Artificial Intelligence for Engineering Applications

Catalog description

Description This course introduces modern AI optimization techniques mimicking biological principles such as survival of the fittest, behavior of ants and flocks of birds. These AI techniques become especially relevant for problems when there is no known analytical solution. This course illustrates application of AI techniques to solve realistic engineering problems in many fields including telecommunication, transportation, robotics, biology, finance and others. Description This course is an introduction to AI and machine learning techniques used in engineering field. The course includes projects mimicking real-life applications that lead the students into the magical world of AI, without requiring them to have advanced math and computational skills. The students will not write programs but modify parameters of instructor-provided examples using different sets of data. After completing the course, students will be familiar with mechanisms behind popular AI applications such as large language models (speech recognition, language translation, health applications, character recognition, natural language processing), data interpretation and financial applications. Basic knowledge of programming in Python, Matlab or C++