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SIAI Lecture Notes
SIAI Yearbook
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Research Story in AI/Data Science
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  - Analyzing the U.S.-China trade conflict using Comparative Advantage Theory and the Cobb-Douglas Production Function

Math & Stat for MBA I

Class 2. Basic statistics

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Data Management
Scientific Programming
Class 8. Summary of Math & Stat for MBA I
Mincheol Kim (MSc, 2023)
Advanced Deep Learning
Game Theory
Class 6. Bayesian statistics
Class 8. Summary of Machine Learning
Class 8. Summary of Scientific Programming
Data Visualization
Sungsu Han (MBA, 2024)
Class 6. Factor analysis
Class 2. Bellman equations
Hyoung Keun Kwon (MSc, 2024)
AI Business Cases
Class 6. Policy-based optimization
Class 7. Deep Generative Models
Class 5. Probability models
Probabilistic Graphical Models
Donggyu Kim (MBA, 2024)
Class 8. Summary of Math & Stat for MBA II
Advanced Reinforcement Learning
Class 4. Boltzmann machine
Jeongwoo Park (MSc, 2023)
Class 5. Simulations
Class 1. Introduction to intertemporal optimization
Class 2. Autoencoder
Class 7. Artificial Neural Network
Law and AI
Class 2. Classification
Hyeyoung Park (MBA, 2023)
Class 3. Data grouping
Information Theory
Class 4. Time series II – Seasonality and frequency
Jeonghun Song (MSc, 2023)
Data-based Decision Making
Class 2. Exact matching via quadrature
Class 3. MCMC and Bayesian extensions
Games with Incomplete Information
Class 1. Regression problems
Class 3. Fourier transform
Class 5. Dimensionality reduction
Regression Analysis I
Class 4. ANOVA to Multivariate regression
Class 6. Variance reduction
Class 7. Summary of Math & Stat for MBA II
Bohyun Yoo (MBA, 2023)
Class 7. Summary of Data-based Decision Making 1
Math & Stat for MBA I
Yeonsook Kwak (MBA, 2024)
Class 1. Approximations and computational cost
Class 8. Summary of Reinforcement Learning
Class 3. Basic statistics
SIAI Yearbook
Class 5. Endogeneity – Correlation between errors and regressors
Bayesian Statistics II
Class 8. Summary of Deep Learning
Class 7. Large Language Model (LLM)
Class 6. Endogeneity – Measurement error
Regression Analysis II
Class 5. Simulation and Bayesian
Class 8. Summary of Data-based Decision Making 2
Class 4. Basic time series regression analysis
Books
Class 2. Consumer choices
Class 3. Causality in data science
Class 4. Ensemble
Class 1. Basic statistics
Class 3. Time Series – ACF and PACF
Class 7. Optimization methods
Class 2. Generalized least square
Class 7. Summary of Math & Stat for MBA I
Class 5. Value-based optimization
Regression Analysis III
Class 6. Recurrent Neural Network
Reinforcement Learning
SIAI Lecture Notes
SIAI Yearbook – 2024
AI in Digital Marketing
Class 1. Comparative advantage
Class 3. Hamiltonian analysis
Deep Learning
Class 4. First-order differential equations (FODE)
Class 6. Endogeneity 2 – Correlation between errors and regression
Social Network Analysis
Class 5. Image recognition
SIAI Yearbook – 2023
Class 4. Finite differences
AI in Asset Management
Panel Data Analysis
Class 1. Large sample properties and maximum likelihood
AI in Corporate Finance
Bayesian Statistics I
Math & Stat for MBA II
Machine Learning
Class 1. Introduction to deep learning
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Class 2. Basic statistics

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Global Institute of Artificial Intelligence(GIAI) LLC. is an academic association with a group of scientifically trained researchers in the field of AI/Data Science. The institution runs multiple business lines including AI/Data Science consultancy, academic journals, graduate school level higher education, and business journals dedicated to technological advance.

The European headquarter is in Dublin, Ireland, with world-wide strongpoints in Europe, Americas, and Asia. Membership of the institution is open to academic groups, businesses in AI/Data Science, and individuals with dedicated research/business records.

Office: Block B, Capital Dock, 80 Sir John Rogerson's Quay, Dublin, Ireland
E-mail : [email protected]