the course include ebeam technology study and training
1.training on sem:
utilize sem to observe the nano-structure on the surface. the acceleration voltage is from 500v to 30kv.
2.training on e-beam lithography:
utilize e-beam lithography to fabricate the nano-structure. the acceleration voltages are 50kv and 100kv.
3.training on dual beam focus ion beam:
utilize dual beam focus ion beam to etch the sample and observe it by electron beam at the same time. furthermore, it include the deposition system, low temperature and fabricate the sample for tem.
4. study the parameters of e-beam lithography on different substrates and the issues of following semiconductor process.
5. study the applications of e-beam lithography in different research areas, including electronics, photonics, optoelectronics, biomedical electronics, and micro mechanical systems.
6. focus on the discussion of students’ research topics under their original advisors.
7. for the specical topic, discuss the related information and invite famous international scholars to give speeches and advices.

.微分方程(一)的進階課程，探討更一般化的微分方程和偏微分方程的解法以及傅立葉轉換

本課程分為幾個部分：
(1) 數位濾波器設器 (含 iir, fir, wiener，信號還原技術)
(2) 同質訊號系統(含倒頻譜，梅爾倒頻譜)
(3) 聲音信號處理
(4) 壓縮的技術 (含壓縮的通則，編碼技巧)
(5) 快速演算法的設計 (含快速演算法的通則，質因數的快速傅立葉轉換)
(6) 正交轉換 (含瓦爾西轉換，數論轉換，cdma)
(7) 其他 (如結構相似度，頻譜分析的正確方法，影像和信號處理常識)

1. data storage
2. data manipulation
3. operating systems
4. networks and internet
5. programming languages
6. data and file structures
7. database structures
8. artificial intelligence
9. computer graphics

一、內容
ch 1 basic concepts (1.3)
ch 2 resistive circuits (2.2, 2.7)
ch 3 nodal and loop analysis techniques (3.1, 3.2)
ch 5 additional analysis techniques (5.1, 5.2, 5.3, 5.4, 5.5)
ch 7 first- and second-order transient circuits (7.1, 7.2, 7.3)(參酌介紹部份6.1, 6.2, 6.3 內容,但不列入考試範圍)
ch 8 ac steady-state analysis (8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8)
ch 9 steady-state power analysis (9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7)
ch 12 variable frequency network performance (12.1, 12.2, 12.3, 12.5)
ch 13 the laplace transform (13.1, 13.2, 13.3, 13.4, 13.5, 13.7, 13.8)
ch 14 application of the laplace transform to circuit analysis (14.1, 14.2, 14.3 , 14.4 , 14.5)
ch 4 operational amplifiers (4.3)

二、成績評量方式:平時考（四次取三次）: 60% 期末考: 40%

1. introduction to wireless communication technology
2. advances in mobile wireless communication devices
3. modulation, transmitter and receiver
4. lumped and distributed passive components
5. low-noise amplifier
6. power amplifier
7. oscillator and mixer

this course aims to introduce some theoretical foundations of machine learning. the course is roughly divided into two parts: (1) the statistical principles and (2) the algorithmic principles. for the former, we will focus on statistical aspects of learning theory, where the main themes are what can be learned and how well a machine can learn from a finite number of training samples. for the latter, we focus on algorithmic aspects of learning theory, where the main theme is how fast a machine can learn with theoretical performance guarantees.

本課程以英語授課。上課時間:週二及週四早上10:30~12:00總人數限 60人

[電學、相對論]、[磁學、電磁學、光學、近代物理]

電機系以外學生需經老師同意.兼通識A7*.總人數限 70人限學號末二位被３整除

透過實驗物理學的訓練，培養科學方法的基礎能力，包含：
實驗態度養成、儀器操作技能、課程相關的科學內容、數據解讀與分析、實驗報告撰寫等。

電機系限修普物甲上12班者。上課教室請見二號館電視佈告欄。總人數限 70人限本系所學生(含輔系、雙修生)且限學號末二位被３整除

1. introduction

history, vlsi design flow, etc.

2. basics of computation theory and mathematical optimization
3. models of computation

finite state machine, finite automata, kahn process network, petri net, neural network, etc.

4. high-level synthesis

design space exploration, resource sharing, etc.

5. logic synthesis

technology independent optimization, technology mapping, technology dependent optimization, timing and power analysis, etc.

6. verification

combinational and sequential equivalence checking, property checking, etc.

7. physical design

floorplanning, placement, routing, etc.

8. testing

combinational and sequential atpg, design for test, etc.

9. simulation

numerical techniques, device modeling, switch-level and logic-level simulation, etc.

the study of algorithms is at the heart of computer science. this course focuses on fundamental results in this area, including the unifying principles and underlying concepts of algorithm design and analysis.
we expect everyone to be comfortable reading, even writing, proofs. several programming assignments will be given to embody the ideas. moreover, we hope that everyone can learn general problem-solving techniques.
intended audience:
1. who are interested in computer science
2. who are computing something
3. who are learning problem-solving techniques

表面電漿子來自電磁輻射與自由電子的交互作用，它發生在金屬/介質交界面或在金屬奈米結構中，並伴隨著次波長尺度內極大的光學近場。它在奈米光電、生物檢測科技上十分重要。本課程擬介紹表面電漿子之基本原理與最新應用。課程內容如下：
1. electromagnetics of metals
2. surface plasmon polaritons at metal / insulator interfaces
3. excitation of surface plasmon polaritons at planar interfaces
4. imaging surface plasmon polariton propagation
5. localized surface plasmons
6. electromagnetic surface modes at low frequencies
7. plasmon waveguides
8. transmission of radiation through apertures and films
9. spectroscopy and sensing
10. metamaterials and imaging with surface plasmon polaritons

教科書: stefan a. maier, plasmonics: fundamentals and applications, springer, 2007.

成績評量方式: 期中考50%，期末考50%
預修課程: 電磁學(一)、(二)