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  1. 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.

  2. Interested in Computer Science, but you keep seeing terms unfamiliar to you? This A-to-Z glossary defines key Computer Science terms you need to know. Computer science professionals pursue a career focused on various aspects of computing technology and its applications.

  3. 8 mar 2022 · We also spiced up the list by including a wide variety of computer science courses that will hopefully cater to the diverse range of learners, whether you’re a true beginner or someone with some foundations in computer science, or an interest in specific topics like math.

  4. 22 mar 2024 · Computer science is the study of computer hardware and software. Those who study computer science, consequently, can specialize in a wide range of interrelated subfields, from artificial intelligence and cryptography to computer engineering and software development.

  5. 31 sty 2022 · The CSAVL is a list of academic words which occur frequently in the kind of textbooks and journal articles used by Computer Science (CS) undergraduates at university in the USA, and is intended to provide an efficient tool for CS students to reach a minimum comprehension threshold of 95%.

  6. Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.Programmers typically use high-level programming languages that are more easily intelligible to ...

  7. 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-

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