Systems Engineering Training Level II

Systems Engineering Training Level II

Course Delivery

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Course Overview:

Systems Engineering Training Level II Course Description

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.

Customize It:

• If you are familiar with some aspects of this Systems Engineering Training Level II course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the Systems Engineering Training Level II 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 II course in manner understandable to lay audiences.

Related Courses:

Systems Engineering Training Level I
Reliability Engineering Training

Systems Engineering Training Level II – Audience / Target Group:

The target audience for this Systems Engineering Training Level II course is defined here:

• 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.

Systems Engineering Training Level II – 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 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.

Systems Engineering Training Level II – Course Content:

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

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

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