Pattern Recognition

Course Information
TitleΑναγνώριση Προτύπων / Pattern Recognition
Code109
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorPanagiotis Petrantonakis
CommonYes
StatusActive
Course ID600001074

Programme of Study: Electrical and Computer Engineering

Registered students: 126
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses955
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses955
TELECOMMUNICATIONSElective Courses955
Class Information
Academic Year2022 – 2023
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600217970
Course Type 2021
Specialization / Direction
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)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Pattern recognition focuses on the design of systems capable of extracting patterns from data. Issues related to feature extraction, error estimation and model statistics are also discussed. State-of-the art fields such as Machine learning, Data mining, Computer vision and Human Computer Interaction employ Pattern Recognition principles. Topics covered within the context of the course: a) Introduction to Pattern Recognition principles b) Data preprocessing and exploration c) Classification d) Clustering e) Dimensionality reduction
Keywords
Data Analysis, Classification, Clustering, Pattern recognition
Educational Material Types
  • Slide presentations
  • Book
  • Projects
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Description
E-learning, a moodle-based system has been customized by the university IT team. It allows instructors to post announcements, communicate with students, upload lectures, exercises and their solutions, set up and run course projects. E-learning also supports a Forum for coursework discussion.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3✓
Reading Assigment160.5✓
Tutorial270.9✓
Written assigments441.5✓
Exams240.8✓
Total1505
Student Assessment
Description
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative)
  • Written Exam with Short Answer Questions (Formative)
  • Written Exam with Extended Answer Questions (Formative)
  • Written Assignment (Summative)
  • Oral Exams (Formative)
  • Written Exam with Problem Solving (Formative)
  • Report (Formative)
Bibliography
Course Bibliography (Eudoxus)
1. Τίτλος Συγγράμματος: «Αναγνώριση Προτύπων», Συγγραφέας: Σ. Θεοδωρίδης, Κ. Κουτρουμπάς, Εκδόσεις: 2011 Πασχαλίδης ή BROKEN HILL PUBLISHERS LTD ISBN: 9789604891450, Κωδικός Βιβλίου στον Εύδοξο: 13256974 2. Τίτλος Συγγράμματος: «Εισαγωγή στην εξόρυξη δεδομένων», Συγγραφέας: Tan Pang - Ning,Steinbach Michael,Kumar Vipin, Εκδόσεις: Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε. 2010, ISBN: 978-960-418-162-9, Κωδικός Βιβλίου στον Εύδοξο: 18549105 3. Τίτλος Συγγράμματος: «Αναγνώριση Προτύπων», Συγγραφέας: Μ. Στρίντζης, Εκδόσεις: Κυριακίδη 2007, ISBN: 978-960-343-290-6, Κωδικός Βιβλίου στον Εύδοξο: 6378
Additional bibliography for study
Τίτλος Συγγράμματος: «Εισαγωγή στην αναγνώριση προτύπων με Matlab» Συγγραφέας: THEODORIDIS S., PIKRAKIS A., KOUTROUMBAS K., CAVOURAS D. Εκδόσεις: 2011 Πασχαλίδης ή BROKEN HILL PUBLISHERS LTD ISBN: 9789604890231 Κωδικός Βιβλίου στον Εύδοξο: 13256624 Τίτλος Συγγράμματος: «Αναγνώριση Προτύπων», Συγγραφέας: Μ. Στρίντζης Εκδόσεις: Κυριακίδη 2007 ISBN: 978-960-343-290-6 Κωδικός Βιβλίου στον Εύδοξο: 6378
Last Update
22-12-2022