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Data-based Decision Making

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Data-based Decision Making - Previous Class 1. Comparative advantage Next - Data-based Decision Making Class 3. Causality in data science

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