The purpose of the course is to look at computational concepts to model artificial and natural phenomena - e.g., man-made designs, biological forms, activities in a city or urban condition, environmental behavior - with emphasis to examining in simple to potentially massively parallel worlds through concepts in shape grammars, cellular automata, agent-based computation and simulation, fractals, L- and other rule-based systems. If time permits that courses will touch upon chaos and adaptation theory, including learning, genetic algorithms, evolutionary algorithms and neural networks. Normally, these topics require mathematical sophistication, however, the purpose of this edition of the course is to develop material at as simple a level as possible. The course is project based. Students are expected to examine a topic of their choice pertinent to the subject matter of this course as well to their own research directions. Although programming experience is not essential, an understanding of computing or programming will be helpful and may be necessary for certain topics chosen as the student¿s module.