collapse allexpand all
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||14 of 25||Robert Minnichelli||DEN@Viterbi|
|32341R||048||Lecture||4:00-6:40pm||Tuesday||10 of 15||Robert Minnichelli||OHE120|
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||8 of 25||Phan Phan||DEN@Viterbi||PDF (212546 KB)|
|32342R||048||Lecture||6:40-9:20pm||Thursday||1 of 10||Phan Phan||OHE114||PDF (212546 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.
|32313R||048||Lecture||6:40-9:20pm||Thursday||3 of 10||Michael Sievers||OHE120||Word (41865 KB)|
|32323D||034||Lecture||6:40-9:20pm||Thursday||5 of 15||Michael Sievers||DEN@Viterbi||Word (41865 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||27 of 45||Mark Mckelvin||DEN@Viterbi||PDF (215143 KB)|
|32347R||048||Lecture||5:00-7:40pm||Friday||4 of 10||Mark Mckelvin||OHE120||PDF (215143 KB)|
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||22 of 35||Azad Madni||DEN@Viterbi||PDF (196453 KB)|
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||19 of 30||Ken Cureton||DEN@Viterbi||PDF (348275 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||11 of 20||Jairus Hihn||DEN@Viterbi|
|32360D||048||Lecture||6:40-9:20pm||Monday||1 of 10||Jairus Hihn||OHE114|
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||OFFICE|
Credit on acceptance of thesis. Graded IP/CR/NC.
|32391D||048||Lecture||TBA||TBA||0 of 10||OFFICE|