|
課程名稱 |
機率
Probability |
|
開課學期 |
105-2 |
|
授課對象 |
資訊工程學系 |
|
授課教師 |
林守德 |
|
課號 |
CSIE2121 |
|
課程識別碼 |
902 25600 |
|
班次 |
01 |
|
學分 |
3.0 |
|
全/半年 |
半年 |
|
必/選修 |
必帶 |
|
上課時間 |
星期四7,8,9(14:20~17:20) |
|
上課地點 |
資104 |
|
備註 |
限學號單號 且 限本系所學生(含輔系、雙修生) 且 限學士班二年級以上
總人數上限：106人 |
|
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1052CSIEProbability |
|
課程簡介影片 |
|
|
核心能力關聯 |
核心能力與課程規劃關聯圖 |
|
課程大綱
|
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
|
課程概述 |
The goal of this course is to equip students with sufficient background knowledge to perform probabilistic and statistical analysis on CS-related problems. In the first part of this course, fundamental knowledge about probability theory will be discussed. Then we will move into some advanced techniques about probability theory. In the final part, we will demonstrate how the concept of probability and statistics can be applied to deal with real-world computer science problems including search engine, machine learning, data mining, and natural language processing. |
|
課程目標 |
This course will give a mathematical introduction to Probability. It will also cover some basic topics and methods in Statistics. |
|
課程要求 |
待補 |
|
預期每週課後學習時數 |
|
|
Office Hours |
備註： 張舒凱 Thur 10:00~12:00 R304
馮銘漢 Tue 10:00~12:00 R304
王柏安 Tue 12:00~14:00 R304 |
|
指定閱讀 |
Probability and Statistical Inference (8th or 9th version, Hogg & Tanis) |
|
參考書目 |
Probability for Electrical and Computer Engineers, Charles Therrien, Murali Tummala
Probability and Statistics for Engineering and Science, Jay Devore
Probability and Statistics for Computer Science, James L. Johnson |
|
評量方式
(僅供參考) |
|
No. |
項目 |
百分比 |
說明 |
|
1. |
Midterm |
40% |
|
2. |
Final |
40% |
|
3. |
Final Project |
20% |
Finding an interesting topic to solve that’s relevant to probability
Each team contains 1~2 persons
We will provide some candidate problems for you to solve |
|