Systems Engineering Advanced Training

Commitment 3 Days, 7-8 hours a day.
Language English
User Ratings Average User Rating 4.8 See what learners said
Delivery Options Instructor-Led Onsite, Online, and Classroom Live


Systems Engineering Advanced Training introduces attendees to a proven and advanced system engineering process and methodology that can be applied to any complex project. The Systems Engineering Advanced 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.

  • 3 days of Systems Engineering Advanced Training with an expert instructor
  • Systems Engineering Advanced Electronic Course Guide
  • Certificate of Completion
  • 100% Satisfaction Guarantee



Upon completing this Systems Engineering Advanced Training course, learners will be able to meet these objectives:

  • 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 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.
  • We can adapt this Systems Engineering Advanced Training course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Systems Engineering Advanced course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Systems Engineering Advanced 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 Advanced course in a manner understandable to lay audiences.

The target audience for this Systems Engineering Advanced Training course:

Systems Engineering Workshop is designed for professional engineers and scientists who have basic systems engineering responsibilities or who want to grow into this role

  • Working in any sort of system development
  • Project leader or a key member of a product development team
  • Looking for practical methods to use today

The knowledge and skills that a learner must have before attending this Systems Engineering Advanced Training course are:

  • While there are no formal course prerequisites, this Systems Engineering course assumes a couple of years of prior experience in designing and building systems, large or small.


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
  • Database design capture
  • Simulation-based design capture
  • Optimizing design capture
Synthesis 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
Systems Engineering Advanced TrainingSystems Engineering Advanced Training Course Wrap-Up


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