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Bachelor of Science in Artificial Intelligence
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Course Outline
10 sections
1. Introduction to Artificial Intelligence
300 mins
30 topics
What is Artificial Intelligence?
Types of Artificial Intelligence
Machine Learning Basics
Natural Language Processing (NLP)
Computer Vision
2. Deep Learning
300 mins
30 topics
Introduction to Deep Learning
Neural Networks
Activation Functions
Loss Functions
Backpropagation
3. Natural Language Processing
300 mins
30 topics
Introduction to Natural Language Processing
Text Preprocessing in NLP
Language Models in NLP
Sentiment Analysis
Named Entity Recognition (NER)
4. Computer Vision
100 mins
10 topics
Introduction to Computer Vision
Image Processing Fundamentals
Image Segmentation
Object Detection and Recognition
Convolutional Neural Networks (CNNs)
5. Robotics
300 mins
30 topics
History of Robotics
Types of Robots
Robotics Components
Robot Programming
Artificial Intelligence in Robotics
6. Ethics in Artificial Intelligence
270 mins
27 topics
Introduction to Ethics in Artificial Intelligence
Ethical Frameworks for AI
Bias and Fairness in AI
Transparency and Accountability in AI
Privacy and Data Protection in AI
7. Artificial Intelligence Applications
90 mins
9 topics
Introduction to Artificial Intelligence
Machine Learning Algorithms
Computer Vision
Natural Language Processing
Robotics and Automation
8. Reinforcement Learning
270 mins
27 topics
Introduction to Reinforcement Learning
Markov Decision Processes
Value Functions and Bellman Equations
Q-Learning
Deep Reinforcement Learning
9. Knowledge Representation and Reasoning
280 mins
28 topics
Introduction to Knowledge Representation and Reasoning
Semantic Networks
Frames and Scripts
Logic-Based Knowledge Representation
Ontologies
10. AI in Business
80 mins
8 topics
Introduction to AI in Business
Types of AI Technologies in Business
Implementing AI Strategies in Business
AI Applications in Marketing and Sales
AI in Supply Chain Management