INTELLIGENT AUTONOMOUS SYSTEMS
| Title | ΕΥΦΥΗ ΑΥΤΟΝΟΜΑ ΣΥΣΤΗΜΑΤΑ / INTELLIGENT AUTONOMOUS SYSTEMS |
| Code | NIS-08-01 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Dimitrios Vrakas |
| Common | No |
| Status | Active |
| Course ID | 40002975 |
Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| GENIKĪ KATEUTHYNSĪ | YPOCΗREŌTIKO KATA EPILOGĪ | 8 | 4 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600155550
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600155550
- At the Website of the School: http://www.csd.auth.gr/course-info.php?id=83
- Other: http://pileas.csd.auth.gr/course/view.php?id=19
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge on Artificial Intelligence, Good knowledge of procedural programming.
Learning Outcomes
Training on basic principles of intelligent autonomous systems. Learning the basic compo-nents of intelligent robots. Familiarization with learning, reasoning and planning techniques for autonomous systems. Obtaining the ability to develop software for intelligent autonomous systems.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Θέματα και Προκλήσεις Αυτόνομων Συστημάτων. Ιστορικά Στοιχεία. Παραδείγματα. Αρχιτεκτονικές Ρομπότ. Βιολογική Θεμελίωση. Σχεδιασμός Ενεργειών: Ιεραρχικός Σχεδιασμός, Εύρεση Μονοπατιού, Κατάστρωση Κινήσεων. Ευφυείς Πράκτορες: Επικοινωνία, Αρχιτεκτονικές, Έλεγχος Συμπεριφοράς, Αναπαράσταση, Αρχιτεκτονικές Συστημάτων. Ευφυής Διασύνδεση με Περιβάλλον: Αισθητήρες και Εξαρτήματα δράσης. Μάθηση στα Ευφυή Αυτόνομα Συστήματα: Μάθηση με Επίβλεψη, Νευρωνικά Δίκτυα, Γενετικοί Αλγόριθμοι, Ενισχυτική Μάθηση, Μέθοδοι Monte Carlo, Μάθηση Χρονικών Διαφορών, Μάθηση Χάρτη και Προσδιορισμός Θέσης σε αυτόν.
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Slides in electronic format, software tools & videos.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 52 | ✓ | |||
| Laboratory Work | 40 | ✓ | ✓ | ||
| Reading Assigment | 40 | ✓ | |||
| Project | |||||
| Total | 132 |
Student Assessment
Description
Written Exams weighting 100%. Bonus grades from projects. The evaluation criteria are mentioned in the course webpages.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βασικές Αρχές Ρομποτικής, Maja Mataric, Κλειδάριθμος 2010 , ISBN: 960-461-354-5
Additional bibliography for study
Συμπληρωματικές σημειώσεις (διαφάνειες μαθήματος)
Last Update
13-09-2013
