6 ECTS credits
150 u studietijd

Aanbieding 1 met studiegidsnummer 4004728DNR voor alle studenten in het 2e semester met een inleidend master niveau.

Semester
2e semester
Inschrijving onder examencontract
Niet mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Ja
Onderwijstaal
Engels
Onder samenwerkingsakkoord
Onder uitwisselingsakkoord mbt studiedelen
Faculteit
Faculteit Ingenieurswetenschappen
Verantwoordelijke vakgroep
Elektronica en Informatica
Onderwijsteam
Lesley De Cruz (titularis)
Onderdelen en contacturen
0 contacturen Exam
36 contacturen Lecture
24 contacturen Practical exercises
Inhoud

Search-based AI
Learning of concepts (decision trees)
Bayesian Learning
Neural Networks
Stochastic Reasoning

Evolutionary algorithms


 

 

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : slides, http://ai.vub.ac.be/courses/2014-2015/techniques-artificial-intelligence
Bijkomende info

Slides are available at http://ai.vub.ac.be/courses/2014-2015/techniques-artificial-intelligence

For the lecture on state space search, there are many good introductory books, for example:
Handbook Artificial Intelligence: A Modern Approach, by Russel and Norvig (http://aima.cs.berkeley.edu/)
or
Handbook The essence of Artificial Intelligence, by Alison Cawsey (http://www.macs.hw.ac.uk/~alison/essence.html) (Chapters 1-4)

 

Leerresultaten

Algemene competenties

Knowlegde and insight
The student is acquainted with the most commonly used AI techniques, including learning algorithms. 

The student can correctly trace a learning algorithm on a small data set or environment.
The student is capable of applying evaluation techniques to estimate the performance of the obtained results and to calculate the performance of an algorithm given a concrete application context.

The use of knowledge and insight: 
The student can explain the outcome of a given algorithm when applied in a given setting.

The student is able to choose the appropriate techniques given a concrete learning problem, to apply them correctly and to evaluate the obtained results.

Judgement ability
The student must be able to devise and sustain arguments in favor of against some choice of (learning-) technique for a given problem. 


Communication
He/she can motivate the chosen approach to specialist and non specialists.

Skills
Students have obtained the skills to autonomously develop, program, analyse, and apply learning techniques to a wide variety of problems.

This course contributes to the following programme outcomes of the Master in Applied Computer Sciences:

MA_A: Knowledge oriented competence

1. The Master in Engineering Sciences has in-depth knowledge and understanding of exact sciences with the specificity of their application to engineering
3. The Master in Engineering Sciences has in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes
4. The Master in Engineering Sciences can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
5. The Master in Engineering Sciences can conceive, plan and execute a research project, based on an analysis of its objectives, existing knowledge and the relevant literature, with attention to innovation and valorization in industry and society
6. The Master in Engineering Sciences can correctly report on research or design results in the form of a technical report or in the form of a scientific paper
7. The Master in Engineering Sciences can present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience
11. The Master in Engineering Sciences can think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information

MA_B:  Attitude

13. The Master in Engineering Sciences has a critical attitude towards one’s own results and those of others

Beoordelingsinformatie

De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Schriftelijk bepaalt 50% van het eindcijfer

WPO Praktijkopdracht bepaalt 50% van het eindcijfer

Binnen de categorie Examen Schriftelijk dient men volgende opdrachten af te werken:

  • written open book exam met een wegingsfactor 1 en aldus 50% van het totale eindcijfer.

    Toelichting: 50% open book exam.

Binnen de categorie WPO Praktijkopdracht dient men volgende opdrachten af te werken:

  • project work met een wegingsfactor 1 en aldus 50% van het totale eindcijfer.

    Toelichting: 50% project work.

Aanvullende info mbt evaluatie

50% open book exam.
50% project work.

Toegestane onvoldoende
Kijk in het aanvullend OER van je faculteit na of een toegestane onvoldoende mogelijk is voor dit opleidingsonderdeel.

Academische context

Deze aanbieding maakt deel uit van de volgende studieplannen:
Master in de wiskunde: fundamentele wiskunde
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Startplan (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Profiel Radiation Physics (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Profiel Biomechanics and Biomaterials (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Profiel Sensors and Medical Devices (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Profiel Neuro-Engineering (enkel aangeboden in het Engels)
Master of Biomedical Engineering: Standaard traject (NIEUW) (enkel aangeboden in het Engels)