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Our primary goal is to provide an answer to such questions by developing a common introductory course in computer science for all students in science and engineering (including prospective computer science majors) that is analogous to commonly-accepted introductory courses in mathematics, physics, biology, and chemistry.
A draft textbook for an introductory Computer Science course that covers concepts and pseudocode before diving into specific languages. The book is free, open, and available for feedback and comment.
Learn the basics of computer science, programming languages, algorithms and problem solving in this course. The web page provides a PDF document with the chapter 1 notes and examples of Processing code.
A PDF file with slides and notes for the CS 111 course at Boston University, covering topics such as functional, imperative, and object-oriented programming, digital logic, and CS theory. The file also includes information on course materials, software, and peer instruction.
This is a PDF file of notes for a course on computer science at the University of Minnesota-Twin Cities. It covers topics such as algorithms, pseudocode, data types, and programming languages.
A textbook that covers the traditional introductory Computer Science I topics in a language-agnostic manner, with supplemental parts for C, Java, and PHP. The book is written by Dr. Chris Bourke, a professor at the University of Nebraska-Lincoln, and is available in PDF and LaTeX formats.
A broad and robust understanding of computer science and programming. How to think algorithmically and solve programming problems efficiently. Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.
