Price: $1,799.00
Course Number: 902
Length: 2 Days
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Systems Engineering Training, Level II, Advanced

Systems Engineering training, Level II introduces attendees to a proven and advanced system engineering process and methodology that can be applied to any complex project. The course will assist with the organization of requirements, the identification and management of risks, the establishment of real system boundaries for development activity, reliability and quality assurance. Other Systems Engineering Training Courses Systems Engineering Training Systems Engineering Training Level II provides the students with guidance for the following:

    • Life cycle phases for technology-oriented and product development Systems
    • Activities needed to carry out each development task [based on industry best practices]
    • Tailoring development activities to fit large and small projects [tailoring up and tailoring down, respectively]
    • Roles and responsibilities in project or product development
    • Important activities that the system’s owner needs to be involved with
    • Activities to ensure that all the bases are covered for each activity
    • Tips, cautions, and other essential information needed for a task
    • Applicable systems engineering industry standards
    • Systems engineering Templates for the development of key project documents
    • Example case studies to assist the practitioner in tailoring the processes for their project
    • Acronyms and glossary terms
    • Reference materials for more in-depth reading
    • Templates & guidance and systems engineering documents
    • Complete Case Studies

Other Related Courses: Systems Engineering Training, Systems Engineering Course Systems Engineering Blogs TONEX Systems Engineering Training Blog at Tumblr  

Who Should Attend

Participants must have some basic knowledge of systems engineering, software engineering, and management, including exposure to quality assurance, configuration management, and basic management principles. Any engineer with intermediate system engineering responsibilities who is interested in advanced system engineering processes including project managers with previous engineering experience.

Objectives

UPON COMPLETION OF THIS INTENSIVE COURSE, THE PARTICIPANTS WILL:

  • Describe System Engineering Planning and Management
  • Acquire System Engineering Project Management
  • Applying standards (ISO, EIA, and IEEE), the SEI Capability Maturity Models - Integration (CMM - I) throughout the development process
  • Understand advanced systems engineering processes
  • Utilize advanced engineering disciplines and program/project management
  • Demonstrate its role and value in the development of products, processes, and services
  • Understand advanced concepts in the development cycle, generating requirements, selecting alternative solutions, QA, testing and measuring of solution development relative to requirements.
  • Produce designs and cost estimates of complex products faster and cheaper
  • Work with customers to better translate user needs into outstanding delivered products
  • Define optimal verification and validation programs tailored to your company and your customer’s risk threshold
  • Manage risk in a cost constrained environment
  • Trade systems resources including technical, cost, and schedule
  • Explore case studies including templates, and checklists that support the systems engineering approach.

Outline

Systems Engineering Review

  • Extracting and organizing requirements
  • Defining project boundaries
  • Establishing the system-level functional and physical contexts
  • Introduction to behavior modeling
  • Deriving the detailed system functionality
  • Allocating functional behavior to the physical architecture
  • Interfaces and physical links
  • Test planning and requirements verification

Managing System Deployment and Operations Scenarios

  • From Production to Deployment
  • Transition to support
  • Systems fielding
  • Operations and maintenance of deployed systems
  • Sustainment of existing systems
  • System modifications and upgrades
  • Modernization, the Big Upgrade
  • Retirement and replacement of systems in the operations environment.
  • Training of end users and systems administrators

Building SE Competencies

  • Concept Definition
  • Requirements Engineering
  • System Architecture
  • System Design and Development
  • Systems Integration
  • Test and Evaluation
  • Systems Implementation, O&M, and Transition
  • SE Planning and Management
  • Collaborating with Technical Specialties
  • Building Successful Teams
  • Communicating with Impact
  • Results Orientation
  • Adaptability

Project Management skills

  • Project Management skills applied to systems engineering
  • Integration Management
  • Scope Management
  • Quality Management
  • Time Management
  • Cost Management
  • Risk Management
  • Human Resource Management
  • Procurement Management
  • Communications Management
  • Systems Engineering Project Management
  • Personal Time Management
  • Formal Scheduling and Resource Allocation
  • Planning, tasking, and controlling complex task structures
  • Managing life cycle implementations

Plans, Processes, and Documentation

  • Configuration Management Plan
  • Operations and Maintenance Plans/Documentation
  • Project Plan
  • Quality Assurance Plan
  • Risk Management Plan
  • Risk Mitigation Plan
  • Strategic Plans (Acquisition Strategy)
  • Systems Engineering Plan
  • Systems Engineering Management Plan
  • Systems Integration Plan
  • Tailored Systems/Software Engineering Processes
  • Test and Evaluation Master Plan
  • Training Plans and Documentation

Cost, Schedule, Resources and Tasks

  • Cost and Schedule
  • Cost/benefit Analysis
  • Critical Path Method Analysis
  • Market Research Analysis
  • Proposal Development (RFPs)
  • Information for Bid (IFB)
  • Resource Allocation
  • Task Definitions
  • Statement of Work (SOW)
  • Work Breakdown Structure (WBS)

Alternative learning concepts

  • Operation research analysis approach
  • Incremental evolutionary approach
  • Revolutionary strategies

Attributes of engineering complex systems

  • Creating a High-Performing team for Systems Engineering
  • Constructing Systems Engineering Requirements
  • Performing a Functional Analysis
  • Developing a Systems Architecture
  • Performing System Design and Development
  • 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
  • Review of needed attributes
  • Hypothesis for improving design attributes
  • Alternative hypothesis

Communication skills

  • Writing, speaking, listening and computer literacy
  • Data base design capture
  • Simulation based design capture
  • Optimizing design capture

Snthesis and creativity skills

  • Separating real and preconceived constraints
  • Synthesis and abstraction skills
  • Creativity can be learned
  • Creative problem solving

Team building

  • Resources
  • Building small teams
  • Leadership and formal team building
  • Creating hierarchies of product teams
  • Managing complex team structures

Process skills

  • Work breakdown structures/risk management
  • Life cycle models
  • Planning the life cycle
  • Planning product architecture
  • Control of the life cycle
  • Task controls
  • Complex program control systems
  • Maturity and capability of a given process
  • Integrated product and process team approaches
  • Design model verification
  • Capability assessment of education efforts to enhance

System maintainability and maintenance system supportability and logistics

  • Engineering Economics and Cost Analysis Simulation-Based Costing and Acquisition Tools and models
  • Trade-offs between system performance and life-cycle cost
  • Historical overview of the management accounting process
  • Statistical cost estimation
  • Cost allocation
  • Modeling and Simulation
  • Problem formulation
  • Model building
  • Data analysis
  • Example: Monte Carlo simulation and systems dynamics modeling
  • Elements of Operations Research
  • Strong modeling orientation
  • Decision-oriented models
  • Linear programming
  • Inventory control
  • Forecasting

systems Operational Effectiveness and Life-Cycle Analysis

  • Process for designing effective reliable system operational effectiveness
  • Design decisions and system operation
  • Maintenance and logistics
  • Advanced Data Analysis and Forecasting
  • Data analysis and presentation
  • Linear and nonlinear regression
  • Neural networks
  • Factor analysis
  • Analysis of variance
  • Time series analysis
  • Other regression techniques will be presented
  • MATLAB software packages
  • Industry standard data analysis and mining tools: SPSS, SAS, and BrainMaker

System Engineering of Complex Systems

  • Effective systems engineering
  • Engineering management
  • Project definition
  • Work breakdown
  • Estimating
  • Resource planning
  • Critical path development
  • Scheduling
  • Project monitoring and control
  • Scope management

Hands-on Project: Advanced System Architecture and Design

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