Official Code: | 9696 |
Acronym: | L:CC |
Upon completing this course, the student should master the main concepts of Linear Algebra and Analytic Geometry. Namely, he must understand, be able to work with and use the main properties of the concepts of matrix, determinant, real vector space and linear function.
With this course, it is intended that students will know and understand
some of the main classical results of Calculus. These results, for their historical
importance in the explanation of scientific phenomena and on the resolution of scientific problems, should be known by every student of the area of science.
Study of the fundamental discrete structures that serve as a theoretical basis for the area of Computer Science/Informatics.
The students should be able to undestand how a digital computer works, including concepts in architecture and operating systems, and have a broad perspective of Computer Science.
To initiate students in imperative programming by presenting fundamental concepts of algorithmics and knowledge of the C programming language. To enable students with the ability of building algorithms from informal specifications. Introduce some fundamental algorithms.
Understanding and ability to make use of the concepts and results covered in the syllabus, namely through the resolution of exercises of practical nature.
Teach fundamental concepts and results about three computational models (finite automata, pushdown automata, Turing machines) and the related classes of formal languages, with emphasis on regular and context free languages.
Introduction to functional programming using the Haskell language.
Objectives:
Introduction to methods of solving ordinary differential equations with emphasis on equations and systems of linear differential equations.
Integral over path and Surfaces. Integral theorems of Vector Analysis.
Inverse function theorem and implicit function theorem and its main applications.
Introduce the basic working concepts for the modern computer, namely, the internal representation of programs and data, the hardware components and their interactions and, ways to evaluate its performance.
To learn techniques for designing and analyzing algorithms.
This course provides an introduction to electric circuit theory, basic analog electronics and digital systems.
This module will introduce basic concepts of interactive systems design and development, including not only theoretical concepts (usability, user centred design) but also practical ones (low fidelity prototyping via graphical user interface implementation).
To know the main topics of propositional logic and first order logic, with a special focus on automated therem proving.
This course aims to present the concepts and the basic principles of Classic Mechanics, and relativity, with emphasis on understanding and application in the analysis of real world situations . Students should have the ability to manipulate fundamental concepts and knowi how to apply them to solve problems. Students will be motivated to consider the principles of Mechanics in other areas of knowledge and in technology.
To introduce the fundamental concepts, principles and methods of statistics. Emphasis is given to the understanding of the concepts and to the critical application of the methods.
Provide the student experience in the use, administration and programming of some of the systems / applications currently used in the Windows environment. The particular focus is on the programming environment of Visual Basic for Applications.
The student should know the concepts and basic results of Group Theory and Ring Theory, both at the level of application in the classical examples of these structures and in an abstract level.
Introduce students to the fundamental theoretic and practical principals of database systems.
Objectives: Study fundamental concepts and techniques of general use for Artificial Intelligence.
To present the key concepts of the logic programming paradigm, as a declarative approach to programming, and to establish the relationship with other fields such as Compilers, Artifitial INtelligence and Data Basess.
The proposed syllabus is taught in lectures where the main concepts are introduced and practical examples are explained. During lectures students are also required to do presentations related to the topics presented in the syllabus. In the labs students will learn specific skills related to multimedia systems through the exploration of a specific topic that they have to chose from the syllabus. Students will need to surpass problems by creating a prototype of a system. Students will deploy a project and create an application that must reflect the concepts presented during the lecture. All learning outcomes will help students understand the fundamental principals of multimedia systems and have a direct correspondence to the described syllabus. It covers the state of the art technology and the necessary background to design and develop sophisticated interactive applications. This course aims to teach students how multimedia systems are currently being used in different industries.
The goal is to instill in students the same curiosity, passion to discover and desire to convey knowledge that drives researchers to explore new areas related to multimedia systems.
By the end of this course the student are expected to learn and understand state of the art technology related to the following specific concepts:
* Understand which are the principals of 3D animation based on the traditional concepts of 2D animation
* Explore the different types of motion capture systems, virtual reality and how they can work together
* Understand the main concepts related to information theory and data visualization.
* Understand the use of color, text and diagrams when representing information
* Deployment of a multimedia project, create a demo and its correspondent documentation which must reflects its result.
Understanding the roles and procedures performed by network system administrators. Presentation of general principles that further illustrated and consubstantiated with extensive laboratory practice with the implementation and maintenance of some concrete examples of flexible services in critical contexts with simulated faults.
Study and implementation of a compiler and interpreter of a programming language.
The internship has the goal to measure the capacity of students to meet the challenges of a competitive work market, and to improve the curricula of students with their future professional integration in the industry in mind. During the internship the students must develop the following capabilities:
1. integrate themselves in the work-flow processes of a company;
2. be autonomous;
3. apply the knowledge assimilated during the first three years of the course in analysing and solving problems;
To provide students with a first experience in research through an assignment in the context of a research project.
This is an introductory course on data communication networks aimed at familiarizing the students with their fundamental concepts, based on the Internet and the TCP/IP protocol stack.
The goal of this curricular unit is the familiarization of the students with the concepts and technologies used in the development of applications centered on the web.
The objective of this course is to introduce students to the conceptual models and software tools used large software development projects.
Study and comparison of different (Turing-complete) models of computation, their computational power and limitations.
After completing this course students are expected to
- know the classical models of computation;
- be able to prove the equivalence of several Turing-complete models;
- know the fundamental results and methods used in the study of computability and complexity;
- be able to classify concrete examples of problems and prove their (un)decidability within several classes of computability.
The internship has the goal to measure the capacity of students to meet the challenges of a competitive work market, and to improve the curricula of students with their future professional integration in the industry in mind. During the internship the students must develop the following capabilities:
1. integrate themselves in the work-flow processes of a company;
2. be autonomous;
3. apply the knowledge assimilated during the first three years of the course in analysing and solving problems;
To provide students with a first experience in research through an assignment in the context of a research project.
Students should:
- get familiar with techniques of operations research and constraint programming
and their application to modeling and solving deterministic and stochastic decision and optimization problems.
- develop skills for understanding computational complexity of concrete problems, and choosing algorithms, programming languages and libraries/APIs for solving them.