Overview
This shelf gathers MGU technology and computing textbooks into a single library index. The collection includes foundational computer science, data and information systems, Python programming, web development, data science, artificial intelligence, and machine learning mathematics.
These textbooks are built for structured learning rather than quick reference. They organize technical topics into chapters, examples, exercises, and conceptual progressions so students can build durable skill across the full technology pathway.
Collection Map
Use this map to move directly to a book. Each title below links to its corresponding folder.
Core Computing
These texts establish the conceptual base for computation, algorithms, software, hardware, networking, and security.
-
Computer Science Foundations
A computer science textbook covering algorithms, data, abstraction, programming concepts, hardware, software, networks, security, computation, and problem solving.
Data and Information Systems
These texts focus on data structures at the organizational level, including databases, records, transactions, and information architecture.
-
Data Databases and Information Systems
A data and information systems textbook covering data models, databases, SQL, information architecture, records, transactions, systems, and organizational data use.
Programming
These texts develop coding fluency, problem solving, and software construction skills.
-
Programming with Python
A Python programming textbook covering syntax, variables, control flow, functions, data structures, files, errors, modules, projects, and computational thinking.
Web Development
These texts support front-end development and accessible site construction.
-
Web Development HTML CSS and JavaScript
A web development textbook covering HTML structure, CSS styling, JavaScript behavior, accessibility, responsive design, site organization, and front-end development.
Data Science, AI, and Machine Learning
These texts connect statistics, modeling, computation, and intelligent systems into a modern analytical pathway.
-
Data Science Foundations
A data science textbook covering data collection, cleaning, visualization, probability, statistics, modeling, databases, computation, and responsible data analysis.
-
Artificial Intelligence Foundations
An artificial intelligence foundations textbook covering logic, search, representation, reasoning, machine learning, neural networks, ethics, and intelligent systems.
-
Machine Learning Mathematics
A machine learning mathematics textbook covering linear algebra, calculus, probability, optimization, loss functions, gradients, regression, classification, and model evaluation.