Neural Networks and Deep Learning

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

6

Кредиты

Кто читает:

Департамент бизнес-информатики

Статус:

Курс обязательный

Когда читается:

2-й курс, 1, 2 модуль

Преподаватель

Джин Сеунгмин

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.