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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 to to den.usc.edu. DEN courses are indicated by a location of DEN@Viterbi. D class assignments and general questions regarding SAE courses, may contact SAE advisor- Ms. Prisila C Vasquez, Email: Prisilac@usc.edu.
Explores broad issues and mitigation measures involved in the analysis and design of complex, uncertain, interacting infrastructure systems needing to be resilient and sustainable.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
32325R | 048 | Lecture | 12:00-1:50pm | Tue, Thu | 17 of 20 | Edward Maby, Julie Albright | RTH217 | PDF (180403 KB) | |
32335D | 034 | Lecture | 12:00-1:50pm | Tue, Thu | 9 of 40 | Edward Maby, Julie Albright | DEN@Viterbi | ||
32326R | 048 | Discussion | 9:00-9:50am | Friday | 17 of 20 | Edward Maby, Julie Albright | OHE120 | ||
32336D | 034 | Discussion | 9:00-9:50am | Friday | 9 of 40 | Edward Maby, Julie Albright | 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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32301D | 034 | Lecture | 6:40-9:20pm | Thursday | 33 of 35 | Michael Sievers | DEN@Viterbi | ||
32331R | 048 | Lecture | 6:40-9:20pm | Thursday | 3 of 10 | Michael Sievers | OHE114 |
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
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32312D | 034 | Lecture | 6:40-9:20pm | Tuesday | 6 of 20 | Phan Phan | DEN@Viterbi | PDF (214446 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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32315D | 034 | Lecture | 6:40-9:20pm | Wednesday | 15 of 30 | Michael Sievers | DEN@Viterbi | ||
32348R | 048 | Lecture | 6:40-9:20pm | Wednesday | 1 of 8 | Michael Sievers | OHE114 |
Introduction to systems architecture in aerospace, electrical, computer, and manufacturing systems emphasizing the conceptual and acceptance phases and using heuristics.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32319D | 034 | Lecture | 4:00-6:40pm | Monday | 17 of 38 | Robert Minnichelli | DEN@Viterbi | PDF (200176 KB) | |
32349D | 048 | Lecture | 4:00-6:40pm | Monday | 7 of 20 | Robert Minnichelli | OHE100D | PDF (200176 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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32320D | 034 | Lecture | 6:40-9:20pm | Wednesday | 23 of 25 | Ken Cureton,Edwin Ordoukhanian | DEN@Viterbi | PDF (351017 KB) |
Study of various aspects of integrated manufacturing and service enterprises including management, design and production functions, interfaces and related resources and information systems.
- Crosslist: This course is offered by the ISE department but may qualify for major credit in SAE. To register, enroll in ISE 506.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31522D | 048 | Lecture | 4:00-7:50pm | Friday | 10 of 30 | Theodore Mayeshiba | OHE120 | PDF (1048783 MB) | |
31722D | 034 | Lecture | 4:00-7:50pm | Friday | 19 of 30 | Theodore Mayeshiba | DEN@Viterbi | PDF (1048783 MB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32330D | 034 | Lecture | 6:40-9:20pm | Monday | 19 of 25 | Jairus Hihn | DEN@Viterbi | Word (27553 KB) |
This project-oriented course elaborates on the process of engaging creative thought, tools and techniques for invention, and issues involved in bringing inventions to the production phase.
- Crosslist: This course is offered by the CE department but may qualify for major credit in SAE. To register, enroll in CE 576.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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29830D | 048 | Lecture | 6:30-9:10pm | Thursday | Canceled | PDF (825692 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32390D | 048 | Lecture | TBA | TBA | 0 of 5 | OFFICE |
Credit on acceptance of thesis. Graded IP/CR/NC.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32391D | 048 | Lecture | TBA | TBA | 0 of 5 | OFFICE |
Course content will be selected each semester to reflect current trends and developments in the field of systems architecture and engineering.
Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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Artificial Intelligence and Machine Learning for Systems Engineers | ||||||||||
32300D | 034 | 3.0 | Lecture | 2:00-4:40pm | Tuesday | 6 of 20 | Michael Sievers | DEN@Viterbi | ||
Artificial Intelligence and Machine Learning for Systems Engineers | ||||||||||
32310R | 048 | 3.0 | Lecture | 2:00-4:40pm | Tuesday | 4 of 20 | Michael Sievers | OHE120 |