ZD_3_12 — Software Engineering: Processes, Architecture, and Quality

Software engineering is the systematic application of engineering principles to the design, development, testing, deployment, and maintenance of software systems — addressing the fundamental challenge that software is am

ZD_5_09 — Open Source: Free Software, Collaborative Development, and Commons-Based Production

Open source software (OSS) is software whose source code is publicly available, can be freely used, modified, and redistributed under licenses that preserve these freedoms. Open source is one of the most consequential mo

ZD_5_06 — Knowledge Representation: Ontologies, Semantic Web, and Knowledge Graphs

Knowledge representation (KR) is the field of artificial intelligence concerned with how to formally encode information about the world — facts, relationships, concepts, rules, and constraints — in formats that computer

ZD_5_03 — Semiotics: Signs, Symbols, and Meaning Theory

Semiotics (also semiology) — the study of signs, symbols, and meaning-making processes — is a foundational discipline that bridges linguistics, philosophy, cultural studies, communication theory, visual arts, and informa

ZD_5_02 — Digital Preservation and the Longevity of Knowledge

Digital preservation — the set of policies, strategies, and actions required to ensure continued access to digital information over time — addresses one of the great paradoxes of the information age: humanity is producin

ZD_5_12 — Edge AI and TinyML: On-Device Machine Learning and Embedded Intelligence

Edge AI is the deployment of artificial intelligence algorithms on devices at the "edge" of the network — smartphones, embedded systems, cameras, sensors, wearables, industrial controllers, autonomous vehicles, and drone

ZD_5_10 — Information Retrieval: Search Engines, Ranking, and Vector Search

Information retrieval (IR) is the science of searching for information in a collection of documents, metadata, databases, or the World Wide Web — finding material (usually text documents) of an unstructured nature (usual

ZD_5_05 — Formal Methods: Mathematical Verification and Specification of Software

Formal methods are mathematically rigorous techniques for the specification, development, and verification of software and hardware systems — using formal (mathematical) languages to describe system behavior and mathemat

ZD_5_01 — Graph Theory and Algorithms

Graph theory — the mathematical study of graphs (networks of vertices/nodes connected by edges/links) — is one of the most widely applicable branches of mathematics, modeling everything from social networks and transport

ZD_5_07 — Search Algorithms: From Breadth-First to Monte Carlo Tree Search

Search algorithms are fundamental computational procedures for exploring state spaces, finding paths, locating solutions, and making decisions — they constitute one of the core pillars of computer science and artificial

ZD_5_00 — Digital Culture Tools: Subfolder Summary

ZD_4_13 — Network Science: Graph Theory, Small Worlds, and Scale-Free Networks

Network science is the study of complex systems represented as networks (graphs) — collections of nodes (vertices) connected by edges (links) — encompassing social networks (people connected by friendships, collaboration

ZD_4_06 — Mathematical Sociology and Network Analysis

Mathematical sociology applies formal mathematical models — graph theory, probability, game theory, dynamical systems, and statistical mechanics — to understand social structures, collective behavior, and institutional d

ZD_4_11 — Social Network Analysis — Granovetter, Small Worlds, Influence

Social network analysis (SNA) — the study of social structures through the use of graph theory and network science, where individuals (or organizations, nations, etc.) are represented as nodes and their relationships (fr

ZD_4_00 — Applied Interdisciplinary: Subfolder Summary

ZD_2_15 — Transformer Architecture: Self-Attention and the Foundation of Modern AI

The transformer is a neural network architecture introduced in 2017 that replaced recurrent and convolutional models as the dominant paradigm in artificial intelligence. Its core innovation — the self-attention mechanism

ZD_2_07 — Artificial General Intelligence — Architectures and Challenges

Artificial General Intelligence (AGI) — a hypothetical AI system capable of performing any intellectual task that a human can, with the same flexibility, generality, and ability to learn and transfer knowledge across dom

ZD_2_10 — Speech Recognition and Synthesis: From Acoustic Models to Neural Voice Generation

Speech recognition (Automatic Speech Recognition — ASR) and speech synthesis (Text-to-Speech — TTS) are complementary technologies that bridge human spoken language and machine processing. ASR converts spoken audio into

ZD_2_01 — Machine Learning Mathematics

Machine learning — the science of algorithms that improve through experience — rests on a rich mathematical foundation spanning optimization, statistics, linear algebra, probability, and functional analysis. The core mat

ZD_2_00 — AI Machine Learning: Subfolder Summary