AI Academy

Firm Level Economics: Consumer and Producer Behavior

Instructor: Larry DeBrock Duration: 2 weeks at 10 hours a week
Objective 1 Describe consumer behavior as captured by the demand curve and the supply curve.
Objective 2 Explain the impact of taxes and price controls on market equilibrium.
Objective 3 Explain elasticity of demand.
Objective 4 Describe cost theory and how firms optimize given the constraints of their own costs and an exogenously given price.
Supply And Demand
Cost Management
Tax
Production Management
Market Dynamics
Price Negotiation
Business Economics
Resource Allocation
Economics
Consumer Behaviour

Firm Level Economics: Markets and Allocations

Instructor: Larry DeBrock Duration: 2 weeks at 10 hours a week
Objective 1 Explain how different market structures result in different resource allocations.
Objective 2 Model the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity.
Objective 3 Explain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets.
Objective 4 Describe how information problems can cause inefficient outcomes.
Supply And Demand
Market Analysis
Resource Allocation
Business Economics
Economics
Competitive Analysis
Game Theory
Decision Making
Market Dynamics
Public Policies

Exploring and Producing Data for Business Decision Making

Instructor: Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO Duration: 2 weeks at 10 hours a week
Objective 1 Summarize large data sets in graphical, tabular, and numerical forms.
Objective 2 Understand the significance of proper sampling and why you can rely on sample information.
Objective 3 Use sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.
Objective 4 Use Excel for statistical analysis.
Probability Distribution
Data analysis
Data Collection
Descriptive Statistics
Probability & Statistics
Graphing
Statistical Analysis
Statistical Inference
Business Analytics
Histogram
Sampling (Statistics)
Data Presentation
Analytics
Microsoft Excel
Exploratory Data Analysis
Statistics

Inferential and Predictive Statistics for Business

Instructor: Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO Duration: 2 weeks at 10 hours a week
Objective 1 Test for beliefs about a population.
Objective 2 Compare differences between populations.
Objective 3 Use the linear regression model for prediction.
Objective 4 Learn how to use Excel for statistical analysis.
Probability & Statistics
Business Mathematics
Statistical Inference
Predictive Analytics
Statistical Analysis
Statistical Hypothesis Testing
Microsoft Excel
Business Analytics
Statistical Methods
Regression Analysis
Data-Driven Decision-Making
Analytics
Statistical Modeling

Banking and Financial Institutions

Instructor: Rustom Manouchehri Irani Duration: 2 weeks at 10 hours a week
Objective 1 Appreciate how money and finance can benefit the real economy.
Objective 2 Describe how modern banks earn a profit.
Objective 3 Compare and contrast banks with other providers of debt finance and payments.
Objective 4 Explain why financial regulations are needed and their impacts.
Financial Regulations
Banking
Commercial Banking
Balance Sheet
Risk Management
Payment Systems
Operational Risk
Financial Market
Financial Services
Retail Banking
FinTech
Credit Risk
Financial Systems

Central Banks and Monetary Policy

Instructor: Ralf Meisenzahl Duration: 2 weeks at 10 hours a week
Objective 1 Describe and understand the functioning of the key money markets.
Objective 2 Describe the main policy objectives of central banks.
Objective 3 Examine how, by controlling interest rates, monetary policy influences inflation and unemployment.
Objective 4 Describe how monetary (and fiscal) authorities respond to stress in financial markets.
Financial Data
Market Liquidity
Banking
Economics
Financial Market
Market Dynamics
Financial Policy
Crisis Management
International Finance
Financial Regulation