2025/2026
Нейронные сети и глубокое обучение
Статус:
Маго-лего
Кто читает:
Департамент бизнес-информатики
Где читается:
Высшая школа бизнеса
Когда читается:
1, 2 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Джин Сеунгмин
Язык:
английский
Кредиты:
6
Контактные часы:
48
Course Syllabus
Abstract
This course introduces Master's students in Business Informatics—especially those with non-technical backgrounds—to neural networks and deep learning through an intuitive, low-code lens. Emphasizing practical training over coding expertise, it leverages ChatGPT for prompt engineering, code generation, and natural-language explanations to demystify algorithms like MLPs, CNNs, RNNs, and transformers. Students will explore forward/backpropagation, model architectures, and applications in business scenarios such as forecasting, image analysis, and anomaly detection.
Outcomes include: intuitive grasp of DL processes, low-code model training for business problems, ethical roadmaps, and a final prototype project. Ultimately, the course transforms deep learning from a technical hurdle into a strategic business tool, fostering analytics-driven innovation in resource-constrained environments.
cf. This course evaluates students using the normalized scores.