Course guide

Fundamentals of Computer Science for Biology (2001113)

Curso 2021/2022
Approval date:
21/06/2021

Grado (bachelor's degree)

Bachelor'S Degree in Biology

Brach

Sciences

Module

Materias Básicas Instrumentales para la Biología

Subject

Informática

Year of study

1

Semester

1

ECTS Credits

6

Course type

Core course

Teaching staff

Theory

  • Jesús Alcalá Fernández. Grupo: D
  • Rafael Alcalá Fernández. Grupo: C
  • Waldo Fajardo Contreras. Grupo: A
  • Siham Tabik Ouled Hrour. Grupo: B

Practice

  • Jesús Alcalá Fernández Grupo: 15
  • Rafael Alcalá Fernández Grupos: 11, 12 y 9
  • Waldo Fajardo Contreras Grupos: 1, 2, 3 y 4
  • Francisco Javier García Castellano Grupos: 13, 14 y 16
  • Pablo Mesejo Santiago Grupo: 10
  • Miguel José Molina Solana Grupos: 5, 6, 7 y 8

Timetable for tutorials

Jesús Alcalá Fernández

Ver email
  • Monday de 10:00 a 13:00 (M1 (Fciencia))
  • Thursday de 10:00 a 13:00 (M1 (Fciencia))

Rafael Alcalá Fernández

Ver email
  • First semester
    • Monday
      • 09:30 a 10:00 (Mect (Fciencia))
      • 12:00 a 13:00 (Mect (Fciencia))
    • Tuesday de 12:00 a 13:00 (Mect (Fciencia))
    • Wednesday de 12:00 a 14:00 (Mect (Fciencia))
  • Second semester
    • Tuesday de 10:00 a 13:00 (D16 (Etsiit))
    • Thursday de 10:00 a 13:00 (D16 (Etsiit))

Waldo Fajardo Contreras

Ver email
  • First semester
    • Thursday de 15:00 a 21:00 (D29 Etsiit)
  • Second semester
    • Monday de 10:00 a 13:00 (D29 Etsiit)
    • Wednesday de 10:00 a 13:00 (D29 Etsiit)

Siham Tabik Ouled Hrour

Ver email
  • First semester
    • Wednesday de 11:00 a 13:00 (Nd Etsiit)
    • Friday de 09:00 a 11:00 (Nd Etsiit)
  • Second semester
    • Wednesday de 16:00 a 17:00 (Nd Etsiit)
    • Friday
      • 09:00 a 11:00 (Nd Etsiit)
      • 16:00 a 17:00 (Nd Etsiit)

Francisco Javier García Castellano

Ver email
  • First semester
    • Tuesday de 10:00 a 12:00 (M4 (Fciencia))
    • Thursday de 10:00 a 13:00 (M4 (Fciencia))
    • Friday de 12:00 a 13:00 (Bo (Fcyd))
  • Second semester
    • Tuesday de 10:00 a 13:00 (M4 (Fciencia))
    • Wednesday de 10:00 a 13:00 (M4 (Fciencia))

Pablo Mesejo Santiago

Ver email
  • Tuesday de 10:00 a 13:00 (Nd Etsiit)
  • Wednesday de 10:00 a 13:00 (Nd Etsiit)

Miguel José Molina Solana

Ver email
  • Monday de 11:00 a 12:00 (Fo17 Etsiit)
  • Tuesday de 11:00 a 12:00 (Fo17 Etsiit)
  • Wednesday de 12:30 a 15:30 (Fo17 Etsiit)
  • Thursday de 11:00 a 12:00 (Fo17 Etsiit)

Prerequisites of recommendations

High school mathemathics are recommended.

Brief description of content (According to official validation report)

  • 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.

General and specific competences

General competences

  • CG01. Organisational and planning skills 
  • CG02. Teamwork
  • CG03. Applying knowledge to problem solving
  • CG04. Capacity for analysis and synthesis
  • CG05. Knowledge of a foreign language
  • CG07. Informatic knowledge regarding the field scope

Specific competences

  • CE25. Design models of biological processes
  • CE36. Implantar y desarrollar sistemas de gestión relacionados con la Biología  
  • CE41. Manejar las bases de datos y programas informáticos que pueden emplearse en el ámbito de Ciencias de la Vida 
  • CE77. Knowing computer science applied to Biology

Objectives (Expressed as expected learning outcomes)

  • 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.

Detailed syllabus

Theory

  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

Practice

Seminars / Workshops:

  • Ofimatics skills.
  • Python applications.

Laboratory practices:

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

Bibliography

Basic reading list

  • Beekman, G. 2009. Tomorrow's technology and you. Prentice Hall.
  • Beekman, G. 2006. Introducción a la informática. Pearson educación.
  • Delgado, J.M. & Paz, F. Openoffice.Org 3.0 (Guía Práctica). Anaya Multimedia.
  • Llena, S. 2019. Aprender Office 365/2019 con 100 ejercicios prácticos. Marcombo.
  • Hinojosa, A.P. 2016. Python. Paso A Paso. Ra-ma.

Complementary reading

  • Pilgrim, M. 2009. Inmersión en python

Recommended links

Teaching methods

  • 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 

Assessment methods (Instruments, criteria and percentages)

Ordinary assessment session

Continuous evaluation:

Formative activities Weight
Theory 50%
Practice 50%
  • Theory (50%) [S1]: There will be three tests (20%, 15% and 15% of the evaluation, respectively). The first one will happen after lesson 3, the second in the middle of python lessons and the third one after all lessons. 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.

 

 

Extraordinary assessment session

  • 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.

Single final assessment

  • 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.

Información adicional

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.

ESCENARIO A (ENSEÑANZA-APRENDIZAJE PRESENCIAL Y TELE-PRESENCIAL)

Horario (Según lo establecido en el POD)

For individual meetings, an appointment is needed and should be requested to the lecturers.

Their meeting timetables can be found at http://decsai.ugr.es/index.php?p=profesores

Herramientas para la atención tutorial (Indicar medios telemáticos para la atención tutorial)

Individual meetings will use the platforms facilitated by Universidad de Granada.

Medidas de adaptación de la evaluación (Instrumentos, criterios y porcentajes sobre la calificación)

  • Proportion between face-to-face sessions and non-face-to-face sessions will be determined by Facultad de Ciencias according to the sanitary conditions.
  • Lab sessions will be performed with a computer. To avoid health hazards, they will be taught on a non-face-to-face way or using the students' own laptops.
  • Non-face-to-face sessions will be taught using the platforms provided by Universidad de Granada. They will be completed with activities to check and monitor the students' progress and understanding of the course.

Evaluación ordinaria

Continuous evaluation:

  • Theory (50%) [SE1]: There will be three tests (20%, 15% and 15% of the evaluation, respectively). The first one will happen after lesson 3, the second in the middle of python lessons and the third one after all lessons. 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 tests will be performed in a face-to-face way. If not possible, tests will be performed in a non-face-to-face way using the platforms and tools provided by Universidad de Granada. 

Evaluación extraordinaria

  • 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 tests will be performed in a face-to-face way. If not possible, tests will be performed in a non-face-to-face way using the platforms and tools provided by Universidad de Granada. 

Evaluación única final

  • 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.

The tests will be performed in a face-to-face way. If not possible, tests will be performed in a non-face-to-face way using the platforms and tools provided by Universidad de Granada. 

ESCENARIO B (SUSPENSIÓN DE LA ACTIVIDAD PRESENCIAL)

Horario (Según lo establecido en el POD)

For individual meetings, an appointment is needed, and can be requested from the lecturers.

Their meeting timetables can be found at http://decsai.ugr.es/index.php?p=profesores

Herramientas para la atención tutorial (Indicar medios telemáticos para la atención tutorial)

Meetings will use the platforms facilitated by Universidad de Granada

Medidas de adaptación de la evaluación (Instrumentos, criterios y porcentajes sobre la calificación)

All lecturing will be non-face-to-face. The tools and platforms provided by University of Granada will be used.

Evaluación ordinaria

The distribution of tests will be the same of scenario A, but those tests will be performed in a non-face-to-face way.

Evaluación extraordinaria

The distribution of tests will be the same of scenario A, but those tests will be performed in a non-face-to-face way.

Evaluación única final

The distribution of tests will be the same of scenario A, but those tests will be performed in a non-face-to-face way.