Software & Information Systems

Software is the operational layer of modern engineering. These notes span the full range — from engineering software systems and managing data infrastructure to building AI applications and securing the systems that run critical infrastructure.

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Subdisciplines

Software Engineering

Designing, building, and maintaining software at scale. Architecture, APIs, testing, DevOps, and engineering best practices.

Information Systems (Software & Information Systems)

Data modeling, databases, enterprise systems, systems integration, and information architecture.

Data Science & AI

Statistics, machine learning, deep learning, data pipelines, model deployment, and AI in engineering contexts.

Agentic AI

AI agents, tool use, multi-agent systems, LLM engineering, and the emerging architecture of autonomous AI systems.

Cybersecurity

Fundamentals of information security, OT/ICS security, network defense, and secure-by-design principles for critical infrastructure.

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How These Topics Connect

Foundations (Programming)
    └── Software Engineering ──── Architecture, APIs, DevOps
            ├── Information Systems ── Data modeling, Databases
            ├── Data Science & AI ──── ML, Analytics, Modeling
            ├── Agentic AI ─────────── LLMs, Agents, Orchestration
            └── Cybersecurity ───────── IT/OT Security, Compliance

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Prerequisites

• Programming Foundations
• Mathematical Foundations — especially for Data Science & AI

Connects To

• Distribution System Operator — ADMS, analytics
• Technical Product Management
• Technical Consulting