Course profile
Data science in politics and public administration
Course description not available yet.
AI-generated
Course summary
POLI3148 is highly recommended for those interested in data science applications in politics and public administration; it offers practical learning opportunities with generous grading. The course is suitable for beginners but requires consistent effort, especially during group projects.
Grading is generally considered generous, with multiple students mentioning good grades are achievable with effort.
The workload is moderate to heavy, with weekly assignments and a group project; however, some find it manageable with the right team dynamics.
Assessment includes regular Python programming assignments every three to four weeks, a small poster fair presentation at the end of the course, and a group project. There are no midterms or final exams mentioned.
The professor is described as engaging and helpful; multiple students praise Chh for being supportive throughout the course.
Form a strong team with good communication skills, maintain regular contact with the professor, and stay consistent with your efforts to achieve a good grade.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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