: Max 20

Professional Challenge
Hours: 20
Intended Group Size: Full Cohort (40)

Guided independent study
Hours: 90

Further details relating to assessment

Post-lecture, tutorial and practical session activities submitted through Moodle will facilitate ongoing formative assessment opportunities via lecturer or peer feedback.

The Integrated Practical Portfolio will include generating data from the Molecular Biochemistry and the Microbiology and Genetics modules. Using the skills acquired from this Professional Skills module, you will be expected to analyse, interpret and present your data as part of this integrated assessment.

In the Professional Challenge Reflection, you will reflect upon your involvement in the Professional Challenge, and how the experience can be applied to your future practice in a Biomedical Science setting. Participation in the Professional Challenge is a Pass/Fail component of the module.

You should refer to the Module Handbook for full details of marking criteria. Please note that assessment 002 must be passed, in line with university requirements.

Assessment:

001 Practical Portfolio; 1500 words; End of Semester 2 50%
002 Professional Challenge participation; Pass/Fail; End of Semester 2 %
003 Professional Challenge Reflection; 1500 words; End of Semester 2 50%

Fact File

Module Coordinator - Kerrie Smith
Level - 4
Credit Value - 15
Pre-Requisites - NONE
Semester(s) Offered - 4S2