Universidad Pública de Navarra - Nafarroako Univertsitate Publikoa
Public University of Navarre
| Course code: 503102 | Subject title: COMPUTER SCIENCE | ||||
| Credits: 6 | Type of subject: Mandatory | Year: 1 | Period: 1º S | ||
| Department: Estadística, Informática y Matemáticas | |||||
| Lecturers: | |||||
| LOPEZ MOLINA, CARLOS (Resp) [Mentoring ] | |||||
Contents
Uso y diseño de hojas de cálculo. Importación y exportación de información en diferentes formatos. Manejo de herramientas nativas de hojas de cálculo para la depuración, análisis y visualización de información.
Rol de las aplicaciones en informática moderna. Creación de aplicaciones, ejecución de las mismas. Comprensión de los fundamentos de programación en términos de tipos de datos y estructuras de control. Diseño de soluciones algorítmicas para problemas bien definidos en el ámbito de la ingeniería.
Integración de programas personalizados con aplicaciones existentes. Gestión automática de grandes volúmenes de información. Interacción con sistemas operativos.
General proficiencies
- CB1: Students are able to demonstrate they have acquired knowledge and understanding in a field of study based on the basic foundations gained within their general secondary education together with the support of advanced textbooks and aspects of the latest advances in the field.
- CB2: Students can apply their knowledge to a job or vocation in a professional manner and have the competences which are generally shown through the elaboration and defence of arguments and problem solving in their field of study.
- CT4: Ability to search and use the information, rules and regulations relative to the field of action.
Specific proficiencies
- CG2: Adequate knowledge of the physical problems, technologies, equipment, and water and energy supply systems, the limits imposed by budgetary factors and building regulations, the relationships between installations and/or buildings with farms, agro-food industries and spaces related to gardening and landscaping with their social and environmental surroundings, as well as the need to relate those surroundings from that environment with human needs and environmental protection.
- CE3: Basic knowledge of the use and programming of computers, operating systems, databases and computer programmes with engineering applications.
Learning outcomes
R1 To use the most common operating systems.
R2 To know the edition, compilation and execution tools to develop programs.
R3 To use the different control and data structures to develop programs. To validate the developed programs.
R4 To design simple databases and make queries.
R5. To design and develop algorithmic solutions to well-defined problems.
R6. To integrate the use of files, spreadsheets and tailor-made script to manage information in a professional, engineering application.
RESULTADOS APRENDIZAJE ENAEE:
ENAEE-3: Un conocimiento adecuado de su rama de ingeniería que incluya algún conocimiento a la vanguardia de su campo.
Methodology
| Methods- Activity | In-class time (hours) | Off-class time (hours) |
| A-1 Theoretical lessons | 29 | 15 |
| A-2 Practical lessons | 28 | 30 |
| A-3 Seminars | 0 | |
| A-4 Personal work | 15 | |
| A-5 Reading | ||
| A-6 Personal study | 25 | |
| A-7 Exams | 5 | |
| A-8 In-office assistance | 3 | |
| Total | 62 | 88 |
Evaluation
| Aspecto | Criterios | Instrumento | Weight |
| R1, R2, R3, R4, R5, R6 | Understanding of the theoretical and practical contents | Theoretical-practical exams. It includes contents from the individual or group labs. A minimum grade of 50% is required in this exam to pass the subject. Remediable in the the extraordinary evaluation. | 48% |
| R1, R2, R3, R4, R5, R6 | Partipation in classroom activities | As registered by the lecturer. This outcome is not remediable in the extraordinary evaluation | 7% |
| R1, R2, R3, R4, R5, R6 | Collaborative applications of theoretical concepts | Lab submission under the requirements by the lecturer. This outcome is not remediable in the extraordinary evaluation | 30% |
| R1, R2, R3, R4, R5, R6 | Individual work | Lab submission under the requirements by the lecturer and, potentially, written exam on their contents. Remediable in the the extraordinary evaluation. | 15% |
Agenda
The theoretical side of the subject develops as follows:
- Part 1. Programming with Python
- T1a Introduction to operating systems and programming;
- T1b Data types and basic interaction with users;
- T1c Alternative programming structures;
- T1d Collections;
- T1e Iterative programming structures;
- T1f Text management with Python
- T1g Functions
- T1h Text file reading and writing
- Part 2. Spreadsheets
- T2a Fundamentals of spreadsheets;
- T2b Advanced functions for spreadsheets;
- T2c Information search and retrieval with spreadsheets;
- Part 3. Automatic information processing
- T3a Management of data with Python;
- T3b Management of spreadsheets with Python.
The practical side of the subject develops as follows:
- Part 1. Programming with Python
- 1. Executing Python scripts;
- 2. Interaction with users and basic information management;
- 3. Alternative programming structures;
- 4. Collections;
- 5. Iterative programming structures;
- 6. Text management in Python;
- Part 2. Spreadsheets
- 7. Basic spreadsheets;
- 8. Advanced functions for spreadsheets;
- 9. Information search and retrieval with spreadsheets;
- 10. Importing and exporting information from/to spreadsheets;
- Part 3. Automatic information processing
- 11. File reading with Python;
- 12. Integration of spreadsheets with Python.
Bibliography
Access the bibliography that your professor has requested from the Library.
- C. Valdés-Miranda Cros, Manual imprescindible de Excel 2013, Anaya Multimedia;
- Apache Foundation, The OpenOffice Calc Reference (Official), accesible on-line en la página oficial de LibreOffice (help.libreoffice.org/Main_Page);
- E. Bahit, Curso: Python para Principiantes, accesible en el repositorio de SafeCreative (www.safecreative.org);
- A. Marzal, Introducción a la programación en Python, accesible on-line en la Colección Sapientia de la Universidad Jaume I (www.sapientia.uji.es).
- The Python Foundation, The Python Language Reference (Official), accesible on-line en la página oficial de la Python Foundation (docs.python.org/3/).