“计算机探索”(USC新通识课程)课程设计(仅摘要)

Saty Raghavachary
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引用次数: 0

摘要

从2016年秋季开始,南加州大学计算机系开始提供CS100:计算机探索,这是一门全新的通识教育(GE)课程。这门课程只对非计算机科学专业的学生开放(因为我们的计算机科学专业的学生要通过包含CS100材料的特定计算机科学入门课程)。这个班有24名学生,他们来自不同的学科,比如传播学、工商管理和戏剧艺术。本课程介绍了构成当今数字社会基础的计算/算法解决问题技术的广泛概述。它为学生提供了一个坚实的基础,让他们了解诸如网络搜索、通过社交媒体交流、玩游戏、预订乘车等日常活动是如何在“幕后”运作的。这门课程的目的是促进计算思维,就像Jeannette Wing和其他人提出的那样。在设计这门课程时,我们考虑了以下几个方面:这门课程是为非计算机科学观众设计的通用电气课程,所以它不会对编码有太多的要求;主题需要涉及某种形式的计算/算法方法;主题需要与学生使用他们的数字设备所做的事情有关。玩游戏、发即时消息、订购东西……);这些话题必须能吸引学生的注意力(记住,他们是伴随着平板电脑、网络、动画电影和电子游戏长大的)。为此,这些主题分为以下几个标题:媒体计算、娱乐数学、算法艺术、社交媒体和数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Curriculum Design for 'Explorations in Computing' (a New General Education Course at USC) (Abstract Only)
Starting Fall 2016, the CS department at USC has begun offering CS100: Explorations in Computing, a brand new General Education (GE) course. The course is only open to non-CS majors (since our CS students go through a CS-specific introductory track that encompasses the CS100 material). The class has 24 students, from a variety of disciplines such as Communications, Business Administration and Theatrical Arts. The course presents a broad overview of computational/algorithmic problem-solving techniques that form the basis of today's digital society. It provides students, a strong foundation for understanding how everyday activities such as web searching, communicating via social media, playing games, booking a ride, etc., work "behind the scenes". The course's intent is to promote computational thinking, as put forth by Jeannette Wing and others. In designing the course, the following aspects were kept in mind: the course is formulated as a GE, for a non-CS audience - so it cannot be heavy on coding; the topics need to involve some form of computational/algorithmic approach; the topics need to have a connection with things that students do with their digital devices (eg. play games, send instant messages, order things..); the topics have to grab the students' attention (keeping in mind that they grew up with tablets, the Web, animated movies and videogames). To that end, the topics are grouped under the following headings: Media Computing, Recreational Math, Algorithmic Art, Social Media and Data.
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