Claim up to $500 in flight credits!
Get up to $500 in flight credits or grants toward study or internship programs abroad when you apply by January 01, 2025. See our Official Rules for full details.
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