INTRODUCTION TO CUMPUTATIONAL NEUROSCIENCE

Course Information
TitleΕΙΣΑΓΩΓΗ ΣΤΙΣ ΥΠΟΛΟΓΙΣΤΙΚΕΣ ΝΕΥΡΟΕΠΙΣΤΗΜΕΣ / INTRODUCTION TO CUMPUTATIONAL NEUROSCIENCE
CodeΔΔ1318
Interdepartmental ProgrammePPS Advanced Computer and Communication Systems
Collaborating SchoolsElectrical and Computer Engineering
Medicine
Music Studies
Journalism and Mass Communications
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorDimitris Kugiumtzis
CommonNo
StatusActive
Course ID600017415

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Weekly Hours26
Class ID
600183816
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
Educational Material Types
  • 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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures42
Laboratory Work8
Project24
Written assigments8
Total82
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
Bibliography
Additional bibliography for study
1. Principles of Computational Modelling in Neuroscience, David Sterratt, Bruce Graham, Andrew Gillies,Bruce Graham, 2011 2. MATLAB for Neuroscientists - An Introduction to Scientific Computing in MATLAB, Wallisch et al, Elsevier, 2014 3. The Handbook of Brain Theory and Neural Networks, Second Edition, Arbib, MIT Press, 2002 4. Dynamical Systems in Neuroscience. Eugene M. Izhikevich MIT Press, 2007 5. Mathematical Foundations of Neuroscience, G. Bard Ermentrout, David H. Terman,Springer Science & Business Media, 2010 6. Niedermeyer's Electroencephalography: Basic Principles, Clinical Applications, and Related Fields (7 ed.), Edited by Donald L. Schomer and Fernando H. Lopes da Silva, Oxford University Press, 2017 7. Quantitative EEG analysis methods and clinical applications, Shanbao Tong and Nitish Vyomesh Thakor, Boston Artech House, 2009, www.electroneurodiagnostics.org/resources/EEG-Books/QuanitativeEEG.pdf
Last Update
20-11-2019