Systems Engineering Course

Lesson 1 • Systems Thinking Fundamentals

Introduces emergence, feedback loops, and interdependency as core analytical lenses. Builds the mental models needed for all subsequent technical content.

Lesson 2 • Standards and Process Frameworks

Introduces internationally recognized systems engineering process standards and their structure. Equips students to navigate process documentation used in professional practice.

Lesson 3 • What Is Systems Engineering

Defines systems engineering as a discipline distinct from component engineering. Anchors the chapter by framing the engineer's role across the full system lifecycle.

Lesson 4 • The System Lifecycle Overview

Surveys concept, development, production, utilization, and retirement phases. Provides the temporal framework referenced throughout the entire course.

Lesson 1 • Stakeholder Identification and Analysis

Maps all parties with interests in the system and prioritizes their influence. Establishes the human foundation before any technical requirement is written.

Lesson 2 • Needs Elicitation Techniques

Covers interviews, workshops, observation, and prototyping as elicitation methods. Connects raw stakeholder input to structured needs statements.

Lesson 3 • Requirements Validation and Review

Applies formal review techniques to confirm requirements are complete and correct before design begins. Closes the requirements definition process with a quality gate.

Lesson 4 • Requirements Management and Traceability

Establishes bidirectional traceability from stakeholder needs to system requirements. Introduces tooling and change-control practices for living requirements sets.

Lesson 1 • Functional Decomposition Methods

Breaks system-level functions into sub-functions using structured decomposition trees. Provides the analytical backbone for all architecture decisions in this chapter.

Lesson 2 • Requirements Allocation to Functions

Assigns each system requirement to one or more functions or logical components. Ensures full coverage and enables downstream verification planning.

Lesson 3 • Behavioral Modeling

Models dynamic system behavior through state machines, sequence diagrams, and activity flows. Reveals timing and sequencing constraints that shape architecture choices.

Lesson 4 • Architecture Evaluation and Selection

Applies structured evaluation criteria to compare candidate architectures. Produces a documented architecture decision with rationale for design chapters.

Lesson 1 • Model-Based Systems Engineering Practices

Uses a system model as the authoritative source for design information across disciplines. Introduces modeling languages and tool workflows for collaborative design.

Lesson 2 • Design for Reliability and Maintainability

Applies reliability allocation, redundancy, and maintainability analysis during physical design. Prevents costly redesign by embedding dependability from the start.

Lesson 3 • Physical Architecture Development

Maps logical components to physical elements such as hardware units, software modules, and operators. Establishes the design baseline that all subsystem teams will implement.

Lesson 4 • Human Factors and Operator Integration

Incorporates human performance requirements into physical design decisions. Ensures the system is operable, maintainable, and safe for its intended users.

Lesson 1 • Risk Mitigation and Response Planning

Develops avoid, transfer, mitigate, and accept strategies for prioritized risks. Links each response to schedule, cost, and technical performance impacts.

Lesson 2 • Qualitative and Quantitative Risk Analysis

Applies probability-consequence matrices and Monte Carlo simulation to prioritize risks. Provides the analytical basis for resource allocation to mitigation actions.

Lesson 3 • Risk Management Fundamentals

Defines risk, opportunity, and uncertainty within a systems engineering context. Establishes the conceptual framework applied in all subsequent risk activities.

Lesson 4 • Risk Identification Techniques

Uses checklists, brainstorming, and structured what-if analysis to surface technical and programmatic risks. Populates the risk register that drives mitigation planning.

Lesson 1 • Verification and Validation Concepts

Distinguishes verification (built right) from validation (right thing built) and their complementary roles. Frames the V-model relationship between design and test activities.

Lesson 2 • Test Execution and Anomaly Management

Covers test execution protocols, data recording, and formal anomaly reporting processes. Connects test outcomes to corrective action and re-verification cycles.

Lesson 3 • Integration Strategy and Sequencing

Selects and plans bottom-up, top-down, or incremental integration approaches. Minimizes integration risk by ordering assembly to expose interface faults early.

Lesson 4 • Test Planning and Design

Develops master test plans, test cases, and acceptance criteria linked to requirements. Ensures every requirement has a traceable, executable verification event.

Lesson 1 • Operational Deployment and Transition

Plans the handover from development to operations, including training and support infrastructure. Ensures operational readiness before full system deployment.

Lesson 2 • Configuration Management

Controls system configuration through identification, change control, status accounting, and audits. Maintains integrity of the system baseline throughout its operational life.

Lesson 3 • Logistics and Supportability Engineering

Designs the supply chain, spare parts, and maintenance infrastructure to sustain system availability. Connects supportability decisions to lifecycle cost and operational performance.

Lesson 4 • Obsolescence and End-of-Life Management

Identifies component obsolescence risks and plans mitigation through redesign or lifetime buys. Addresses responsible system retirement and disposal requirements.

Lesson 1 • Systems Engineering Management Planning

Develops a systems engineering management plan that governs technical processes across a program. Integrates schedule, resources, and technical performance into a unified plan.

Lesson 2 • Technical Reviews and Decision Gates

Structures formal technical reviews as decision gates that control lifecycle phase transitions. Ensures objective evidence drives program advancement rather than schedule pressure.

Lesson 3 • Trade Space Exploration and Optimization

Uses multi-objective trade studies and design of experiments to explore solution spaces. Enables informed decisions when cost, performance, and schedule objectives conflict.

Lesson 4 • Continuous Improvement and Process Maturity

Applies process maturity models and retrospective analysis to improve SE capability over time. Closes the course by connecting individual project learning to organizational excellence.