科技與工程學院

Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/5

沿革

科技與工程學院（原名為科技學院）於87學年度成立，其目標除致力於科技與工程教育師資培育外，亦積極培育與科技產業有關之工程及管理專業人才。學院成立之初在原有之工業教育學系、工業科技教育學系、圖文傳播學系等三系下，自91學年度增設「機電科技研究所」，該所於93學年度起設立學士班並更名為「機電科技學系」。本學院於93學年度亦增設「應用電子科技研究所」，並於96學年度合併工教系電機電子組成立「應用電子科技學系」。此外，「工業科技教育學系」於98學年度更名為「科技應用與人力資源發展學系」朝向培育科技產業之人力資源專才。之後，本院為配合本校轉型之規劃，增加學生於科技與工程產業職場的競爭，本院之「機電科技學系」與「應用電子科技學系」逐漸朝工程技術發展，兩系並於103學年度起分別更名為「機電工程學系」及「電機工程學系」。同年，本學院名稱亦由原「科技學院」更名為「科技與工程學院」。至此，本院發展之重點涵蓋教育（技職教育/科技教育/工程教育）、科技及工程等三大領域，並定位為以技術為本位之應用型學院。

107學年度，為配合本校轉型規劃，「光電科技研究所」由原隸屬於理學院改為隸屬本（科技與工程）學院，另增設2學程，分別為「車輛與能源工程學士學位學程」及「光電工程學士學位學程」。

News

學院網址：http://www.cot.ntnu.edu.tw/

Browse

Start date: 1990End date: 1999

Search Results

Now showing 1 - 10 of 1338
  • No Thumbnail Available
    Item
    臺灣省八十學年度高級中學工藝科學藝抽測競賽記實
    (國立臺灣師範大學科技應用與人力資源發展學系, 1992-05-??) 編輯室
  • No Thumbnail Available
    Item
    臺灣省高級中學八十一學年度工藝科學藝抽測競賽記實
    (國立臺灣師範大學科技應用與人力資源發展學系, 1993-05-??) 編輯室
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    技職體系課程一貫性問題探討--以機械力學課程為例
    (教育部技術及職業教育司, 1999-12-01) 屠名正; 張宏光
  • No Thumbnail Available
    Item
    運用蓋拉金積分法解非均質物體之彈性力場
    (逢甲大學, 1995-11-01) 李永明; 屠名正; 孫玉柱
    在以往研究非均質物體彈性力場的文獻中，基體大多是無限大的，本文則使用蓋拉金積分法，求解三維有限區域基體，含一個或多個球體、橢圓體雜物之非均質物體之彈性力場。本文所解問題之邊界條件為固定值之應變場，而冗長的數學運算則由數值程式配合 Mathematica 軟體來執行。本文也研究不同相介質的機械性質比，夾雜物之體積分率及長寬比等，對彈性力場整體與局部之影響。 經過詳細的分析，下列兩種效應非常顯著（ 1 ）在不同介質界面附近的彈性力場， 會因夾雜物存在而受到干擾，（ 2 ）在不同介質界面間，會有應力集中的現象。
  • No Thumbnail Available
    Item
    專題製作發想活動設計之研究
    (1999-01-01) 吳明雄; 葉榮木; 屠名正; 鍾協衡; 張宗憲
  • No Thumbnail Available
    Item
    On-Learning Neurocontrol of Nonlinear Systems
    (1994-12-01) Yeh, Zong-Mu
  • No Thumbnail Available
    Item
    A self-organizing decentralized fuzzy neural net controller
    (Institute of Electrical and Electronics Engineers (IEEE), 1995-03-20) Yeh, Zong-Mu; Chen, Hung-Pin
    This paper presents a self-organizing decentralized learning controller using fuzzy control and neurocontrol for large-scale nonlinear systems. A new online unsupervised learning method which is based on a performance index of sliding mode control is used to train the fuzzy neural net controller to obtain control actions. To overcome the interactions between the subsystems, a learning algorithm is adopted to modify the control input to improve the system performance. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.
  • No Thumbnail Available
    Item
    A Decentralized Learning controller for Nonlinear Systems
    (Institute of Electrical and Electronics Engineers (IEEE), 1994-12-05) Yeh, Zong-Mu; Hsu, How-Gao; Lien, Ching-Chieh
    This paper presents a decentralized learning controller for large-scale nonlinear systems. A new learning method which is based on a performance index of sliding mode control is used to derive an iterative learning algorithm to obtain control actions. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.
  • No Thumbnail Available
    Item
    A Decentralized fuzzy logic controller Design
    (Institute of Electrical and Electronics Engineers (IEEE), 1994-06-26) Yeh, Zong-Mu
    Presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.