Artificial Intelligence: Concepts, Challenges, and Opportunities

University of Vaasa: Artificial Intelligence: Concepts, Challenges, and Opportunities, 5 ECTS. This course will cover topics such as algorithmic thinking probability theory and Bayesian concepts concepts and review of machine learning algorithms game theory and decision making NLP workflow: text mining, word embedding, skip-grams, cbow programming tools: Jupyter and Spyder Keras and applications Scikit learn Orange data management tool ethical and societal challenges and categories of ethical challenges of AI After completing the course, the student is able to define and explain various artificial intelligence (AI) concepts, challenges, and opportunities: e.g., problem-solving, knowledge representation, machine learning, decision-making, natural language processing, and expert systems. The student is able to explain fundamental algorithms and the related mathematical and programming concepts of AI. He/She can list applications of AI in various fields and use AI software or tools for specific purposes. In addition, the student can recognize ethical problems related to AI and to suggest constructive solutions to those.