| Description
| This course combines design thinking and deep learning techniques tailored for financial applications. Students will explore the five key steps of design thinking: empathy, problem definition, ideation, prototyping, and testing. These steps will be applied to solve practical financial challenges.
The course content includes data collection and cleaning, feature engineering, deep learning model building, training, and deployment. Students will work with tools like Pandas, NumPy, Keras, and TensorFlow for data analysis and model development. The learning process is enriched through PBL (Project-Based Learning) projects, offering hands-on experience in interdisciplinary teamwork.
By integrating technical skills and innovative thinking, this course aims to develop forward-thinking financial technology professionals equipped with practical expertise.
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