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Master 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. 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)
3. Computer Vision
100 mins
10 topics
Introduction to Computer Vision Image Processing Fundamentals Image Segmentation Object Detection and Recognition Convolutional Neural Networks (CNNs)
4. Reinforcement Learning
270 mins
27 topics
Introduction to Reinforcement Learning Markov Decision Processes Value Functions and Bellman Equations Q-Learning Deep Reinforcement Learning
5. Capstone Project
80 mins
8 topics
Choosing a Capstone Project Topic Developing a Capstone Project Proposal Conducting Literature Review for Capstone Project Data Collection and Analysis Methods Writing the Capstone Project Report
6. Machine Learning Fundamentals
80 mins
8 topics
Introduction to Machine Learning Data Preprocessing Supervised Learning Unsupervised Learning Model Evaluation and Selection
7. Deep Learning and Neural Networks
100 mins
10 topics
Introduction to Deep Learning Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Optimization Techniques in Deep Learning
8. AI Ethics and Bias
80 mins
8 topics
Introduction to AI Ethics Ethical Principles in AI Bias in AI Fairness in AI Accountability and Responsibility in AI
9. AI Applications and Case Studies
80 mins
8 topics
Introduction to AI Applications AI in Healthcare AI in Finance AI in Marketing AI in Transportation
10. AI Research Methods
100 mins
10 topics
Introduction to AI Research Methods Literature Review in AI Research Quantitative Research Methods in AI Qualitative Research Methods in AI Mixed-Methods Approach in AI Research
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