Phu Xuan University Library

Digital library

Textbooks, references and open learning resources.

Foundations of Computation

External

Foundations of Computation

Carol Critchlow & David J. Eck · Hobart and William Smith Colleges

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

CC BY-NC-SAComputer ScienceEngineering 0 views
Delftse Foundations of Computation

External

Delftse Foundations of Computation

Stefan Hugtenburg & Neil Yorke-Smith · Delft University of Technology

Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

CC BY-NC-SAComputer ScienceEngineering 0 views
CHEM 175 - General Chemistry I

External

CHEM 175 - General Chemistry I

Scott Van Bramer · Widener University

This is the first semester of chemistry for science, biomedical and chemical engineering, and pre-med programs. Topics include measurements, elements, atomic structure, molecular structure, chemical reactions, stoichiometry, acid-base reactions, equilibrium, and introductory kinetics. An understanding of how chemistry applies to living systems and the natural world, green chemistry and sustainable chemistry applications.

CC BYChemistry 0 views
Introduction to Engineering (Bechara)

External

Introduction to Engineering (Bechara)

LibreTexts

This interactive textbook is organized into three main modules. In the Units & Conversions module, students learn to use the International System of Units (SI), convert between different units of measurement, and dimensional analysis. The Excel module teaches students Excel for engineering calculations, data analysis, and visualization. Students will learn how to write basic programs and analyze data using MATLAB with interactive coding exercises and quizzes to help students master the material.

CC BY-NCIntroductory EngineeringEngineering 0 views
Introductory Statistics

External

Introductory Statistics

Barbara Illowsky & Susan Dean · De Anza College

This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

CC BYIntroductory StatisticsStatistics 0 views
Spreadsheet software for engineering: an applied guide

External

Spreadsheet software for engineering: an applied guide

Julio Terán & Phillip Chvosta · North Carolina State University

Spreadsheet Software for Engineering: An Applied Guide is a free, online textbook designed to provide engineering students with comprehensive, practical knowledge of spreadsheet applications in engineering contexts. The textbook was designed from the ground up to be interactive and engaging for the modern 21st century learner.

CC BY-NC-SAIntroductory EngineeringEngineering 0 views
Laboratory Manual - Computer Programming with Python, Multisim and TINA/4E

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Laboratory Manual - Computer Programming with Python, Multisim and TINA/4E

James M. Fiore · Mohawk Valley Community College

This laboratory manual is intended for use in an introductory computer programming course for electrical engineering technology students. It begins with a basic explanation of schematic capture and simulation tools and proceeds to the Python programming language.

Electrical EngineeringEngineering 0 views
Contemporary Biology

External

Contemporary Biology

Rachel Aptekar · Cosumnes River College

In the contents: 8.06: Cloning and Genetic Engineering

CC BY-NCBiology 0 views
Widener Chem 145 Fall 2022

External

Widener Chem 145 Fall 2022

Scott Van Bramer · Widener University

This is the first semester of a two-semester introductory chemistry sequence for science, engineering, and pre-med programs. Topics include elements, atomic structure, molecular structure, chemical reactions, stoichiometry, thermochemistry, gases, liquids, and solids.

Chemistry 0 views
Calculus-Based Physics

External

Calculus-Based Physics

Jeffrey W. Schnick · Saint Anselm College

Calculus-Based Physics is an introductory physics textbook designed for use in the two-semester introductory physics course typically taken by science and engineering students.

CC BY-SAUniversity PhysicsPhysics 0 views
Biology for an Informed World

External

Biology for an Informed World

Trevor Rivers · University of Kansas

In the contents: 1.01: What is different about this approach to Introductory Biology · 15.01: Cloning and Genetic Engineering

Biology 0 views
Concepts in Biology

External

Concepts in Biology

OpenStax · LibreTexts

In the contents: 10.01: Cloning and Genetic Engineering

CC BYIntroductory and General BiologyBiology 0 views
Principles of Biology

External

Principles of Biology

LibreTexts

In the contents: 20.03: Genetic Engineering

CC BYIntroductory and General BiologyBiology 0 views
Java, Java, Java - Object-Oriented Programming

External

Java, Java, Java - Object-Oriented Programming

Ralph Morelli & Ralph Wade · Trinity College

We have designed this third edition of Java, Java, Java to be suitable for a typical Introduction to Computer Science (CS1) course or for a slightly more advanced Java as a Second Language course. This edition retains the “objects first” approach to programming and problem solving that was characteristic of the first two editions. Throughout the text we emphasize careful coverage of Java language features, introductory programming concepts, and object-oriented design principles.

CC BYComputer ScienceEngineering 0 views
Operational Amplifiers & Linear Integrated Circuits

External

Operational Amplifiers & Linear Integrated Circuits

James M. Fiore · Mohawk Valley Community College

In the contents: 01: Introductory Concepts and Fundamentals

CC BY-NC-SAElectrical EngineeringEngineering 0 views
Introduction to Organic and Biochemistry

External

Introduction to Organic and Biochemistry

Muhammad Arif Malik · Hampton University

In the contents: 8.08: Genetic engineering

CC0 / Public domainIntroductory ChemistryChemistry 0 views
Introductory Statistics 2e (OpenStax)

External

Introductory Statistics 2e (OpenStax)

LibreTexts

This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

Introductory StatisticsStatistics 0 views
General Biology

External

General Biology

Boundless · LibreTexts

In the contents: 17.1E: Genetic Engineering

CC BY-SAIntroductory and General BiologyBiology 0 views
Our Human Story: An Introduction to Biological Anthropology

External

Our Human Story: An Introduction to Biological Anthropology

Rachel Mitchell · Gavilan College

In the contents: 4.07: Genetic Testing and Genetic Engineering

CC BY-NCSocial Sciences 0 views
The Crystal Ball - Instruction Manual I: Introduction to Data Science

External

The Crystal Ball - Instruction Manual I: Introduction to Data Science

Stephen Davies · University of Mary Washington

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks.

CC BY-SAData ScienceEngineering 0 views