Course guide of Fundamentals of Computer Science for Biology (2001113)

High school mathemathics are recommended.

• Tools for work and communication: Operating systems, ofimatics, thematic dictionaries, Image processing, e-learning platforms, presentations.
• Information search: browsers, databases, university libraries.
• Scientific/technical software: Data processing, Mathematics, Simulation, Cartography.
• Introduction to programming: applications, programming and statistics with python.

• Know and handle some work and communication tools: Operating systems, ofimatics, thematic dictionaries.
• Know and handle software for image processing, e-learning platforms and presentations.
• Know and perform information searches using browsers, databases and university libraries.
• Know and handle some scientific/technical software: data processing, Mathematics, Simulations, Cartography.
• Design and implement simple computer programs and know how to apply them to solve specific problems in biology.
• Solve statistical problems with a programming language such as python.

1. Introduction to Computer Science
2. Representation of information
3. Databases
4. Programming fundamentals
5. Programming fundamentals in python
6. Basic data types
7. Control structures
8. Advanced data types
9. Introduction to bioinformatics

Seminars / Workshops:

• Ofimatics skills.
• Python applications.

Laboratory practices:

1. Spreadsheets. Charts.
2. Databases.
3. Basic programming in python

• Fox, R. 2013. Information Technology. Chapman and Hall

• Beekman, G. 2009. Tomorrow's technology and you. Prentice Hall.

• Arias-Silva, N. 2018. Office 365 essentials : get up and running with the fundamentals of office 36. Packt Publishing

• Ryan, M. 2018. Python Fundamentals. Packt Publishing.

• Youens-Clark, K. 2021. Mastering Python for bioinformatics : how to write flexible, documented, tested Python code for research computing. O'Reilly Media

Python. https://www.python.org/doc/

PRADO 2 platform. https://prado.ugr.es

Microsoft 365 help & learning. https://support.microsoft.com/en-us/microsoft-365

OpenOffice documentation. https://wiki.openoffice.org/wiki/Documentation

• MD01. Lección magistral/expositiva 
• MD02. Sesiones de discusión y debate 
• MD03. Resolución de problemas y estudio de casos prácticos 
• MD04. Prácticas de laboratorio y/o clínicas y/o talleres de habilidades 
• MD06. Prácticas en sala de informática 
• MD07. Seminarios 
• MD10. Realización de trabajos en grupo 
• MD11. Realización de trabajos individuales 

Continuous evaluation:

• Theory (50%) [S1]: There will be three tests (20%, 15% and 15% of the evaluation, respectively). The first one will happen after lesson 3 (3rd November), the second in the middle of python lessons (1st December) and the third one will take place on the date established by the grade for the computer science exam in the ordinary examination. These tests enable a continuous evaluation of the theory part of the course.
• Practice (50%) [SE2, SE3, SE4]: It will comprise participation and evaluation of laboratory activities, seminars and supervised works.

The detail of this ponderation is as follows:

• SE1: Evaluation of the acquired level through theory classes: 50% (Theory)
• SE2: Evaluation of the acquired level through laboratory activities: 20% (Practice)
• SE3: Evaluation of the acquired level through seminars and guided work: 20% (Practice)
• SE4: Evaluation of assistance, attitude and participation in activities: 10% (Practice)

It will be necessary to obtain a final mark of 5 (out of 10) or higher to pass the course. A minimum mark of 4 in both theory and practice is required. If that is not met, the final evaluation for the course will be the minimum between 4.9 and the student marks.

• The student will take an exam including theory and practice. All the lessons and activities in the syllabus will be included in the exam.
• Students not attending the practical part of the exam will maintain the marking they obtained during the ordinary session in this part.
• The final mark of the course will be the sum of each part with a weight of 50% each.
• To pass the course, it is necessary to obtain a mark of 5 (out of 10) or higher. It is also mandatory to obtain 4 or more in each part (theory and practice), otherwise, the final mark for the course will be the minimum between 4.9 and the student marks.

• The students will take two tests: one to evaluate their knowledge regarding the theory aspects of the course, and another for evaluating acquired competences related to the practical part.
• The final mark will be the average of both marks. To pass the course, it is necessary to obtain a mark of 5 (out of 10) or higher. It is also mandatory to obtain 4 or more in each part (theory and practice), otherwise, the final mark for the course will be the minimum between 4.9 and the student marks.

Following the recommendations of CRUE and the Secretariat of Inclusion and Diversity of the UGR, the mechanisms for the acquisition and assessment of competences included in this syllabus will be applied according to the design principle for all people, facilitating learning and demonstration of knowledge according to the needs and functional diversity of the students.

Platform of support resources for teaching (PRADO2) at https://prado.ugr.es