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Course Outline
Foundations of Agile Thinking
- The Agile Manifesto and its relevance beyond software.
- Comparing agile with traditional waterfall and plan-driven models.
- Scrum roles, events, and artifacts mapped to academic project cycles.
- Kanban and flow-based management for research and teaching teams.
- Choosing agile hybrids suitable for engineering and design environments.
Agile Planning and Collaboration
- Writing user stories and defining acceptance criteria for engineering problems.
- Backlog prioritization techniques: MoSCoW, value vs. effort, risk-driven ordering.
- Sprint planning and estimation with non-software teams.
- Retrospectives and continuous improvement in an academic setting.
- Collaboration tools and boards for multi-disciplinary participants.
Introduction to DevOps Culture
- Defining DevOps: breaking silos between development and operations.
- The CALMS model: Culture, Automation, Lean, Measurement, Sharing.
- DevOps in research labs, civil engineering teams, and architecture studios.
- Building a blameless culture and feedback loops in educational institutions.
- Ethics, security, and compliance considerations in academic DevOps adoption.
Version Control and Collaborative Code Management
- Git fundamentals for reproducible engineering and design work.
- Branching strategies: trunk-based, feature branches, and simplified GitFlow.
- Pull requests, peer review, and code ownership in teaching teams.
- Managing non-code assets: CAD files, BIM models, simulation datasets.
- Repository organization for course materials and student projects.
Continuous Integration and Build Automation
- CI concepts and their application to compiled and scripted engineering tools.
- Setting up automated builds for software, simulations, and documentation.
- Pipeline stages: compile, package, lint, and pre-flight checks.
- Popular CI platforms overview: GitHub Actions, GitLab CI, Jenkins.
- Handling large artifacts, dependency caching, and parallel execution.
Software Quality and Static Analysis
- Defining software quality: maintainability, reliability, usability, efficiency.
- Code metrics: cyclomatic complexity, coupling, cohesion, and duplication.
- Static analysis tools for Python, Java, C++, and common engineering scripts.
- Documentation as quality: docstrings, README standards, and living docs.
- Integrating quality gates into CI pipelines without blocking student progress.
Testing Strategies and Test Design
- The testing pyramid: unit, integration, system, and acceptance testing.
- Writing unit tests for engineering calculations, simulations, and utilities.
- Test-driven development (TDD) and behavior-driven development (BDD) fundamentals.
- Mocking external systems: sensors, APIs, finite-element solvers.
- Structuring test suites for multi-disciplinary team projects.
Test Automation and Continuous Testing
- Automating test execution within CI/CD pipelines.
- Test reporting, coverage thresholds, and flaky test management.
- Property-based testing and fuzzing for engineering algorithms.
- Regression testing strategies for evolving course assignments.
- Performance and load testing for simulation and rendering workloads.
Continuous Delivery and Deployment Concepts
- CD fundamentals: delivery vs. deployment, environments, and promotion.
- Deployment patterns: blue-green, canary, and feature toggles.
- Applying CD principles to publish research artifacts, course sites, and apps.
- Container basics with Docker for reproducible engineering environments.
- Infrastructure as Code introduction: managing lab and cloud setups declaratively.
Observability, Monitoring, and Feedback
- Logging, metrics, and tracing for academic software and simulations.
- Setting up lightweight monitoring for student projects and research tools.
- Using feedback data to iterate on teaching materials and lab assignments.
- Dashboards and alerting appropriate for educational contexts.
- Post-deployment verification and rollback procedures.
Security and Quality Best Practices
- Secure coding fundamentals: input validation, authentication, and secrets management.
- Dependency scanning and vulnerability management in open-source stacks.
- License compliance for software used in teaching and publication.
- Data privacy considerations when handling student and research data.
- Building a security-aware culture in engineering and design programmes.
Translating Practices into Teaching Modules
- Designing agile project assignments for systems, civil, design, and architecture students.
- Creating rubrics that assess process quality alongside product quality.
- Setting up template repositories with pre-configured CI for student use.
- Scaffolding DevOps concepts progressively across a semester.
- Evaluating student teams using real-world quality and automation metrics.
Toolchain Selection and Academic Constraints
- Evaluating free and open-source tools for budget-conscious departments.
- Integrating with existing LMS, file storage, and lab infrastructure.
- Managing technical debt in long-running research codebases.
- Onboarding students and faculty with varying technical backgrounds.
- Maintaining sustainability when key contributors graduate or rotate.
Requirements
- A basic understanding of software development concepts.
- Familiarity with general engineering or design workflows.
- Experience using computers for academic or project-based work.
Audience
- Professors and lecturers from Systems Engineering, Civil Engineering, Design, and Architecture programmes.
- Academic staff seeking to modernize their teaching with industry-relevant practices.
- Research leads and lab coordinators integrating technology into the curriculum.
42 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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Testimonials (2)
Craig was extremely involved in the training, always making sure we are paying attention, adapted the examples to our day-to-day activities and always provided an answer when asked, even if the information was not added in the presentation.
Ecaterina Ioana Nicoale - BOOKING HOLDINGS ROMANIA SRL
Course - DevOps Foundation®
real life examples
