Course profile

ECON3225

Big Data Economics

Faculty of Business and Economics

Course description not available yet.

Credits6
Reviews0
SummaryAvailable

AI-generated

Course summary

Mixed

ECON3225 is suitable for self-disciplined students and those looking to avoid exams. It's generally recommended for FBE students seeking coding knowledge, with manageable workload but unpredictable grading.

Grading

Grading is average and can be generous; the worst grade is B-, with final project grades curved between groups.

Workload

Workload isn't heavy, consisting of four group-based assignments and one final group project. No tutorials or mandatory lecture attendance.

Assessments

No final exam, assessments include four group-based assignments and a final group project. Grading is based on ranking within the group.

Teaching

Teaching quality varies; Yu Ping is passionate but grading can be unpredictable, while Jasmine's lectures are described as okay with simple content.

Tips

Attend office hours for deeper understanding, and consider STAT3612 if you're an ambitious student looking to learn more thoroughly.

manageable workloadunpredictable gradingteaching quality varies

AI-generated AI-generated summary based on student reviews, using Qwen 2.5.

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