Course 27 | Advanced Engineering Methods
Digital Engineering Foundations for Mechanical Engineers
Connect requirements, information, models, evidence, digital threads and AI-assisted workflows into defensible, reviewable engineering decisions. Eight modules, one running case: a bolted bracket.
Course snapshot
- Purpose
- Teach how mechanical engineering information, requirements, models, simulations, measurements, tests, AI assistance, and decisions can be connected, controlled, reviewed, and reproduced.
- Prerequisites
- Related advanced methods
- Used in Career Directions
How this course is designed
One running case
Every module builds one part of the evidence for a bolted bracket, and Module 8 connects them into a single digital thread you can inspect end to end.
Connect, don't just store
The habit throughout is to tie each artifact to the decision it supports, so another engineer can trace a claim back to its requirement, model and evidence.
Foundational, with links out
Detailed model credibility, uncertainty, optimization and reliability live in their own courses; this course builds the structure they all rely on.
The 8 modules
01 | Module
What Digital Engineering Is
Definitions, artifacts and evidence, lifecycle decisions, authoritative sources, and controlled change.
02 | Module
Engineering Information and Configuration
Identifiers, metadata, versions, revisions, baselines, provenance and reproducibility.
03 | Module
Requirements, Functions and Architecture
Verifiable requirements, functions and interfaces, logical and physical architecture, and typed traceability.
04 | Module
Models and Model-Based Engineering
Models as controlled artifacts, purpose, scope, assumptions, and MBSE and SysML awareness.
05 | Module
Simulation, Verification and Evidence
Simulation as evidence, verification methods, validation and applicability, credibility and traceability.
06 | Module
Digital Threads, Twins and Interoperability
Digital threads, what a twin is and is not, interoperability, and change impact through connected artifacts.
07 | Module
AI-Assisted Digital Engineering
Bounded AI tasks, requirements and traceability review, precision and recall, governance and human authority.
08 | Module
Integrated Mechanical Engineering Application
The bolted-bracket capstone: connect need, requirements, architecture, models, evidence and decisions into one thread.