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Artificial Intelligence in Business
History, Politics & International Studies Program
Madrid, Spain
Dates: 1/19/23 - 6/3/23
Artificial Intelligence in Business
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: 17640
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Artificial Intelligence
DESCRIPTION
1. Introduction
- Context.
- Key Features.
- Main techniques.
2. Expert Systems
- Introduction.
- What is an Expert System?
- Applications of Expert Systems.
- Advantages and Disadvantages
- Case studies
3. Neural Networks
- Introduction
- Artificial Neural Networks
- Applications of ANN
- Advantages-Disadvantages
- Case studies
4. Evolutionary Algorithms
- Introduction
- Evolutionary algorithms
- Applications of evolutionary algorithms
- Advantages and disadvantages
- Case studies
5. Data Mining
- Introduction
- Applications
- KDD and Data Mining
- Data Mining Tasks
- Applications
- Case studies
6. Text mining
- Definition
- Overall Architecture of Text Mining Systems
- Core Text Mining Operations
- Applications
- Case studies
7. Web Mining
- Introduction
- Types of Web Mining
- Content Web Mining
- Structure Web Mining
- Usage Web Mining
- Case studies
8. Fuzzy Logic
- The concept of fuzzy
- Fuzzy Sets
- Fuzzy logic
- Fuzzy reasoning systems
- Case studies
9. Agents
- Introduction
- What is an agent?
- Multiagent Systems
- Applications
- Case studies
10. Other techniques
- Introduction
- Description
- Applications
- Case studies
- Context.
- Key Features.
- Main techniques.
2. Expert Systems
- Introduction.
- What is an Expert System?
- Applications of Expert Systems.
- Advantages and Disadvantages
- Case studies
3. Neural Networks
- Introduction
- Artificial Neural Networks
- Applications of ANN
- Advantages-Disadvantages
- Case studies
4. Evolutionary Algorithms
- Introduction
- Evolutionary algorithms
- Applications of evolutionary algorithms
- Advantages and disadvantages
- Case studies
5. Data Mining
- Introduction
- Applications
- KDD and Data Mining
- Data Mining Tasks
- Applications
- Case studies
6. Text mining
- Definition
- Overall Architecture of Text Mining Systems
- Core Text Mining Operations
- Applications
- Case studies
7. Web Mining
- Introduction
- Types of Web Mining
- Content Web Mining
- Structure Web Mining
- Usage Web Mining
- Case studies
8. Fuzzy Logic
- The concept of fuzzy
- Fuzzy Sets
- Fuzzy logic
- Fuzzy reasoning systems
- Case studies
9. Agents
- Introduction
- What is an agent?
- Multiagent Systems
- Applications
- Case studies
10. Other techniques
- Introduction
- Description
- Applications
- Case studies