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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:
Explores broad issues and mitigation measures involved in the analysis and design of complex, uncertain, interacting infrastructure systems needing to be resilient and sustainable.
|32315R||048||Lecture||12:30-1:50pm||Mon, Wed||0 of 60||OHE100D|
|32316D||034||Lecture||12:30-1:50pm||Mon, Wed||0 of 20||DEN@Viterbi|
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||3:30-6:10pm||Tuesday||0 of 25||DEN@Viterbi|
|32341R||048||Lecture||3:30-6:10pm||Tuesday||0 of 15||OHE100C|
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||0 of 25||DEN@Viterbi|
|32342R||048||Lecture||6:40-9:20pm||Thursday||0 of 10||RTH115|
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||6:40-9:20pm||Tuesday||0 of 40||DEN@Viterbi|
|32347R||048||Lecture||6:40-9:20pm||Tuesday||0 of 5||RTH105|
Introduction to systems architecture in aerospace, electrical, computer, and manufacturing systems emphasizing the conceptual and acceptance phases and using heuristics.
|32319D||034||Lecture||3:30-6:10pm||Monday||0 of 30||DEN@Viterbi|
|32349D||048||Lecture||3:30-6:10pm||Monday||0 of 30|
Analysis of risks inherent in managing high-tech/high-cost government-funded engineering programs; tools and techniques for coping with the impacts of politically-driven budgets on the engineering design process. Recommended preparation: 2 years of work experience.
|32320D||034||Lecture||6:40-9:20pm||Wednesday||0 of 20||DEN@Viterbi|
|32350R||048||Lecture||6:40-9:20pm||Wednesday||0 of 28||OHE120|
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||0 of 20||DEN@Viterbi|
|32360D||048||Lecture||6:40-9:20pm||Monday||0 of 10|
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.
|32390D||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|