| Code |
16233
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| Year |
3
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| Semester |
S1
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| ECTS Credits |
6
|
| Workload |
PL(30H)/T(30H)
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| Scientific area |
Informatics
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Entry requirements |
N/A
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Learning outcomes |
Students should design and implement CI/CD pipelines with quality control, security, and automation; use tools for code management, continuous integration, monitoring, and orchestration; develop automated tests integrated into DevOps; apply security principles in DevSecOps pipelines; configure cloud environments and microservices architectures; use AIOps/MLOps platforms; interpret metrics to make decisions on performance, reliability, and scalability; and document, communicate, and reflect on technical decisions in collaborative contexts.
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Syllabus |
1. Introduction to X-Ops and Modern Software Operations
2. DevOps Foundations and Source Code Management
3. Reliable Programming and Software Quality in X-Ops
4. Testing in DevOps Pipelines
5. Continuous Integration and Continuous Delivery (CI/CD)
6. Cloud-Native Applications and Microservices Architecture
7. DevSecOps and Quality Gates
8. Automated Testing with AI and Mutation Testing
9. MLOps: Deploying and Operating ML Systems
10. AIOps: Intelligent Operations with AI Assistance
11. DataOps: Pipelines, Quality, and Observability
12. LLMs & DevOps: Agentic Workflows and Code Generation
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Main Bibliography |
- Engineering Software Products: An Introduction to Modern Software Engineering, Ian Sommerville, Pearson, 2020.
- Pro Continuous Delivery - with Jenkins 2.0, Nikhil Pathania, Apres, 2017.
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Teaching Methodologies and Assessment Criteria |
1) In-Class Activities:
- Theoretical Classes (T)
- Practical-Laboratory Classes (PL)
- Project-Based Learning
Grading Components:
- F1: 1st Term Test (5 points)
- F2: 2nd Term Test (5 points)
- P: Project (10 points)
Final Grade = F1 + F2 + P
2) Final Examination:
- Written Exam (E: 10 points)
- Project (P: 10 points)
Final Grade = E + P
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Language |
Portuguese. Tutorial support is available in English.
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