STATS 112
Statistical Methods for Social Sciences
Description: Lecture, three hours; discussion, one hour; laboratory, one hour. Requisite: course 10. Limited to juniors/seniors. Statistical methods in social sciences, including regression, multivariate techniques, logistic regression, and data-handling and analysis. Applications to social sciences, using professional statistical analysis software package for data analysis. Letter grading.
Units: 5.0
Units: 5.0
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Most Helpful Review
This guy cares about his students. In his lectures he sticks strictly to his elaborate powerpoint slides. He posts those online. I never looked them over before going to lecture so I never knew what the big paragraphs said because I was busy trying not to fall asleep. Don't get me wrong, this guy knows what he is talking about and he will answer all your questions. My personal opinion is that his lectures were not effective. My learning style might just not be compatible with his method of teaching. Great class. You'll learn a lot.
This guy cares about his students. In his lectures he sticks strictly to his elaborate powerpoint slides. He posts those online. I never looked them over before going to lecture so I never knew what the big paragraphs said because I was busy trying not to fall asleep. Don't get me wrong, this guy knows what he is talking about and he will answer all your questions. My personal opinion is that his lectures were not effective. My learning style might just not be compatible with his method of teaching. Great class. You'll learn a lot.
Most Helpful Review
Fall 2018 - Grading breakdown: (15%) Four group homeworks & five labs (10%) Four reaction papers (2.5%) Evaluation by group member (individual grade) (2.5%) Lecture attendance when we have guest speaker (individual grade) (25%) Midterm (45%) Final exam The only pre-req for this course is STATS10, but if you take this class as a stats major, you will be assigned to Stats major homework group where you will be asked to do STATS101A~101C materials (up to interaction effects & random forests stuff for classification method). This class is so weired that different homework questions are assigned between non-stats and stats but all students take same midterm/final. When it comes to her teaching, she is not able to explain basic statistics concepts in a proper manner. I would be far behind and end up dropping this class if I were not a stats major. EVERY SINGLE her notes and slides has typos as well as her massive amount of emails. Students are actually taught by the TA, Narek. He teaches us pretty well though. Overall, I would not recommend this class at all. Whole quarter has been stressful to me because of two different reaction paper & homework assignment groups whose members reply my messages when homeworks are due + worst instructor who doesn't teach anything and keeps saying 'Do you understand me?'
Fall 2018 - Grading breakdown: (15%) Four group homeworks & five labs (10%) Four reaction papers (2.5%) Evaluation by group member (individual grade) (2.5%) Lecture attendance when we have guest speaker (individual grade) (25%) Midterm (45%) Final exam The only pre-req for this course is STATS10, but if you take this class as a stats major, you will be assigned to Stats major homework group where you will be asked to do STATS101A~101C materials (up to interaction effects & random forests stuff for classification method). This class is so weired that different homework questions are assigned between non-stats and stats but all students take same midterm/final. When it comes to her teaching, she is not able to explain basic statistics concepts in a proper manner. I would be far behind and end up dropping this class if I were not a stats major. EVERY SINGLE her notes and slides has typos as well as her massive amount of emails. Students are actually taught by the TA, Narek. He teaches us pretty well though. Overall, I would not recommend this class at all. Whole quarter has been stressful to me because of two different reaction paper & homework assignment groups whose members reply my messages when homeworks are due + worst instructor who doesn't teach anything and keeps saying 'Do you understand me?'
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Most Helpful Review
Professor Gould generally appears not to know what he is talking about if it deviates from his lecture plan; doesn't appear to communicate well with the TAs (i.e. doesn't know about where missing homeworks are or that they even went missing). He tries very hard, but never answers questions directly in class. I ask "How does this work?" or for further explanation, and his replies usually stem from "we'll discuss it later in lecture" but it never happens. The homework is very difficult and seems to have nothing to do with the exams. The homework is graded very nit-picky and is very problem-solving based. However the midterm exam was all theoretical and interpretation. There never is a clear standard given for correct interpretation, and everybody is always getting points marked off for having incorrect interpretations. The labs are easy, and the TAs help you through it. Stats 112 is a joke. Its basically the same concepts in elementary statistics except with "sociological" examples.
Professor Gould generally appears not to know what he is talking about if it deviates from his lecture plan; doesn't appear to communicate well with the TAs (i.e. doesn't know about where missing homeworks are or that they even went missing). He tries very hard, but never answers questions directly in class. I ask "How does this work?" or for further explanation, and his replies usually stem from "we'll discuss it later in lecture" but it never happens. The homework is very difficult and seems to have nothing to do with the exams. The homework is graded very nit-picky and is very problem-solving based. However the midterm exam was all theoretical and interpretation. There never is a clear standard given for correct interpretation, and everybody is always getting points marked off for having incorrect interpretations. The labs are easy, and the TAs help you through it. Stats 112 is a joke. Its basically the same concepts in elementary statistics except with "sociological" examples.
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