ZD_3_01 — Database Theory and Relational Model

Database theory provides the mathematical foundations for organizing, storing, querying, and managing structured data — one of the most practically consequential branches of computer science. Before the relational model,

ZD_3_14 — Memory and Storage Systems: From RAM to Distributed Databases

Memory and storage systems form the foundation of all computing — providing the physical mechanisms for storing and retrieving data, from the fastest, most expensive registers and caches that serve the processor's immedi

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_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_4_08 — Bioinformatics and Computational Biology

Bioinformatics — the application of computational methods to biological data, especially molecular sequences — has become indispensable to modern biology. The field emerged from the convergence of molecular biology's dat

ZD_4_02 — Game Theory, Strategic Interaction, and Cooperation

Game theory is the mathematical study of strategic interaction among rational agents, founded by John von Neumann and Oskar Morgenstern's Theory of Games and Economic Behavior (1944) and revolutionized by John Nash's equ

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_2_05 — Robotics and Control Theory

Robotics integrates mechanical engineering, electrical engineering, computer science, and control theory to design, build, and program machines that sense, reason, and act in the physical world. Control theory — the math

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_12 — Generative AI: Large Language Models, Diffusion, and the Transformer Revolution

Generative AI refers to artificial intelligence systems capable of creating new content — text, images, audio, video, code, 3D models — that is novel, coherent, and often indistinguishable from human-created work. The fi

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_14 — Autonomous Systems: Self-Driving Vehicles, Drones, and Safety-Critical AI

Autonomous systems are machines capable of performing complex tasks in unstructured, dynamic environments with limited or no human intervention — perceiving their environment through sensors, making decisions through com

ZD_2_13 — Explainable AI: Interpretability, Trust, and the Black Box Problem

Explainable AI (XAI) is the field concerned with making artificial intelligence systems — particularly complex machine learning models — understandable to humans. As AI systems increasingly make or influence high-stakes

ZD_2_11 — Reinforcement Learning: Agents, Rewards, and Sequential Decision-Making

Reinforcement learning (RL) is a paradigm of machine learning in which an agent learns to make sequential decisions by interacting with an environment, receiving rewards (or penalties) for its actions, and adjusting its

L_3_03 — Lactase Persistence and Gene-Culture Coevolution

Lactase persistence — the ability of adults to digest the milk sugar lactose — is the most thoroughly documented case of gene-culture coevolution in the human species. The ancestral mammalian condition is lactase non-per

Y_2_05 — Near-Death Experiences: Cross-Cultural Analysis

Near-death experiences (NDEs) — profound subjective experiences occurring during clinical death, cardiac arrest, or perceived proximity to death — have been reported across virtually all cultures and historical periods.

Y_2_03 — Reincarnation Research — Stevenson, Tucker, Past-Life Memories

Reincarnation research — the systematic, empirical investigation of claims that individuals (typically young children) possess verified memories of previous lives — represents one of the most methodologically rigorous pr

Y_2_00 — NDEs Death Consciousness: Subfolder Summary