Hogeschool Gent
Geraard de Duivelstraat 5 - 9000 Gent
Tel: 09 243 33 33 - E-mail: info@hogent.be
Website: www.hogent.be
Future IT (English taught)30539/3857/1617/2/75
Study guide

Future IT (English taught)

30539/3857/1617/2/75
Academic year 2016-17
Is found in:
  • International Curriculum, programme stage 3
In other study programme:
  • Bachelor of applied Computer Science as Future IT
  • Bachelor of applied Computer Science as Future IT
  • Bachelor of applied Computer Science as Future IT
  • Bachelor of Applied Computer Science as Future IT
This is a course with serveral components.
Study load: 4 credits
Weight: 4,00
Total study time: 100,00 hours
This composite course unit exists of following parts:
  • (Partial Module) Topics (2 credits - weight: 2,00)
  • (Partial Module) Artificial Intellligence (2 credits - weight: 2,00)
Possible deadlines for learning account: see deadlines of the components of the course unit.

Organisation of education

Future IT (English taught)
Parts of the course unit:
(Partial Module) Topics
Teaching Activities, Learning Activities, Assessment Activities
Lecture12,00 hours
Self-study38,00 hours
Seminar
Supervised independent work
(Partial Module) Artificial Intellligence
Teaching Activities, Learning Activities, Assessment Activities
Lecture
Self-study26,00 hours
Seminar24,00 hours
Supervised independent work
The result is calculated on the basis of the quotations for parts of this course, which is rounded to an integer.
Part of the course unitGrading?Re-sit exam possible?When retaken?
(Partial Module) Topicsout of 20 (rounded to an integer)YesOnly if not successful
(Partial Module) Artificial Intellligenceout of 20 (rounded to an integer)YesOnly if not successful
It is not possible to enrol in this course unit under
  • exam contract (to obtain a credit).
  • exam contract (to obtain a degree).
Special admission is required to enrol in this course unit under credit contract.
Co-ordinator: Lievens Stijn
Other teaching staff: Asselberg Marc
Language course: No
Languages: Dutch
Scheduled for: Semester 1

Objectives

Parts of the course unit:
(Partial Module) Topics
Contact with and networking within the industry is paramount. That’s why we invite specialists from the field to give lectures concerning topics that relate to curriculum courses. Further, we will regularly visit trade fairs to attend lectures, make contacts etc. Some of the lectures by international speakers will be delivered in either English or French. For each lecture, the students have to write a succinct commentary and for one of the lectures they have to write a longer, critical, paper.
(Partial Module) Artificial Intellligence
Studying of problems, techniques, models and solutions from knowledge technology.
Insight in the current state of the art.
Understanding the software agent paradigm.
Confrontation with and discussion about ethical and philosophical aspects of AI and recent developments in ICT.

Contents

Parts of the course unit:
(Partial Module) Topics
Lectures given by guest speakers, visits to trade fairs
(Partial Module) Artificial Intellligence
Defining and situating artificial intelligence.
The software agent paradigm.
Techniques of machine learning.
Introduction to speech and language processing.
Ethical and philosophical aspects of AI.

Order of enrolment

There are no prerequisites for this course.

Prerequisites

Parts of the course unit:
(Partial Module) Topics
general competences professional bachelor 2TI
(Partial Module) Artificial Intellligence
probleming solving II, general competences professional bachelor 2TI

Final objectives

Parts of the course unit:
(Partial Module) Topics

Partial Competence 1: summarizing (AC2)

Indicators:

  • The student is able to write a succint yet complete summary of a lecture.


Partial Competence 2: Critical Thinking (AC7)

Indicators:

  • The student is able to write a critical paper about one of the discussed subjects

(Partial Module) Artificial Intellligence

Partial competence 1: problem solving  (AC1)

Indicators:

1.1.0The student knows specific knowledge technology structures and methods and is able to analyse them

Partial competence 2: development of intelligent systems (AC1)

Indicators:

2.1. The student knows some techniques for classification and clustering

2.2. The student understands the structure and the operation of different types of software agents

2.3. The student understands machine learning techniques and is able to analyse these.


Organisation of education

Parts of the course unit:
(Partial Module) Topics
Lectures, visits to trade fairs
(Partial Module) Artificial Intellligence
Seminar.

Study guidance

Parts of the course unit:
(Partial Module) Topics
Individual learning problems may be reported to the lecturer and will be remedied.
(Partial Module) Artificial Intellligence
Individual learning problems may be reported to the lecturer and will be remedied.

Evaluation

Parts of the course unit:
(Partial Module) Topics

First exam period:

  • non period bounded evaluation : 100% (paper)
  • period bounded evaluation : 0%

Second exam period:

  • non period bounded evaluation : 100% (paper)
  • period bounded evaluation : 0%
(Partial Module) Artificial Intellligence
  • First exam session:
    • period bound evaluation: 100% (written exam, closed book)
    • non-period bound evaluation: 0%
  • Second exam session:
    • period bounded evaluation : 100% (written exam, closed book)
    • non-period bound evaluation: 0%

Study costs

Parts of the course unit:
(Partial Module) Topics
Cost lectures/trade fairs : max 10€
(Partial Module) Artificial Intellligence

Book (optional) : 70€

Cost seminars and excursions exclusive

Cost gastlecture : max 10€

Key words

Parts of the course unit:
(Partial Module) Topics
trends, innovation, IT, technology
(Partial Module) Artificial Intellligence
Artificial Intelligence
IWETO-code: P175 - informatica, P176 – artificial intelligence, P170 - computerwetenschappen