Professor, System Design & Management
Professor, System Design & Management (MIT)
Dov Dori, Harry Lebensfeld Chair in Industrial Engineering at the Technion, Israel Institute of Technology, is Head of the Enterprise System Modeling Laboratory at the Faculty of Industrial Engineering and Management, Technion, and is a frequent visiting professor at MIT's Systems Design and Management, where he advises graduate students and lectures on a regular basis. His research interests include model-based systems engineering, conceptual modeling of complex systems, systems architecture and design, software and systems engineering, and systems biology. Prof. Dori invented and developed Object-Process Methodology (OPM), the 2015 ISO 19450 standard.
Dr. Donna Rhodes
Director, Systems Engineering Advancement Research Initiative
As the director of MIT’s Systems Engineering Advancement Initiative (SEAri), Dr. Rhodes leads a team that is focused on advancing the theories, methods, and effective practice of systems engineering applied to sociotechnical systems. She conducts research on innovative approaches and methods for building and designing complex systems and enterprises, including predictive indicators of performance, empirical studies of engineering systems thinking and practice, and planning for uncertain futures. Her research is driven by the desire to design socio-technical systems that more effectively address significant societal needs in a dynamic world. She is involved in research across multiple sectors including defense, aerospace, transportation, energy, and commercial products. She also serves as a senior lecturer in the Engineering Systems Division and the principal research scientist in the Sociotechnical Systems Research Center (SSRC).
Before joining MIT in 2003, Dr. Rhodes held senior management positions in systems engineering and enterprise practices at IBM Federal Systems, Lockheed Martin, and Lucent Technologies.
Dr. Bruce Cameron
Faculty Director of the Architecture and Systems Engineering: Models and Methods to Manage Complex Systems online program, Director of the System Architecture Lab, Massachusetts Institute of Technology
Faculty Director of the Architecture and Systems Engineering: Models and Methods to Manage Complex Systems online program, Director of the System Architecture Lab, Massachusetts Institute of Technology (MIT)
Dr. Cameron balances several complementary roles as the Director of MIT’s System Architecture Lab, a Lecturer in System Design and Management, and an industry consultant on platform strategies. His interests include technology strategy, system architecture, and the management of product platforms. He conducts research related to platform management structures, accounting methods in platforming, strategic management of stakeholder needs, and network analysis of customer requirements. As a consultant, he works with companies to develop strategies for entering new markets, building flexible product lines, and achieving cost savings. His clients include Fortune 500 firms in high-tech, aerospace, transportation, and consumer goods.
Previously at MIT, Dr. Cameron ran the Commonality study, a 16-firm investigation of platforming returns that identified systemic downward pressure on commonality among firms, partially resulting from challenges related to capturing the costs of variety. Before coming to MIT, he worked as an engagement manager at a management consultancy and as a system engineer at MDA Space Systems, where he built hardware that is currently in orbit. He has also directed research projects for BP, Sikorsky, Nokia, Caterpillar, NSTAR, AMGEN, Verizon, NASA, ES, and Skoltech. He received his undergraduate degree from the University of Toronto, and graduate degrees from MIT.
Dr. Edward F. Crawley
Chairman of the Architecture and Systems Engineering: Models and Methods to Manage Complex Systems online program, Ford Professor of Engineering, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology
Chairman of the Architecture and Systems Engineering: Models and Methods to Manage Complex Systems online program, Ford Professor of Engineering, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT)
Prof. Crawley currently serves as President Emeritus, Skolkovo Insitute of Science and Technology, Moscow and as Director of the Bernard M. Gordon – MIT Engineering Leadership Program, an effort to significantly strengthen the quality of engineering leadership education for competitiveness and innovation. From 2003 to 2006 he served as the Executive Director of the Cambridge – MIT Institute, a joint venture with Cambridge University, funded by the British government and industry, with a mission to understand and generalize how universities act as engines of innovation and economic growth. In this capacity he was in close consultation with the British Government on issues of science and innovation policy. For the previous seven years, he served as the Department Head of Aeronautics and Astronautics at MIT, leading the strategic realignment of the department.
Dr. Crawley’s early research interests centered on structural dynamics, aeroelasticity, and the development of actively controlled and intelligent structures. Recently, his research has focused on the domain of the architecture and design of complex systems. Dr. Crawley’s work spans a range from the development of underlying theory, typified by a recent paper on the Algebra of Systems, to the development of methods and tools, such as Object Process Networks. Currently he is engaged on both NASA and oil exploration system designs. Dr. Crawley received an SB (1976) and an SM (1978) in Aeronautics and Astronautics, and an ScD (1981) in Aerospace Structures from MIT.
Dr. Olivier de Weck
Professor of Aeronautics and Astronautics Engineering Systems, Massachusetts Institute of Technology, Editor-in-Chief of Systems Engineering, INCOSE Fellow
Professor of Aeronautics and Astronautics Engineering Systems, Massachusetts Institute of Technology, Editor-in-Chief of Systems Engineering, INCOSE Fellow (MIT, INCOSE Fellow)
An international leader in systems engineering research, Dr. de Weck focuses on how complex man-made systems such as spacecraft, automobiles, printers, consumer products, and critical infrastructures are designed, manufactured, and operated. His research has impacted complex systems in space exploration (NASA, JPL), oil and gas exploration (BP), and sophisticated electromechanical products (Xerox, Pratt & Whitney, GM, DARPA). He currently leads the MIT Strategic Engineering Research Group, which has developed quantitative methods and tools that explicitly consider manufacturability, commonality, flexibility, robustness, sustainability, and other characteristics. Under his direction, this group’s achievements include the Adaptive Weighted Sum (AWS) method for resolving tradeoffs amongst competing objectives, the Delta-Design Structure Matrix (DDSM) for technology infusion analysis, Time-Expanded Decision Networks (TDN), and the SpaceNet and HabNet simulation environments.
Dr. de Weck is also a Fellow of INCOSE and an Associate Fellow of AIAA, and he serves as Editor-in-Chief of the journal Systems Engineering. From 2011 to 2013, he served as Executive Director of the MIT Production in the Innovation Economy (PIE) project. Previously, from 2008 to 2011, he served as Associate Director of the Engineering Systems Division (ESD) at MIT. Among the honors he has earned in his career are the Frank E. Perkins Award for Excellence in Graduate Advising (2006), the Marion MacDonald Award for Excellence in Mentoring and Advising (2010), and an AIAA Teaching Award (2012). He has authored three books on systems engineering and 250 peer-reviewed papers.
General Motors LGO Professor of Management Science
General Motors LGO Professor of Management Science (MIT)
Steven Eppinger is Professor of Management Science at the MIT Sloan School of Management. He also holds the General Motors Leaders for Global Operations Chair and has a joint appointment in MIT's Engineering Systems Division. He is currently the faculty co-director of the System Design and Management program with masters degree tracks in integrated product development and in complex system development. Dr. Eppinger is one of the most highly recognized scholars in the area of product development and technical project management. His research is applied to improving complex design processes in order to accelerate industrial practices. He is a pioneer in development of the widely used Design Structure Matrix (DSM) method for managing complex system projects. Prof. Eppinger received S.B., S.M., and Sc.D. degrees from MIT's Department of Mechanical Engineering before joining the MIT faculty in 1988.
Dr. Warren Hoburg
Boeing Assistant Professor, Department of Aeronautics and Astronautics
Dr. Hoburg has been a member of the MIT faculty since 2014, after earning a B.S. in Aerospace Engineering from MIT and a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. During his Ph.D. research, he developed a new approach for formulating aircraft design as an optimization problem. He continued this research at Boeing’s Product Development and Applied Math sectors, where he developed optimization approaches to composite ply and test coupon layouts. As a result of his research, he has been able to apply the powerful solvers of geometric programming to achieve a highly efficient and scalable design optimization framework — and Boeing has dramatically shortened the amount of time needed for critical composite stress and material analysis proof-of-concept studies by rearranging material usage.
Dr. Hoburg has received numerous many awards including the UCB Graduate Student Instructor Award, the NSF IGERT Fellowship, and the NSF Graduate Research Fellowship.
Dr. Adam Ross
MIT Engineering Systems Division
In his dual roles as Research Scientist and co-founder of SEAri, Dr. Ross conducts extensive research while also advising graduate students. His work is focused on managing unarticulated value, designing for changeability and value robustness, dynamic tradespace exploration for complex systems, and space systems design. He has performed both science and engineering research for a range of industry partners in government, industry, and academia — among them NASA Goddard, JPL, Smithsonian Astrophysical Observatory, Boeing Satellite Systems, Harvard, and Florida State University.
Prior to joining the Engineering Systems Division, Dr. Ross was a Postdoctoral Associate with the MIT Center for Technology Policy and Industrial Development (CTPID) and a research assistant with the MIT Lean Aerospace Initiative. He received his dual B.A. in Physics and Astronomy and Astrophysics from Harvard University in 2000, and he completed two M.S. degrees — Aeronautics and Astronautics, and Technology and Policy — at MIT in 2003. He completed his Ph.D. in Technology, Management, and Policy of Engineering Systems at MIT in 2006.
Frequently Asked Questions
What do I do if I have questions about this program?
If you have any questions about this program or the individual courses that comprise this program, please email: MITxPRO@mit.edu
What do I need to do to register for this program?
Click on the green Purchase the Program button above. You may be prompted to first register for a MIT xPRO account if you do not have one already. Complete this process, then hit continue with the checkout process to pay for the program. After you complete your registration, you will receive a receipt and confirmation/instructions via email.
How do I register a group of participants?
Group registrations of 10 or more may qualify for an additional discount. Please send an email to MITxPRO@mit.edu
for more information.
There are two ways to register multiple individuals at once.
Once the program is added to your cart, you can select the number of seats you would like to purchase. You can then pay using a valid credit card.
For a group of 10 or more individuals, you can pay via invoice. To be invoiced, please email MITxPRO@mit.edu
u with the number of individuals in your group you want to register. Please note that our payment terms are net zero, and all invoices must be paid prior to the course start date. Failure to remit payment before the course begins may result in removal from the program. No extensions or exceptions will be granted.
What is the registration deadline?
Current Run: September 17, 2018 - March 18, 2019.
Program registrations must be completed by September 17, 2018. For group sales, purchases can take place up until September 10, 2018. Please note that once registration has closed, no late registrations or cancellations will be granted.
Program Bundle | September 17, 2018 - March 18, 2019: 9/21/2018 Enrollment Deadline
Course 1 | Architecture of Complex Systems - September 17, 2018 - October 22, 2018: 9/21/2018 Enrollment Deadline
Course 2 | Models in Engineering - November 5, 2018 - December 10, 2018: 11/9/2018 Enrollment Deadline
Course 3 | Model-Based Systems Engineering: Documentation and Analysis - January 7, 2019 - February 4, 2019: 1/11/2019 Enrollment Deadline
Course 4 | Quantitative Methods in Systems Engineering - February 18, 2019 - March 18, 2019: 2/22/2019 Enrollment Deadline
Who cannot register for this course?
US sanctions do not permit us to offer this course to learners in or ordinarily residing in the Crimean region of Ukraine, Iran, Iraq, North Korea Cuba, and Syria.
How should I pay?
Individual participants must complete registration and pay online with a valid credit card at the time of registration. MIT xPRO accepts globally recognized major credit or debit cards that have a Visa, MasterCard, Discover, American Express or Diner's Club logo. Invoices will not be generated for individuals or for groups of less than 10 people. However, all participants will receive a payment receipt. Payment must be received in full; payment plans are not available.
When will I get access to the Program site?
Instructions for accessing the course site will be sent to all paid registrants via email prior to the program start date. If you have not received these instructions, visit your account dashboard to login and begin the course on the advertised start date.
I need to cancel my registration. Are there any fees?
Cancellation requests must be submitted to MITxPRO@mit.edu
Drop Deadline for Program Refund is September 21, 2018. Drop Deadline for Course Refund: Course 1 | Architecture of Complex Systems - September 21, 2018, Course 2 | Models in Engineering - November 9, 2018, Course 3 | Model-Based Systems Engineering: Documentation and Analysis - January 11, 2019, Course 4 | Quantitative Methods in Systems Engineering - February 22, 2019
Cancellation requests received after drop deadlines will not be eligible for a refund. To submit your request, please include your full name and order number in your email request. Refunds will be credited to the credit card used when you registered and may take up to two billing cycles to process.
Can I transfer/defer my registration for another session or course?
Admission and fees paid cannot be deferred to a subsequent session; however, you may cancel your registration and reapply at a later date.
Can someone else attend in my place?
We cannot accommodate any substitution requests at this time. Please review the time commitment section and course schedule.
How do I know if this program is right for me?
Carefully review the program description page, which includes a description of program content, objectives, and target audience, and any required prerequisites.
Are there any prerequisites to apply for this program?
While there are no obligatory prerequisites, people with the following suggested career experience might find the program more relevant:
Minimum Career Experience: 1-2 years of work experience in a technical field
Average Career Experience: 5-15 years of work experience
Past experience modeling, regardless of domain might be helpful. Some modeling types include for computation, physics-based simulation, testing or other. This experience will help ground you on the challenges and opportunities of modeling, but there are neither required modeling languages nor experience.
No management experience is required. However, some class materials will require participants to write about teamwork and general management topics as relevant to architecture and complex projects.
This certificate relates to System Architecture and Model-Based Systems Engineering. Incoming learners are expected to be familiar with the following concepts:
Systems Engineering “V” model
Product Development Reference Models: Stage-Gate Reviews, Waterfall, Spiral, Agile
Requirements, including principles for developing clear and concise requirements, and requirements flow down and management tools
Identifying customer needs and voice of the customer analysis
Spreadsheet software (such as Excel) and simple spreadsheet models
Preferred (but not obligatory) familiarity or experience in:
Early-stage product development
Product lifecycle, including aftermarket and maintenance
Basic concept development methods (Morphological Matrix, QFD)
Model-Based System Engineering (MBSE)
Integrating or connecting models together
Verification and validation
How long is the program?
Each course in the program runs about 4-5 weeks with one-week breaks in between each course.
Architecture and Systems Engineering: Models and Methods to Manage Complex Systems - September 17, 2018 - March 18, 2019
Course #1: Architecture of Complex Systems
Runs January 17, 2018 - October 22, 2018 (5 weeks)
Course #2: Models in Engineering
Runs November 5, 2018 - December 10, 2018 (4 weeks)
Course #3: Model-Based Systems Engineering: Documentation and Analysis
Runs January 7, 2019 - February 4, 2019 (4 weeks)
Course #4: Quantitative Methods in Systems Engineering
Runs February 18, 2019 - March 18, 2019 (4 weeks)
How many hours per week will I have class or homework?
The time commitment per week is around five hours of work, between viewing videos, reading content, completing practice activities, and working on application/project assignments.
There are roughly 10 videos per week, but the course is not intended to be majority video-watching. Rather, it is active - learning focused.
The course is self-paced in that learners can go through the content on their own schedule. There are, however, assignments that are time-bound and specific because they require coordination of student submissions.
There is also a message board for our learners to use, and discussion is encouraged. The professor will not be directly responding to questions, but there is a team of TAs to moderate questions.
How long will the program material be available online?
Program materials for each course will be available to registered and paid participants for 90 days after the course's end date. The course materials are not downloadable, but you are welcome to take your own notes.
Will I receive a digital MIT Certificate?
Participants who successfully complete the 4 courses of the program within one year will receive a digital Professional Certificate from MIT. In addition, a digital Certificate of Completion will be awarded for each course successfully completed. Letter grades are not awarded for this program. All four courses that comprise the program are pass/fail.
Will I receive MIT credits?
This course does not carry MIT credits. MIT offers non-credit/non-degree professional programs for a global audience. Participants may not imply or state in any manner, written or oral, that MIT or MIT xPRO Education is granting academic credit for enrollment in this professional course. None of our online courses or programs award academic credit or degrees. Letter grades are not awarded for this course.
Will I earn Continuing Education Units (CEUs)?
Course participants who successfully complete the four courses, and thus the program, are eligible to receive 8.5 Continuing Education Units (CEUs) from MIT xPRO. CEUs are a nationally recognized means of recording non-credit/non-degree study. They are accepted by many employers, licensing agencies, and professional associations as evidence of a participant’s serious commitment to the development of a professional competence. CEUs are based on hours of instruction. For example: One CEU = 10 hours of instruction. CEUs may not be applied toward any MIT undergraduate or graduate level course. The CEU breakdown by course is as follows:
Course #1: Architecture of Complex Systems (2.5 CEUs)
Course #2: Models in Engineering (2.0 CEUs)
Course #3: Model-Based Systems Engineering: Documentation and Analysis (2.0 CEUs)
Course #4: Quantitative Methods in Systems Engineering (2.0 CEUs)
After I complete this course, will I be an MIT alum?
Participants who successfully complete a Digital Programs course are considered MIT xPRO Alumni. Only those who complete an undergraduate or graduate degree are considered MIT Alumni.
Are video captions available?
Each video for this course has been transcribed and the text can be found on the right side of the video when the captions function is turned on. Synchronized transcripts allow students to follow along with the video and navigate to a specific section of the video by clicking the transcript text. All transcripts are also available for download. Students can use transcripts of media-based learning materials for study and review.
What are the technical requirements to participate in this course?
This course has been specifically designed to engage you in models and methods to manage complex systems, without the use of substantial coding experience or proprietary coding packages. The focus in the course is on substantive challenges that arise when building complex systems, not in having you build large or complex models.
As such, three applications are required:
The ability to download and run Microsoft Excel files with macros. Although you may be able to use other software to view the files, generally the macros will not work outside of Microsoft Excel
The ability to download and edit Microsoft PowerPoint files. There are several programs that can do so
The ability to download and read PDFs
In several places in the course optional links to models are provided, should you wish to explore models in more detail. These are often given for Matlab files. As these are optional, Matlab is not required for this course.
Access our courses requires an Internet connection, as videos are only available via online streaming, and cannot be downloaded for offline viewing. Please take note of your company's restrictions for viewing content and/or firewall settings. Our courseware works best with current versions of Google Chrome, Firefox, or Safari, or with Internet Explorer version 10 and above. For the best possible experience, we recommend switching to an up-to-date version of Chrome. If you do not have Chrome installed, you can get it for free here: http://www.google.com/chrome/browser/
We are unable to fully support access with mobile devices at this time. While many components of your courses will function on a mobile device, some may not.
What is the learning pedagogy in this program?
Course materials blend the following pedagogical strategies to best achieve the learning objectives of the course and individual modules.
Instructivism: Teacher-centered learning where the instructor defines the learning goals and presents relevant content.
Tutorial videos enhanced with animations and graphics
Text-based pages with supplementary pictures, charts, exhibits and illustrations
Constructivism: Learning-by-doing approach that encourages learners to “construct” their own understandings through the act of creating. Ideally learners create an artifact that a real-world practitioner would create.
Graded and ungraded practice activities
Anchored Instruction: A learning experience is “anchored” in a central narrative such as a case study or piece of media. Learners see new knowledge or skills applied in context. At regular intervals, learners utilize the knowledge or skills outlined in the anchor in various parallel contexts enabling them to cognitively situate instructivist content within the central narrative.
Connectivism: Learning through others. Social interaction emphasizes the cycle of sharing and consuming information as a member of a social learning network as a means of refining mental models and forming interdisciplinary connections. Learners are encouraged to make connections and identify patterns between knowledge nodes through their interactions with their peers. They are also encouraged to seek answers to questions from the community, with course staff supporting these interactions.
Discussion forum collaborations
Project-based work collaboration
Polls and word clouds with real-time results
What should I expect from the team-based projects?
All courses require some amount of team-based projects. Group work achieves an important pedagogical goal: To have systems architects work together to solve a problem (aside from other upsides like networking value, etc.)
Group work on projects can be as flexible as the learner desires in terms of both group size and meeting time. While no synchronous meeting time is required, many groups use their own virtual collaboration tools such as Skype, Google Hangout, and WebEx to meet. Other teams leverage the collaboration tool in the course to connect.
Do I need to buy any additional materials of books to complete this course?