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: | |||||
| 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.
Descriptors
Basic knowledge about the use and programming of computers, operative systems, databases and programs, with applications to Engineering.
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
| Methodology-Activities | Classroom tuition | Off-site classes |
| A-1 Theoretical lessons | 29 | 15 |
| A-2 Practical lessons | 28 | 30 |
| A-3 Seminar | 1 | |
| A-4 Personal work | 15 | |
| A-5 Reading | ||
| A-6 Personal study | 24 | |
| A-7 Exams | 3 | |
| A-8 Individual tuition | 3 | |
| Total | 63 | 87 |
Evaluation
| Aspect | Criteria | Tool | Weight |
| R1, R2, R3, R4, R5, R6 | Understanding of the theoretical and practical contents | Theoretical-practical exam. It is a must to reach 5/10 in this exam to pass the subject. Remediable in the the extraordinary evaluation. | 40% |
| ER1, R2, R3, R4, R5, R6 | Partipation in classroom activities | Short exams and tests during the lessons. This aspect is not remediable in the extraordinary evaluation. | 5% |
| R1, R2, R3, R4, R5, R6 | Collaborative applications of theoretical concepts | Evaluation of the group outcome to speficic tasks. All members of a group might have heterogeneous, upon lecturer's decision. Not remediable in the the extraordinary evaluation. | 10% |
| R1, R2, R3, R4, R5, R6 | Individual work | Evaluation of individually submitted work. This aspect is remediable in the extraordinary evaluation. | 45% |
Agenda
1. Spreadsheets
- T1a Fundamentals on spreadsheets;
- T1b Advanced functions for spreadsheets;
- T1c Storing and searching for information;
- T1d Importing, analyzing and exporting information;
- T1e Advanced data analysis.
2. Programming in Python
- T2a Operating systems and programming;
- T2b Data types and used interaction;
- T2c Alternative control structures in Python;
- T2d Iterative control structures in Python;
- T2e Collections in Python;
- T2f Text management in Python.
3. Automated information processing
- T3a File management in Python;
- T3b Information storage and representation in Python;
- T3c Automated spreadsheet management in Python.
- The practical contents in the subject are:
- 1.- Basic uses spreadheets;
- 2.- Advanced uses spreadheets;
- 3.- Searching information in a spreadsheet;
- 4.- Information import/export with spreadsheets
- 5.- Professional applications of spreadsheets
- 6.- Setting and using a Python environment
- 7.- User interaction with Python
- 8.- Alternative control structures in Python
- 9.- Iterative control structures in Python
- 10.- Collections in Python
- 11.- Reading files in Python
- 12.- Automated file management in Python
- 13.- Information import/export with Python
- 14.- Integrating spreadsheets and 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/).