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*表現傑出者發給每月一至三萬元獎助學金
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人工智慧工程應用領域（簡稱AI領域）成立乃因應AI技術於工程各領域日漸增加的AI應用需求，培養具備AI技術及能與各領域結合的跨領域人才。AI領域著重於進行世界級的學術研究，透過招募具潛力的青年學者及提供完備先進的軟硬體設備，積極與學術單位及業界進行合作，藉由理論與實作並重的課程，培育具競爭力、責任感及傑出專業能力的AI跨領域人才，並期許青年學子成為工程領域中AI技術研發的世界級領導者。
Artificial Intelligence (AI) for Engineering Applications Division was established to meet the growing demand for cultivating next-generation AI leaders with deep engineering domain knowledge. The Division is equipped with the state-of-the-art hardware and software and focuses on world-class cutting-edge research. We collaborate extensively with academic institutes and industry partners domestically and internationally. Our integrated theoretical and practical curriculum will cultivate competitive, responsible and interdisciplinary professionals and advance the field of AI for Engineering Applications.
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畢業生未來發展
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主要進修領域
本所畢業生未來進修領域除可進入土木相關領域擔任博士後進行相關研究深造，更可進行進入其他領域利用已有的AI相關能力進行各項跨領域合作。 就業管道 本所畢業學生適在各種產業之AI工程應用領域，尤以人工智慧、大數據、機器學習、深度學習等之研發應用為主。如土木相關、高科技製造業等相關產業之AI應用工程師、專業領域應用工程師、資料工程師、AI與資料科學家與AI專案經理等。 相關專業證照資格 Google Professional Data Engineer Certification TensorFlow Developer Certificate Microsoft Certified: Azure Data Scientist Associate IBM Data Science Professional Certificate Cloudera Certified Professional (CCP) Data Engineer SAS Certified AI & Machine Learning Professional 土木工程技師、結構工程技師、建築技師、大地工程技師、水利工程技師、水土保持師、交通工程技師、測量技師、環境工程技師、都市計劃技師、冷凍空調工程師、工業安全技師、工業衛生技師、礦業安全技師等 |
Further studies
Graduates can pursue further studies not only in Civil Engineering related fields but also interdisciplinary fields utilizing AI-related capabilities. Career options Graduates can find career opportunities in industries that would like to utilize Artificial Intelligence to strengthen their competition, especially in Research and Development for big data, machine learning, and deep learning. Qualifications Google Professional Data Engineer Certification TensorFlow Developer Certificate Microsoft Certified: Azure Data Scientist Associate IBM Data Science Professional Certificate Cloudera Certified Professional (CCP) Data Engineer SAS Certified AI & Machine Learning Professional Civil engineer, structural engineer, architect, geotechnical engineer, hydraulic engineer, environmental engineer, traffic engineer, survey engineer urban, planning engineer, refrigeration air-conditioning engineer, industrial safety engineer, industrial hygiene engineer, mining safety engineer. |
