PLANNING AND SCHEDULING

Course Information
TitleΣΧΕΔΙΑΣΜΟΣ ΚΑΙ ΧΡΟΝΟΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ ΕΝΕΡΓΕΙΩΝ / PLANNING AND SCHEDULING
CodeIS03
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorDimitrios Vrakas
CommonNo
StatusActive
Course ID40002248

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 5
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses belonging to the selected specialization217.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses217.5
DIKTYAKA SYSTĪMATAElective Courses217.5

Programme of Study: PPS of School of Informatics (2013-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Information SystemsCompulsory Course217.5
Information And Communication Technologies In EducationElective Courses217.5
Digital MediaElective Courses217.5
Communication Systems and TechnologiesElective Courses217.5

Programme of Study: PPS Informatics 2

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Information SystemsCompulsory Course217.5
Information and Communication Technologies in EducationElective Courses217.5
Digital MediaElective Courses217.5
Communication Systems and TechnologiesElective Courses217.5
Class Information
Academic Year2016 – 2017
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600039963
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Good background in Artificial Intelligence, Programming skills.
Learning Outcomes
Introduction to the research areas of Planning, Scheduling and Constraint Satisfaction. Acquiring basic knowledge in the above areas. Study of various algorithms, Acquiring skills for problem representation and solving. Use of integrated tools for representation, solving and studying.
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
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The course focuses on the following areas of Artificial Intelligence: Automated Planning, Scheduling and Constraint Satisfaction. It begins by introducing the above areas, then it analyzes the knowledge representation methods that facilitate problem formation and presents algorithms and methodologies for solving the problems. During the course practical applications of the theoretical notions are illustrated and a thorough presentation of the cooperation between the three areas are given.
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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures903✓
Fieldwork451.5
Reading Assigment903✓
Other / Others
Total2257.5
Student Assessment
Description
Written Examination (percentage 50%), Projects (percentage 20%), Programming project(percentage 30%).
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
Additional bibliography for study
"Automated Planning: Theory and Practice", M. Ghallab, D. Nau, P. Traverso
Last Update
15-03-2016