The Department was established in 1955 as the Department of Industrial and Business Management (IBM) at the Taiwan Provincial College of Engineering, which had then become the Taiwan Provincial Cheng Kung University in 1956. The College of Business was founded later in the same year. The Department of IBM has belonged to the College of Business since then.
In the initial stage, the courses offered by the Department were strongly related to a standard curriculum of mechanical engineering. For meeting the educational requirements, in 1965 the Department was subdivided into the Industrial Management Division and the Business Administration Division. The Industrial Management Division focused on the knowledge of mechanical engineering and quantitative management, whereas the Business Administration Division initiated additional courses focused on the strengths of qualitative management.
In August 1971, the University was renamed as the National Cheng Kung University. One year later, the original two divisions were further separated and became the Business Administration Department and the Industrial Management Department, respectively. The Industrial Management Department started its undergraduate program in 1973 and then was renamed as the Industrial Management Science Department after one year. As the objective of the Department was to provide managerial personnel with engineering skills, students enrolled should possess good understanding of mathematics and science. Accordingly, the Department has been listed in the Natural Science Section in the Joint Entrance Examination of Universities since 1974.
A doctoral program was eventually initiated in 1991, followed by a master’s degree program specifically designed for working professionals one decade later. To help meet the increasing demands placing on it, the Department was expended to attract teachers and researchers in information management and promote the collaboration between its original strengths. Correspondingly, the Department was renamed as the Department of Industrial and Information Management in 2003.
The course is designed for those students who are interested in how to maintain a DBMS. The course starts from glancing database design and analysis which should be taught in undergraduate. After that, the DBMS internal tasks will be introduced, including storage and indexing, query evaluation, transaction management, and physical database design and tuning. The early stage of this course will introduce the schema design by running through a case study. The later stage will introduce how to maintain the database. The loading for students includes two mid-term exams, course representation, and final examination.
Business intelligence has been recognized as a successful enabling technology to support business managers better business decision making and get valuable insights. BI analyzes and applies historical and current data of organizations and transforms them to information, knowledge, decisions and finally actions. This course will provide an understanding of the theory and applications of the use of leading-edge BI and DSS technologies and processes used in transforming organizational data to knowledge, decision, and value and in managing business performance
Data mining is a technique for retrieving information from data. The information will be useful in achieving some specific purpose.
This course is conducted with an emphasis on the use of management strategies for conducting business in the networked organizational environment. The selected areas of electronic commerce will be introduced in this course from both theoretical and practical perspectives.
By understanding the importance of information ethics (IE), the students will review three kinds of IE research agendas and discuss how they are done. One is the research on social aspects; the other is on group differences. The last one is on the technology effects. Then, the students will review some cases to explore how the issues of IE are raised and what present studies have conducted for the cases. Finally, it is expected that the students are able to develop a research agenda pertinent to IE.
“Business model” is a buzz word in the e-era. Since the impact of the Internet on industries has been phenomenal, today every business are either becoming part of the new economy or perishing amid competitive forces. For those managers that are in charge of business strategy, they certainly need to address the impact of the Internet on business models and firms performance. This course is designed to enhance the knowledge and competency for the students to fit in the e-business world
Knowledge engineering plays a key role in a variety of MIS fields, ranging from decision support systems, to expert systems, to data mining, to business intelligence, to knowledgement management, and others. The goal of this course is to provide the theory and applications of knowledge engineering with an emphasis on the emerging soft computing technology such as fuzzy logic, neural networks and evolution computing.
This class deals with the domain of knowledge management, which is also known as business intelligence in “New-Economy Era”. During this class, knowledge management related information will be delivered from different aspects. In addition, selection of case studies and activities will be included as well to elaborate the content of this class. Students are expected to have a global understanding of knowledge management after this class.
This course is designed to help students apply, interpret and evaluate multivariate statistical techniques. The course is structured to further develop skills in the use of wide range of multivariate techniques through both a better understanding of the statistical properties of the methods as well as their direct application to relevant questions. There will be an equal emphasis on both conceptual understanding and the development of practical application skills.
The course is designed for those students who are preparing to contribute themselves in constructing network and server management in the future. It covers the domain knowledge of servers’ functions, comparisons of servers, and how to build those servers.There are two main kinds of Network Operation Systems, one simulator and one device will be used in this course.1.
The goal of this course is to provide an in depth understanding of security issues in modern computer communication systems and e-commerce web sites. By studying fundamental cryptography theories and case studies, students will acquire the knowledge and abilities to apply learned security technologies. In addition to the textbook, selected papers from top IEEE/ACM conferences and journals will also be used to help understand the emerging issues in e-commerce and cloud security.
This course is designed to help students to understand the theoretical background of structural equation modeling and to apply the methods to analyze real cases. Therefore, there will be an equal emphasis on both conceptual understanding and the development of practical application skills.