2023/01/09 本學期讀書會已於今日悄悄結束，希望參與的同學們能繼續維持自主學習，把基礎打好，等待機會到來！
2022/09/02: 本讀書會設立初衷為增加同學接觸機率學之機會、延續學習，並非以高深的機率理論為主軸，想要改善自己機率底子的同學們可以把讀書會當作一個課程體制外的平台，利用同儕的分享與老師的協助在原先的基礎上再次打底，而底子已經不錯的同學們也不妨利用這個機會訓練自己的表達能力以及反思基礎內容，進而深入進階的機率理論範疇。第一次讀書會預計於9/12開學當天晚上6點於EE1-101開始。
2022/06/22: 讀書會用書暫定為Introduction to Probability，是上學期電機系二年級機率學課程參考書籍之一。讀書會將以MIT開放式課程6.041之Video Lectures為主要素材 (Playlist@Youtube)。每個Video約一小時內容且附有英文字幕，應不會造成理解問題。每位同學須在讀書會前先看過影片，然後有一位同學會以板書（或手寫筆記）分享課程內容，老師則在一旁引導、協助。以電工實驗四「資訊編碼專題」參與讀書會者，老師會根據個人興趣給予素材閱讀，平常讀書會時老師亦會花點時間討論，幫助同學學習，學期中修課同學需撰寫週記，減少期末報告撰寫以及心得分享之負擔。
Materials:
Dimitri Bertsekas and John Tsitsiklis, Introduction to Probability. 2nd ed. Athena Scientific, 2008. ISBN: 9781886529236.
Dimitri P. Bertsekas and John N. Tsitsiklis, Introduction to Probability, Lecture Notes (2000 Fall), Course 6.041-6.431 M.I.T.
Location: EE1-R103
Time: Mondays 6 pm - 7:30 pm
目前參與成員： 丁昱鈞、王柔淳、林柏宇、李承恩、李光晏、胡育綺、許恩珛、張哲維、張維哲、張恩碩、徐朝佑、蔡瀚霆、郭亮榆、劉政安、葉書齊、楊日醇、鄭丞恩、鄭濬緯
Week 1 (09/12): Opening
Topic: Probability Models and Axioms (Video Lecture 1, Lecture Notes 1.1-1.2)
Speaker: 嗡嗡嗡
Remark: The setup of sample space depends on how much information we want to use from a random experiment.
Week 2 (09/19): 混成 EE1-R103 + Online (due to COVID-19)
Topic: Conditioning and Bayes' Rule (Video Lecture 2, Lecture Notes 1.3, 1.5)
Speaker: 李承恩
Remark: Use tree diagram to illustrate the law of total probability and the conditional probability.
Week 3 (09/26): Online (due to COVID-19)
Topic: Independence (Video Lecture 3, Lecture 1.4)
Speaker: 張維哲
Week 4 (10/03): EE1-R101
Topic: Counting (Video Lecture 4, Lecture 1.6)
Speaker: 林柏宇
Week 5 (10/10): No Class
Week 6 (10/17):
Topic: Discrete Random Variables I (Video Lecture 5)
Speaker: 蔡翰霆
Week 7 (10/24):
Topic: Discrete Random Variables II (Video Lecture 6)
Speaker: 郭亮榆
Week 8 (10/31): Midterm Week
Topic: Discrete Random Variables III (Video Lecture 7)
Speaker: 王柔淳
Week 9 (11/07):
Topic: Continuous Random Variables (Video Lecture 8)
Speaker: 鄭濬緯
Week 10 (11/14):
Topic: Multiple Continuous Random Variables (Video Lecture 9)
Speaker: 張哲維
Week 11 (11/21):
Topic: Continuous Bayes' Rule; Derived Distributions (Video Lecture 10)
Speaker: 張恩碩
Week 12 (11/28):
Topic: Derived Distributions (Cont'd); Covariance (Video Lecture 11)
Speaker: 丁昱鈞
Week 13 (12/05): ＊＊＊
Topic: Iterated Expectations (Video Lecture 12)
Speaker: 鄭丞恩
Week 14 (12/12):
Topic: Weak Law of Large Numbers (Video Lecture 19)
Speaker: 許恩珛
Week 15 (12/19):
Topic: Central Limit Theorem (Video Lecture 20) + Classical Statistical Inference (Video Lecture 23-24)
Speaker: 徐朝佑翁健家
Week 16 (12/26): No Class/Final Exam
Week 17 (01/02): Cancelled
Topic: Bayesian Statistical Inference I (Video Lecture 21)
Speaker: 楊日醇
Week 18 (01/09): Cancelled
Topic: Bayesian Statistical Inference II (Video Lecture 22)
Speaker: 葉書齊
MIT RES.6-012 Introduction to Probability, Spring 2018. @Youtube