This page last updated 23 February 2003
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University of London
MSc Course in Cybernetics
(Organiser: Dr H. Fatmi)
Please note that this course is no longer running
Principles and methods of cybernetics (60 1ectures/tutorials/seminars). Two Terms Lecturers: Dr Fatmi, Dr Khalalafalla, Mr Mathams, Professor Aleksander.
Principles of cybernetics. Entropy and information. Feedback. Prediction of deterministic and random events. Automata theory.
Theory of messages. Information flow in a cybernetic system. Introduction to communication theory.
Correction of errors. Reliability.
Methods of cybernetics. Logical and mathematical techniques used in prediction, simulation, coding and filtering.
Information processing methods used in cybernetics.
Cybernetic models. Simulation of cybernetic behaviour by electronic models with examples from psychology and biology.
Applications of Cybernetics (60 lectures/tutorials/seminars). Two Terms.
Lecturers: Dr Fatmi, Dr Khalafalla, Professor Pask, Professor Niblett.
Applications in industry. Design of industrial experiments and operations. Inspection of the quality of products. Applications in forecasting in biology and medicine. Applications in management planning, policy making, legislation.
Engineering cybernetics. Automation of primary industries and factories.
Automation examples from education, law, economics, government and management.
Cybernetic machines, devices and systems (30 lectures/tutorials/seminars). One Term. Lecturers: Dr Fatmi, Professor Sayers, Professor Aleksander, Professor Cherry, Professor Houldin.
Theory, design and performance of various cybernetic machines, devices & systems, including interpolators, extrapolators, cognitive machines, pattern recognition machines, learning and self-reproducing machines and microprocessors.
Design of artificial intelligence as an aid in decision making, language processing and text analysis. The Lecturer's dilemma.
(2-3 hours per week for two years). Projects/Essays/Quizzes.
1. Investigation of the learning process in self-organising systems.
2. Simulation of a biological neurone by electronic modules, computers or microprocessors.
3. Forecasting of events by Gabor-Kolmogorov predictors.
4. Cybernetic approach to the design of a universal machine.
5. Prediction of stationary time-series using optical methods.
6. Design of a reading device for the blind.
7. Investigation of real, apparent and artificial intelligence.
8. Design of a robot for the automobile industry.
9. Mechanisms and models of perception.
10. Making a machine understand English.
11. Investigation of automata theory and its role in the modelling of intelligent mechanisms.
12. Investigation of problem solving methods.
13. Representations of :knowledge on a cybernetic machine.
14. Investigation of search procedures in a cybernetic machine.
15. Analysis of language texts.
16. Analysis of biological signals using cybernetic devices.
17. The problems of man-machine communication.
18. Logical foundations of cybernetics.
19. Cybernetic modelling of social systems.
20. Cybernetic approach to pattern recognition.
(2-3 hours per week for two years). 30-50,000 words approx.
Allocation of marks (Based upon 10 hours per week student involvement)
Cybernetics I 20%
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