* 碩士論文的格式 (PART F)
* 口頭報告如何不同於書面技術文件報告？ (PART B)
* 助研究思考及寫作的背景音樂 (145)
* 介紹研究及工作經驗 (有效撰寫求職英文自傳) (線上聽力測驗) (3 of 3)
* 商用英文摘要撰寫 94 (上)
Academic publishing news 學術出版新聞
碩士論文的格式 (PART F)
口頭報告如何不同於書面技術文件報告？ (PART B)
Lisa Gerrard，1961年4月12日－）是澳洲女音樂家、女低音歌手、作曲家，懂得演奏揚琴、手風琴。她在1981－1996年是樂隊死亡之舞(Dead Can Dance)的成員。
As a statistician in the Sanitary and Health Care Center at Feng Chia University for two years and at the Industrial Technology Research Institute (ITRI) for the past six months, Harry has acquired much professional, hands-on knowledge of data analysis that has prepared him for a career in health-related research and knowledge management, on an international level. Collaborating with several companies on numerous projects, he has learned much about project management, leadership development and customer relations. During that period, he also audited courses in relevant areas, such as Financial Investment, Reliability Engineering and Human Relations. Harry’s ability to develop knowledge-related skills and then apply them to management in a technological setting would make him invaluable as an engineer at ABC Company.
商用英文摘要撰寫 94 (上)
* 簡介背景 (研究建構+研究問題)
簡介背景 (研究建構+研究問題) Both the increasing popularity of credit card use and growing number of Internet-based promotional activities in Taiwan have enabled banking institutions to acquire extensive customer data. In addition to helping banking institutions to execute customer management and service management efficiently, thoroughly analyzing such data can optimize marketing management practices. Corporate survival in the future hinges on the ability to know and treat customers well through analysis of pertinent data. However, differentiated marketing practices in Taiwan are insufficient, with conventional methods of ranking customers normally based on the bank account balance for each accounting period. This basis alone does not provide a complete customer profile, and seldom incorporates strategies that analyze the commercial transaction data of customers. 目標 Therefore, this work presents a novel customer ranking model, capable of analyzing the dynamic purchasing behavior of customers and identifying the potential ones who can generate bank revenues. Those behavioral results can be used to devise diverse promotional strategies or customize products or services according to consumer needs, thus achieving market differentiation and effective management of customer relations.