Planning, Scheduling and Constraint Solving

Course Information
TitleΣχεδιασμός, Χρονοπρογραμματισμός και Επίλυση Περιορισμών / Planning, Scheduling and Constraint Solving
CodeAI206
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorDimitrios Vrakas
CommonYes
StatusActive
Course ID600016309

Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) MF

Registered students: 2
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization217.5

Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) PF

Registered students: 14
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization217.5

Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600132051
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction)
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
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • 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
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Reading Assigment123
Project60
Exams3
Total225
Student Assessment
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)
  • Performance / Staging (Summative)
  • Written Exam with Problem Solving (Summative)
  • Report (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
"Automated Planning: Theory and Practice", M. Ghallab, D. Nau, P. Traverso
Additional bibliography for study
"Automated Planning: Theory and Practice", M. Ghallab, D. Nau, P. Traverso
Last Update
12-10-2020