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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
TME285 - Intelligent agents
Intelligenta agenter
 
Syllabus adopted 2019-02-14 by Head of Programme (or corresponding)
Owner: MPCAS
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: Second-cycle
Major subject: Engineering Physics
Department: 30 - MECHANICS AND MARITIME SCIENCES


Teaching language: English
Application code: 11116
Open for exchange students: Yes
Maximum participants: 80

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0116 Examination 7,5 c Grading: TH   7,5 c   Contact examiner,  Contact examiner,  Contact examiner

In programs

MPALG COMPUTER SCIENCE - ALGORITHMS, LANGUAGES AND LOGIC, MSC PROGR, Year 1 (elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 1 (compulsory elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 2 (elective)
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 1 (elective)
MPHPC HIGH-PERFORMANCE COMPUTER SYSTEMS, MSC PROGR, Year 1 (elective)

Examiner:

Mattias Wahde

  Go to Course Homepage


Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

Engineering mathematics and (preferably object-oriented) programming.

Aim

The aim of the course is for the students to gain knowledge regarding human-machine interaction, in general, and intelligent (software) agents, in particular. Such systems are relevant in many different fields, such as driving assistance, health and elderly care, finance etc.

Learning outcomes (after completion of the course the student should be able to)

After completing the course, the students should be able to
  • Implement (i C# .NET) and use various methods for image and video processing, speech synthesis, and speech recognition
  • Put together various components (e.g. image processing, speech synthesis, dialogue etc.) to generate a complete software agent.
  • Implement (in C# .NET) and use various advanced stochastic optimization methods in connection with intelligent agents
  • Describe and compare various different applications of intelligent agents

Content

  • Programming in C# .NET for intelligent agents (throughout the course)
  • Advanced methods in stochastic optimization
  • Image processing
  • Speech synthesis
  • Speech and voice recognition
  • Human-machine dialogue
  • Applications (various)

Organisation

The course runs over one quarter and is organized as a series of lectures combined with project work. The projects are carried out either in pairs or by one student alone.

Literature

A compendium (to be completed in Dec. 2016) and a selection of scientific papers.

Examination including compulsory elements

The examination is based on a project (a report should be handed in before the end of the course) as well as a written exam at the end of the course.


Page manager Published: Thu 04 Feb 2021.