POL SCI 6

Introduction to Data Analysis

Description: Lecture, three or four hours; discussion, one hour (when scheduled). Not open for credit to students with credit for course 6R. Introduction to collection and analysis of political data, with emphasis on application of statistical reasoning to study of relationships among political variables. Use of computer as aid in analyzing data from various fields of political science, among them comparative politics, international relations, American politics, and public administration. P/NP or letter grading.

Units: 5.0
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Overall Rating 2.6
Easiness 3.6/ 5
Clarity 2.6/ 5
Workload 2.8/ 5
Helpfulness 2.4/ 5
Most Helpful Review
Winter 2017 - Hartman was nice but she seemed pretty inexperienced. Her class setup was focused on peer learning so she and the TAs put us in groups that we stayed in for the entire quarter. Everything was done with our groups: the homework, the classwork, and our final project. There was also an enormous amount of coding in the R language which I found pretty hard because she didn't really teach it to us; she just sent us R files with instructions on how to do certain things. A normal lecture would consist of Hartman talking about what we'd be doing that day and then we'd work with our groups on a worksheet. Her lectures weren't effective for me because I felt like she wasn't really teaching. She was just giving us basic information about whatever stats topic and then we would have to put it to work in R and on our worksheets. I understand what she was trying to do with the whole group learning thing but I feel like it actually hindered my learning. I think the group situation allows people to slide by and not actually learn the material because we can just rely on others in our group to keep us afloat. I wasn't the only one who was lost in my group but we all sort of did what we could to get the work done. I think the class was curved at the end of it all because people were struggling. She also offered extra credit. If I remember correctly, I think it was .5% for reading an entire book and writing a 3 page summary or reflection on it. I definitely didn't think that was worth it. Overall, I had a bad time in this class but I survived. Unless Hartman changes the way she runs her class, I'd recommend a different professor.
Overall Rating 3.3
Easiness 2.6/ 5
Clarity 3.2/ 5
Workload 2.4/ 5
Helpfulness 3.6/ 5
Most Helpful Review
Winter 2018 - If you are planning to take Political Science 6 with Chad Hazelett you should be prepared for a bumpy ride. The class is billed as a intro to data analysis for political science majors but the class has elements that incorporate aspects of computer science, and coding. For the class you are required to learn R as that is the main program for which you analyze and transform data. For most north campus majors, learning how to code is like a starting to learn a new langague which you can only learn by practice. However Professor Hazelett only gives you two and a half class days to really get acquainted with R, and most of the learning is done by readings and solo/ group work. Professor Hazelett does not really lecture, believing that it is better for students to learn by active learning and groups. This means that if you are expecting lecture to clear up any questions about the R readings which you need to complete before class you are going to be disappointed. It is very easy to get lost by the second day of class because of how confusing it is to learn R plus the weird format the class is structured. In addition, starting with week two, you are placed in groups, and if you have peers that are lazy or equally lost in the course, you will get a poor grade. Overall Hazelett seems like a nice guy, and the TAs seem to try their best, but the class requires students to basically master R by midway Week 2, is absurd. The later parts of the class are more or less like a statistics class but if you don’t understand R you will not get a good grade. If you are expecting an easy class for your math/ stats requirement you should take Stats 10 , because this class expects you to becoming a competent coding student, even though most of its students are social sciences/ humanities majors.
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