CS 3332-2

Brief

This course introduces the probability theory and gives examples to show how we can deal with uncertainty in engineering problems through probabilistic methods.

Description

Course keywords: permutation, combination, independence, random variable, distribution function 一、課程說明(Course Description) This course will introduce probability theory and give examples to show how we can deal with uncertainty in engineering problems through probabilistic methods. 二、指定用書(Text Books) Saeed Ghahramani, Fundamentals of Probability with Stochastic Processes, 4th Edition, Pearson (2019) 三、參考書籍(References) 四、教學方式(Teaching Method) Lecture In-class discussion 五、教學進度(Syllabus) 1. Axioms of Probability. 2. Combinatorial Methods. 3. Conditional Probability and Independence. 4. Distribution Functions and Discrete Random Variables. 5. Continuous Random Variables. 6. Special Continuous Distributions. 7. Expectations and Variances. 8. Sums of Independent Random Variables and Limit Theorems. 六、成績考核(Evaluation) Homework (30-40%) Exams (60-70%) 七、可連結之網頁位址 https://elearn.nthu.edu.tw/

Prerequisites

Timetable

Scores

Average Percentage 73.76

Std. Deviation 17.42

Remarks

Restrictions

資工系大學部2年級,電資院學士班大學部2年級優先，第3次選課起開放全校修習

Compulsory

Elective

Cross Discipline

First Specialization

Second Specialization