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Subject name: Artificial Intelligence |
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Author : Topic content : |
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Recently, there are many ‘smart’ named applications using artificial intelligence algorithms. The machine learning process is very important in artificial intelligence field. Therefore, the students need to learn about what is logic and decision making, how to process it, how to recognize main object in from input data, what is the problems to recognizing the object and reacting to it. Through studying this class, the students will know these concepts of logic programming and artificial intelligence and practice popular methods and make simple programs in during the term. • Describe the key components of the artificial intelligence (AI) field and its relation and role in Computer Science; • Identify and describe artificial intelligence techniques, including search heuristics, knowledge representation, automated planning and agent systems, machine learning, and probabilistic reasoning; • Identify and apply AI techniques to a wide range of problems, including complex problem solving via search, knowledge-base systems, machine learning, probabilistic models, agent decision making, etc.; • Design and implement appropriate AI solution machine learning techniques for face recognition, speech recognition, game development, etc. • Analyze and understand the computational trade-offs involved in applying different AI techniques and models. • Communicate clearly and effectively using the technical language of the field correctly.
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