2024 Spring Semester Planned Taking Course
Just a tentative agenda. OF COURSE WE CAN NOT DO THAT!
Overview
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flowchart LR
24sp(24 Spring Courses)
fin(Finance Course)
cs(Computer Science)
ds(Data Science)
math(Mathmetics)
Fin3026(財務計量 Financial Econometrics)
Fin7035(商業賽局模型一)
Option(期貨與選擇權 Options, Futures and other Derivatives )
IM5030(資訊檢索與文字探勘導論)
EE4033(演算法 Algorithms)
CSIE5431(深度學習之應用 Applied Deep Learning)
IE5054(資料分析方法 Data Analytics)
IM5047(大數據與商業分析)
COMME5051(機器學習中的數學原理)
24sp --> fin & cs & ds & math
fin --> Fin3026 & Fin7035 & Option
cs --> IM5030 & EE4033 & CSIE5431
ds --> IE5054 & IM5047
math --> COMME5051
Finance and Economics Course
商業賽局模型一 ( Fin 7035 )
Information
- Course Name: 商業賽局模型一
- Lecturer: 陳其美
- Semester: 110-1
- NTU Cool Link: 商業賽局模型一 ( Fin 7035 )
Syllabus
- 9/20 Static Games with Complete Information, I
- 9/27 Static Games with Complete Information, II
- 10/4 Multistage Games with Observable Actions and Repeated Games
- 10/11 Static Games with Incomplete Information
- 10/18 Adverse Selection and Screening Games, Part I
- 10/25 Adverse Selection and Screening Games, Part II
- 11/1 Signaling Games, Perfect Bayesian Equilibrium, and Some Refinements, I
- 11/8 Signaling Games, Perfect Bayesian Equilibrium, and Some Refinements, II
- 11/15 Midterm Exam
- 11/22 Financial Signaling Models, I
- 11/29 Financial Signaling Models, II
- 12/6 Asset Trading Models, I
- 12/13 Asset Trading Models, II
- 12/20 Interactions between Financial and Product Markets
- 12/27 Pricing Strategies
- 1/3 Product Line Design, Branding and Return Policy
- 1/10 Distribution Channels and E-commerce
- 1/17 Oral Presentation
Timeline
24 Mar. to 30 Mar.
- Rubinstein Bargaining Game and War of Attrition
- ngt2021nov10part3
- ngt2021nov17part1
- Infinitely Repeated Games
- ngt2021nov17part2
- ngt2021nov17part3
- ngt2021nov17part4a
- Finitely Repeated Games
- ngt2021nov17part4b
31 Mar. to 6 Apr.
- Static Games with Incomplete Information and BE
- ngt2021nov24part1
- Signalling Games, PBE, and Cho-Kreps Intuitive Criterion
- ngt2021nov24part2
- Applications to Finance: Jensen-Meckling Theory, Bank Run, Aghion-Bolton Model, Hart-Moore Model
- ngt2021dec08part1
- ngt2021dec08part2a
- ngt2021dec08part2b
7 Apr. to 13 Apr.
- Lecture 4: Spence Signaling Game
- ngt2021dec08part3a
- ngt2021dec08part3b
- Lecture 4: Screening Games: Monopolistic Nonlinear Pricing and Competitive Screening
- ngt2021dec15part1a
- ngt2021dec15part1b
- ngt2021dec15part2
- Lecture 4: Reputation Games (The Chain-store Paradox)
- ngt2021dec22part1
14 Apr. to 20 Apr.
- Lecture 5: The Costly State Verification (CSV) Debt-Financing Model
- ngt2021dec22part2
- ngt2021dec22part3
- Lecture 4: Sequential Equilibrium
- ngt2021dec29part1
- Lecture 4: Iterated Intuitive Equilibrium, Grossman-Perry Equilibrium, and Divine Equilibrium
- ngt2021dec29part2
財務計量 ( Financial Econometrics, Fin 3026 )
Information
- Course Name: 財務計量 ( Financial Econometrics )
- Lecturer: Chih-Ching Hung
- Semester: 110-2
- NTU Cool Link: 財務計量 (Fin 3026)
Syllabus
- Week 1 2/14 Basic Regression Concepts
- Week 2 2/21 Basic Regression Concepts
- Week 3 2/28 Peace Memorial Day
- Week 4 3/07 Time Series
- Week 5 3/14 Time Series
- Week 6 3/21 Time Series
- Week 7 3/28 Time Series
- Week 8 4/04 Spring Break
- Week 9 4/11 Midterm Exam
- Week 10 4/18 Exam Review and Potential Outcome Framework (1)
- Week 11 4/25 Potential Outcome Framework (2)
- Week 12 5/02 4~5 Student Presentations
- Week 13 5/09 Matching, RCT, and Experiment (2 Presentations)
- Week 14 5/16 Instrumental Variable (2 Presentations)
- Week 15 5/23 Difference-in-Difference (2 Presentations)
- Week 16 5/30 Regression Discontinuity (2 Presentations)
Timeline
To be finished.
期貨與選擇權 ( Options, Futures and other Derivatives )
- Course Name: Options, Futures and other Derivatives
- Lecturer: Chenghsi Hsieh
- Semester: 111-2
- Course Link: Options, Futures, and Other Derivatives
Timeline
To be finished.
Computer Science Course
深度學習之應用 ( Applied Deep Learning)
Information
- Course Name: 深度學習之應用 ( Applied Deep Learning)
- Lecturer: 陳縕儂
- Semester: 111-1
- Course Website Link: Applied Deep Learning 2022
- YouTube Video: 2022 Fall 台大資訊 深度學習之應用 NTU CSIE ADL
Syllabus
Timeline
To be finished.
資訊檢索與文字探勘導論 ( IM 5030 )
Information
- Course Name: 資訊檢索與文字探勘導論
- Lecturer: 陳建錦
- Semester: 112-1
- NTU Cool Link: 資訊檢索與文字探勘導論 ( IM 5030 )
Syllabus
Timeline
To be continue.
演算法 ( Algorithms, EE4033-01 )
Information
- Course Name: 演算法 ( Algorithms )
- Lecturer: 張耀文
- Semester: 111-1
- NTU Cool Link: 演算法 ( Algorithms )
Syllabus
Schedule (48 hrs in total this semester):
- Mathematical foundations + administrative matters (6 hrs)
- Sorting and order statistics (6 hrs)
- Data structures: binary search trees, RB trees, interval trees (2-hr lecture + pre-recorded videos)
- Dynamic programming and greedy algorithms (9 hrs)
- Amortized analysis (pre-recorded videos)
- Graph algorithms: disjoint set, graph representations, searching, minimum spanning tree, single-source and all-pair shortest paths, network flow, matching (14 hrs)
- NP-completeness & coping with NP-completeness (5 hrs)
- General-purpose algorithms: simulated annealing, and machine learning, as time permits.
- Others: Exams (6 hrs)
Timeline
To be finished.
Data Science
My interest is also data science. Here are several Course I decided to learn.
資料分析方法 ( Data Analytics， IE5054 )
Information
- Course Name: 資料分析方法 ( Data Analytics )
- Lecturer: CHUN-HUNG LAN
- Semester: 112-2
- NTU Cool Link: 資料分析方法 ( Data Analytics )
Syllabus
Week Due Topic Week 1 Feb. 19 Review & Preview Week 2 Feb. 26 Regression Analysis Week 3 Mar. 04 Regression Analysis Week 4 Mar. 11 Multivariate Statistical Inference Week 5 Mar. 18 Dimension Reduction Techniques Week 6 Mar. 25 Partial Least Squares Regression Week 7 Apr. 01 Big Data Infrastructure × Team Building* Week 8 Apr. 08 Mid-term Exam Week 9 Apr. 15 Supervised Learning Algorithms Week 10 Apr. 22 Supervised Learning Algorithms Week 11 Apr. 29 Unsupervised Learning Algorithms Week 12 May 06 Unsupervised Learning Algorithms Week 13 May 13 Machine Learning Techniques Week 14 May 20 Deep Neural Nets Week 15 May 27 Deep Neural Nets Week 16 Jun. 03 Project Presentation Day (Peer Review*) Week 17 Jun. 07 Report Due
Timeline
大數據與商業分析 (IM5047)
- Course Name: 大數據與商業分析 ( IM5047 )
- Lecturer: 楊立偉
- Semester: 112-2
- NTU Cool Link: 大數據與商業分析 ( IM5047 )
Syllabus
週次 主題 投影片 Week 01 (2024.02.21) 實體 Introduction 課程及修課說明 簡介 之後請至ntu cool Week 02 (2024.02.28) 放假 L1: Text mining 作業1 Week 03 (2024.03.06) 線上 L2: Web mining Week 04 (2024.03.13) 實體 L3: Classification Week 05 (2024.03.20) 線上 L4: Clustering Week 06 (2024.03.27) 實體 期中專題說明 Week 07 (2024.04.03) 實體 實習/L5: Sequence Tagging Week 08 (2024.04.10) 線上 L6: Language Processing Week 09 (2024.04.17) 線上 Special Issue: Gen AI & applications Week 10 (2024.04.24) 實體 期中報告 Week 11 (2024.05.01) 實體 E-Commerce Analytics (1) Week 12 (2024.05.08) 實體 E-Commerce Analytics (2) 期末專題說明 Week 13 (2024.05.15) 線上 E-Commerce Analytics (3) Week 14 (2024.05.22) 實體 期末Proposal/討論回饋 Week 15 (2024.05.29) 線上 Special Issue: Social Data Analytics Week 16 (2024.06.05) 實體 期末報告
Timeline
To be finished.
Mathematics
機器學習中的數學原理 ( COMME5051 )
Information
- Course Name: 機器學習中的數學原理 ( COMME5051 )
- Lecturer: I-Hsiang Wang
- Semester: 110-1
- NTU Cool Link: 機器學習中的數學原理 ( COMME5051 )
Syllabus
To be finished.
Timeline
To be finished.