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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.
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.
Computer Science 228X is an introduction to data structures in C++. Both courses attempt to teach principles through extensive practice in programming. This document speci es the course's general objectives and gives an overview of what would be taught.
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-
This course introduces the principles of program design and the fundamentals of computation through functional evaluation. Intended Audience. CS 115 is intended for students who are familiar with the use of a computer (Web browsing, etc.) but who have no experience with programming. Related Courses. Prerequisites: None.
Lecture 2 Outline. Previous Lecture/Introduction. Complexity limits what we can build. Enforced modularity mitigates complexity. Modularity requires names (how else will modules communicate?). Naming in General. Examples of names: mit.edu, schedule.shtml, 617–253–0000, etc.
This book is a draft covering Computer Science II topics as presented in CSCE 156 (Computer Science II) at the University of Nebraska|Lincoln. This work is licensed under aCreative Commons Attribution-ShareAlike 4.0 International License i
