Course Catalog 2007-2008

SGN-6307 COMPLEX SYSTEMS I, 3 cr
Complex Systems I

Courses persons responsible
Olli Yli-Harja

Lecturers
Juha Kesseli

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - - 2 h/week 2 h/week -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Introduce the field of complex Systems with examples. Introduce and practice some of the basic tools necessary for Complex Systems modeling. Deveop a systemic view of engineering problems and methods. Encourage systemic and skeptical thinking. Prepare students for advanced courses (e.g. Complex Systems 2 seminar series in the spring, Agent-Based Modeling in the winter and projects e.g. thesis work) in Complex Systems and related fields.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Modeling complex systems with examples in various fields of science.       
2. Mathematical tools in complex systems.  Fractals, iterated maps, no-linear dynamics, chaos, cellular automata, power laws, complex networks, autonomous agents, game theory, agent based modeling.     
3. Systemic view of engineering problems and methods.       

Requirements for completing the course
Written examination and attendane of lectures (min. 50%)

Evaluation criteria for the course

  • Examination. Students may earn extra points for the exam with laboratory exercises.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Lecture slides Lecture slides Lecturers       Yes  English 

    Prerequisites
    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    Basic math courses passed.

    Remarks

  • The course is suitable for postgraduate studies.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In compiling exercise, group or laboratory work
    - In distributing and/or returning exercise work, material etc

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 35 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 65 %

    Scaling
    Methods of instructionHours
    Lectures 72
    Total sum 72

    Additional information related to course
    Complex System is a multidisciplinary research topic and a problem solving strategy that acknowledges the limitations of analytical, single-paradigm mathematical models and strategically complements them by simulations, algorithms and multi-paradigm models. The course addresses the challenges of the field by introducing a variety of analytical and simulations tools, methodologies, and some archetypes of complex systems in the form of lectures and laboratory exercises.

    Correspondence of content
    SGN-6306 Complex Systems I

    Course homepage

    Last modified 18.04.2007
    Modified bySari Peltonen