Systems Engineering Advanced Training Online and Onsite

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
Price	REQUEST
Delivery Options	Instructor-Led Onsite, Online, and Classroom Live

COURSE OVERVIEW

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.

WHAT'S INCLUDED?

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

RESOURCES

Systems Engineering Advanced Training – https://www.wiley.com/
Systems Engineering Advanced – https://www.packtpub.com/
Systems Engineering Advanced – https://store.logicaloperations.com/
Systems Engineering Advanced Training – https://us.artechhouse.com/
Systems Engineering Advanced Training – https://www.amazon.com/

ADDITIONAL INFORMATION

COURSE DESCRIPTION

COURSE OBJECTIVES

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.

CUSTOMIZE IT

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.

AUDIENCE/TARGET GROUP

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

CLASS PREREQUISITES

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.

COURSE SYLLABUS

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 Training Course Wrap-Up

ENROLL

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Systems Engineering Advanced Training

Course Description