Systems Engineering Training Level I

Systems Engineering Training Level I

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Systems Engineering Training Level I Course Description

Systems Engineering Training Level 1 covers systems engineering fundamentals to help attendees to understand systems engineering processes, application, and its value to the successful implementations of the systems developments projects. This Systems Engineering Training Level I course can be customized and tailored to the customer’s requirements and needs.

This three-day Systems Engineering Training Level I course will introduce attendees to the principles of Systems engineering (SE). After completion of the Systems Engineering Training Level I course, attendees will be able to implement SE processes, tools, and techniques in the design and development of products and services

Duration: 3 days

Systems Engineering Training Level I
Systems Engineering Training Level IRelated Courses

Customize It:

• If you are familiar with some aspects of Systems Engineering Training Level I, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the Systems Engineering Training Level I course around the mix of technologies of interest to you (including technologies other than those included in this outline).
• If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Systems Engineering Training Level I course in manner understandable to lay audiences.


After completing this Systems Engineering Training Level I course, attendees will be able to:

◾ Understand systems engineering requirements analysis and design
◾ Explore system engineering management
◾ Utilize tools and techniques essential for development of complex systems
◾ Explore applied practical problems to aid understanding systems engineering reliability and performance issues
◾ Produce designs and cost estimates of complex products
◾ Work with customers to better translate user needs into outstanding delivered products
◾ Define optimal verification and validation programs tailored to the organization and its customers
◾ Effectively use advanced IT processes to increase product development productivity and effectively manage design data and interfaces
◾ Manage risk in a cost constrained environment
◾ Trade systems resources including technical, cost, and schedule
◾ Explore software requirements engineering
◾ Understand software life-cycle models
◾ Explore product technical quality assurance

Systems Engineering Training Level I – Course Syllabus

Systems and Systems Engineering

◾Systems and systems engineering in the project/program environment
◾The system development life cycle
◾The systems engineering process
◾System Definitions and Concepts
◾Understanding Systems and Systems Engineering (SE)
◾Systems and SE in the project/program environment

The System Development Life Cycle

◾Systems Engineering Team Building
◾The Systems Engineering Process
◾Systems Engineering Requirements
◾Functional analysis process
◾System Analysis and Design Process
◾Conceptual System Design and Development
◾Preliminary System Design and Development
◾Detail Design and Development
◾Developing a Systems Architecture
◾Technical Reviews and Audits
◾Role of Configuration Management
◾Verification and Validation Testing
◾Risk Management Methodology
◾System Cost and Scheduling
◾System Production
◾Systems Engineering Management and Planning

System Analysis and Design Process

◾Systems Engineering Requirements Specifications
◾Understanding and Defining User Requirements
◾Performing a Function Process
◾Developing and Selecting a Systems Architecture
◾Software and Hardware Architecture
◾Defining, Controlling, and Managing Interfaces
◾Performing System Design and Development
◾Defining and Managing System Performance Parameters
◾Defining and Managing Systems Reliability Parameters
◾Alternative Models
◾Economic Evaluation
◾Optimization in Design and Operations
◾Queuing Theory and Analysis
◾Control Concepts and Techniques
◾Reliability and Maintainability
◾Usability (Human Factors)
◾Supportability (Serviceability)
◾Producibility and Disposability
◾Design for Affordability (Life-Cycle Cost)

Sample of SE processes

◾Solving simple well defined closed problems
◾Solving simple ill-defined problems with closed solutions
◾Solving complex ill-defined problems with closed solutions
◾Defining and solving ill-defined problems with closed solutions

Introduction to Engineering of Complex Systems

◾Concepts and definitions
◾How to engineer a system?
◾What is design?
◾What is system engineering?
◾System concepts

Application of SE Concepts

◾Understanding problem statements
◾Storing and managing frat information
◾Translating customer’s needs
◾Complete top level descriptions
◾Operational scenarios
◾Decomposing descriptions to the next level
◾Requirements allocation
◾Decomposing systems description another level
◾Control of the process

The systems approach

◾Need for the systems approach
◾Basic steps
◾Examples of the systems approach
◾Applying the systems approach to engineering of complex systems

Overview of tools used in the engineering of complex systems

◾Definition of problems and alternative solutions
◾Analysis of functions and systems
◾Requirement development
◾Generation of alternatives
◾Description and analysis of alternatives
◾Documentation and communication
◾Decision making

Integration of Specialty Engineering

◾Integration of Engineering Specialties Required to Create Systems
◾Operational/Engineering Needs
◾Hardware Engineering
◾Software Engineering
◾Human Factors With Emphasis on the Human Computer Interface
◾Reliability, Maintainability and Availability
◾Integrated Logistics Support
◾Quality Assurance
◾Safety Engineering and Other Specialties

Automation to support the engineering of complex systems

◾Automation functions
◾Commercial automation tools
◾Evaluation of basic automation tools
◾Simple automation macro
◾Document templates
◾Simulation tools
◾Decision making tools

Reliability Engineering

◾New tools in reliability engineering principles
◾How operations can improve reliability of their processes
◾How to influence improvements in availability
◾How someone can assist in reducing process failures
◾Calculate the cost of unreliability for making business decisions to attack problems of unreliability.
◾Reliability tools helpful for providing supporting evidence during root cause analysis failure investigations
◾Reliability tools and techniques helpful for understanding failure data
◾How to make business decisions, based on the failure data
◾Justify making equipment more reliable
◾Root Cause Failure Analysis
◾Error Control Coding (ECC) Fundamentals
◾Related Case Studies and Projects

SE Management

◾Systems Engineering Planning and Organization
◾Creating a High-Performing Team for Systems Engineering
◾Program Management and Control
◾Analysis and Checklist Methods
◾Probability Theory and Analysis
◾Probability and Statistical Tables
◾Interest Factors Tables
◾Conducting Technical Reviews and Audits
◾Using Configuration Management
◾Verification and Validation Testing
◾Managing Risk
◾Managing System Cost and Schedule Estimation
◾Producing the System
◾Systems Engineering Management and Planning

SE Tools

◾Process of simulation model development
◾Classification of models
◾Building simulation models
◾Point versus parametric evaluations
◾Trade studies
◾Linear programming
◾Stochastic simulation and trade studies
◾Root Cause Failure Analysis
◾Sensitivity analysis as a stochastic trade study tool
◾Stochastic modeling
◾Pitfalls in constructing simulation models

Technical Quality Assurance

◾Quality Procedures
◾Quality Assurance and Quality Control
◾Process Engineering (Standards) including Risks, Processes, Problems and Standards
◾Software Engineering Institute (SEI) System Engineering and Software Development Capability Maturity Models (CMMs)
◾ISO 9000 policy
◾IEEE standards
◾Quality assurance programs and three basic principles
◾Stringent quality and reliability requirements
◾Major quality functions
◾Knowledge of quality assurance/control methods, principles, and practices
◾Identification, prevention, and corrections processes
◾Procedures for assuring quality and reliability of products;
◾Supply quality assurance
◾Quality assurance parameters and metrics
◾Statistical analysis and sampling techniques
◾Functional orientation of quality assurance programs
◾Technical and quality policies and programs
◾Quality assurance on equipment, or systems developed, produced, or acquired
◾Requirements throughout the product’s life cycle
◾Quality assurance as a planned, systematic approach
◾Acquisition quality assurance
◾Maintenance and manufacturing quality assurance
◾System test and evaluation
◾Models to be discussed: Malcolm Baldrige, SEI CMM®, SEI PMM, ISO 9000 (9001), and SPICE

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