Program: Complex Systems Certificate
The field of complex systems is relatively young and evolving, encompassing a wide range of disciplines in the sciences, engineering, computer science, and mathematics. In this context, a “complex system” is defined as an engineered or natural system that is characterized by dynamical properties and unobservable interactions that may not be apparent from observations of its emergent behaviors. Moreover, those dynamics can be intelligent and potentially adversarial. With a strong emphasis on the application of mathematical theory, computational techniques and modeling in the program, students and faculty will engage in research on complex systems.
The goals of this certificate are to:
- Train and prepare the next-generation scientists and engineers to formulate and solve complex systems problems.
- Advance CSUN’s mission to engage students in creative activities, particularly those from underrepresented in STEM.
- Provide the needed background training for prospective Ph.D. students in complex systems.
- Generate opportunities for industry employees to continue their interdisciplinary education and advance their careers.
This program will prepare students to apply mathematical theory, data-enabled modeling and computational techniques to the study of complex systems in the natural and engineered world. Coursework will focus on the theoretical foundations of complex systems analysis with an emphasis on applications.
A. Admission Requirements
A master’s degree in STEM fields is required for admission to the certificate program. Students enrolled in the certificate program are eligible to apply to the Ph.D. program. The coursework will be transferred, if admitted. The students in the Ph.D. program will automatically be enrolled in the certificate program and, therefore, will be granted this certificate along with their Ph.D. degree in complex systems.
B. Course Requirements
Students must complete 19 units in three semesters as follows.
Semester 1 (6 units)
Select three courses from the following:
CPLX 701 Mathematical Foundations for Complex Systems (2)
CPLX 702 Physics Foundations for Complex Systems (2)
CPLX 703 Chemistry Foundations for Complex Systems (2)
CPLX 704 Biology Foundations for Complex Systems (2)
CPLX 705 Computer Science Foundations for Complex Systems (2)
CPLX 706 Engineer Foundations for Complex Systems (2)
Semester 2 (8 units)
Complete two additional courses from the above list and the following:
Semester 3 (5 units)
Complete the following two courses:
Total Units for the Certificate: 19
Department of Mathematics
Chair: Rabia Djellouli
Live Oak Hall (LO) 1300
Student Learning Outcomes
Upon completion of the program, students will:
- Understand the nature of complex systems.
- Be able to model or mathematically describe complex systems or systems of systems.
- Be able to analyze processes and phenomena with respect to agents, complex systems of agents, or systems of systems using applied mathematical and computational frameworks.
- Demonstrate competency in quantitative and scientific reasoning.
- Demonstrate a depth of understanding of the essential content and principal modes of inquiry in engineering, computer science and/or the sciences.
- Be able to objectively evaluate research findings and the appropriate literature.