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- Wendy Kurtz
- DGT HUM 101
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Based on 1 User
TOP TAGS
- Uses Slides
- Tolerates Tardiness
- Engaging Lectures
- Participation Matters
- Gives Extra Credit
- Would Take Again
- Has Group Projects
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Professor Kurtz is amazing! She's a great lecturer and would often ask us questions and make her lectures interactive. She's very approachable and always willing to help. Prof Kurtz provides many resources to aid in creating our project, including previous student projects. Late assignments are accepted, often with no points off, and there are many opportunities for extra credit. Discussion attendance is graded, since that is where we work with our project group. The whole course essentially revolves around a short DH group research project, using a dataset chosen as a group and creating a website about it with data visualizations and commentary. Tutorials are given during lecture on software used for creating data visualizations (Tableau, Palladio, Voyant, etc.). If you aren't familiar with these tools you'd likely need to take some more time outside of class to learn them. It will help a lot to have tech savvy group members or some previous experience, though this class is certainly still possible without either. The pace at which the project progresses can be pretty fast, however, so I'd recommend to plan things out early and often with your group.
Professor Kurtz is amazing! She's a great lecturer and would often ask us questions and make her lectures interactive. She's very approachable and always willing to help. Prof Kurtz provides many resources to aid in creating our project, including previous student projects. Late assignments are accepted, often with no points off, and there are many opportunities for extra credit. Discussion attendance is graded, since that is where we work with our project group. The whole course essentially revolves around a short DH group research project, using a dataset chosen as a group and creating a website about it with data visualizations and commentary. Tutorials are given during lecture on software used for creating data visualizations (Tableau, Palladio, Voyant, etc.). If you aren't familiar with these tools you'd likely need to take some more time outside of class to learn them. It will help a lot to have tech savvy group members or some previous experience, though this class is certainly still possible without either. The pace at which the project progresses can be pretty fast, however, so I'd recommend to plan things out early and often with your group.
Based on 1 User
TOP TAGS
- Uses Slides (1)
- Tolerates Tardiness (1)
- Engaging Lectures (1)
- Participation Matters (1)
- Gives Extra Credit (1)
- Would Take Again (1)
- Has Group Projects (1)