Instructor Resources¶

Teaching software engineering, governance, and operational trust in the AI era

Instructor resources for Engineering Trustworthy Intelligent Systems are intended for educators using the book in software engineering, AI governance, enterprise systems, intelligent systems, capstone, project-based, or professional-practice courses.

The resource ecosystem will expand over time. Some materials may be public, while instructor-only materials such as solution notes, grading guidance, and assessment rubrics may be distributed separately.

Course Integration¶

ETIS can support several course models:

Software engineering
AI governance and responsible AI
Enterprise systems engineering
Software architecture
DevOps and operational readiness
Capstone and team software process courses
Professional engineering practice seminars

The book is especially suited for courses where students must connect engineering decisions to evidence, review, governance, repositories, release readiness, and operational accountability.

Planned Instructor Materials¶

Planned instructor-facing materials include:

Lecture outlines
Slide decks
Assignment prompts
Project scaffolding
Review-board exercises
Repository-centered engineering activities
AI-governance case studies
Release-readiness exercises
Operational-readiness exercises
Portfolio-defense guidance
Rubrics and grading aids
Discussion prompts
Capstone integration guides

Classroom Activities¶

ETIS supports applied classroom work such as:

Requirements review
Architecture decision review
AI-use log review
Pull request and code-review simulation
Release-readiness defense
Incident-response tabletop exercise
Postmortem analysis
Repository audit
Review-board presentation
Operational trust assessment

These activities reinforce the central ETIS premise: trustworthy systems are not proven by demonstrations alone. They are defended through evidence, reviewability, governance, and operational learning.

Suggested Course Use¶

Instructors may use ETIS in several ways:

As a full-semester software engineering text
As a companion text for AI governance or responsible AI courses
As a capstone project governance framework
As a source of review-board and release-readiness exercises
As a professional-practice framework for engineering teams
As a repository-centered engineering model for student projects

Student Project Alignment¶

ETIS works best when students maintain a repository as the system of record. Projects should preserve requirements, design decisions, implementation evidence, test evidence, AI-use records, review outcomes, release decisions, and operational lessons.

Useful project artifacts may include:

Requirements records
Use cases or user stories
Architecture decision records
Work breakdown structures
Review logs
AI-use logs
Test evidence
Release-readiness records
Postmortems
Final engineering defense materials

Instructor Distribution Notes¶

Some instructor materials may be withheld from the public website to preserve assessment integrity. Public materials may include teaching guidance, activity descriptions, and general assignment structures. Instructor-only packets may include rubrics, sample answers, solution notes, grading guidance, and detailed evaluation materials.

Status¶

Instructor resources are under development and will be expanded as teaching materials, classroom activities, and support artifacts are finalized.