Statistical Analysis of Networks

Course Information
TitleΣτατιστική Ανάλυση Δικτύων / Statistical Analysis of Networks
CodeΔ2
Interdepartmental ProgrammeComplex Systems and Networks
Collaborating SchoolsMathematics
Biology
Geology
Economics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorNikolaos Farmakis
CommonNo
StatusActive
Course ID40003434

Programme of Study: Complex Systems and Networks

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course1110

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Class ID
600126125
Course Type 2016-2020
  • General Knowledge
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Prerequisites
General Prerequisites
Knowledge of basic concepts of Statistics (mean, variance, standard deviation, coefficient of variation) and Matrix theory.
Learning Outcomes
1) Manage comfortably Statistical data from networks. 2) analyze time series data. 3) They plan and carry out simple form Sampling (Simple random Sampling, Systematic Sampling, Stratified Sampling, etc.)
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 an international context
  • Work in an interdisciplinary team
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
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 Laboratory Teaching
  • Use of ICT in Communication with Students
Description
The course is conducted with the support / Y and running parallel slides power point. Part of the material is delivered in electronic form via the Internet (Email, Drop Box, etc.) Part of the material contained in the proposed literature.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures40.1
Laboratory Work20.1
Reading Assigment20.1
Tutorial20.1
Field trips and participation in conferences / seminars / activities20.1
Total120.4
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
"Στατιστική, Περιληπτική Θεωρία Ασκήσεις", Ν. Φαρμάκης, Εκδόσεις Α & Π Χριστοδουλίδη, Θεσσαλονίκη 2001 "Εισαγωγή στη Δειγματοληψία", Ν. Φαρμάκης, Εκδόσεις Α & Π Χριστοδουλίδη, Θεσσαλονίκη 2009 "Δημοσκοπήσεις και Δεοντολογία",Ν. Φαρμάκης Εκδόσεις Α & Π Χριστοδουλίδη, Θεσσαλονίκη 2009
Last Update
08-11-2015