Syllabus for |
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| TME285 - Intelligent agents |
| Intelligenta agenter |
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| Syllabus adopted 2020-02-12 by Head of Programme (or corresponding) |
| Owner: MPCAS |
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7,5 Credits
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| Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail |
| Education cycle: Second-cycle |
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Major subject: Engineering Physics
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Department: 30 - MECHANICS AND MARITIME SCIENCES
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Teaching language: English
Application code: 11120
Open for exchange students: Yes
Maximum participants: 80
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0116 |
Examination |
7,5 c |
Grading: TH |
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7,5 c
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Contact examiner, |
Contact examiner, |
Contact examiner |
In programs
MPALG COMPUTER SCIENCE - ALGORITHMS, LANGUAGES AND LOGIC, MSC PROGR, Year 1 (elective)
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 1 (elective)
MPHPC HIGH-PERFORMANCE COMPUTER SYSTEMS, MSC PROGR, Year 1 (elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 2 (elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 1 (compulsory elective)
Examiner:
Mattias Wahde
Go to Course Homepage
Eligibility
General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
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)
- 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 individually by each student.
Literature
A compendium 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).