教師如何幫助研究生準備從事學術界之外工作 (研究生英文編修出版投稿日報) 11/11/2015

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研究生英文編修出版投稿日報:
* 教師如何幫助研究生準備從事學術界之外工作
* 學術英文投稿教學影片(653) Planning a Research Project Part 2
* 動詞代替名詞 (精確英文寫作) (英文編修訓練) (5 / 10 )
* Viết tiếng Anh học thuật Bảng tin hàng ngàym
* 非正式工程英文技術報告 (126) (上)
Academic publishing news 學術英文編修出版新聞

教師如何幫助研究生準備從事學術界之外工作

教師準備他們的研究生從事學術界之外工作應回答下列問題:

* 你如何培養研究生從事學術界之外的工作?

* 你認為培養研究生從事學術界之外的工作是你的工作之一嗎?

* 有關研究生從事學術界之外的工作,你的大學是否提供課程,研討會或會談?

* 你如何由非學術觀點鼓勵研究生學習技能?

* 你如何幫助學生看到自己的學術技能和其他技能之間的連接?

Source: Preparing Grad Students for Careers Outside of Academia(chronicle)

學術英文投稿教學影片(653) Planning a Research Project Part 2
觀看本學術英文投稿教學影片以加強英文寫作投稿能力
動詞代替名詞 (精確英文寫作) (英文編修訓練) (5 / 10 )

句子冗贅的原因也可能是使用太多的名詞,通常這些名詞是由動詞轉化來的,而結果是使動詞更無力,此部份會在第四單元詳論。此外,過份的濫用名詞也帶來了多餘的介係詞。

請把練習題列印出來再以紅筆用標準編修註記修改:

6. Identification and assessment of several models is possible.

7. Promulgation and verification of the accreditation standards is impossible.

8. This cycle is continued with until fluctuation of the selected model stops.

9. An evaluation of their adequacy can be made with the proposed scheme.

10. Reduction of the task complexity is achieved by application of the nonparametric technique to industrial settings.

Answer

科技英文編修訓練手冊 柯泰德

Viết tiếng Anh học thuật Bảng tin hàng ngàym

* Nhấn mạnh lợi thế của kiến thức chuyên ngành đối với công việc tương lai (phần 2) (Kỹ năng viết đơn xin việc) (Mô tả nền tảng học vấn và thành tích có liên quan đến việc làm)

* Video giảng dạy viết bài báo tiếng Anh (286): Academic Style: Stylish Academic Writing

* Tổ chức lớp viết báo khoa học Kỹ thuật đăng trên tạp chí quốc tế (71) (phần 2)

* Thực hiện (Ví dụ: Electrical Engineeering)

非正式工程英文技術報告 (126) (上)

強有力的工程英文技術報告包括以下要素:

* 簡要的描述工程方案所關心的事項 。經由一個句子描述工程機構對影響目標工程或客戶有關事項的關心程度。

* 闡明特定部門或客戶所關心的工程環境:管理問題形成的工程環境背景描述。

* 介紹工程問題:工程問題的本質和對與其相關的特定部門或客戶的負面影響。

* 介紹工程方案的目標:工程機構對以上問題最合理的回應

* 工程方案方法論的細節描述:精確的方案步驟描述。

* 工程方案主要成果總結:工程方案對特定部門或客戶立即的利益。

* 工程方案對特定部門或領域的全面貢獻:研究結果和所提方法對工程機構以外更廣大讀者的牽涉。

強有力的工程英文技術報告包括以下要素:

簡要的描述工程方案所關心的事項 Our group has thoroughly explored the increasing incidence of manufacturing systems that have a complex design with multiple quality characteristics based on various customer requirements 闡明特定部門或客戶所關心的工程環境 The Taguchi method is extensively adopted to enhance manufacturing procedures and product quality. As an efficient robust design approach, the Taguchi method significantly enhances process performance and reduces both process development time and manufacturing costs. Additionally, the Taguchi method uses parameter design to determine a robust factor-level combination that can intervene in noise factors. Noise factors produce product/process variances, making such factors extremely difficult or costly to control. Moreover, experiments allocating Taguchi’s orthogonal array can reduce the quantity of experiments to lower experimental costs. The Taguchi method has subsequently been adopted in numerous industrial-related fields. 介紹管理問題 In most design instances, increasing variation in customer requirements accompanies complex product design. Although adopted in various industries to continuously enhance product design in response to customer requirements, the conventionally adopted Taguchi method only can optimize single quality characteristic design. As product/process design tends to be rather complex to comply with constantly changing customer requirements and production technology, the quality improvement of the conventional Taguchi method gradually declines. The Taguchi method applies a signal-to-noise (SN) ratio as a quality performance measure. According to the SN ratio calculated from experimental observations, an optimal factor-level combination can be obtained by selecting the factor-level with a maximum SN ratio. However, utilizing the SN ratio as a quality performance measure in the optimization procedure may yield an erroneous analysis. Furthermore, the elevated degree of SN ratio for the optimal factor-level combination deteriorates when a complex relationship exists between control factors and quality characteristics. Manufacturers are especially concerned with optimizing a system’s quality to enhance product competitiveness in the market place. Most recent manufacturing systems have a complex design with multiple quality characteristics based on various customer requirements. Accordingly, multiple quality characteristics must be evaluated simultaneously to determine an optimal factor-level combination for a system. The inability to efficiently optimize a complex system with multiple quality characteristics limits applications of the conventional Taguchi method.

有效撰寫英文工作提案 柯泰德

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