This course focuses on systems engineering fundamentals and system approaches in connection with system life cycle and development acquisition. Topics include:
This course covers principles, strategies, processes, and methodologies of research & development project management. Also covered are the disciplines of planning, organizing, securing, managing, leading, and controlling resources to achieve specific goals. We also investigate & analyze eliciting customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem. Scheduling, cost analysis, quality management, and change management are also studied.
This course deals with system analysis methods and compensation analysis processes. Focuses are given to understanding value analysis, metric selection, multiple goals, mathematical optimization, and MOMD optimization in order to solve a real problem. Mathematical modeling technologies and related computer tools are also studied with experimental exercises. Engineering applications with emphasis on practical problem solving is discussed rather than dealing with theoretical issues.
This course covers schedule management in terms of DFSS I2DOV technology development, CDOV product development process (Design for Six Sigma), DFSS based quality management, and system technology processes required during project life cycles. Related computer tools are also presented with practical
exercise projects.
The three major objectives to be accomplished by project management team is cost, schedule and performance. Earned value management is a project management technique which was conceived to satisfy the above three objectives in a harmonized way using the concept of earned value. This subject will provide the in-depth understanding about followings in the view of EVM.
This course introduces the approach, activities, products, processes, tools and controls that will be used during the relevant phases of a project to support and eventually ensure the successful development, deployment and commissioning of the system engineering project telescope, including maintenance and support capabilities, on the selected project site. At the planning phase, topics discussed are planning of analysis of user requirements, requirements analysis and validation, functional analysis, functional verification and synthesis, design verification, and testing, verification and acceptance. Management issues are design of work breakdown structures, interface management, data management, risk management, configuration management, and change management.
The purpose of this course is to understand basic awareness of risk management concepts and mechanisms, to enable participants to identify and manage risks in their own units and to strengthen project management through adequate forward planning of potential risks. This course also introduces a basic definition of risk and the purpose of risk management, and also discusses steps towards the effective management of risks. Practice case studies and exercises are proposed at the end of the course session, and participants are requested to undertake a mock risk analysis using the methodology described in the module.
By the end of the training session, participants should be able to:
We discuss fundamental principles and relationships as they relate to requirements (plus MOEs, etc), with emphasis on how requirements come into existence: the relationship between requirements and design. Then addressed are the techniques used to capture, validate and gain a complete understanding of requirements, both initially, and at all subsequent stages of a system life cycle. Details of the conversion of individual requirements into effective requirements specifications are also presented.
This course covers system architecture design and implementation that support success at high level operations. You will learn comprehensive guidelines for conceptual design, basic processes, and the corresponding right methodology to meet one's industrial applications and characteristics. This course also covers unique US militarily systems architecture as well as Koreans. Covered topics are:
After completing this course, you will be able to understand a conceptual design and basic principle of architecture framework by completely understanding DoDAF (Department of Defence Architecture Framework). This course also covers enterprise architects and the people they work with, to explore how best to make Enterprise Architecture. The focus of this course is to understand necessities, definition, implementation method, and how to implement Enterprise Architecture into mainstream business decision-making as well as on the frameworks and processes that Enterprise Architects use.
Cost-effective analysis is a necessary tool to ensure that resources are being used as wisely as possible. We discuss the basic concept and methodology to determine which interventions are the most cost-effective and which alternative has low risk: it requires an understanding of which alternatives have worked, how much they cost, and how they were executed. The Detailed case studies are introduced and also discussed with specific methodologies as a way to evaluate project progress.
This course covers the systems integration, verification and validation (IV&V) processes and activities at each of the different program phases. Topics include verification planning, verification and validation methods during systems/product development, production/launching and operation phases; systems requirements validation, unitary tests, subsystem tests and integration test data collection, test data analysis and test reporting. We learn the following topics too.
This course is designed as an introduction to how engineering products are designed in terms of systems engineering. It is intended for use in an introductory design course in engineering with the objective of providing statistical and M&S analysis for people interested in exploring systems engineering disciplines. Topics include:
Model-based systems engineering (MBSE) is the formalized application of modeling to support systems requirements, design, analysis, verification and validation, beginning in the conceptual design phase and continuing throughout development and later life cycle phases. Topics include:
Simulation is the process of designing a model of a system, and conducting experiments to understand the behavior of the system or evaluate various strategies for the operation of the system. Modeling & Simulation (M&S) has become an important tool in all phases of the acquisition process, and can be used within all life cycle phases, including requirements analysis, concept exploration & evaluation, design & development, integration, test & evaluation, and production & sustainment. This introduction to M&S for systems engineers focuses on understanding the principles of simulation and how models and simulations are used in each phase of the systems engineering life cycle. Advanced statistical methods are used to conduct requirements-driven simulation analysis and experimentation. The course provides treatment of advanced M&S topics, including verification, validation, and accreditation techniques; methods for simulation interoperability and composability; modeling of the system environment, both natural and man-made; modeling of system costs; and the establishment of collaborative M&S environments.
This course helps participants enhance and extend concepts for creating UML models in their daily work applications. UML stands for Unified Modeling Language. This object-oriented system of notation has evolved from the work of Grady Booch, James Rumbaugh, Ivar Jacobson, and the Rational Software Corporation. In this course, we study an object-oriented approach, comparing it with a traditional structured approach. UML is accepted by the Object Management Group (OMG) as the standard for modeling object oriented programs. Each student is responsible for additional preparation and self-study for the following topics:
Expanding upon model building concepts covered in SE652 System Modeling Language, this course helps participants to enhance and extend concepts for creating SysML models in their daily work applications, to face OCSMP test-taking abilities with in-class exercises and discussions, and to prepare for the “OCSMP Model Builders." Topic reviews and added material lead to a deeper and broader understanding of concepts covered in System Modeling Language (including how to create additional model constructs for all 9 types of SysML diagrams). We discuss the answers to provide invaluable insights. We cover all relevant study topics and review the OCSMP exam structure and related thought processes.
This course aims at learning and implementing architecture framework based on DoDAF in connection with SoS (system of system) problems. Topics include:
Specialty engineering includes the engineering domains that are not typical of the main engineering effort. Hardware engineering, software engineering, and human factors engineering may be used as major elements in a majority of systems engineering efforts and therefore are not viewed as "special". Specialty engineering domains include electromagnetic interference, electrical grounding, safety, security, electrical power filtering/uninterruptible supply, manufacturability, and environmental engineering. In the areas of specialty engineering, we study following topics:
You will learn the concepts, theories and principles of how networking sensors, shooters and decision makers can improve warfighting capabilities. The various elements and enabling technologies for NCW are discussed. You will learn how sensors, precision weapons, data links and command and control systems are connected together to provide the right information to the right warfighter at the right time. Additionally, you will learn how to develop models to simulate the performance of a network-centric architecture. You will learn about the metrics, MOPs, MOEs, KPPs, KIPS and the network-centric checklist that are all used for test and evaluation.
Reliability centered design analysis is a formalized methodology that follows a step-by-step process. RCDA lowers the probability and consequence of failure, resulting in the most reliable, safe, and environmentally compliant design. You will learn the following topics
In this course you will learn both the technology and applications of satellites ranging from the early Sputnik to today’s advanced nano-satellites with optical laser links. We will review the satellite system components as well as the satellite deployment process from the launch to the in-orbit operation. Finally, we will study how to design a satellite network and select the proper components. In short, you will learn everything from A to Z for a comprehensive review of this important technology.
In this course we study basic concept and principles of combustion power plants. Also discussed are main parameters, key variables, and methodologies when we perform reverse engineering Topics include:
We try to understand the evaluation and analysis of existing software engineering concepts, methodologies, and techniques, as a high-level software engineering course. In order to overcome its limitations or to discuss newly emerging object-oriented software engineering (OOSE), we discuss systems engineering, a new concept of component-based software engineering (Component Baced SE), and architecture-based software engineering (Architecture Based SE). Also discussed are UML, Component-based design, and CMMI.
State of the art in systems engineering technology is discussed in connection with current new technologies and their application issues. Focuses are given to understanding current technology trends in terms of application and academic research. Participants are required to complete one research problem and also try to analyze their results in connection with current research issues.
Participants are required to survey current research papers and new technology trends. They are also required to select their own research topics, and to solve them using various systems engineering methodologies. Evaluation is based on how completely they solve their problem within a semester.
In this course, we discuss and analyze meaningful real project cases which have been performed by systems engineering approaches. From their different existing projects, different types of problems, and different types of approaches, we investigate problem-solving processes. Topics include: