Course Information
TitleΣΤΑΤΙΣΤΙΚΗ ΜΑΘΗΣΗΣ ΚΑΙ ΕΠΕΞΕΡΓΑΣΙΑ ΓΝΩΣΗΣ / Statistical Learning and Knowledge Processing
Code0531
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600016211

Programme of Study: UPS of School of Mathematics (2014-today)

Registered students: 63
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses belonging to the selected specializationWinter-5.5

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
600147647
Course Category
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Students will be able to solve statistical learning problems and evaluate the results by: 1. Regression or regression models 2. Classification and regression trees 3. Support Vector Machines 4. Neural networks
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
Educational Material Types
  • Slide presentations
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
Lectures391.3
Laboratory Work401.3
Reading Assigment832.8
Exams30.1
Total1655.5
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Oral Exams (Formative, Summative)
  • Performance / Staging (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Η Επιστήμη των Δεδομένων Κωδικός Βιβλίου στον Εύδοξο: 77120638 Έκδοση: 1η/2018 Συγγραφείς: Β, Βερύκιος, Σ. Κωτσιαντής, Η. Σταυρόπουλος, Μ. Τζαγκαράκης ISBN: 978-960-578-043-2 2. Η επιστήμη των δεδομένων μέσα από τη γλώσσα R, Συγγραφέας: Βασίλειος Βερύκιος, Βασίλειος Καγκλής, Ηλίας Σταυρόπουλος Έκδοση ebook: ΣΕΑΒ, ΚΑΛΛΙΠΟΣ (πηγή) Έτος έκδοσης: 2015 ISBN: 978-960-603-394-0 Συγγραφέας: Βασίλειος Βερύκιος, Βασίλειος Καγκλής, Ηλίας Σταυρόπουλος Έκδοση ebook: ΣΕΑΒ, ΚΑΛΛΙΠΟΣ (πηγή) Έτος έκδοσης: 2015 ISBN: 978-960-603-394-0 Εφαρμοσμένη Στατιστική, Ε. Μπόρα-Σέντα, Π. Μωυσιάδης, Ζήτη, 1990
Additional bibliography for study
Η επιστήμη των δεδομένων μέσα από τη γλώσσα R, 1. An Introduction to Statistical Learning [electronic resource], Τύπος: Ηλεκτρονικό Βιβλίο, Τόμος: 103, Gareth James / Daniela Witten / Trevor Hastie / Robert Tibshirani, 2013, Springer New York, ISBN: 9781461471387 2. The Elements of Statistical Learning [electronic resource], Τύπος: Ηλεκτρονικό Βιβλίο, Τόμος: , Trevor Hastie / Robert Tibshirani / Jerome Friedman, 2009, Springer New York, ISBN: 9780387848587
Last Update
15-03-2020