Coursebooks 2017-2018

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Fundamentals in Systems Engineering

ENG-421

Lecturer(s) :

Language:

English

Remarque

Not given in 2017-18

Summary

Introduction to systems engineering using the classical V-model. Topics include stakeholder analysis, requirements definition, concept selection, design definition and optimization, system integration and verification and validation. This class is part of the EPFL minor in Systems Engineering.

Content

General introduction to systems engineering using both the classical V-model and the new META approach. Topics include stakeholder analysis, requirements definition, system architecture and concept generation, trade-space exploration and concept selection, design definition and optimization, system integration and interface management, system safety, verification and validation, and commissioning and operations. Discusses the trade-offs between performance, lifecycle cost and system operability. Readings based on systems engineering standards and papers. Students apply the concepts of systems engineering to a cyber-electro-mechanical system, which is subsequently entered into a design competition.

Keywords

Systems Engineering, Stakeholder Analysis, Requirements, Concept Generation, Concept Selection, Design, Optimization, Verification, Validation, Operations, Lifecycle Properties

Learning Prerequisites

Required courses

None.

Recommended courses

COM-502 Dynamical System Theory for Engineers

MICRO-550 Applied Machine Learning

MICRO-570 Advanced Machine Learning

CS-454 Convex Optimization and Applications

MATH-265 Introduction to Optimization and Operations Reserach

MGT-484 Applied Probability and Stochastic Processes

MATH-600 Optimization and Simulation

Domain-Specific Courses listed in the Minor in Systems Engineering at EPFL Guide depending on the student's particular interests.

Important concepts to start the course

Experience in real world engineering projects either in industry (e.g. through internships, prior positions etc...) or academic research involving engineered systems or artifacts.

Matlab and Simulink proficiency.

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

The class consists of four pedagogical elements that are interwoven to maximize the use of individual, group and class time. These elements are lectures, assignments, readings and the design competition.

a) Lectures: the lectures will last 120 minutes and will present some of the key ideas and concepts for particular steps of the systems engineering process. The lectures will generally be held on Fridays and will roughly follow the 'V' model of systems engineering Lecture notes will be posted on stellar/moodle before the day of the lecture. During the lecture we will ask concept questions online which are used to both check conceptual understanding as well as for taking attendance.

b) Assignments: Small teams of students will do the assignments. Each team will turn in one deliverable per assignment with all team members that contributed clearly identified. The assignments will be scheduled such that they are more or less synchronized with the class materials. The assignment teams will mix MIT and EPFL students.

c) Readings: The readings in this class or are of two types. First we will assign weekly readings from the NASA Systems Engineering Handbook and other standard SE texts to supplement the class materials. You can expect to read about 20-30 pages per week in this fashion. Second, we will have one or two journal or conference papers per week as assigned reading. These readings will be discussed during lecture.

d) Design Competition: A design competition will be held at the end of the semester using VEX robotics kits. The design and operations of this system will be used as a context for the team assignments. Prizes will be awarded to the top three teams.

Expected student activities

This class will be taught jointly as ENG-421 at EPFL and 16.842 at MIT. All lectures will be streamed and recorded online using the webex system. Students are expected to log-in to webex inidividually and/or attend the class physically during lecture time.

Besides class time students will work jointly in mixed teams on their assignments.

Assessment methods

There will be the following four methods for assessing student learning:

1. Concept questions during lecture (with expected electronic submission of answers)

2. Team-based assignments (bi-weekly)

3. Peer Review 360 Feedback at the end of the semester

4. Final Exam

Supervision

Office hours Yes
Assistants Yes
Forum No
Others

Office hours will be held online for 60 minutes each week. The instructor and TA will be available to answer any questions students may have about the theory and methods presented in class or the assignments.

The timing of office hours is as follows:

Fridays from 17h00-18h00 right after lecture.

Resources

Bibliography

NASA Systems Engineering Handbook, NASA/SP-2007-6105, Rev 1, Dec 2007

INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, 4th Edition, ISBN: 978-1-118-99940-0, 304 pages, July 2015

ISO/IEC/IEEE 15288:2015, Systems and software engineering -- System life cycle processes

Rebentisch E., Crawley E., Loureiro G., Dickmann J., Catanzaro S., 'Using Stakeholder Value Analysis to Build Exploration Sustainability', AIAA-2005-2553, 1st Space Exploration Conference: Continuing the Voyage of Discovery, Orlando, Florida, Jan. 30-1, 2005

Hauser J.R., Clausing D., 'The House of Quality', Harvard Business Review, 63-73, May-June 1988

de Weck, O.L. and Jones M. B., 'Isoperformance: Analysis and Design of Complex Systems with Desired Outcomes', Systems Engineering, 9 (1), 45-61, January 2006

Edward Crawley, Olivier de Weck, Steven Eppinger, Christopher Magee, Joel Moses, Warren Seering, Joel Schindall, David Wallace, Daniel Whitney, 'The Influence of Architecture in Engineering Systems', Monograph, 1st Engineering Systems Symposium, Cambridge, Massachusetts, March 29-31, 2004

Ross A.M., Hastings D., Warmkessel J., Diller N., 'Multi-Attribute Tradespace Exploration as Front End for Effective Space System', Journal of Spacecraft and Rockets, 41 (1), 20-28, January'February 2004

Sobieszczanski-Sobieski J.,; Agte J.S., ; Sandusky R.R., 'Bi-level Integrated System Synthesis', AIAA Journal, vol.38 no.1 (164-172), 2000

Tahan M., Ben-Asher J.Z., 'Modeling and analysis of integration processes for engineering systems', Systems Engineering, Volume 8, Issue 1, Date: 2005, Pages: 62-77

Cummings, M.L., & Mitchell P.J., Predicting Controller Capacity in Remote Supervision of Multiple Unmanned Vehicles, IEEE Systems, Man, and Cybernetics, Part A Systems and Humans, (2008) 38(2), p. 451-460.

Leveson, N., 'A New Accident Model for Engineering Safer Systems', Safety Science, Vol. 42, No. 4, April 2004

HBS Case: 9-603-083

Mission to Mars (A)

This case is set in spring 2000, several months after two successive, failed missions to the planet Mars. Students are asked to evaluate the reasons for these failures in the context of NASA's "Faster, Better, Cheaper" program, which was initiated in 1992. They are also faced with the task of reconstructing a program for the exploration of Mars that considers the many uncertainties--political, financial, outcome related, and scientific--that can impact the program. Includes color exhibits. Setting: California; Government & regulatory; 2000

Shishko, R., 'Developing Analogy Cost Estimates for Space Missions', AIAA-2004-6012, Space 2004 Conference and Exhibit, San Diego, California, Sep. 28-30, 2004

de Weck, O.L., de Neufville R. and Chaize M., 'Staged Deployment of Communications Satellite Constellations in Low Earth Orbit', Journal of Aerospace Computing, Information, and Communication, 1 (3), 119-136, March 2004

Ressources en bibliothèque
Notes/Handbook

The three major handbooks / standards used are listed above in the bibliograpgy as , , and and need to be accessible to the students.

Prerequisite for

Minor in Systems Engineering

In the programs

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  • Bioengineering, 2017-2018, Master semester 2
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  • Bioengineering, 2017-2018, Master semester 4
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  • Applied Physics, 2017-2018, Master semester 2
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  • Applied Physics, 2017-2018, Master semester 4
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  • Physics - master program, 2017-2018, Master semester 2
    • Semester
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  • Life Sciences and Technologies - master program, 2017-2018, Master semester 2
    • Semester
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  • Life Sciences and Technologies - master program, 2017-2018, Master semester 4
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  • Neuroprosthetics minor, 2017-2018, Spring semester
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  • Computational Neurosciences minor, 2017-2018, Spring semester
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  • Systems Engineering minor, 2017-2018, Autumn semester
    • Semester
      Fall
    • Exam form
      During the semester
    • Credits
      5
    • Subject examined
      Fundamentals in Systems Engineering
    • Lecture
      2 Hour(s) per week x 14 weeks
  • Biomedical technologies minor, 2017-2018, Spring semester
    • Semester
      Spring
    • Exam form

    • Subject examined
  • Electrical Engineering (edoc), 2017-2018
    • Semester
      Fall
    • Exam form
      During the semester
    • Credits
      5
    • Subject examined
      Fundamentals in Systems Engineering
    • Lecture
      2 Hour(s) per week x 14 weeks
  • Photonics (edoc), 2017-2018
    • Semester
    • Exam form

    • Subject examined

Reference week

MoTuWeThFr
8-9
9-10
10-11
11-12
12-13
13-14
14-15
15-16
16-17
17-18
18-19
19-20
20-21
21-22
Lecture
Exercise, TP
Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German