This curriculum provides a comprehensive path through essential topics in Applied AI and Computer Vision, offering alternatives for each course and additional resources to deepen understanding and practical application.
Semester 1
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Machine Learning
- Course Link: Machine Learning
- Alternatives: Deep Learning Specialization
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Deep Learning
- Course Link: Deep Learning Specialization
- Alternatives: Advanced Machine Learning Specialization
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Reinforcement Learning
- Course Link: Reinforcement Learning Specialization
- Alternatives: Advanced AI Specialization
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Inference and Causality
- Course Link: Causal Inference
- Alternatives: Statistics and Causal Inference
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Seminar: Current Topics in AI
- Duration: 1 semester
- Additional Resources: Research papers, conferences, and seminars in AI.
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Image Processing and Low Level Vision
- Course Link: Image Processing
- Alternatives: Computer Vision Basics
Semester 2
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Mid-Level Vision and Video
- Course Link: Computer Vision: From 3D Reconstruction to Visual Recognition
- Alternatives: Advanced Computer Vision
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High-Level Vision
- Course Link: Visual Perception for Self-Driving Cars
- Alternatives: Perception for Autonomous Systems
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Project: Computer Vision
- Duration: 1 semester
- Additional Resources: OpenCV documentation, GitHub repositories, Kaggle competitions.
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Master Thesis
- Duration: 1 semester
- Additional Resources: Academic journals, conferences, and thesis writing guides.