고려대학교 뇌공학과

BRI641-Deep Learning Theory [3]

This course is designed to learn mathematical features and fundamental concepts in deep learning that helps autonomously extract latent/complicated patterns.

BRI642-Practice in Deep Learning [3]

This course is designed to learn developmental techniques for applying deep learning methods to real applications based on their theoretical understanding.

BRI643-Machine Learning for Visual Intelligence [3]

This course is designed to learn machine learning methods for developing visual intelligence of analyzing and understanding visual information such as images and videos.

BRI644-Machine Learning for Linguistic Intelligence [3]

This course is designed to learn artificial intelligence techniques for analyzing or understanding textural information such as texts and documents.

BRI645-Machine Learning for Medical Intelligence [3]

This course is designed to learn machine learning methods to efficiently analyze and understand medical images/signals and bio-information.

BRI646-Machine Learning for Financial Intelligence [3]

This course is designed to learn various machine learning methods for financial intelligence of processing stocks, options, futures, etc.

BRI647-Machine Learning for Space Intelligence [3]

This course is designed to learn various machine learning methods for space intelligence of analyzing objects, figures, maps, etc.

BRI701 - Topics in Memory and Cognition [3]

Discussion and presentation of researches and issues related to Memory and Cognition.

BRI702 - Topics in Brain-Computer Interface [3]

Discussion and presentation of researches and issues related to Brain-Computer Interface.

BRI703 - Topics in Computer Vision [3]

Discussion and presentation of researches and issues related to Computer Vision.