CENG399 is a service course offered this semester exclusively to students from the Department of Food Engineering and the Department of Molecular Biology and Genetics. The course is designed as an applied introduction to artificial intelligence, with an emphasis on understanding concepts, methods, and practical use rather than mathematical depth.
The main objective of the course is to build AI literacy. Students will learn about domain-specific data types, data preprocessing and analysis workflows, and the core ideas behind widely used machine learning and deep learning approaches. The course aims to help students understand how these methods can be applied to real problems in their own fields, including how to choose appropriate models, select suitable evaluation metrics, and correctly interpret model outputs and results.
Students are expected to demonstrate analytical thinking and problem-solving skills. Prior programming experience is not required, but familiarity with programming will be an advantage. Throughout the course, tools such as Python, Jupyter Notebook, scikit-learn, WEKA, and Orange will be used to support hands-on learning and experimentation.
Assessment will include a midterm exam, a final exam, and a semester-long project. As part of the project, students will work on an application related to their domain, prepare a report, and present their work at the end of the semester.