2.8
Quality3.3
Difficulty34%
Would Retake117
Reviews34%
Would Retake
117
Reviews
Rating DistributionOfficial
117 total ratings5
27
4
18
3
15
2
18
1
38
What Students Say
“Homework and tests are graded very very specifically”
STA199 - 1.0 rating“Mine unnecessarily cuts points off labs and hw”
STA199L - 2.0 ratingClass Info
Online Classes
100%
Attendance Mandatory
70%
Textbook Required
29%
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A-
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-1.67 avg changeRatings by Course
COS126
5.0
(1)STA313L
4.5
(2)STAT101
4.1
(10)STA112FS
4.0
(4)COURSERA2015
4.0
(1)Difficulty by Course
COURSERA2020
4.5
COURSERA2015
4.0
STA210
4.0
STATS101
3.7
STA112FS
3.5
Reviews (116)
Ã?etinkaya-Rundel is a good professor. Definitely need to be on top of your work if you want to do well in the class though. There are homework and quizzes every week and the hw is time consuming. There're clicker questions for every lecture so attendance is basically mandatory. She's very helpful outside of class and respond to emails fast.
The best professor I have had at Duke! She is very good at what she does, and unlike other professors, who do not have the "best" teaching skills, she takes you through the course as easily as a HS course! I knew NOTHING about Stats going in, but now it's something I'd consider minoring in. If you do the (easy) work, you'll do great!
SO much work for such a big lecture--homework, labs, and quizzes every week. Also clicker questions in class so attendance is mandatory. She is accessible outside of class. Moves quickly through lectures so many get left behind. She tries but the class is hard and a lot more work than expected
Not a good lecturer and sometimes unclear in examples and explanations. Homework took a long time and tests were harder than practice problems. There is also a final group project.
I had no prior statistics experience, so this class was more challenging than it should be. The curve is skewed since there will be a lot of students who've taken AP stats in the past. Rundel is very patient and clear. If you're not interested in the class, you simply won't get the grade you want. Stay on top of the work or risk falling behind.
She's awesome!
Clear but demanding. Meet with her in office hours. Uses a good, free textbook that she co-wrote. You must attend class because of quizzes. Hard but fair.
Expectations are EXTREMELY unclear. The grading is so arbitrary. The material is easy enough to get an A easily, but since standards are really unclear you shouldn't expect anything out of this course. I would avoid taking this class.
Professor Rundel is articulate, engaging, and knowledgeable, and is prompt at answering questions posted on the class forum. However, for some assignments, her expectations were not clear until the assignments were returned to us, graded. I would advise students to play it safe--ask when there is any uncertainty about expectations.
Her class in incredible well-organized and she is a great professor. She tries very hard to make sure that you completely understand a topic before moving on. The class has a lot of busy work, though-- there are online quizzes, in-class quizzes, labs, and projects, which can get annoying. She's an awesome professor though.
Her course is really well organized. She has made impressive materials to teach her class.
If you have to take Stats 101, take it with Mine! She is super helpful and really tries her absolute hardest to help you. That being said, this is a tough class with a lot of busy work assignments and a ton of group work. Avoid it if you can, but you usually can't.
She is one of the best professors I had at Duke. Even though the class is huge and she will try and take the time to remember you. She is extremely helpful and the class is extremely well organized. I was skeptical before taking this class because I hate math, but she made me like it. All her tests and exams are reasonable.
I loved Dr. Rundel's Data ScienceFocus class and I highly recommend it to anyone in the What If? Focus cluster. Although she doesn't hand back assignments in a really timely manner (she's extremely busy so this is not that surprising), she is a GREAT teacher and is always very clear with the way she presents the material and is always accessible.
Thanks prof for being so natural and so comfortable with the course. Anyone can follow and enjoy your course
She's a great professor and really cares about her students. The class is a little difficult but she's always willing to help.
No access to the professor in Coursera. The lectures are missing subject matter discussed on the quizzesexams. R studio used, but no comprehensive introduction to how to use it. Reading textexercises stated as optional, but actually mandatory. Not an intro to statistics as described. Most students have taken stats. Discussion forum is useless.
Problem set grading was tough and took a long time to get returned. Like after the test returned which wasn't very nice because it was like hey guess what else you didn't know for the test! ha! Tests were for the most part straightforward with some more obscure multiple choice questions. ALOT of work and assignment so it is kind of stressful.
Mine spends office hours to help you and she cares if your group isn't collaborating well, but still hope her tests could be more reasonable and the grading more human. Honestly Mine tries to make herself accessible. Appreciated. But can never like this class. Don't understand the point of a prof crashing students' gpa. Really don't uderstand
Very nice prof
Dr. Cetinkaya-Rundel expects a lot and the class will take over most of your time in the semester. That being said, if you screw up on one component, it will not break your grade (unlike in most other classes). She is extremely knowledgeable and a great teacher. While her lectures may be redundant at some times, it has been a good experience.
Mine is super organized, good at explaining the material, and makes herself open to feedback. Your team makes up a lot of your experience in this class but Mine makes an effort to help teams that are struggling. Most people take this class as a social science major req. (pubpol) so if you have to take it definitely take it with Mine.
Great professor! But class requires a lot of time outside of it. Take stat101 with Mine if you want a good teacher.
Great lecturer, two thumbs up. Very clear and detailed approach. Definitely is one of the best lecturers in data analysis. But be prepared to study hard.
Tough but great. Made stats super interesting and made sure we understood stats by the end.
She is a hardworking instructor who cares about her student very much. BUT way too much unnecessary work!!!
Really interesting course - great for those interested in coding/statistics/data science. The assignments and material were extremely interesting, but the course takes up a lot of time - expect to spend many hours on assignments if you really want to do well. Expect to use R frequently and do a lot of group work. Attend office hours - very helpful!
I like the content of her course. The information are well presented with a lot of very good graphs and nice presentation. I highly am not interested in her character. She is propagandaic and tries to bring all of her belief into statistics. She actually made me think that statistics is more of a tool for people to prove their sad/bad intention.
Mine unnecessarily cuts points off labs and hw. Don't be surprised if you get everything right but haven't made the fig sizes good or have more than 80 ch of code per line. The problem is we're not told what we should be doing to get all the points - no one tells us till AFTER it's too late. Getting answers to questions right is just not enough.
Homework and tests are graded very very specifically. You can get the answer correct but more than half points off for something aesthetic/subjective. Good chunk of grade is participation even though class is an 80 person lecture. Class has no CS prereqs but class very difficult w/o previous CS experience. Very infuriating class overall.
Was a decent introduction into data science - class was essentially coding in R. Boring lectures, although I imagine stats is probly pretty hard to teach in interesting way - material was basic and repetitive. TONS of homework just cause you run into bugs when coding - she's accessible anytime on Slack but can't always help so find friends in class
Class had a lot of work and Mine is a tough grader, but overall the content is really interesting if you enjoy statistics or computer science.
Poorly explains concepts; either rushes through or explains same thing over. Assignments were mostly useless in terms of the content. The coursera specialization is called Statistics with R. If you don't already know R (even though it's for beginners) you'll have a tough time. She doesn't teach how to use it, only poorly explains stats concepts
The course wasn't structured in a way conducive to learning. The professor doesn't explain things clearly. There are a lot of examples which is good- but she jumps between each example quickly and doesn't do enough general explaining to get at the bigger picture. She also doesn't define key terms, she only explains them with examples.
I really didn't enjoy her class; lots of points were deducted for simply not having the correct vocabulary/wording, even if the response itself was correct. Her lectures are incredibly boring and unhelpful. You're better off milking office hours and finding which TAs are helpful. She might be accessible, but she is also unclear in explanation.
She grades extremely harshly and will take off points even if your answer is entirely correct if you're missing a certain term. Directions are vague. A large part of the grade is based on a group project with little instruction. Not easy if you don't have experience coding.
I had no coding experience before this class, and I don't think that hurt my performance. Attendance is not mandatory, but lectures help a lot. Prof. Mine is very knowledgeable and accessible, so take advantage of that. However, the group project in this class is an absolute nightmare; very poor instructions and unclear grading criteria.
This is one of the best courses in Statistics at Duke. Mine's lectures include a lot of interactive activities that make it easy to remain engaged, and most people in the class were pretty much pros at data visualization in R by the end of the semester. Homework is heavy and graded strictly but really helps you learn the material.
Lecture and teaching style isn't easy to follow. Exams are hard and don't include things gone over in class. Really harsh grader.
Professor definitely knows what she's talking about but doesn't do a great job of helping students. Don't take this class if you don't want to code. She promised at the beginning of the year that work would not be code-heavy when the majority of assignments and tests requires coding knowledge.
Mine is not the professor you want for an intro to stats course. The work is confusing and the grading is EXTREMELY HARSH. Be prepared to lose marks that make no sense and then not get an explanation or a chance to call out the grading boundaries. Your success will also depend heavily on your TAs as well, and a bad TA can tank your grade.
dont do it, the grades are really hard and the content is mad confusing. mine does not help much either and is not open to criticism.
Mine is very knowledgable but poor at explaining. The class is lecture heavy and graded on exams, projects, and labs. The labs are harshly graded; the exams are nopt reflective of lecture material. The projects are fairly easy. It was a poor introduction to stats because of the organization of the class and definitely not an easy A.
I did not know classes could get this boring. It was tumor-inducingly boring to the extent that I could not sit through the whole lecture. Unnecessary amount of work for an introductory class that 99% of people take for general requirements and general requirements only
I highly recommend taking a different intro stats course. Mine was so rude, unapproachable, and unfair when it came to grading and generally treating her students like people. Unnecessarily difficult course for an intro class. The content is also very coding-heavy, which is not helpful for most majors/ actual stats knowledge
I would advise against taking STA101 with Dr. CR. The class only tests your ability to regurgitate code and properly-worded statements, so you don't develop any reasoning skills. The lectures are repetitive and the textbook is poorly organized and impossible to follow. Take 199 with another professor bc then at least the exams are take-home.
Don't take if you don't want to code. She promised the course would not be coding-heavy, but almost every assignment was coding-based. She was also VERY unapproachable and downright mean at times, especially when you needed help. She was accessible outside of class if she chose to respond to you though
313 is an awesome stats elective! It is my favorite stats class at Duke so far. Content is super interesting and helpful for every field. Learn more about ggplot, animation/art, and Shiny apps/Quarto dashboards. HW assignments are pretty lengthy and involved, but that's the only work in the class (no exams). Take for a fun and useful elective!
This course is not a hard class by any means, but the second half is significantly more involved and gets a bit more difficult. Her rubrics are consistently unclear and you will get points off for things you didn't know you had to do. The group project is awfully put together and has barely any instruction. Would not rec if you don't need.
Condescending responses, unclear grading, a horrible group project, and poorly worded tests are some of the treats you can expect! While the material is by no means hard, it seems like Mine overcomplicates work to increase difficulty and time needed for labs. She is sometimes nice and very accomplished, but I can't say I enjoyed the class at all...
The class was fairly hard (but manageable with friends) if you have NO background in coding, whereas the course material would be fine, if not easy with a background in coding. She is extremely condescending when answering questions, barely any instruction on group project + poorly worded in class exams - take with a diff professor if you have to!
Class is unfriendly to statistics newcomers. No clear criterion on grading for labs, making it difficult to succeed and demonstrate skill on a consistent basis. Poor instructions for group project and little feedback on exams. Office hours are your friend, but avoid this class if possible.
i don't think she's that bad, class was p doable as someone who had no coding experience. takes points off for stupid things, but go to OH and ask Qs in lab, never got less than 48/50 after that. make sure you understand lecture + watch videos, and you'll be set for exams. group proj is vague and there's no guidance, so do well on test and lab.
Mine's lectures were helpful when learning the types of codes. However, the labs were difficult to complete in full without the help of the TA's and friends in the class. Mine was accessible outside of class but gave relatively surface-level advice on how to succeed. Tests were hard, but if you study you should be fine.
Mine is an expert at scaffolding and exemplifying topics clearly. Lectures are very straightforward. Show up to lab and lectures and you will have no issue in class, regardless of coding background. Group project grading is a bit unclear; more weeks should be given to project. Mine answers questions readily, especially on Edstem. Knows her stuff!
TAs LOVE to dock points for insignifigant things on labs and exams. Grading criteria is often very unclear. Mine is an engaging lecturer.
Mine is very knowledgeable and good at helping students outside of class and is a decent lecturer. The course is structured poorly and grading criteria can be unclear, especially for the final project. It was hard to figure out what was acceptable for the final project and though it went well, it was not a fun experience. Don't avoid, but be ready.
Good introduction to using Rstudio for coding. Most of the course is just learning how to make graphs. If you are interested in learning the code behind making graphs, then take this course. If not, don't.
For people taking it as a requirement: good luck. For people with interest/background: you'll be fine. I fall into the first camp with zero coding experience and being bad at stem. Horrific experience. Lectures don't make sense, labs take forever, tests are hard. Often found myself lost and frustrated, dreaded this class every week.
not caring, genuinely the worst experience I have ever had. Will not be pursuing statistics. PLEASE heed this warning and pursue literally anything else.
Really boring lectures, and they are very picky on tiny details in lab assignments.
This is my senior year, and this if by far the worst professor I had at Duke -- I overloaded a bunch my first two years, so I have had a fair share of bad professors already. She is the most condescending person I know, and she is very rude even when students ask genuine questions. She'll find a way to make you feel bad for being curious in class.
One of the worst teachers at Duke. She's the type of teacher who pretends to care but quite literally couldn't care less. Extremely condescending and hurtful. Not that great of a teacher and honestly not that great of a person. You could be the most knowledgable person but does not make you a teacher. That takes genuine kindness & compassion :(
no words. awful experience.
Despite extensive stats experience, Mine fails at the most basic parts of being a professor: unengaging "engaging" lectures, condescending/accusatory responses to any student questions, longer than necessary labs, unclear grading criteria for labs and the group final project, and unfair grading TA-by-TA basis. Glad there is a new professor for S25.
Do not take this class! While the content covered isn't conceptually very difficult, assignments (labs) are graded very harshly, and the lectures are extremely boring. I would definitely recommend taking something else or skipping this class altogether if possible.
Mine is a horrible professor. She will not answer direct questions students have. The class does not actually teach statistics. Instead, you regurgitate code for 25 page labs while having to worry about an in-person final and in-person midterm which she gives no good practice for. This is a horrible intro to stats for any student interested.
Amazing! Best Class
She is actually one of the worst professors I've ever had the misfortune of having> although her lectures are meaningful and class time makes sense, the whole basis of this class is just copy and pasting code and even if you do that, you'll still lose points on the EXTREMELY arbitrary lab grading policies. Please just avoid this class.
She is actually so horrible, no empathy, and the content is supposed to be easy but her grading overcomplicates the statistics class and teaches it like its for stats majors. The class is copy paste code but youll never get full points because her rubrics are arbitrary. Just avoid, take Stats 102, premeds just avoid please.
Class aside, Mine is one of the most hostile and heartless people I have ever met. She consistently embarrasses students in front of the entire lecture, makes snarky comments, and places unfair expectations on everyone. I wouldn't let her babysit my kids, let alone be my professor. Frankly, she has no business teaching anyone.
I wish I could upload screenshots of the Ed Discussion. Mine responds fast on there, but seems to get a kick out of making a student feel stupid. The TAs are awesome. They try to pick up the slack Mine leaves. I had to take this as a STEM major and I wish I took anything else. Do not recommend at all. (TBH sometimes the labs were fun though)
Although the class was not the most interesting, she was a great instructor and had clear expectations.
Mine is very knowledgeable about the entirety of statistics and most of the people leaving bad reviews are quite frankly bad at statistics. She might be harsh at times but some people really do have bad questions. She teaches at a Duke standard and people hate it because they think 199 should be a free class. You can learn so much from Mine.
Brutal final week with a project that takes hours every day (with awful unclear instructions, no examples, and no clear grading rubric) and then a cumulative final exam with nearly zero study material or instruction.
This class is not an intro to statistics nor suitable for students with no coding experience. Lab grading is unclear, exams lack study guides, and the final project has a vague rubric with inconsistent TA guidance (this is not their fault). The instructor creates an unwelcoming environment by targeting late students. This course needs reevaluation.
Not a good teacher by any means. Lacks empathy and is condescending. Labs take long and the grading is so harsh. You're not really learning. No quality study material. Long story short, she's an expert, but some experts aren't meant to be teachers. I hope she reevaluates her behavior/class and Duke reevaluates her.
Mine is by far the most heartless, condescending, rude and irresponsible teacher at Duke. Please do not take this class. Labs are arbritrary, TAs are not on the same page, course lacks ANY type of guidance and Mine is overall just a horrible lecturer and has no empathy for anyone. You might think im saying this because of the grade but be warned.
It's unfortunate that an intro-level class causes so much stress. As a senior pre-med STEM major, I've found that at Duke, effort typically translates into grades I'm proud of. In this class, however, condescending remarks deter engagement, and unclear grading criteria for labs (worth 35%) add frustration, making the experience discouraging. Avoid!
Mine is a great and smart person. She is incredibly kind. Just beware of this class. Super hard and the lectures are unhelpful to doing well on the labs. The final and midterm are unfair and this class is just hard to do well in.
One of the easiest stat classes at Duke. Might not be the nicest, but it's good to weed out kids that should not be near another stats class.
Honestly all these bad reviews here aren't the real issue with sta199. Yes she can be a bit condescending, but who cares, take the high road. The real issue here is this class just doesn't teach stats. It's a coding class for R, plain and simple. Never learned central limit theorem or odds or t scores, threw in Conf Ints but no real interpretation.
Mine is by far the worst professor I have ever had in my academic career. She was extremely condescending and did not have a good learning environment. If you have little to no coding experience I highly advise you to stay away from this class and professor.
Very disappointed in this class. I was required to take this class for my major, and was genuinely interested in a field I knew nothing about. However, it met my expectations that I would end up hating stats largely because of the professor. I didn't learn a single thing about statistics and instead can now basically copy and paste r code.
Mine is fine, everyone here is butthurt. This course is very watered down for all of the humanities majors that need it for their major. Mine's lectures are not very engaging, but data science is not of interest to the majority of the class. The grading is all by TAs and seems overly subjective. Overall, the work is doable and the class is fine.
Seconding everyone else, plus she refuses to accept any reasonable new approaches to problems that's different than her own, and refuses to provide answers for labs or hand back the midterm as study material for the final without a reason. Don't think "it can't be that bad if the class itself is easy", that's what I did, and trust me I regret it.
The class wasn't too difficult, especially if you have any experience with coding or statistics. Mine was an okay professor but was sometimes a bit condescending to students. Labs were a big proportion of the grade and took a lot of time, but working with others was allowed. Easy midterm and final. Definitely more of an intro to coding than stats.
Mine is a good lecturer but can get less engaging near the end of the semester. Weekly labs take a lot of time but are doable if you've been paying attention. It's a bit of a learning curve if you've never coded before and this isn't your forte but doable with a little extra effort. If you do all the prep videos, you will be fine. Project inst
The class was fine. While labs and exams are unclear/harshly graded, you have multiple opportunities to do well and succeed. Mine is knowledgable, but unclear at times - going to office hours definitely helps. Do the work, go to lectures, and you'll be fine.
Mine was ok. Stat199 is brutal for those who don't have prior coding experience. TAs that grade your labs are extremely petty and WILL take off points for minuscule things. This class was apparently easier in previous semesters but became harder this time around. Group project is a double-edged sword- it will either make or break your grade.
Mine was completely incapable of managing an intro level course. She clearly is an expert, but has trouble bestowing her knowledge on others. The class itself shouldn't be too difficult, but she is boring and borderline insufferable during lecture, while also being rude and short during office hours and when asked for help.
Professor Çetinkaya-Rundel is a smart statistician, but this class lacked clarity in grading and content explanation. We were assigned a large group project with little guidance throughout, and our labs were graded harshly, with petty points taken off.
Apparently, Mine course has become more difficult this semester, but the course itself can't be that bad. It's a typical intro level course, with no prior stats background knowledge assumed. Mine is passionate about R (she worked in R studio) but I def did not enjoy having to do almost 20-page labs weekly. The grading can be pretty harsh.
IF YOU ARE PREMED TAKE STAT101 INSTEAD! While Mine is very kind, she is not a good lecturer. The short practice exam we were given as a study aid for the midterm and the final were not representative of the material tested. Labs were very harshly and arbitrarily graded. The project at the end of the class took an excessive amount of time.
Instead of building basic statistical intuition, Mine focuses on teaching statistics 'the right way', leading to a course that math/stats majors find easy and others find confusing. Unclear assignment grading and limited exam study materials do not help either. Median grades: Labs: Ranged from 91% to 97% Midterm: 91% Project: 94.5% Final: 88%
It's a great intro class to get to know R and simple data applications. The lecture style is helpful, with frequent examples. Labs have very nitpicky grading and tend to be fairly long, but they form the backbone of the course and you'll learn a lot. Just be aware, it's literally all coding.
Great class, lectures and labs very well thought out.
Unless you are a stats major STAT101 is unnecessarily challenging. You only have 2 tests that count for most of your grade and the final doesn't relate much to what we've covered. She instructs the lab TA's to grade super harshly also.
This class was hard for no reason. TA's were not helpful and what we learned in class was not what was on the tests.
The content of the class is pretty easy, its basically just an intro into coding with r, but the professor more or less just repeats her videos.
Horrible Horrible
I honestly think she's overhated -- I will admit that she can make petty comments and that lab grading can be subjective, but it's 100% possible to do well in the class. Mine responds to Ed questions promptly and lets students have a cheat sheet for in-class exams. My one major complaint is the group project (very annoying if you have a bad group)
Mine is very knowledgeable in her field, but this class was very disorganized. Getting feedback from the TAs on labs normally took quite some time and made it difficult to apply any feedback given before doing the next assignment. Office hours were normally packed as well which made it difficult to get any help. Avoid this class if you can.
I don't understand the low rating, was my easiest class this semester. Only need to spend 3-4 hrs/week to get a good grade. Mine is caring and serious about teaching too.
Taking STA 199 for my major requirements, was worried initially looking at her ratings, but Mine is great in my opinion! She provides adequate resources for the material she teaches in class, her in class coding exercises are very useful and are representative of the exams. Labs, homework, and project were reasonable! She is also very active on Ed!
The class was not too hard if you have a little bit of coding background. Lectures were the exact same as the videos and readings she had us do before class and were extremely boring. Homework and any coding assignments were graded a little harshly with unclear guidelines, it was hard to know what they wanted. Not as bad as most reviews say.
Don't fully understand the dislike she gets. If you're interested in R or coding and have little to no experience this is a great class, the guidelines are clear and work is very well organized. If you do the pre-class readings and videos you will have no issues keeping up, and definitely go to office hours if you have questions.
Load heavy. Passionate about her area, yet not a good lecturer. Don't expect to get full marks in any of her assignments. She's being really harsh on HWs and Projects. Meanwhile, exams are hard. The content is easy. But she's just trying to make it as hard as possible, such as asking you questions that weren't really useful.
super overhated!! fantastic lecturer whos genuinely passionate about stats. gives sm material to prep for exams which are similar to the practice ones and not bad. we never got hw or lab rubrics, so grading wasn't great, but there were drops and the project was nitpicky, but getting feedback can help get a good grade. serious but amazing overall
STA 199 is not that bad! As long as you go to the lectures and do homework (actually understand how it works), an A is very, very attainable. The group project and lab are a bit demanding in terms of collaborations. I would recommend taking this class with people you know. Mine is over-hated too. She has done a great job curating online resources.
this class was super chill! mine is very overhated in my opinion- the class really is not that bad. it's just generic intro stats with R coding. there's weekly homeworks which are a bit tedious but not that hard, as well as an intensive final project. lectures are engaging with a live coding component. she's locked in & knows her stuff.
Don't be discouraged by the bad reviews cuz they're mostly for STA 101. Mine is definitely overhated! She's pretty chill and accessible online. Her lectures can be repetitive and similar to weekly videos, but most things are not difficult, besides homeworks which are more tedious than hard. Had no coding experience and was fine this whole semester
I can get why people may not like Mine as a professor because the lectures and labs may not be everyone's learning style. However, Mine is not a bad professor. She provides videos and the textbook which are extremely useful. You need to attend a certain amount of lectures, but there is flexibility. If you pay attention and take notes, you'll pass.
She is exceptional at statistics, but nothing learned in lecture actually translates to homework or exams. Her grading is extremely harsh, and often she will not give productive feedback until after the deadline. Her pre-lecture videos are helpful, but this class is quite time-intensive if you are taking it for a requirement as a non-stats major.
She was kind and excited to talk about Stats!! Don't worry! Going to her OH helps for project. Grading and code style is specific. Make sure to watch Prepare & review AE to see what she expects. Start HW early. Highly recommend the AI grader! It's not always right but great for understanding the rubric. I ran it a few times on each question.
Maybe it is because she massively improved her grading policy this year, but Professor Çetinkaya-Rundel does NOT deserve such a low rating! She is a very caring professor that is easily accessible outside of class, and most of the students I know ace the tests effortlessly. Her rubric for programming assignments is a little confusing occasionally.
Class Info
Online Classes
100%
Attendance Mandatory
70%
Textbook Required
29%
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-1.67 avg changeRatings by Course
COS126
5.0
(1)STA313L
4.5
(2)STAT101
4.1
(10)STA112FS
4.0
(4)COURSERA2015
4.0
(1)Difficulty by Course
COURSERA2020
4.5
COURSERA2015
4.0
STA210
4.0
STATS101
3.7
STA112FS
3.5