• Description

This subject is the starting point for learning programming techniques. It is an introductory subject, in which you will learn the fundamentals of programming in C.  

You don't need any previous specific knowledge to take this course although it is expected that you have some basic mathematical background.

• The subject within the syllabus as a whole

This subject will use C as language programming, and will allow you to acquire the essential knowledge to carry on other subjects within this degree: 

• Programming in practice 
• Object-Oriented Programming.

• Professional fields to which it applies

• Prior knowledge

• Learning objectives and results

Degree's competences 

• Ability to design and build computer applications through development, integration, and reuse techniques. 
• Basic knowledge of computer usage and programming, operating systems, databases, and computer programs with engineering applications. 

Subject's objectives 

The general subject's objective is to learn to design algorithms/programs that meet a quality criterion. This general objective is specified within the following specific objectives: 

• To know and understand the fundamental algorithmic concepts by learning and understanding the algorithmic notation, syntax, and semantic. 
• To know and understand the concepts, methods, and techniques, needed to specify the precise behaviour that the solution to a specific problem must have, and design and implement the corresponding program. 
• To know how to use the algorithmic schemes as an effective technique for building algorithms. Modularity will also be seen as an ideal way to deal with complex problems by dividing them into a set of simpler subproblems. 
• Acquire practice in the application of the previous concepts in a real programming development environment. Thus, the student will acquire not only conceptual but also practical knowledge of how to write a program, compile it, assemble it and execute it.

• Content

• View the learning resources used in the subject

• Support tools and learning resources

In the virtual classroom, you will find access to our xWiki that contains all the resources needed: contents of the different learning units, algorithmic and C language guides, and the guidelines to perform the different proposed activities. 

On the xWiki you will find an initial explanation on how to use each resource and also an introductory guide where you will find all the materials grouped according to the week in which you should use them. The xWiki content is also accessible from the Lab virtual classroom.

• Guidelines on assessment at the UOC

The assessment process is based on the student's personal work and presupposes authenticity of authorship and originality of the exercises completed.

Lack of authenticity of authorship or originality of assessment tests, copying or plagiarism, the fraudulent attempt to obtain a better academic result, collusion to copy or concealing or abetting copying, use of unauthorized material or devices during assessment, inter alia, are offences that may lead to serious academic or other sanctions.

Firstly, you will fail the course (D/0) if you commit any of these offences when completing activities defined as assessable in the course plan, including the final tests. Offences considered to be misconduct include, among others, the use of unauthorized material or devices during the tests, such as social media or internet search engines, or the copying of text from external sources (internet, class notes, books, articles, other students' essays or tests, etc.) without including the corresponding reference.

And secondly, the UOC's academic regulations state that any misconduct during assessment, in addition to leading to the student failing the course, may also lead to disciplinary procedures and sanctions.

• View the assessment model