Objectives of Programme's Learning Outcomes

• In the field of biological sciences and particularly in the field of the biology of organisms and ecology, possess highly specialised and integrated knowledge and a wide range of skills adding to those covered in the Bachelor's programme in biological sciences.
• Conduct extensive research and development projects related to biological sciences, in the biology of organisms and ecology.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Show initiative and be able to work independently and in teams.
• Manage and lead research, development and innovation projects.
• Understand unprecedented problems in biological sciences, and more specifically in the biology of organisms, ecology and its applications.
• Develop and integrate a high degree of autonomy.
• Pursue further training and develop new skills independently.
• In the field of biological sciences and particularly in the field of the biology of organisms and ecology, possess highly specialised and integrated knowledge and a wide range of skills adding to those covered in the Bachelor's programme in biological sciences.
• Conduct extensive research and development projects related to biological sciences, in the biology of organisms and ecology.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Show initiative and be able to work independently and in teams.
• Manage and lead research, development and innovation projects.
• Understand unprecedented problems in biological sciences, and more specifically in the biology of organisms, ecology and its applications.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Develop and integrate a high degree of autonomy.
• Pursue further training and develop new skills independently.
• Develop and integrate a high degree of autonomy to evolve in new contexts.
• Apply scientific methodology.
• Critically reflect on the impact of their discipline in general, and on the contribution to projects.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

To specialize students in biology in biological data science through their initiation to various complementary concepts to previous courses. This course supplements data science concepts taught until now with various more advanced topics: floating-point calculation precision, best coding of data in relation with the current problem, how to realize perfectly reproducible analyses, reproducible pseudo-random generators, pre-sorting of the data with SQL commands. This course is partly modular in function of specific needs of students.

Content of UE

The chapters of this UE are : 

- Code organization, OOP
- Code testing & code optimization
- Packages & continuous integration
- Databases SQL & noSQL
- Parallel and cloud computing

Prior Experience

General knowledge in data science, including project management, data importation and transformation, visualization of data through graphs and bases of writing reproducible reports. Advanced biostatistics in main areas used in biological data analyses.

Data Science IV: Practice is co-required!

Type of Assessment for UE in Q1

• Oral examination

Q1 UE Assessment Comments

Evaluation according to questions and answers durting an oral examination.

Type of Assessment for UE in Q3

• Oral examination

Q3 UE Assessment Comments

Evaluation according to questions and answers durting an oral examination.

Type of Resit Assessment for UE in Q1 (BAB1)

• Oral examination
• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not appliable.