The AESE specialization is intended to educate mid-career and senior engineers, and engineering managers to the problems and emerging solution approaches that can enable their enterprises to better respond to the challenges of globally distributed operations in complex, highly dynamic, event-driven environments. An “integrated perspective” that merges the views of management and engineering communities is increasingly recognized as one of the cornerstones of a successful approach to enterprise complexity and is a key aspect of the AESE specialization.

The additional AESE course include:

• Complexity and Large Scale Systems
  Comprehensive introduction to system and event complexity, software and systems engineering practices for complexity management, agile and plan-driven development, development and management processes and process models, data-, information- and knowledge-management, basics of distributed data and computation.
• Enterprise Architecting
  Architectural foundations, frameworks, standards, and infrastructures with an emphasis on layered architectures, loose coupling, architecture evolution, service- and component-oriented architectures, enterprise service buses, metadata and information virtualization, ontologies, Semantic Web, policy and governance, service-level agreements, information assurance essentials.
• Engineering Essentials for Open Distributed Systems
  Engineering tools and their use in defining the layered and service-oriented architectures, Unified Modeling Language and enterprise architecture tools, business and process modeling tools, visualization methods, data and information management tools, comprehensive domain modeling, architecture implementation via enterprise service buses.
• Patterns for Enterprise Architecting
  Fundamental aspects of pattern methodologies and re-use, requirements, design and architecture patterns, patterns for service-oriented architectures, enterprise application and integration patterns, E-business patterns, event-driven architectures and patterns for complex event processing, process patterns, architecture evolution and refactoring using patterns.

This program is considered full-time as enrollment each quarter is 12 units or more, with the exception of the Capstone course in the summer quarter.

The CPSS specialization is focused on the engineering of Cyber-physical-social systems that  integrate computing, physical assets, and human networks over the lifecycle from concept to deployment and evolution. While most think about people using systems, many complex systems (such as the smart grid, or smart cities) are actually a combination of computers, machines and people all working together to achieve individual, organizational, and social goals. This specialization places the human and their social interactions within the system of interest.

The additional CPSS courses include:

• Cyber-Physical Social Systems: Conception
  This course is focused on the transformation of opportunity into concept including: understanding customers and markets, the product development life-cycle, and the challenges of organizing, managing, and growing a successful endeavor.  Students learn to transform the definition of a problem in a technical social context to system concept, use-case scenarios and technical requirements which is described using a model-based approach.
• Cyber-Physical Social Systems: Architecture
  In this course students you will study the ways architectures are developed and represented. Well-known architectural patterns (such as layered and n-tiered) will be discussed and analyzed using case study methods. Student will learn, and delve into their strengths and weaknesses. We’ll examine case studies that illustrate excellent, and not-so-excellent examples. We will describe best-practices in evaluating architectures, and measuring their suitability to task, and developing ways to improve on existing architectures.
• Cyber-Physical Social Systems: Implementation
  This course explores methods for evaluating systems for correctness, efficiency, performance, scalability, and reliability. Students gain an understanding of product acceptance testing through an established, customer requirements oriented verification process. Skills covered include inspection, unit-level testing, and integrated system-level analysis. The role of automation is examined. Emphasis is on problem-solving skills, especially in analyzing software components.
• Cyber-Physical Social Systems: Evolution
  This course focuses on managing the evolution of a system after its initial release to the market through retirement on three levels. The foundation is to craft policies, processes and infrastructure to support, maintain and respond to quality issues. Second, to drive the evolution of system capabilities and characteristics based on evolving needs and enabling technologies. Third, to proactively “disrupt” the market by reframing the opportunity and reinventing the system.

This program is considered part-time as enrollment each quarter is 8 units or less.

The VSC specialization is concerned with supply chains which are the connective tissue of the global economy that is the source of much of the innovation that enables economic stability and growth. Ultimately, supply chains determine the economic, social, and environmental sustainability of engineered systems. There has been growing industrial demand for engineers who can understand, design and manage complex end-to-end supply chains. Systems engineering skills combined with the supply chain and business mindset, which is the focus of this specialization, matches well with this growing industry demand. 

The additional VSC courses include:

• Value Supply Chain: Conception
  Covers end-to-end supply chain fundamental foundation and principles, including value chain creation and strategy (top-line growth in demand) and supply chain integration (bottom-line control in supply), overview on supply chain systems from raw materials to customers, planning/forecasting, procurement, logistics, manufacturing, inventory, and global nature of supply chains.
• Value Supply Chain: Architecture
  Supply chain economics and finance, development of cost management and strategy such as Should Cost Modeling and AIM & DRIVE, financial models and legal systems, price and cost analysis including total cost of ownership (life cycle) and value engineering (optimization), law of demand and supply, and bottom-line impact and risk assessment.
• Value Supply Chain: Implementation
  Framework to the use of data and analytics in decision-making of various processes including sourcing and procurement, developing category profit and sourcing strategy, to improve the performance of various operations. Enhance understanding of business models and partnership engagement, ESG commitment and opportunity.
• Value Supply Chain: Evolution
  This course introduces the latest industry practices related to the value supply chain management. It includes new technological advances, such as blockchains, Internet of Things, Artificial Intelligence and digitization of supply chains. This course engages students with leading supply chain industry experts and enhances their understanding on economically evaluating the latest technological evolutions in the supply chain industry and new potential business models.

This program is considered part-time as enrollment each quarter is 8 units or less.