Online Course

Online Course

The BioS Vocational Open Online Course (VOOC): "Computational Biology for medical doctors" will be an online course aimed at unlimited participation and open access via the web. It is a form of Massive Open Online Course (MOOC) but focused on Vocational training tacking into account the VET teaching and learning particularities. The BioS VOOC will implement the BioS pedagogy, based upon collaborative learning approaches.

 

Download R2.2_BioS modular curricula Download R2.4_BioS_course_Catalogue

 

 

For the BioS VOOC, the following modules will be developed:


Description

This module provides an overview of major biological databases and introduces basic methods for the analysis of DNA and protein sequences, and of protein structures.


Learning objectives/outcomes

  • How to find and retrieve DNA and protein sequences from primary databases, both based on keywords and similarity to other sequences;
  • How to perform various analyses and comparisons;
  • How to construct multiple sequence alignments, discover protein motifs in sequences and run various other analyses using publicly available, web-based tools;

Course Details

  • Duration: 4 weeks
  • Expected workload: 7 to 10 hours per week

Skills

  • Biological databases, with main focus on DNA and protein sequences
  • Comparison and alignment of sequences, similarity-based searches in databases;
  • Discovery of protein sequence motifs and sequence features; metabolic pathway data;
  • Genome browsers and sources of gene expression data; gene lists and the concept of enrichment;
  • Micro-RNAs and their targets; protein visualization;

Description

This course will provide a practical introduction to analysis of biological and biomedical Big data. Clinical doctors will learn how the R statistical environment can be applied to biological data analysis.


Learning objectives/outcomes

  • Understanding of descriptive statistics, elements of probability, hypothesis testing, nonparametric methods, correlation analysis, and linear regression;
  • Understanding of how to choose appropriate statistical tests and how to assess statistical significance;
  • Understanding of how to visualize data and carry out statistical testing;
  • Understanding of R, a powerful programming language for statistical computing and graphics;

Course Details

  • Duration: 4 weeks
  • Expected workload: 7 to 10 hours per week

Skills

  • Basic statistical techniques
  • Biological data analysis with R

Description

The purpose of this module is to provide medical doctors the necessary knowledge and skills to interpret results from commercial personalised genomics services, like 23andMe, deCODE, Gene by Gene, etc. A clinical doctor will encounter first the results of these services when their patients bring their results from them.


Learning objectives/outcomes

  • Using reports in patient care from commercial personal genomics services;
  • Integrating these services into their patient care activities;
  • Understanding single nucleotide polymorhisms;
  • Learning about SNP's role in disease development;
  • Interpreting SNP related increased and decreased risks in selected diseases;
  • Interpreting commercial reports and translating them to actions in their health care segments;

Course Details

  • Duration: 4 weeks
  • Expected workload: 7 to 10 hours per week

Skills

  • Translating example reports to non-disease phenotypes with the following traits: Eye colour, Bitter Taste Perception. Lactose Intolerance
  • Translating example reports to disease risks with the following diseases: Prostate Cancer, Asthma, Stroke
  • Translating example reports to drug response traits with the following examples: Caffeine Metabolism, Hepatitis C Treatment Response, Abacavir Hypersensitivity (HIV treatment drug), Warfarin Sensitivity (blood thinner – stoke drug)

Description

This module programme will aim to equip trainees with a range of knowledge and skills, which are relevant and applicable in communications within healthcare contexts. Participants will learn how to build high performing and engaged healthcare teams, establish and sustain effective clinical relationships, as well as implement strategies and tools to support patient-centered care. Additionally, with patient safety initiatives at the forefront of care, a major goal of this module will be to help health care professionals to develop the background knowledge and skills necessary for the specialty of risk management.


Learning objectives/outcomes

  • Attracting and engaging customer-focused employees who are passionate about providing the best and most compassionate, yet efficient, care to the patient;
  • Establishing effective clinical relationships by leveraging key internal and external communication strategies;
  • Building a coaching culture that supports consistent exceptional care and service;
  • Identifying and addressing the differences in patients’ values, preferences and expressed needs;
  • Designing a patient experience framework that better meets and exceeds the patient’s needs;
  • Improved knowledge of the risk management process;
  • Learning how to integrate the systems for risk management, quality and patient safety;

Course Details

  • Duration: 2 weeks
  • Expected workload: 1 to 5 hours per week

Skills

  • Communication and Management in Healthcare
  • Risk Management in Healthcare
  • Decision making in Healthcare
 

erasmus+

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