This course introduces students to concepts of problem solving using constructs of logic inherent in computer programming languages. Students study the nature of problems, common solution approaches and analysis techniques. Students use a flowchart interpreter to diagram problem solutions. Students learn the basics of computer programming by learning Python 2.7. Both Python scripts and flowcharts enable students to construct solutions to common algorithmic problems. The major emphasis is on teaching the student to identify solutions to a problem and translate them into various forms that will enable the computer to perform some of the steps in a solution of an actual problem instance. These forms include flowcharting tool, viewing generated software code and the basics of debugging the code.
This course combines two composition courses: ENG92W and ENG1101. Skills addressed include critical reading, summarizing, paraphrasing, paragraph and essay structure, methods for integrating outside sources, approaches to effective research, and fundamentals of MLA format. By learning to read as writers and to write as readers, we will hone skills to effectively translate thoughts and opinions onto the page.
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The Computer Systems Technology (CST) Colloquium is dedicated to providing the students, staff, and faculty of New York City College of Technology, the City University of New York, and the greater public with access to information regarding the latest developments in computing from both a research and industrial perspective. We strive to schedule speakers that have a prominent influence in the computing field and that can engage our audience to have a deeper understanding and passion for computers, software engineering, programming languages, networks, and other topics.
