Professor
Chad Hazlett
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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.
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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