Objectives of Programme's Learning Outcomes

• Scientific skills
• Use acquisition and data analysis software specific to biomedical sciences
• Be familiar with biomedical science research tools, including bioinformatics tools.
• Master the statistical tools for life sciences
• Be a responsible researcher: - Know how to base their reasoning on data obtained from scientific literature. - Know how to integrate an ethical dimension in their reasoning. - Be loyal (to the facts, to the team, and to intellectual property). - Do not tamper with results. - Do not exploit the work of others. - Demonstrate experimental rigor.
• Professional integration skills
• Network, and use digital communication and collaboration tools
• In the digital age, be responsible for the mastery of their digital identity, and respect the rules on privacy and intellectual property
• Work independently: - Get organised, manage time and priorities, assess themself. - Master assessment methods. - Continue learning individually, prepare to educate themselves throughout life. - Demonstrate abstract thinking. - Be introduced to project management. - Show initiative.
• Demonstrate their ability to research, analyse and synthesise: - Research, analyse, use different sources of information and materials related to biomedical sciences, format them to draw up a summarised document, produced and broadcast them on digital media. - Carry out a study, identify and raise an issue in a predefined context, build and develop an argument, interpret the data and results, develop an overview, and propose extensions. - Question themselves, think critically, debate, and defend their ideas.
• Master written and oral scientific expression. Be independent in writing and show that they can communicate their thoughts, reason and organise their knowledge
• Make a presentation illustrating arguments adapted to the object, the circumstances and the public: speak in public
• Master scientific English: - Present scientific results, orally and in writing. - Answer scientific questions in English

Learning Outcomes of UE

From a selected publication, the goal is to explain to the students the integration of data collected with various methods used in genomic, transcriptomic, proteomic, and metabonomic.  At the end of this course, the students will be able to  :

- understand the importance of integrating data from various 'omics' sciences to evaluate a complex biological mechanism
- integrate and interprete "omics" data
- describe concepts and methods used in the acquisition of "omics" data

Content of UE

1. <u><strong>Metabonomics section</strong></u> (Professor Jean-Marie Colet):

- succesive steps in metabonomics analyses
- analysis of biofluids by proton Nuclear Magnetic Resonance
- Multivariate analysis of spectral data

2.<strong><u> Proteomics section </u></strong>: (Professor Rudy Wattiez)

-  mass spectrometry
- different steps of a proteomics study 


3.<u><strong> Gen<u>omics</u></strong></u><strong><u>/transcriptomics section</u> </strong>: (Professor Alexandra Belayew)
 
- microarrays (DNA and RNA analyses)
- high throughput sequencing

Prior Experience

fundamentals in molecular biology
spectroscopic methods and principles
basics in statistics

Type of Assessment for UE in Q1

• N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

• Presentation and works
• Oral Examination

Q2 UE Assessment Comments

presentation of a scientific publication

Type of Assessment for UE in Q3

• Presentation and works
• Oral examination

Q3 UE Assessment Comments

presentation of a scientific publication

Q1 UE Resit Assessment Comments (BAB1)

Not applicable