Linear Algebra

Course Information
TitleΓΡΑΜΜΙΚΗ ΆΛΓΕΒΡΑ / Linear Algebra
Code0108
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CommonNo
StatusInactive
Course ID40003319

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

Registered students: 625
OrientationAttendance TypeSemesterYearECTS

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours6
Class ID
600121383
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course the students will be able to i) use matrices as tools for theoretical and arithmetical calculations ii) to compute rank of a matrix iii) to compute determinants iv) to solve systems of linear equations v) to understand and use notions of vector spaces vi) to compute eigenvalues and eigenvectors vii) to diagonalize matrices viii) to compute orthonormal bases and orthonormal projections to subspaces ix) to diagonalizer symmetric matrices with the use of orthogonal matrices
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
  • Appreciate diversity and multiculturality
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Matrix Algebra, Gaussian elimination, Determinants, Vector Spaces, Linear Combinations, Subspaces, Linear dependence and independence, Bases, Dimension, Linear transformations, Linear transformations and matrices, Systems of linear equations, Eigenvalues, Eigenvectors, EigenSpaces, Diagonalization of endomorfisms and matrices, Cayley-Hamilton theorem, Inner product vector psaces, Gram-Schmidt orthogonalization, orthogonal complement, adjoint endomorfism.
Keywords
vector spaces
Educational Material Types
  • Notes
  • 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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1043.5
Laboratory Work260.9
Reading Assigment561.9
Tutorial521.7
Exams30.1
Total2418.0
Student Assessment
Description
Written examination. Lab.
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
1.Γραμμική Άλγεβρα, Θ. Θεοχάρη-Αποστολίδη, Χ. Χαραλάμπους, Χ. Βαβατσούλας, ΤΖΙΟΛΑ, 2017 2.Γραμμική άλγεβρα, Ε. Ψωμόπουλος, ISBN: 978-960-456-424-8, ΖΗΤΗ, 2014 3.Μία Εισαγωγή στη Γραμμική Άλγεβρα, A.O.MORRIS, ISBN: 978-960-7258-55-7, ΠΝΕΥΜΑΤΙΚΟΣ 4.Εισαγωγή στη Γραμμική Άλγεβρα, Σ. Μποζαπαλίδης, ISBN: 978-960-99293-5-6, ΑΙΒΑΖΗΣ, 2010 5.Ασκήσεις Γραμμικής Άλγεβρας, Σ. Μποζαπαλίδης, ΑΙΒΑΖΗΣ, 2010 6.Μία Εισαγωγή στη Γραμμική Άλγεβρα, Δ. Βάρσος, Δ. Δεριζιώτης, Γ. Εμμανουήλ, Μ. Μαλιάκας, Α. Μελάς, Ο. Ταλλέλη, ISBN: 978-960-6706-36-3, ΣΟΦΙΑ, 2012 7.Γραμμική Άλγεβρα και Εφαρμογές, S. Gilbert, ISBN: 978-960-524-7309-70-9, Πανεπιστημιακές Εκδόσεις Κρήτης 8. Μία Εισαγωγή στη Γραμμική Άλγεβρα, Χ. Χαραλάμπους, Α. Φωτιάδης, ISBN: 978-960-603-273-8, [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών, ID Ευδόξου: 320185
Last Update
22-04-2019