INTELLIGENT AUTONOMOUS SYSTEMS

Course Information
TitleΕΥΦΥΗ ΑΥΤΟΝΟΜΑ ΣΥΣΤΗΜΑΤΑ / INTELLIGENT AUTONOMOUS SYSTEMS
CodeNIS-08-01
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorDimitrios Vrakas
CommonNo
StatusActive
Course ID40002975

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 158
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ845

Class Information
Academic Year2024 – 2025
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600259911
Course Type 2021
Specialization / Direction
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
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.
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
  • Generate new research ideas
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Robotic Systems, Sensing and Perception, Actuators and Effectors, Motion Control, Reactive Model for Autonomy, Bug Algorithms, Localization and Mapping, Path Planning, Simbad and Webots Simulation Environments.
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Reading Assigment51
Tutorial30
Project30
Total150
Student Assessment
Description
Written Exams weighting 70%. Projects weighting 30%. 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)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [21359]: ΒΑΣΙΚΕΣ ΑΡΧΕΣ ΡΟΜΠΟΤΙΚΗΣ, MAJA J. MATARIC Βιβλίο [32997955]: ΡΟΜΠΟΤΙΚΗ, SICILIANO,SCIAVICCO,VILLANI,ORIOLO
Additional bibliography for study
Συμπληρωματικές σημειώσεις (διαφάνειες μαθήματος)
Last Update
19-10-2022