This course is designed to introduce students to the fundamentals of artificial intelligence (AI) and provide them with a basic understanding of various AI techniques and their applications.
Prerequisites: A basic knowledge of computer programming and mathematics is helpful, but not required.
Topics Covered:
- Introduction to AI and its applications
- Machine learning and deep learning
- Neural networks and their architectures
- Natural language processing (NLP)
- Computer vision
- AI algorithms and programming languages
- Ethical considerations in AI
Class Format:
The class will be a combination of lectures, readings, and practical exercises. Students will have access to learning resources such as textbooks, videos, and online tools.
Assessment:
Assessment will be based on quizzes, assignments, and a final project which requires students to create and implement an AI model to solve a specific problem.
Course Goals:
1. Develop an understanding of the basic concepts and techniques of artificial intelligence.
2. Understand the real-world applications of AI.
3. Gain practical skills in implementing AI algorithms.
4. Learn about ethical considerations when using AI.
By the end of this course, students should have a basic understanding of how AI works and how it can be used in various industries.
