The lecture on artificial intelligence (EC 4209/AI 5209) is a subject where you learn what artificial intelligence is and what can be done with it. There are several methods for approaching AI and here, you learn about AI based on agents. Ultimately, you will learn the basic principles for designing physical entities such as robots with intelligence or software systems such as the recommended system. Agents receives data from external environment through sensors and transmits appropriate output to the environment to achieve the goal. For instance, autonomous vehicles complying with the law while safely taking a passenger to a destination or efficiently winning in case of games like AlphaGo or chess. In order to effectively achieve such objectives, agents have to be capable of finding answers in a data structure or graph data structure, planning the act of finding and processing the uncertain of data arising from various unknowns and be capable of making reasonable decisions. In order to become a slightly smarter agent, it has to be capable of learning from data or experience. This would be the machine learning/deep learning field which is currently gaining big advances. You will learn about classification of data with machine learning, clustering, and reinforcement learning based on trial and error. Currently, such AI technology is being utilized in diverse fields such as diagnosing and predicting illnesses, developing new drugs, unmanned vehicles, image/music products and the like. This subject deals with the overall details related to artificial intelligence, and it can be said to be an essential subject that demonstrates the possibility of various applications in many fields. Lecture information