We have developed a course in scientific and statistical programming consisting of an introduction to computer programming and data analysis concepts using a variety of software packages. This approach addresses the problems inherent in introducing programming to non-computer science majors, particularly those in engineering, the sciences, and the social sciences where computing and statistical data analysis techniques are essential professional tools, as well as to computer science majors with minimal or nonexistent programming backgrounds.
rnKey programming concepts are introduced, including variables and identifiers, absolute versus relative addresses, assignment statements, IF/THEN/ELSE statements, nested and compound IF statements, truth tables, precedence of operations, use of built-in and user-defined functions, dummy variables, passing by value and reference, the importance of order in specifying input to functions, modular program design, subprograms, debugging and testing techniques, properties of good programs, and iterative loops. Elementary statistical concepts and data analyses are covered within a computing environment context that emphasizes data analysis and interpretation of results.
rnAssignments and examples are developed in collaboration with the students' major departments to insure relevance and interest to the students.
我们开发了科学和统计编程课程,其中包括使用各种软件包的计算机编程和数据分析概念的简介。这种方法解决了向非计算机科学专业的人引入编程所固有的问题,特别是那些将计算和统计数据分析技术作为必不可少的专业工具的工程,科学和社会科学领域的人,以及那些对计算机科学专业的要求最低或最低的工程师 P> rn
介绍了关键的编程概念,包括变量和标识符,绝对和相对地址,赋值语句,IF / THEN / ELSE语句,嵌套和复合IF语句,真值表,操作优先级,使用内置和用户定义的函数,伪变量,按值和引用传递,在指定函数输入的顺序中的重要性,模块化程序设计,子程序,调试和测试技术,良好程序的属性以及迭代循环。基本的统计概念和数据分析涵盖在强调数据分析和结果解释的计算环境中。 P> rn
与学生的主要系合作开发作业和示例,以确保与学生的相关性和兴趣学生。 P>
Department of Mathematics and Computer Science, Drexel University, Philadelphia, PA;
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