Department of Economics Computer Center

目的为经济学专业的少数民族学生提供常规使用计算机完成作业的机会。为需要输入数据、使用先进的统计方法和量化模型的经济学专业学生提供计算机实验室。为非工程或理科专业的学生--例如建筑和人文专业的学生--提供选修经济学的机会，让他们使用计算机应用程序。为正在开发的电信本科课程提供计算机支持；该课程将主要由经济学、计算机科学、电气工程和管理课程提供支持。使用方法将在CCNY北方学术中心经济系办公室附近建立一个专用的计算机设施。它最初的配置是一次至少容纳18名学生，并且是一个高度安全和有监督的空间。设施内的一个单独的安全房间将存放文件服务器计算机。国家科学基金和配套资金将用于购买下列设备：一台配备大容量打印机的文件服务器计算机；18台终端；以及通过局域网联网和接入因特网所需的硬件和软件。对促进教育的意义拟议的个人计算机实验室将提高现有经济学课程的质量，这些课程包括教授和使用：经济和管理建模，包括预测和模拟；应用统计学；经验数据分析；以及假设(情景)分析。它还将使新课程的引入重点放在经验应用和实验上。文献检索和论文数据收集也将大大便利。最重要的是，这些能力将提供给相当大的少数族裔学生。

OBJECTIVES To provide the opportunity for minority students in economics to routinely use computers for their assignments. To provide a computer laboratory for economics majors who need to import data and use advanced statistical methods and quantitative models. To provide the opportunity for non-engineering or science majors_e.g., architecture and humanities students_taking electives in economics to use computer applications. To provide computer support for an undergraduate program being developed in Telecommunications; which will be supported mainly by Economics, Computer Science, Electrical Engineering, and Management courses. METHODS TO BE EMPLOYED A dedicated computer facility will be established in proximity to the Department of Economics office in CCNY's North Academic Center. This will initially be furnished to accommodate at least 18 students at a time, and be a highly secured and supervised spaced. A separate secured room within the facility will house the file server computer. The NSF and matching funds will be used to purchase the following: One file server computer with a high capacity printer; eighteen terminals; and the required hardware and software for networking through a LAN and accessing the Internet. SIGNIFICANCE TO ADVANCEMENT OF EDUCATION The proposed PC lab will enhance the quality of existing economics courses that involve the teaching and use of: economic and managerial modeling, including forecasting and simulation; applied statistics; empirical data analysis; and what-if (scenario) analyses. It will also enable the introduction of new courses heavily focused on empirical application and experimentation. Literature searches and data gathering for papers will also be greatly facilitated. Most importantly, these capabilities will be available to a sizable population of minority students.