MATHEMATICAL MODELING

Course Information
TitleΜΑΘΗΜΑΤΙΚΗ ΜΟΝΤΕΛΟΠΟΙΗΣΗ / MATHEMATICAL MODELING
CodeNGE-06-01
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorNikolaos Tsitsas
CommonNo
StatusActive
Course ID600018377

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 26
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ635

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600155599
Course Type 2016-2020
  • Background
  • General Knowledge
Course Type 2011-2015
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
Cognitive: the students get acquainted with basic techniques on Mathematical Modeling which are exploited in several branches of Computer Science. Skills: the students understand in depth basic techniques on Mathematical Modeling serving procedures, implementations and applications in computational and communications systems.
General Competences
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
Course Content (Syllabus)
--Mathematical modeling of discrete and continuous processes --Partial Differential Equations (PDEs) with applications --Implementations by using mathematical software
Keywords
Discrete and Continuous Processes, Partial Differential Equations, Modeling
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 Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Reading Assigment30
Project48
Exams3
Literature Study30
Total150
Student Assessment
Description
There will be two tests and the students can pass the course if they have grade greater than 5 in each one of these tests.
Student Assessment methods
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Ανάλυση Fourier, Μurray R. Spiegel, 978-960-7610-26-3, 1978, 2517. 2. Ανώτερα Μαθηματικά, Schaum Wrede Robert C., Spiegel Murray R., 960-418-087-8, Τζιόλα 2006, 2η εκδ., 18548794
Additional bibliography for study
Σημειώσεις παραδόσεων του διδάσκοντα και ηλεκτρονικό βιβλίο ανοικτής πρόσβασης: Ν. Λ. Τσίτσας, 2016, Εφαρμοσμένα Μαθηματικά (Διαφορικές Εξισώσεις, Μιγαδικές Συναρτήσεις και Ανάλυση Fourier) [ebook] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών, Available Online at: http://hdl.handle.net/11419/1131
Last Update
11-10-2020