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An exam that allowed students entry into CPSC 2230, “Data Systems and Programming Techniques,” without taking CPSC 2010, “Introduction to Computer Science,” will no longer be in use.
A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...
Introduction to Programming Systems An introduction to computer organization and system software. Developing skills for composing large programs, including modularity, abstraction, programming style, ...
Generally, they explore computer science fundamentals, including programming, web design, computer security and computing theory.
Professor Adam Cannon’s famed Introduction to Computer Science and Programming in Java (COMS W1004) is one of Columbia’s most well-known CS courses, but we all want to know what a course is really ...
However, non-experts are often intimidated to start programming and may struggle to see the numerous possibilities it may open up for their field of study. Using the poplar and easy-to-learn Python ...
An introduction to programming and problem solving with computers. Practical applications in a wide range of fields will be covered, and important topics in computer science will be discussed.
Topics covered in an associate-level computer science curriculum include commonly used programming languages, object-oriented programming, discrete structures and calculus.
Computer Science Learning Goals Goals for Majors in Computer Science Students majoring in computer science at Smith will gain a broad understanding of the core concepts of computing, as well as ...
Be on the leading edge of computer science. Develop the skills you need to be competitive in the field as a computer science major or minor at Luther College.
The Bachelor of Science in Computer Science and Engineering features a balanced core program in which each student studies the engineering aspects of software and hardware as well as the mathematical ...
Introduction to techniques of design and analysis of algorithms: asymptotic notations and running times of recursive algorithms. Design strategies: brute-force, divide and conquer, decrease and ...