This course is the first contact of students with computer science, in particular with "software". Therefore, it is not required any prior knowledge of programming or automatic data processing. However, the student must have some knowledge of computers and how to use windows based software to achieve a better performance during lab classes.



The examples, papers and projects undertaken in this course are related to others subjects in the basic module (linear algebra, calculus, physics). However, the knowledge acquired will be applied in other subjects throughout the career, particularly in relation to the practical aspects of them.

Taking into account the new teaching model, in which is crucial to monitor the student learning, the teaching objectives are specified in objective terms related to the acquired acquired knowledge and skills.





* Skills



This course develops the CM03 basic module skills designated: "Basic knowledge on using and programming computers, operating systems, databases and software engineering with application in the engineering". Likewise, other skills related to the whole career will be acquired.



* Learning Outcomes



This course enables students to:



- Set out clearly the functional description of the hardware components of a processor.

- Differentiate the different levels of software involved in solving a problem using a data.

- Differentiate the different types of programming languages and understand the fundamental concepts of computer languages of high and low level.

- Coding, setting up and running simple programs in high-level language.

- Use correctly the essential aspects of programming: data types, control structures, data structures, subroutines, and files.

- Self-assess the work done and identify mistakes and areas for improvement.

- Design simple algorithms: search, insertion, deletion and sorting.

- Acquire information independently, explaining to colleagues and ensure that they have assimilated.

- Agree on decisions with mates on aspects of the implementation of a program, specify the tasks, distribute evenly and integrate results.

Topics of the master classes:



1. - Introduction

1.1 - General computing concepts

2. - Hardware and Software in a computer system

2.1 - Hardware diagram. Functional description of the Hardware components

2.2- Software diagram. System Software and Application Software

3. - Programming languages

3.1 - From machine languages to high-level languages

3.2 - Compiled languages and interpreted languages

3.3 - Programming Environment: linker and debugger

4. - Programming methodology

4.1 - Modular programming

4.2 - Structured programming

5. - Programming

5.1 - Basic program structure

5.2 - Basic types

5.3 - Expressions and statements

5.4 - Input/Output operations

6. - Control structures

6.1 - Sequential

6.2 - Conditional

6.3 - Iterative

7. - Subprograms

7.1 - The subprogram concept

7.2 - Parameters passing

7.3 - Subprogram types: procedures and functions

7.4 - Lifetime and scope of the variables

7.5 - Recursion

8. - Data Structures

8.1 - Homogeneous: arrays and strings

8.2 - Heterogeneous: records

8.3 - Definition, declaration and access to individual elements

8.4 - Algorithms: traverse, search, insert, delete, and ordering

9. - Permanent storage of data: files, databases

9.1 - File types

9.2 - Definition and declaration of binary and text files

9.3 - Algorithms: traverse, search, modify, insert, and delete



Topics of the seminar and computer practice sessions:



Laboratory sessions:



- Introduction to the Integrated Development Environment.

- Exercises for design and programming. Use of constants and variables (simple numeric data types) and Input/Output operations.

- Simple exercises for design and programming. Use control statements (conditional and repeating statements).

- Simple exercises for design and programming. Use of subprograms.

- Exercises for design and programming. Use of user defined data types: strings, arrays and registers.

- Exercises for design and programming. Use of user defined file types.



Seminar session:



- Complex exercises for design. Use conditional statements.

- Complex exercises for design. Use repeating statements.

- Complex exercises for design and programming. Use of subprograms.

- Exercises for design and programming. User defined data types: arrays (vectors, matrix,...)

- Design and programming of complex exercises using the file data types defined by the user.

- Design and programming of complex exercises taking into account the use of all the programming mechanisms studied during the course: data types, control structures, data structures, subprograms and files.





Mainly, the student is to program the solution during non-contact hours.

The teaching will be three types: Master classes, seminars and computer practices. Master classes aim at the theoretical explanation of the concepts. Nevertheless, different practical examples, seminars and computer practices help the student to work on the theoretical concepts.



The theoretical programme is continuously developed at a rate of 2 hours per week. The seminars and the computer practices are weekly alternated.



This subject consists of six seminar sessions of 2 hours each which are distributed within the academic. During these sessions, students put into practice the concepts related to the software design methodologies (top-down and functional abstraction methodologies) and, also, encourage the comparison of their proposed solutions.



In alternate weeks, the course consists of computer practical sessions (2 hours) in which students work individually, particularly in programming in a high level programming language and performing all the required programming stages: design, coding, verification and validation of the solutions to problems proposed by the professor prior to class.



During the master classes as well as the seminar and computer practice sessions, the latest ICT technologies will be also introduced and practiced.



In case of sanitary emergency, the university will activate an online teaching protocol, and students will be informed accordingly.



LEARNING RESOURCES



Computational Centres for the realization of individual computer practices and seminars.

Virtual classroom materials for the distribution of work, monitoring the work and keeping the information related to the sections covered in this document (software, books, tools...).

• Final Assessment System
• Tools and qualification percentages:
  • Written test to be taken (%): 70
  • Individual works (%): 30

The evaluation of the subject is performed considering the skills that the students should acquire during the course. Therefore, we use different instruments to measure the acquisition of those skills.



The evaluation of the subject is based on both a continuous evaluation (30%) and a final exam (70%).



Continuous evaluation (30%): Seminar (15%) and Computer Practices (15%)

- Reports and exams linked to the seminars (15 %)

- Reports and controls of computer practices (15%)



Final exam (70%):

- Multiple choice tests or open-ended questions (21%)

- Program Development (49%)

* In order to pass the subject, it is mandatory to achieve at least 50% of the grade in the final exam. If the 50% of the grade in the Final exam is not obtained, the final grade will be the one obtained on the final exam.





Refusing the continuous evaluation:

- During the first 9 weeks of the course, the student can refuse the continuous evaluation by sending a formal writing to the assigned professor

-A complementary practical computer-based exam will be carried out to evaluate this 30%. However, in order to pass the subject, it is mandatory to achieve at least 50% of the grade in that complementary exam. If the 50% of the grade in the Final exam or in the complementary computer-based exam is not obtained, the final grade will be the one obtained on test where the minimum requirements have not been met.



A student who does not present the final exam will be graded with a "Not taken"

Final exam (100%):

- Multiple choice tests or open-ended questions (30%)

- Program Development (70%)



* In order to pass the subject, it is mandatory to achieve at least 50% of the grade in the Program Development part within the final exam. Otherwise, the final grade will be the one obtained on the "Program Development" part of the exam.



A student who does not present the final exam will be graded with a "Not taken"

Theory notes and practices available on the course's virtual platform (eGela).

Software:

Software development environment of a high-level language.
Virtual platform eGela is the teacher-student communication where you will find information and timely notifications.

Basic bibliography

"Introducción a la informática", Alberto Prieto, Antonio Lloris Ruiz, Juan Carlos Torres Cantero, McGraw-Hill

"Fundamentos de programación. Algoritmos y estructuras de datos y Objetos", Luis Joyanes Aguilar. McGraw-Hill.

"Algoritmos + Estructuras de Datos = Programas", Niklaus Wirth, Editorial Castillo

"C in a nutshell, the definitive reference" Peter Prinz y Tony Crawford, O’Reilly (1st ed. 2002, 4th ed. 2010)

"C, the complete reference" Herbert Schildt, McGraw Hill (2000)

"C Programming Absolute Beginner’s Guide", Greg Perry and Dean Miller, Pearson (2013)

"C Programazio Lengoaia", Iñaki Alegria eta Nestor Garai, Elhuyar (1995)

In-depth bibliography

"Fundamentos de los computadores. Estructura, funcionamiento interno, software de sistemas", Pedro de Miguel
Anasagasti, Editorial McGraw-Hill
"C in depth", Deepali Srivastava, BPB Publications
"The Programming language C", Brian Kernighan and Dennis Ritchie, Prentice-Hall (1988)

Web addresses

https://www.codeblocks.org/
https://www.geeksforgeeks.org/c-programming-language/
https://es.wikibooks.org/wiki/Fundamentos_de_programaci%C3%B3n
http://www.lawebdelprogramador.com/
http://www.nachocabanes.com