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The course is an introduction to computer programming following the structured and object oriented paradigms. The used language is Python. The course also introduces recursion and computational complexity, presenting some sorting and searching algorithms.

RA1.2: Knowledge and understanding of engineering disciplines underlying their specialisation, at a level necessary to achieve the other programme outcomes, including some awareness at their Forefront. RA2.2: Ability to identify, formulate and solve engineering problems in their field of study; to select and apply relevant methods from established analytical, computational and experimental methods; to recognise the importance of non-technical societal, health and safety, environmental, economic and industrial constraints. RA3.1: Ability to develop and design complex products (devices, artefacts, etc.), processes and systems in their field of study to meet established requirements, that can include an awareness of non-technical ¿ societal, health and safety, environmental, economic and industrial ¿ considerations; to select and apply relevant design methodologies. RA5.4: Ability to apply norms of engineering practice in their field of study. CGB4: Basic knowledge of the use and programming of computers, operating systems, databases and computer programmes with applications in engineering. CGB5: Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to the resolution of engineering problems. CGO1: Ability to conceive, draft, organise, plan, develop and sign projects in the field of computer engineering aimed, in accordance with the knowledge acquired, at the conception, development or operation of computer systems, services and applications. CGO4: Ability to define, evaluate and select hardware and software platforms for the development and execution of computer systems, services and applications, in accordance with the knowledge acquired. CGO8: Knowledge of basic subjects and technologies, which enable them to learn and develop new methods and technologies, as well as those which provide them with great versatility to adapt to new situations. CECRI1: Ability to design, develop, select and evaluate computer applications and systems, ensuring their reliability, security and quality, in accordance with ethical principles and current legislation and regulations. CECRI6: Knowledge and application of the basic algorithmic procedures of com- puter technologies to design solutions to problems, analysing the suitability and complexity of the proposed algorithms. CECRI7: Knowledge, design and efficient use of the most appropriate data types and structures to solve a problem.

1. Introduction 2. Flow diagrams 3. Data, operators, input and output 4. Flow control: conditionals and loops 5. Simple data structures 6. Functions 7. Introduction to Object Oriented Programming 8. Algorithms, recursion and computational complexity

1. Lectures (1 ECTS) Devoted to teaching basic competences, especially those related to basic imperative programming techniques 2. Lab sessions (1 ECTS) They complement the lectures and allow the students to put their knowledge into practice 3. Autonomous work (2.5 ECTS) Devoted to individual or group learning the specific competences. This activity will also contribute to the following generic competences: Oral and writing skills, Analysis and synthesis abilities, Ability to decide among alternatives, Motivation for quality and Ability to self-organize, and work and learning process planning capacity. 4. Office hours (1 ECTS). Individual or in group office hours as requested by the students 5. Final exam (0.5 ECTS) Development with limited time of an object oriented program. It allows the student to show his/her overall knowledge METHODOLOGY Classes will be divided into lectures and laboratory sessions. In addition, students are expected to work autonomously at home. - Lectures: they will be used to present general programming concepts using Python as language. Example programs will be written during the class, to reinforce the theoretical concepts. Short test can be performed at the end of each class to evaluate the understanding of the main concepts presented in that class and the previous ones. - Laboratory classes: they will consist of three parts. In the first part, the students, randomly selected, will be asked to explain the previous week proposed exercises. Next, a problem will be posed and solved in collaboration by students and teacher. Finally, a series of problems will be presented for the students to solve them. These problems need to be uploaded to Aula Global by the end of the week. A final project will be presented to be performed in groups of two. It could include partial deliveries. Both the final project and the weekly assignments will be performed in Python. - Student's autonomous work: students are expected to finish at home the weekly assignments and to deliver them using Aula Global. Office hours Following university rules each professor will publish his/her preferred office hours in Aula Global. Despite this, students are encouraged to contact the professor by email to arrange an appointment any time they want, whether in the preferred hours or not. Small doubts not requiring a face-to-face visit can be made by email. General doubts should be posted in the course forum, available in Aula Global. These doubts can be solved either by the professors or by other students. For the final project, individual tutorship sessions will be arranged for each group.