NUMERICAL ANALYSIS

Course Information
TitleΑΡΙΘΜΗΤΙΚΗ ΑΝΑΛΥΣΗ / NUMERICAL ANALYSIS
CodeNCO-03-02
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorAnastasios Tefas
CommonNo
StatusActive
Course ID40002933

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

Registered students: 247
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪCompulsory Course325
Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600121197
Course Type 2016-2020
  • Background
  • General Knowledge
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge on Algebra, Calculus and Programming are required.
Learning Outcomes
Objectives: Familiarization with approximation methods and techniques for the task of manipulating difficult computational problems connected to different science domains. Competences: The ability and facility to combine tools of Mathematical Αnalysis with techniques and methodologies of Computer Science for the task of reducing computational complexity. Learn programming by studying and avoiding errors in computations.
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
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Error Analysis in calculations and round-off errors. Numerical solution of non linear equations. Numerical linear algebra. Interpolation theory. Splines. Optimization-least squares approximation. Numerical differentiation and integration. Numerical methods for ordinary differential equations. Applications using mathematical software (Python/Matlab).
Keywords
Numerical Analysis
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
Description
Slides, demos, videos, code examples.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures108✓
Project45✓
Written assigments12✓
Total165
Student Assessment
Description
Written exams on the covered material with emphasis on topics taught after the mid-term exams (book, lecture notes, presentations, exercises) (50% of the final grade). A mid-term exam on topics that have been covered until this point (20% of the final grade). Programming/theoretical exercises every month (30% of the final grade).
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Summative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Report (Formative, Summative)
  • Mid-term
Bibliography
Course Bibliography (Eudoxus)
1. Γ.Δ. Ακριβής και Β.Α. Δούγαλης. Εισαγωγή στην Αριθμητική Ανάλυση. Πανεπιστημιακές Εκδόσεις Κρήτης, 2006. 2. G.E. Forsythe, M.A. Malcolm and C.B. Moler. Αριθμητικές Μέθοδοι και Προγράμματα για Μαθηματικούς Υπολογισμούς. Πανεπιστημιακές Εκδόσεις Κρήτης, 2006.
Additional bibliography for study
1. Numerical Analysis. Timothy Sauer. Addison Wesley, 2006.
Last Update
12-10-2020