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  1. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

  2. 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.

  3. Computer science requires an understanding of the fundamental concepts of computational thinking as well as knowledge of how computers and other digital devices operate. The Diploma Programme computer science course is engaging, accessible, inspiring and rigorous.

  4. The specific teaching mission of Department of Computer Science upholds this view. It is: 1. to teach computing as a coherent science, with due emphasis on its mathematical foundations; 2. to teach information technology as an engineering discipline with its over-

  5. This textbook covers the traditional introductory Computer Science I topics but takes a unique approach. Topics are covered in a language-agnostic manner in the first part with supplemental parts that cover the same concepts in a specific language. The current version covers C, Java, and PHP.

  6. This course, Introduction to Computer Science, introduces you to how computer scientists think in a systematic way about computing.

  7. cse.unl.edu › ~cbourke › ComputerScienceOneComputer Science One

    for multiple courses or the book could be extended by adding another part for a new language with minimal e ort. Another inspiration for the structure of this book is the Computer Science I Honors course that I developed. Usually Computer Science majors take CS1 using Java as the primary language while CE students take CS1 using C.

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