Kevin Corker San Jose State University 1/18/05

1. System Engineering ISE 222 Spring 2005Notes & Course Materials www.engr.sjsu.edu/kcorkerKevin.Corker@sjsu.edu Kevin Corker San Jose State University 1/18/05

2. Who Am I? & Why Should I be Teaching This? • Currently: Prof in ISE & Associate Dean For Research • Education: Joint PhD in Engineering Systems and Cognitive Psychology: UCLA • Past Work : • 15 years NASA (Ames, JPL & HQ) Aerospace Systems Research Director. • Manage B R&T Programs , Aerospace advanced Technology Program , managed government procurement • 8 Years BBN Laboratories Research Fellow and Systems Program Manager • Large scale battle management simulation & training (SIMNET) • Initial DARPA support for Associate Technology Programs (Pilot’s Associate, Crew Chief, Rotorcraft Pilot Associate • Navy CINCPACFLT war gaming systems

3. What do I do? • Computational Models of Human System Performance • System Safety & Security Analyses • Cognitive Modeling • Development of Joint Cognitive Systems

4. Run-time Display - Co-pilot - GUI

5. Human Performance Model

6. What Will We Learn??? • Systems Engineering Methods & Tools • Systems Engineering Life-cycle Process • Systems Engineering Management

7. Definitions of System Engineering • Structure: management technology to assist in the formulation, analysis and interpretation of the impacts of proposed policy, controls, and systems on the needs, institution and values under investigation

8. Definitions of System Engineering • Function: Methods and Tools • to support analysis of large-scale, dynamic and complex systems, • to support process-oriented management practice and • to provide effective & efficient trade offs among alternatives

9. Definitions of System Engineering • Purpose: For engaging in system engineering • To develop information and knowledge organization • To support definition, development and deployment of total systems • to assure integration and high quality relative to reliability, availability, maintainability, operability … ilities.

10. Systems Engineering Functions • Formulation of the System • Needs to be fulfilled • Requirements & Objectives • Constraints and Degrees of Freedom • Alternatives to above • Analysis • Determine the impact of varied alternative courses of action • Determine the course of least constraint • Determine the risk mitigation strategy • Interpretation of Analysis • Rank Order, Bias & Uncertainty Assessment

11. Formulation Analysis Interpretation Steps and Phases

12. What are the Functions Applied To?? • Design, Develop, Deploy Systems • Large in Scale • Large in Scope • Large in Range of Impact • System Types • Physical Systems • Human & Organizational Systems • Enterprise Systems • Information Systems • Systems of Systems • Aerospace examples

16. What is a System? • Group of Components that work together for a purpose • Service • Product • Process • Attributes: discernable manifestations of the components • Relationships are links between Components & Attributes

17. Components Properties • Properties & Behavior of each Component has an influence on the properties & behavior of the set as a whole • Properties & Behaviors of each component of the set depends on the properties & behaviors of at least one other component • Each possible subset of the components has the two properties listed above: I.E. the components cannot be divided into independent subsets

18. When you decompose what do you get?? • Components • Structural: Static Elements of a System • Operating: Perform Processing • Flow: Materials and energy or information being altered by system operations

19. Relational View (as opposed to System View ) • Relations exist between component pairs (though many pairs may share relations) • Relation is formed from the imminent qualities of the components (e.g. their essential characteristics) System is s on physical, temporal and spatial arrangement of components • Relations imply direct interactions . Systems are defined by the common reference to the entire set of components

20. Extra thoughts • Relationship orders: • First order: functionally necessary – symbiosis • Second Order: Synergistic (relationship adds to the system performance) • Redundancy replication for purpose of system continuation • Do redundant systems contain more or less information than non-redundant systems?

21. How can system be known?? • State of a System • Collection of variables that describe a system from a perspective and at specific time • Variation in perspective • Variation in temporal resolution • System Engineering Knowledge • Principles • Practices • Perspectives

22. Extra Thoughts: How can system be known?? • Thought then has objective validity because it is not fundamentally different from the objective reality but is specially suited for the imitation of it. • The fundamental nature of neural machinery lies in its power to parallel or model external events. • KJW Craik The Nature of Explanation (Cambridge, 1952)

23. How is a System Understood ?? • Decomposition • Analysis • Aggregation • More than the sum of its parts • Emergent • Self-organizing • Entropic and Enthalpic • The thermodynamic function of a system is equivalent to the sum of the internal energy of the system plus the product of its volume multiplied by the pressure exerted on it by its surroundings

24. What is a System Life Cycle • System Planning and Marketing • Research Development Testing and Evaluation • System Acquisition & Deployment & Production

25. What are criteria for System Quality ?? • Efficient & Effective in • Production • Use • Maintenance • Retrofit • Other Criteria??

26. System Definition System Development System Deployment Formulation Formulation Formulation Analysis Analysis Analysis Interpretation Interpretation Interpretation System Life-Cycle

27. V User Requirements & System Specification Operation & Maintenance & Retrofit Customer Perspective– Purposeful Enterprise Architecture Preliminary Conceptual Design Integrate & Test Functional Architecture Perspective Detailed System Design Verification & Test Modules System Developer Perspective System Production System Production Perspective

29. Course Project • Formulation of the System • Needs to be fulfilled • Requirements & Objectives • Constraints and Degrees of Freedom • Alternatives to above • System Definition & Identification Process • What is your system? • What is its purpose? • What are its Components (structural operating & flow), Attributes and Relationships? • What are the attributes that define its state?