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SCTE - Cornell Systems Architecture & Management Program

Next Session is planned for March - June 2024

Preparing for the Future: Today’s environment requires accelerating the development of 10G, the next network to life. Equipping engineers with a set of tools, concepts, methods, mental models and principals is essential for individuals to achieve successful systems architectural projects by:

  • Engaging Stakeholders
  • Managing Complex Scenarios
  • Producing Robust Solutions
  • Analyzing and Discovering Architectural Space.

Learning Outcomes

Develop Systems Architecture Capabilities to Lead a Virtual Program

Studying the theory and practice of systems architecture examines a range of disciplines: Systems Engineering, Decision Analysis, Stakeholder Analysis, Formal Design Theory, Simulation, Global Optimization, Design of Experiments, Data Mining and Visualization, and Project Management.

The application of these concepts to business projects will quickly advance the development and implementation time and ROI, making a significant difference in bringing 10G to market.

Limited to 20 participants, this highly interactive learning program will prepare individuals to lead complex systems architecture projects within their companies.

A Systems Architecture Process

A Systems Architecture Process

Produce a complete representation of a system architecture including its concept of operations, functional architecture, physical architecture, and mapping of function to form, using a formal systems modeling language (SysML, OPM)

Characterize and prioritize stakeholders and their needs using network theory and Kano analysis

Develop computer models (parametric models, simulation) to assess the relative value of system architectures across all important metrics, including performance, lifecycle cost, schedule, risk, and others

Increase awareness and understanding of diversity and implicit bias in teamwork communication, decision-making, and peer assessment

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Learning Fundamentals, Representation and Frameworks

Develop Systems Architecture Capabilities to Lead a Virtual Program Delivered by Cornell University

Studying the theory and practice of systems architecture examines a range of disciplines: Systems Engineering, Decision Analysis, Stakeholder Analysis, Formal Design Theory, Simulation, Global Optimization, Design of Experiments, Data Mining and Visualization, and Project Management.

The application of these concepts to business projects will quickly advance the development and implementation time and ROI, making a significant difference in bringing 10G to market.

Limited to 20 participants, this highly interactive learning program will prepare individuals to lead complex systems architecture projects within their companies.

Over five months, participants will engage in action learning to apply theories and concepts to an assigned team project to solve complex problems. Three phases of study include: Ramping Up preparing for the team project, Immersion working with team members on a “real time” project and Completion presenting project outcomes, receiving faculty coaching, and sharing and reflecting on feedback received during the project experience

Program Schedule:

Over five months, participants will engage in action learning to apply theories and concepts to an assigned team project to solve complex problems. Three phases of study include: Ramping Up preparing for the team project, Immersion working with team members on a “real time” project and Completion presenting project outcomes, receiving faculty coaching, and sharing and reflecting on feedback received during the project experience.

Month One: Program Introduction

Ramping Up Produce a complete representation of a system architecture including its concept of operations, functional architecture, physical architecture, and mapping of function to form, using a formal systems modeling language (SysML, OPM). Become familiar with the major architectural frameworks (DODAF) characterize and prioritize stakeholders and their needs using network theory and Kano analysis training necessary to do their jobs. In the same survey referenced earlier, this factor causes 40% of people to leave their jobs within the first year.1 At that point, the MSO has not only lost the valuable knowledge the technician acquired, but it now has to invest in recruiting, hiring and onboarding a replacement.

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Tasks of the System Architect

Months Two to Four: Immersion

Engage in formal brainstorming methods and enumerative algorithms to generate large spaces of alternative concepts and architectures. Develop computer models (parametric models, simulation) to assess the relative value of system architectures across all important metrics, including performance, lifecycle cost, schedule, risk, and others. Use optimization (evolutionary algorithms) to fully or partially explore the architectural trade space and find a set of “good” architectures. Apply concepts from design of experiments, sensitivity analysis, data mining, and machine learning to discover the structure of the trade space and obtain insights. Analyze the flexibility, modularity and robustness of system architectures. Increase awareness and understanding of diversity and implicit bias in teamwork communication, decision-making, and peer assessment

Month Five: Completion

Critique a system architecture, identifying its strengths and weaknesses. Examine principles of good (and examples of bad) systems architecture by real practitioners from different domains, including aerospace, civil architecture, and software. Increase awareness and understanding of diversity and implicit bias in teamwork communication, decision-making, and peer assessment.