SIOC 216A Introduction to the Physics of Complex Systems
Winter Quarter 2020 Tu/Th 2:00-3:20PM Women's Center Conference Room
Optional Weekly Homework/Discussion meeting: TBD to meet everyone's schedule
Office Hours (tentative):
Mandeville Cafe (indoors and outdoors)
Instructor: bt werner email@example.com
20 Class Meetings
Weekly Questions on Lecture Notes/Reading
Weekly Homework problems in Octave (open source matlab)/Matlab
30 min presentation plus 15 min questions at end of quarter on a topic related to complex systems
Graded S/U (except by exception - if you need a grade to satisfy a requirement)
Goals of SIOC 216A
–acquire a solid understanding of the concepts and framework of the study of complex systems
–learn the practical methods used to model and analyze complex systems
–discuss modeling, measurement and data analysis strategies for complex systems
–survey the ways that complexity is applied in the physical, biological and social sciences.
Who should take SIOC 216A?
Although the course emphasizes concepts and basic methodologies, it is directed towards quantitatively oriented students in the physical, biological and social sciences with a research or general educational interest in ways to conceptualize, formulate and solve problems involving complicated systems AND students interested in more qualitative analysis approaches in the humanities and social sciences (some of the material on quantitative approaches to dynamics might be challenging though).
Respect for all participants in SIO 216a and their varying backgrounds, knowledge and life experience is required. SIO 216a is a safe zone for people of color, womxn, queers, alternately abled folks, economically disadvantaged people, youth, elders, those who have experienced violence, undocumented people, religious minorities and anyone, individually or as a group, who has been oppressed.
Ground Rules: The number one ground rule which we will all follow is to engage in respectful and considerate debate and discussion in the classroom. Follow the step up/step back rule.
Broad Perspectives: All participants in this class benefit from a broad range of perspectives, and the instructors of this course highly values these perspectives, especially appreciating those offered by recent immigrants and undocumented students. Support for students affected by political and legal restrictions on the free exchange of ideas and people can be sought from instructors, other students or the following:
https://cgs.ucsd.edu/resources/For%20Undocumented%20Students.html CGS undoc student services
Accommodations: If you need any accommodations for disability, illness, or other reason please see brad so we can create an accommodation plan for your success.
If you have a disability/alternate ability or condition that compromises your ability to complete the requirements of this course, please inform bt as soon as possible of your needs. brad will make all reasonable efforts to accommodate you.
English-language Learning Needs: Some students will need to utilize office hours for extra background/ direction on the material. ELL students are encouraged to consult resources at the OASIS center (858-534-3760).
Cheating and Plagiarism: Cheating and/or plagiarism are not tolerated behaviors at UCSD. If you are caught cheating or plagiarizing someone else’s work, it will result in a failing grade and your infraction will be referred to your department, division or college for disciplinary action. Sharing and collaborative work is encouraged, but please write up your assignments on your own in your own words. Any questions? Contact bt.
Class Discussions: Everyone is encouraged to commit to and participate fully in class discussions and group projects, and to honor, respect and make space for the disparate intellectual perspectives that might emerge. If you find that you are participating a lot, please step back to allow others to contribute; if you find you aren't participating as much as others, please step up and contribute more.
Technology: Please turn off cell phones, tablets, laptops and other low dissipation communications devices during class discussions, except if you are using those devices specifically for taking notes. If you need to communicate or do other work during class time, please step outside the class to do so.
--class participation and attendance 20%
--reading questions 15%
--final project/presentation 35%
1. What is Complexity? Approaches to and History of Complex Systems
2. The Tools and Concepts of Complexity
3. Assemblage Theory and Complexity
DYNAMICS APPROACH AND PATTERNS
4. Nonlinearity, Dissipation, Phase Space, Attractors, Maps and Feedbacks
5. Stability of Attractors and Bifurcations
6. Patterns, Feedbacks, Self-organization and Dynamical Slaving
7. Cellular Automata
8. Complex Adaptive Systems and Artificial Life
9. Nonlinear Optimization, Simulated Annealing and Genetic Algorithms
10. The Brain and Neural Networks
11. Routes to Deterministic Chaos, Chaotic Systems
12. Nonlinear Time Series and Spatial Forecasting
MULTI-SCALE COMPLEX SYSTEMS
13. Translations to Dynamics
14. Hierarchical Complex Systems
AGENT-BASED MODELING OF COMPLEX SYSTEMS
15. Agent-Based Modeling
16. The Stock Market
SOCIAL AND ENVIRONMENTAL SYSTEMS
17. Societal Institutions and Behavior
18. Human-Environmental Interactions
19. Course Summary
20. What's Next?