Course syllabus adopted 2020-02-12 by Head of Programme (or corresponding).
Overview
- Swedish nameIntelligenta agenter
- CodeTME285
- Credits7.5 Credits
- OwnerMPCAS
- Education cycleSecond-cycle
- Main field of studyEngineering Physics
- DepartmentMECHANICS AND MARITIME SCIENCES
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 11120
- Maximum participants80
- Open for exchange studentsYes
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0116 Examination 7.5 c Grading: TH | 7.5 c |
|
In programmes
- 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)
- MPHPC - HIGH-PERFORMANCE COMPUTER SYSTEMS, MSC PROGR, Year 1 (elective)
- MPSYS - SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 1 (elective)
Examiner
Mattias Wahde- Full Professor, Vehicle Engineering and Autonomous Systems, Mechanics and Maritime Sciences
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)