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General Description ------------------------------------------- This course provides an overview of fundamental elements in computer Programming. Students will learn the basis programming, analysis of problems and algorithm development. The use of Matlab in the lab sessions will provide to the students a high-level and interactive integrated development environment plus a a thecnical computing language for algorithm development, and its implementation and debugging in source code in Matlab programming language. General Competences ------------------------------------------- - Synthesis and analysis - Organization and planning - Application of theoretical knowledge to practical problems - Proactivity, creativity and reasoning for problem resolution Specific Competences and Learning Objectives -------------------------------------------- * Cognitive: 1. Identify and explain the fundamental topics in the field of Computer Programming, Structured Programming, that facilitate the capabilities to learn new methods and theories in the field of Aerospace Engineering. * Procedural: - Design Algorithms - To learn how to use an integrated development environment (IDE) for program coding, and debugging the algorithm and the source code - To acquire a good programming style, resulting in efficient, well-organized, and well-documented programs - To acquire the ability to understand and use third-party programs - Use the knowledge and abilities gained by personal exertion about computer programming ( i.e. algorithm development) to solve problems, and to adapt to the changes that technology development will bring, in the field of Aeronautical Engineering.

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UNIT 1 INTRODUCTION TO PROGRAMMING 1.- Binary Code 2.- Basic elements of programming 2.1.- Base instruction 2.2.- Scalar data type 2.3.- Arithmetic and logic expressions 3.- Structured Programming. 3.1.- Theorem of Structured Programming 3.2.- Flow Charts. 4.- Conditional Intructions 4.1.- IF instruction 4.1.- Switch instruction 5.- Loops 5.1.- For 5.2.- While 5.3.- Nested Loops 6.- Debugging 7.- Arrays 7.1 Vectors (one-dimensional array) 7.2 Matrices and multi-dimensional arrays 8.- Functions 8.1.- Definition and function call 8.2.- Recursion 9.- Structures 9.1 Definition. 9.2 Arrays of structures 10.- Search, Sorting and Merge 10.1 Linear and Binary Search 10.2 Sorting Algorithms 10.3 Merge 11.- Files 11.1 Binary and plain text files 11.2 Reading and writing files. UNIT 2 INTRODUCTION TO COMPUTER SCIENCE 1.- Information Technology 2.- Software 3.- Data Structures (databases ) 4.- Operating Systems 5.- Hardware 6.- Telecommunications

The learning activities in lectures and labs sessions are organized as follows: - lectures (50% of classroom learning activities): theoretical aspects, and exercises - lab sessions (50% of classroom learning activities): exercises and problems - personal work, including solving problems on the computer and in writing The student must bear in mind that his/her personal work outside the classroom (study the theoretical concepts, exercises, and problems) is a keylearning activity, and it makes up for around 50% of the work in this course