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Systems Architecting and Engineering (SAE)
- To be enrolled in an off-campus course, you MUST also enroll in the Distance Education Network (DEN). For more information, call (213) 740-4488 or go to den.usc.edu. DEN courses are indicated by a location of DEN@Viterbi D class assignments for graduate students are available online at:
Integration of engineering problem solving methodologies based on systems concepts. Application to complex, large scale technical systems and problems faced by engineering managers. Case studies.
|32311D||034||Lecture||4:00-6:40pm||Tuesday||13 of 25||Michael Sievers||DEN@Viterbi||Word (78336 KB)|
|32341R||048||Lecture||4:00-6:40pm||Tuesday||2 of 15||Michael Sievers||OHE120||Word (78336 KB)|
Probability theory in systems engineering: test design and performance, reliability and maintainability, quantitative decision models. Constraint theory to manage and de-conflict complex requirements. Complexity theory.
- Prerequisite: SAE 541
- Note: Basic probability theory and various applications in systems engineering: system test design and performance, quantitative decision model, system reliability, maintainability and availability, and exploration of fundamental concepts in resilient systems engineering. Introduction to constraint theory as an engineering tools kit to detect, manage and de-conflict complex system requirements.
|32312D||034||Lecture||6:40-9:20pm||Thursday||6 of 25||Phan Phan||DEN@Viterbi||PDF (212805 KB)|
Formal methods for the design and analysis of resilient systems and system-of-systems (SoS); Disruption risks as a function of system scale and complexity, management, and architectures.
|32323D||034||Lecture||6:40-9:20pm||Thursday||11 of 15||Michael Sievers||DEN@Viterbi||Word (75264 KB)|
Approaches for modeling systems using software such as SySML; modeling system, requirements, structure, behavior, and parametrics; mapping to hardware description language and behavioral code generation. Recommended preparation: Modeling and simulation courses.
|32317D||034||Lecture||5:00-7:40pm||Friday||30 of 45||Mark Mckelvin||DEN@Viterbi||PDF (234433 KB)|
|32347R||048||Lecture||5:00-7:40pm||Friday||2 of 8||Mark Mckelvin||OHE114||PDF (234433 KB)|
Essentials of systems and system-of-systems integration from the perspectives of business, programs, and technology. Process, Legacy, and Systems-of-Systems Integration. Verification and Validation methods. Case studies. Recommended preparation: Bachelor's degree in engineering or physical sciences.
|32315D||034||Lecture||7:00-9:40pm||Tuesday||11 of 30||Michael Sievers||DEN@Viterbi||Word (74752 KB)|
Introduction to systems architecture in aerospace, electrical, computer, and manufacturing systems emphasizing the conceptual and acceptance phases and using heuristics.
|32319D||034||Lecture||4:00-6:40pm||Monday||37 of 38||Azad Madni||DEN@Viterbi||PDF (205747 KB)|
Impact of economic factors for systems architects and engineers, tools for understanding these factors, fundamental quantitative analysis of cash flow, life-cost estimating for systems and software engineering.
|32330D||034||Lecture||6:40-9:20pm||Monday||17 of 20||Jairus Hihn||DEN@Viterbi|
Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
|32390R||048||Lecture||TBA||TBA||0 of 10||Azad Madni||OFFICE|
Credit on acceptance of thesis. Graded IP/CR/NC.
|32391D||048||Lecture||TBA||TBA||0 of 10||Azad Madni||OFFICE|