Data Analytics, Quantitative Finance, and Blockchain Finance

Grading is fair according to multiple reviews, with many bonus points available. However, students need to seek clarification frequently for high marks.

The course has a heavy workload, particularly for non-CS students, due to the project-based nature and unclear assignments.

Assessments include group projects, final research papers, and no exams. Grading is based on continuous engagement and clear communication with the professor.

The professor, Alan, is engaging and helpful but can be ambiguous in his instructions. He offers lots of support and interaction via Zoom calls.

Team up with a CS student for better understanding of technical concepts and clearer assignments. Constantly seek clarification from the professor to ensure high marks.