0011 (8)

1. 12-31 ChatGTP (New Bing) Guidence
2. 04-30 Alg
3. 03-31 Array Structure
4. 03-03 (c)tree copy
5. 03-02 (c)queue
6. 03-01 Stack
7. 02-28 Linear List
8. 01-31 Graph and Network Basic

0010 (6)

1. 12-31 Data Structure Overview
2. 01-31 Statistics - Basis
3. 01-04 A/B Testing - Analyze Results
4. 01-03 A/B Testing - Design an Experiment
5. 01-02 A/B Testing - Metrics for Experiments
6. 01-01 A/B Testing - Policy and Ethics for Experiments

0009 (9)

1. 12-31 A/B Testing - Overview
2. 04-01 Database Practice Problems
3. 03-31 LeetCode Database Practice
4. 03-02 MySQL Doc
5. 03-01 MySQL Doc
6. 02-28 Sqlite Doc
7. 02-01 (MySQL) Database Model Design
8. 01-31 MySQL Doc
9. 01-01 Data Cleaning 数据清洗

0008 (6)

1. 12-31 Basis
2. 03-31 Stationary stochastic processes
3. 02-29 Gaussian Process Regression
4. 01-31 Input Modeling
5. 01-02 Probability - Advanced
6. 01-01 Probability - Rules and Distributions

0007 (17)

1. 12-31 Probability - Basis
2. 10-01 Book - Factory Physics
3. 09-30 Book - Optimizing Factory Performance
4. 09-01 Six Sigma - DMAIC
5. 08-31 Lean Six Sigma - Intro
6. 04-05 ISYE6336 - TSP
7. 04-04 ISYE6336 - Long-haul Transportation Network Design
8. 04-03 ISYE6336 MCNF and MCMCF
9. 04-02 ISYE6336 Berth Scheduling
10. 04-01 ISYE6336 Ocean Freight
11. 03-31 ISYE6336 Freight Trasnportation
12. 03-03 Isye6334 markov chains
13. 03-02 ISYE6334 - Uncertain Demand
14. 03-01 ISYE6334 - EOQ Model
15. 02-28 ISYE6334 - Newsvendor Problem
16. 02-01 ISYE6335 - Layout of Piece-Picking from Cartons
17. 01-31 ISYE6335 - Warehouse Basis

0006 (2)

1. 12-31 Basis
2. 01-31 PyClass SkeletonOfBeam Documentation

0005 (8)

1. 12-31 (Book Review)Concise Computer Vision - Reinhard Klette
2. 02-28 Linear Algebra in OR
3. 02-01 Graph
4. 01-31 Queuing Theory
5. 01-04 Case Study for Integer Programming
6. 01-03 Linear Programming (LP)
7. 01-02 Nonlinear Programming
8. 01-01 Integer Programming (IP)

0004 (10)

1. 12-31 Linear Programming (LP)
2. 07-31 Advanced Topcis - Kernel and HMM
3. 06-30 Supervised Learning - Classifiers
4. 06-02 Unsupervised Learning - Density Estimation
5. 06-01 Unsupervised Learning - Dimensionality Reduction
6. 05-31 Unsupervised Learning - Clustering
7. 05-01 Improve Deep Neural Network
8. 04-30 Neural Network
9. 03-01 Linear and Non-Linear Regression
10. 02-29 Regression Basis

0003 (6)

1. 12-31 Basis
2. 01-31 Grasshopper Basis
3. 01-05 Grasshopper Development-C#-06 Errors
4. 01-04 Grasshopper Development-C#-05 Tricks
5. 01-03 Grasshopper Development-C#-04 Write Own Class
6. 01-02 Grasshopper Development-C#-03 Simple Plug-in for Grasshopper Using VS

0002 (7)

1. 12-31 Grasshopper Development-C#-01 Introduction
2. 02-28 Japanese Overall
3. 02-01 Daily Expressions
4. 01-31 Daily Expressions
5. 01-03 GRE Vocabulary Part 3 - Suffix
6. 01-02 GRE Vocabulary Part 2 - Prefix
7. 01-01 GRE Vocabulary Part 1 - Root

0001 (9)

1. 12-31 GRE Vocabulary Overall
2. 03-31 LA Basis - Some Math Concepts
3. 03-04 Math415 Final Review Sample
4. 03-03 Math415 Midterm-3 Review
5. 03-02 Math415 Midterm-2 Review
6. 02-28 Math415 Discussions and Homeworks
7. 02-02 Math415 Week 11-14
8. 02-01 Math415 Week 06-10
9. 01-31 Math415 Week 01-05

0000 (1)

1. 12-31 TextBook - Introduction to Linear Algebra