Course 902: Systems Engineering Fundamentals Level II

Systems Engineering 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.

UPON COMPLETION OF THIS INTENSIVE COURSE, THE PARTICIPANTS WILL:

• Apply 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 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

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

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

Advanced System Architecture and Design