Programming & Tech

The problem-solving core of CS: data structures, algorithm design, complexity, and dynamic programming.

The discipline of computation: architecture, algorithms, databases, and AI foundations.

Storing data properly: design, modeling, administration, warehousing, and big data systems.

Shipping software continuously: CI/CD, containers, configuration management, and DevSecOps.

Gaming as a discipline: competitive strategy, esports careers, streaming, and game analysis.

Connecting the physical world: IoT devices, edge computing, cloud platforms, and data analytics.

Master the science of building intelligent systems that learn from data. Covers machine learning fundamentals, deep learning architectures, natural language processing, computer vision, and reinforcement learning. From theoretical foundations to practical implementation and real-world AI applications.

The developer's toolbelt: IDEs, testing tools, automation, and project management.

Computing on rented hardware: AWS, Azure, GCP, serverless architecture, and cloud cost management.

How machines talk: protocols, the internet stack, network management, and security.

Attacking and defending systems: ethical hacking, cryptography, network and cloud security, and incident response.

From raw data to decisions: statistics, visualization, big data, forecasting, and causal inference.

Protecting yourself online: encryption, tracking, GDPR, and anonymous browsing.

Building for phones: Android, iOS, Flutter, cross-platform frameworks, and mobile security.

What runs beneath your code: processes, memory, file systems, concurrency, and distributed systems.

First principles of programming: control structures, data structures, debugging, APIs, and version control.

Mastering specific languages: Python, JavaScript, Java, C++, and Go.

Designing systems at scale: microservices, API design, domain-driven design, and performance.

Cross-cutting technical competencies: data analysis, machine learning, security, and collaboration tools.

What computers can and cannot do: automata, computability, complexity, and cryptography.

Building for the browser: HTML/CSS, JavaScript, front-end frameworks, and full-stack development.