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Thomas Maierhofer
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Based on 40 Users
STATS 10 is a good option for a science GE (and a tolerable prerequisite course), and Professor Maierhofer is a decent professor for it. This class will be a cakewalk content-wise if you took AP Stats. The only content that is not a retread of AP Stats is coding labs done in section, except the TAs do almost the entire lab in front of you, so it's basically impossible to mess up. Professor Maierhofer's lectures do an okay job explaining these concepts. He talks fast and can be a bit disorganized at times, but he does include some neat features like Kahoot practice questions. All lectures are recorded, but I would recommend attending lectures in person to do the Kahoots, as the winner of each lecture's Kahoot gets one percentage point added to their overall grade (maximum of five wins/five points). These points can be very valuable in helping your grade, as this class is mostly based on the midterm and final.
Coding labs (there are four, and they're all done in discussion section) are worth 10% of the grade, as are homework assignments (usually about five easy, fairly short free response questions out of the textbook) and practice multiple-choice quizzes with unlimited retakes. These assignments are all essentially free points. However, the remaining 70% of the grade is divided evenly between the midterm and final, both of which are between 30-35 multiple-choice questions. Essentially, every question on these exams is worth 1% of your grade, so you need to do well to get a good grade. Fortunately, aside from a couple of curveballs, they're quite easy and similar to the practice quiz questions. Study the practice quizzes, practice midterm/final, and review Kahoot questions to succeed. You also get a cheat sheet for these exams, so fill it with everything (especially formulas) you may forget.
A couple additional notes: First, there's a very easy one-percentage-point bonus assignment at the end of the quarter which boosts your overall grade by one percentage point. Second, don't buy the textbook. It rehashes lecture material, and the textbook homework problems are posted on BruinLearn, removing any need to consult the textbook unless you're really lost. Technically, you're supposed to read the textbook, but I didn't and don't think I missed out on any important information.
Overall, I recommend taking this class with Professor Maierhofer, especially if you've taken AP Stats and/or excel at multiple-choice tests. Take advantage of the extra credit and your cheat sheet and you should painlessly receive a high grade without too much work outside of class.
This class is an intro class so definitely on the easier side, but it is important to stay on track with assignments and labs, and avoid falling behind as much as possible because catching up is a lot of work. If you stay on top of course materials, this class should be okay for you!
Very easy class concept-wise but I would add a BEWARE. I took AP Stats before, had an A+ the entire time, loved stats, but this class was just structured a little differently. The class was relatively simple albeit a bit boring. The labs required coding which was confusing to newer coders but if you have a good TA (I had Klauss - ABSOLUTE goat) - it was definitely doable. The 8am lecture is definitely a bit dull; if you do take the class with Maierhofer, I would HIGHLY recommend taking advantage of the extra credit points and try to get top on the Kahoot so you could get those generous extra credit points. As one can see, the grading distribution is a bit discouraging; Maierhofer does not round (I think I had a 89.54 and he would not round up), and the grades aren't curved. It was a bit frustrating because the exams were out of about 32 points, so even if you get a couple questions wrong you're kinda screwed out of an A. Overall, take this class but be proactive and be wary for sure.
Easy class! Tests are MCQ and very similar to the Practice ones he gives. Go for all the discussions to make sure you do well in your labs. He also has an extra credit assignment at the end of the quarter which is very helpful. Definitely take this class if it's available.
I only recently found out this is only his first year teaching stats as a professor which honestly shocked me, because Professor Maierhofer's lectures are super organized and easy to follow. To be honest, the assigned readings weren't necessary prior to coming to class (or at all tbh), but they were good for previewing the lecture content and reading whenever I needed more clarification. There were assigned hw quizzes, 2 each week which were meant to be completed before each lecture, but the due date was Friday midnight (you can redo it as many times as you want so guaranteed 100.) He also records his lectures separately, but I found his class easier to follow in-person. The recordings are fine, but a little bland and hard to pay attention to. I'd never taken stats before and have very little coding experience, and didn't feel like I was ever struggling or falling behind. There were also several extra credit opportunities, and I feel like so long as you put the necessary work into it, you should get a good grade.
Maierhofer is a great professor! Very helpful, kind teacher that made me feel welcome asking questions. His daily Kahoot questions in class kept me engaged while not feeling too high-stakes, and despite having an 8am, it was worth it. My one suggestion is that sometimes we run out of time during class to finish the slides/lecture, which we end up having to cover at the beginning of the next lecture.
Professor Maierhofer is a very engaging lecturer who always delivers material, which can sometimes be challenging, in a clear and concise manner. He has a great understanding of statistics and is also very kind to his students, always encouraging them to come to office hours and seek help if needed. He is a great communicator and I loved the layout of his BruinLearn page, which allows students to ask questions on the class discussion board. The homework assignments and exams for this class were fair and an accurate portrayal of the content we learned during class. Despite not being a stats or math person, I absolutely loved taking this professor and I would absolutely recommend his class to anyone looking to fulfill the Stats 10 requirement.
I took this class because it was a prereq to my major and it was alright. Maeirhofer is a pretty average teacher, he is a boring lecturer but good at responding to his emails and seemed receptive to the needs of the class which was nice. The coding was hard because it wasn’t discussed in lecture, only section and my TA was not a very good teacher. Avoid having Zhi Zhang as your TA if you can, sections were completely useless and frustrating with him. On the bright side, the labs are very easy to find on the internet and copy. But, if you are going into a major that uses more coding, you will want to actually learn it, not just copy it and you should make sure to get a good TA. The lectures, homeworks, and quizzes are all very easy but the midterm was a lot harder than these things, which I felt unprepared for and did poorly on, even after acing all other aspects of the class so watch out for that. You are allowed cheat sheets for midterm and final but don’t get too comfortable with that, the midterm was hard. Also I didn’t mind at all taking it at 8am because all lectures are recorded and I could skip as much as I wanted without falling behind.
Professor Maierhofer was great – super clear, helpful, and prepared interesting and engaging lectures (with Kahoots for bonus points on the final grade). Exams were very manageable, and the homework and labs were straightforward. Would highly recommend this class.
This class is almost identical to AP stats but with a bit of R programming on top. The tests shouldn't be too bad as long as you do all the quizzes and make sure you understand the content on them (its really easy not to since they have infinite attempts). The labs aren't really relevant to the tests and the TA's give out the answers to them in discussion and the hws are really easy. I know it sounds like a lot of work but it's really not. I thought the class was pretty easy overall.
STATS 10 is a good option for a science GE (and a tolerable prerequisite course), and Professor Maierhofer is a decent professor for it. This class will be a cakewalk content-wise if you took AP Stats. The only content that is not a retread of AP Stats is coding labs done in section, except the TAs do almost the entire lab in front of you, so it's basically impossible to mess up. Professor Maierhofer's lectures do an okay job explaining these concepts. He talks fast and can be a bit disorganized at times, but he does include some neat features like Kahoot practice questions. All lectures are recorded, but I would recommend attending lectures in person to do the Kahoots, as the winner of each lecture's Kahoot gets one percentage point added to their overall grade (maximum of five wins/five points). These points can be very valuable in helping your grade, as this class is mostly based on the midterm and final.
Coding labs (there are four, and they're all done in discussion section) are worth 10% of the grade, as are homework assignments (usually about five easy, fairly short free response questions out of the textbook) and practice multiple-choice quizzes with unlimited retakes. These assignments are all essentially free points. However, the remaining 70% of the grade is divided evenly between the midterm and final, both of which are between 30-35 multiple-choice questions. Essentially, every question on these exams is worth 1% of your grade, so you need to do well to get a good grade. Fortunately, aside from a couple of curveballs, they're quite easy and similar to the practice quiz questions. Study the practice quizzes, practice midterm/final, and review Kahoot questions to succeed. You also get a cheat sheet for these exams, so fill it with everything (especially formulas) you may forget.
A couple additional notes: First, there's a very easy one-percentage-point bonus assignment at the end of the quarter which boosts your overall grade by one percentage point. Second, don't buy the textbook. It rehashes lecture material, and the textbook homework problems are posted on BruinLearn, removing any need to consult the textbook unless you're really lost. Technically, you're supposed to read the textbook, but I didn't and don't think I missed out on any important information.
Overall, I recommend taking this class with Professor Maierhofer, especially if you've taken AP Stats and/or excel at multiple-choice tests. Take advantage of the extra credit and your cheat sheet and you should painlessly receive a high grade without too much work outside of class.
This class is an intro class so definitely on the easier side, but it is important to stay on track with assignments and labs, and avoid falling behind as much as possible because catching up is a lot of work. If you stay on top of course materials, this class should be okay for you!
Very easy class concept-wise but I would add a BEWARE. I took AP Stats before, had an A+ the entire time, loved stats, but this class was just structured a little differently. The class was relatively simple albeit a bit boring. The labs required coding which was confusing to newer coders but if you have a good TA (I had Klauss - ABSOLUTE goat) - it was definitely doable. The 8am lecture is definitely a bit dull; if you do take the class with Maierhofer, I would HIGHLY recommend taking advantage of the extra credit points and try to get top on the Kahoot so you could get those generous extra credit points. As one can see, the grading distribution is a bit discouraging; Maierhofer does not round (I think I had a 89.54 and he would not round up), and the grades aren't curved. It was a bit frustrating because the exams were out of about 32 points, so even if you get a couple questions wrong you're kinda screwed out of an A. Overall, take this class but be proactive and be wary for sure.
Easy class! Tests are MCQ and very similar to the Practice ones he gives. Go for all the discussions to make sure you do well in your labs. He also has an extra credit assignment at the end of the quarter which is very helpful. Definitely take this class if it's available.
I only recently found out this is only his first year teaching stats as a professor which honestly shocked me, because Professor Maierhofer's lectures are super organized and easy to follow. To be honest, the assigned readings weren't necessary prior to coming to class (or at all tbh), but they were good for previewing the lecture content and reading whenever I needed more clarification. There were assigned hw quizzes, 2 each week which were meant to be completed before each lecture, but the due date was Friday midnight (you can redo it as many times as you want so guaranteed 100.) He also records his lectures separately, but I found his class easier to follow in-person. The recordings are fine, but a little bland and hard to pay attention to. I'd never taken stats before and have very little coding experience, and didn't feel like I was ever struggling or falling behind. There were also several extra credit opportunities, and I feel like so long as you put the necessary work into it, you should get a good grade.
Maierhofer is a great professor! Very helpful, kind teacher that made me feel welcome asking questions. His daily Kahoot questions in class kept me engaged while not feeling too high-stakes, and despite having an 8am, it was worth it. My one suggestion is that sometimes we run out of time during class to finish the slides/lecture, which we end up having to cover at the beginning of the next lecture.
Professor Maierhofer is a very engaging lecturer who always delivers material, which can sometimes be challenging, in a clear and concise manner. He has a great understanding of statistics and is also very kind to his students, always encouraging them to come to office hours and seek help if needed. He is a great communicator and I loved the layout of his BruinLearn page, which allows students to ask questions on the class discussion board. The homework assignments and exams for this class were fair and an accurate portrayal of the content we learned during class. Despite not being a stats or math person, I absolutely loved taking this professor and I would absolutely recommend his class to anyone looking to fulfill the Stats 10 requirement.
I took this class because it was a prereq to my major and it was alright. Maeirhofer is a pretty average teacher, he is a boring lecturer but good at responding to his emails and seemed receptive to the needs of the class which was nice. The coding was hard because it wasn’t discussed in lecture, only section and my TA was not a very good teacher. Avoid having Zhi Zhang as your TA if you can, sections were completely useless and frustrating with him. On the bright side, the labs are very easy to find on the internet and copy. But, if you are going into a major that uses more coding, you will want to actually learn it, not just copy it and you should make sure to get a good TA. The lectures, homeworks, and quizzes are all very easy but the midterm was a lot harder than these things, which I felt unprepared for and did poorly on, even after acing all other aspects of the class so watch out for that. You are allowed cheat sheets for midterm and final but don’t get too comfortable with that, the midterm was hard. Also I didn’t mind at all taking it at 8am because all lectures are recorded and I could skip as much as I wanted without falling behind.
Professor Maierhofer was great – super clear, helpful, and prepared interesting and engaging lectures (with Kahoots for bonus points on the final grade). Exams were very manageable, and the homework and labs were straightforward. Would highly recommend this class.
This class is almost identical to AP stats but with a bit of R programming on top. The tests shouldn't be too bad as long as you do all the quizzes and make sure you understand the content on them (its really easy not to since they have infinite attempts). The labs aren't really relevant to the tests and the TA's give out the answers to them in discussion and the hws are really easy. I know it sounds like a lot of work but it's really not. I thought the class was pretty easy overall.