流水號
28676
課號
EE5048
課程識別碼
921 U2110
無分班
- 3 學分
選修
電機工程學研究所 / 積體電路設計與自動化碩士學位學程 / 積體電路設計與自動化博士學位學程 / 生醫電子與資訊學研究所 / 電子工程學研究所
電機工程學研究所
積體電路設計與自動化碩士學位學程
積體電路設計與自動化博士學位學程
生醫電子與資訊學研究所
電子工程學研究所
選修- 劉智弘
- 搜尋教師開設的課程
電機資訊學院 電機工程學系
chliu@ntu.edu.tw
- NULL
NULL
- NULL
- 三 7, 8, 9
電二229
2 類
修課總人數 120 人
本校 110 人 + 外校 10 人
無領域專長
- 英文授課
- NTU COOL
- 核心能力與課程規劃關聯圖
- 備註生醫電資所, 積體電路博士, 積體電路碩士, 電機所 本課程以英語授課。 電子所 本課程以英語授課。EDA組碩士班在學期間,七選二複選必修課程之一。
本校選課狀況
已選上0/110外系已選上0/0剩餘名額0已登記0- 課程概述An introduction to basic techniques for the design and analysis of algorithms. This course is a solid mathematical course, i.e., a lot of proofs. If your background is not in computer science, electrical engineering, or mathematics, please review the following prerequisite material to determine if this course is suitable for you. "Introduction to Algorithms, fourth edition, by Cormen, Leiserson, Rivest, and Stein" - Appendix A - Appendix B - Appendix C.1–C.4 (An online version of this textbook is available through NTU Library. Please search for it on the NTU Library website. ) The priority to enroll this course during the period "Add and Drop" is listed as follows : (The size of the classroom is about 135) 1. Graduate Institute of Electrical Engineering, Graduate Institute of Electronics Engineering, Graduate Institute of Biomedical Electronics and Bioinformatics and Program for Integrated Circuit Design and Automation 2. Graduate Institute of Communication Engineering and Graduate Institute of Photonics and Optoelectronics 3. College of Electrical Engineering and Computer Science and Graduate School of Advanced Technology 4. Others Last year, only the first two categories of students were able to enroll in the course during the "Preliminary Course Selection" session, but some students in the fourth category still obtained course add permission numbers during the "Course Add and Drop" session. This year, perhaps due to the change in the teaching language, quite a few students in the fourth category have already enrolled in the course during the "Preliminary Course Selection" session. For any question about this lecture, please first ask the TA (范湘絃, D11921C02@ntu.edu.tw).
- 課程目標1. Classical algorithm design techniques 2. Evaluation of the performance of different algorithms.
- 課程要求Homework (15%*2) Midterm (35%) Final (35%)
- 預期每週課前或/與課後學習時數
- Office Hour
- 指定閱讀
- 參考書目Introduction to Algorithms, fourth edition, by Cormen, Leiserson, Rivest, and Stein (An online version of this textbook is available through NTU Library. Please search for it on the NTU Library website. )
- 評量方式
- 針對學生困難提供學生調整方式
- 補課資訊
- 課程進度