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Course: 2018/2019

Programming techniques

(17456)

Study: Bachelor in Management of Information and Digital Contents (340)

Coordinating teacher: RUIZ MEZCUA, MARIA BELEN

Department assigned to the subject: Department of Computer Science and Engineering

Type: Compulsory

ECTS Credits: 6.0 ECTS

Course: 2º

Semester: 2º

Students are expected to have completed

None

Competences and skills that will be acquired and learning results. Further information on this link

In a generic way, the subject aims for the student to acquire a series of knowledge, skills and abilities in relation to the basic elements of programming. Data structure, syntax, pseudocode. Additionally students will acquire skills to propose solutions to solve problems in teams. RA OF THE MATTER Possess knowledge of the basic concepts of programming Possess basic knowledge of the syntax of a programming language Basic ad generals competences: CG1,CG2, CG7, CB4 Cross Competences: CT1,CT3, CT4 Specific competences: CE4, CE8, CE10

Description of contents: programme

1. Introduction- Programming languages- Compilation and execution of programs 2. Fundamentals of programming- Paradigms of programming- Elements of a program: data and algorithms- Basic programming tools: algorithms, flow charts and pseudocode 3. Programming in Python - Python language features Data types 4. Entry and Exit 5. Flow Control - Bleeding Conditional - Loops 6. Functions, Libraries and Modules

Learning activities and methodology

Acquisition of theoretical and practical knowledge (3 ECTS) with theoretical classes, tutorials, to forums and chats of the global classroom platform, seminars and workshops on tools, problem solving the case studies, both individually and in groups Acquisition of competences and skills (3 ECTS) in solving problems, proposing a solution, writing the pseudocode, programming in python and presenting the solution to the class.. The days and hours of the tutorials can be viewed in the space dedicated to the subject in Aula Global

Assessment System

- Exam: 50%. Given that this subject has a large component of presentation of new knowledge, the acquisition of cognitive and attitudinal skills is of great importance. The evaluation system is based mainly on the measurement of these competences. These competences are med

- Continuous evaluation: Exercises and Practice: 50%.
The instrumental competences are evaluated through the resolution of different practical cases. The practices are developed throughout the course and will be practices to sole in team and practices to be solved  all alone. Thus there will be an individual practice that will have a weight of 20% and a team practice that will weigh 30%.

% end-of-term-examination 50
% of continuous assessment (assigments, laboratory, practicals...) 50

Basic Bibliography

Peña, Rosalía. Resolución de problemas para ingenieros con Python® estructurado. ibergaceta. 2016

Electronic Resources *

· The Python Wiki : http:// //wiki.python.org/moin/FrontPage
Bartolomé Sintes Marco · Esta página forma parte del curso Introducción a la programación con Python : http:// //www.mclibre.org/consultar/python/

(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN

The course syllabus and the academic weekly planning may change due academic events or other reasons.