1.	學期作業、考試、評量
<br>midterm exam20%, homework 30%, final 50% (Demo 10%, presentation30% and report10%)
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<br>2.	教學方法及教學相關配合事項(如助教、網站或圖書及資料庫等)
<br>Reference book:
<br>"Optics," Hecht (Addison Wesley , 1990) 
<br>Photonic Crystals: Molding the Flow of Light ,” J. D. Joannopoulos, R. D. Meade, 
<br>J. N. Winn (Princeton University Press, 1995)
<br>S. Maier, Plasmonics: Fundamentals and Applications, Springer (2007)
<br>S. Maier, Plasmonics: Fundamentals and Applications, Springer (2007)
<br>Principles of Nano-Optics,” Lukas Novotny and Bert Hecht, Cambridge, 2006
<br>Surface plasmons on smooth and rough surfaces and on gratings,” Raether (Springer-
<br>Verlag, New York, 1986)
<br>W. Cai and V. Shalaev, Optical me<x>tamaterials: Fundamentals and Applications, 
<br>Springer, 2009
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<br>每週進度表
<br>週次	課程進度、內容、主題
<br>1	Introduction
<br>2	Dispersion in Materials
<br>3	Optical Properties of Bulk and Nano
<br>4	Light Interaction with Small Structures
<br>5	Introduction of Photonic crystal
<br>6	Mathematical Background
<br>7	Super-lens and Super-prism effects
<br>8	Photonic crystal fibers
<br>9	Midterm
<br>10	me<x>tal Optics: An Introduction
<br>11	Surface Plasmon Excitation
<br>12	Guiding Light Along Nanoparticle Arrays
<br>13	Plasmonic Nanostructures in Sensing Molecules
<br>14	Near-field Optics
<br>15	Optical me<x>tamaterials
<br>16	Transformation Optics
<br>17	Group Project Report
<br>18	Final
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<br>生成式人工智慧倫理聲明 「有條件開放，請註明如何使用生成式AI於課程產出」
<br>
<br>基於透明與負責任的原則，本課程鼓勵學生利用AI進行協作或互學，以提升本門課產出品質。根據本校
<br>公布之「大學教育場域AI協作、共學與素養培養指引」，本門課程採取有條件開放，以下說明如何使用
<br>生成式AI於課程產出
<br>
<br>學生須於課堂作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議題發
<br>想、文句潤飾或結構參考等使用方式。若經查核使用卻無在作業或報告中標明，教師、學校或相關單位
<br>有權重新針對作業或報告重新評分或不予計分。
<br>本門課授課教材或學習資料若有引用自生成式AI，教師也將在投影片或口頭標注。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明。