Credits: 5

Schedule: 24.02.2020 - 04.05.2020

Teaching Period (valid 01.08.2018-31.07.2020): 

IV - V 2018-2019 (Spring), IV - V 2019-2020 (Spring)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The main objective is to understand the nature of complex systems. The course provides tools to measure, analyse, and understand the extremely complex ecosystem of communications in which technical, social and economic aspects are intermixed in a dynamic way.

Content (valid 01.08.2018-31.07.2020): 

The main topics are:
1) The complexity of simple, chaotic and extremely complex systems.
2) System interventions and the metrics used to measure the success of the interventions.
3) The role of human behavior and Quality of Experience in communication ecosystems.
4) Value of services, willingness to pay and the long tail model.
5) Prisoners dilemma and tragedy of commons, selfish and co-operative strategies in the context of communications networks and services.
6) Zero-sum games and the mixed strategy with real-life applications.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Examination, Assignments.

Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation): 

Course points can be collected from

* small assignments and experiments made during the lectures

* two group works

* personal assignments

* mid-term exam

* final exam

Course grade depends on the total number of points.
The maximum number of points is about 100.  

Workload (valid 01.08.2018-31.07.2020): 

Contact hrs 67 h
Independent study 60 h

Details on calculating the workload (applies in this implementation): 

Lectures and other contact teaching: 28 h

Group works: 12 + 12 h

Personal assignments: 12 h

Reading: 60 h

Study Material (valid 01.08.2018-31.07.2020): 

K. Kilkki (2012), An Introduction to Communications Ecosystems (partly), available at

Substitutes for Courses (valid 01.08.2018-31.07.2020): 


Course Homepage (valid 01.08.2018-31.07.2020):

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 


Further Information (valid 01.08.2018-31.07.2020): 

Language class 3: English

Details on the schedule (applies in this implementation): 

Preliminary program:
24.2. Introduction                
28.2. Lecture: Patterns P1 – P6 (Mind, biases)
  2.3. Lecture: Patterns P7 – P12 (Behavior)                    
  6.3. Lecture: Patterns P13 – P18 (Systems)
  9.3. Midterm exam                
13.3. Group work I info & Mental model & Automaticity
16.3. Bad > Good & Social mind                       
20.3. Choice-supportive bias & Fundamental attribution error & Regret avoidance
23.3. Metrics & Plan B             
27.3. Prisoner’s dilemma
& Tit for Tat
30.3. Network effect & Mixed strategy                                        
  3.4. Group work I results; Group work II info
  6.4. Butterfly effect & Fixes that fail             
17.4. Silos & Long tails
20.4. Bubbles (Beer game)    
24.4. Group work II results
  4.5. Final exam


Registration and further information