lectures were a very thorough, stream of conscious presentation of the material which was a helpful way of explaining things, but Frederik sometimes belabored points or explained things in roundabout ways that were less than clear

The lecture quality was exceptional. The content in which the instructed presented the subject matter stimulated my intellectual curiosity and contributed greatly to my knowledge of the subject matter.

Excellent lectures have been given by Prof. Simons, which offer a novel perspective for us on viewing inferential statistics and making the whole subject accessible and easy to apply to real research.

Generally good. Intersting content. A syllabus would have helped to see a roadmap for each class

Good – it was easy to get lost during the lectures. But overall the material was useful.

The lectures were of decent quality and were generally easy to follow.

One could tell the professor was very enthusiastic about the material and that made class fun to be in. Sometimes it was a bit difficult to keep up with notes.

The quality of the course was good, the professor is really nice and engaging. Lectures were hard to follow at times though because they moved pretty fast and not everyone was on the same level of understanding. Nonetheless, he's a great lecturer, but could explain things a little slower at times.

The lectures were a bit too fast paced for me. The xoom workshops helped me understand a bit, but I often left lecture confused and with a bunch of notes that didn't make much sense at the time. By the end of the year I think I understood most of the main concepts that we covered.

Interesting and different from my previous math classes

Very vague assignments and no clear example of what could/should be done to fully complete the assignment. At the end of the day, some of the problems were definitely interesting and show promise in applying the skills to real scenarios

The written work is inspiring and really helps us understand this course content.

Problem sets were useful to cement understanding.

I felt the problem sets were reasonable however they took a while to be graded.

The assignments themselves were pretty difficult. The professor did a great job of having in–class coding sessions to explain the homework, but if you didn't understand the course material or were confused about it, these assignments were very hard to complete or even approach. There was also a learning curve with MATLAB which made assignments a little more challenging. Once there was a firm enough understanding of the course material, the assignments were doable.

Problem sets were one of the best parts of this course. Very intriguing problems which made me learn about the course material even better.

Problem sets really helped me understand the material in the course and I felt well prepared to do them for most part.

Very effective guidance on the problem sets. Helpful review sessions, well written assignments, fast and clear responses to questions via email or after class.

a good introduction to the application of statistics to models

This should probably be a graduate course because it's not broad or fundamental enough for undergrads. The only unit that felt somewhat substantial was the inverse problems one, and that occupies only a specific niche

The overall quality of the course was exceptional. The virtual Matlab tutorial worked well in particular and perhaps earlier grading would improve the course.

This course gives students great opportunities to play with Matlab and explore the data and model, which is my favorite part. The instruction of what to do for students could be clearer so that students can arrange their time to finish the assignments.

Overall good for general interest. Not the most rigorous mathematically, but conceptually useful.

Very good – thing the assignments were interesting and lectures generally good.

I enjoyed the class, the only thing I could think of to improve the class would be to ensure the class can keep up with notes. Usually that occurred but not always.

The quality of the course is good. I know it's tough to slow down the material but sometimes it does everyone in the class well to explain the specific details (especially the mathematical theory that is referenced to develop statistical theory, which everyone had varying levels of familiarity with).

Course itself was as expected in terms of material taught.

I think that the pace of the course could be slightly slower, or lectures could be presented in a more concise and organized way.

Considering it tied a lot of information in from past classes like linear algebra and multivariable calculus, I think it would be helpful to use more terminology from those classes. For example it took me a long time to realize that what we were learning was just a kernal which I had learned in other classes and would have been able to pick up more quickly if that terminology was being used.

Have some level of coding and review prerequisites (math).

Interesting material, semi–learnable, overall enjoyable.

If you are interested in getting to the root of several important math tools, like the inversion model and Fourier transform, and seeking more insights to improve your understanding of them, this course would be excellent and definitely worth a try. Don't take it as a grab–and–go math course.

Worth taking, but not as a replacement for rigorous stats courses (though it isnt designed to be!)

Attend the lectures

It would be challenging to take this course without previous coding experience, ideally in matlab.

This is a good course for those trying to understand statistical meanings more.

This is definitely half statistics and half computer science course. The only GEO in this course comes in examples to explain course concepts and homework assignments, but the examples could be about anything and not GEO–related topics (this class is all about data & modeling). If you don't have a strong math/statistics background this course may be tough for you. However, if you take this course and put the work in it will be very rewarding. The professor is amazing and will answer questions and prioritize you and your learning experience over deadlines. You will also gain a firm understanding of MATLAB by the end if it is new to you. It's easy to fall behind, but if you put in the work this course is very rewarding.

'm assuming if a student is taking this course, they are in the GEO department. The course itself contains very important and helpful material. PSETs weren't too long and very helpful/interesting. Lectures were not the best, as many times I did not fully get what the professor was trying to tell us.

This course moves fast and I didn't understand most of it at first but it's not too much work and you collect a strong MATLAB library of tools for stats and data analysis.

very useful class. The professor is interesting and the TA is very nice.

To review your notes and read the optional reading suggested in the problem sets

Thought I was going to drop this course because it was my 6th for the semester, and didn't think it would count toward my degree progress anyway, but I was way too interested to drop. Because it was such a distinct choice to stay in it, wound up always considering the assignments as the extra, fun part of my academics that I got to do for my own self betterment! Was so engaged because the work didn't feel in any way like a chore/requirement of my studies. Frederik was so entertaining. Fel bad that we could not be as entertaining/involved as students over zoom, but his energy and positivity always brightened my day. The material was awesome – he did an amazing job of presenting topics from their most fundamental principles. The material was so practical, but felt so creative at the same time. Thought about the topics so much outside of class time, and have even already applied what I've learned to other courses.

Frederik is extremely knowledgeable and conveys a lot of information in his lectures. He was always happy to answer questions and go on tangents when asked to. These were interesting but occasionally confused the flow of the class so it was less clear which material was the most important. Frederik is hilarious and always got a few laughs from me in class and the virtual– chalkboard method was great to keep me engaged even through zoom! Calling on random students was at times stressful but also ensured you paid attention.

The lectures were interesting, though the online format is challenging for all courses and my attention span decreases online as opposed to in–person teaching. The professor was effective in getting students to contribute to discussion.

Frederik's notes from lecture are a work of art. I kind of wish I could go back and take this course a second time; I felt like I was always starting to get a grasp on the last topic rather than the current one, but I think this may be because I came in with some foundational math gaps. The system of calling on people at random times was extra motivation to stay focused on lecture, which was helpful in the zoom room.

Frederik is an excellent professor who really gets students interested in the subject. He's incredibly funny and very engaging. He's very passionate about the subject and does a good job of making his students feel the same way. We learned a lot in this course, but Frederik presented the material in very approachable manner.

I often couldn't follow the lectures, I think because I was not sure where they were going. It would have been helpful to have a syllabus with the topics we would cover in each class (even if we didn't completely stick to it), or regular reference to chapters a textbook, so I could see how each class fit together. More visuals would have been much appreciated. I felt I was often struggling with equations for a while, but immediately understood when there was a picture, and it would have been helpful to have a few example datasets upfront to illustrate what we were talking about. We did have that sometimes but the drawings quickly got too busy. I appreciated the cold–calling to help me stay engaged. Also Frederik's notes are the clearest notes and illustrations I've ever seen by a professor.

The professor is really nice. But I found it very hard to follow along in class, especially with handwritten notes that we need to copy down. It is very messy and not easy to see clearly due to the video format.

The quality of lectures are good, though it was hard to follow with zoom because of how limited the space that the professor used to write his notes.

Problem sets were so interesting. Felt like I was writing an explorative report each week. Often no single right answer – you had the freedom to approach problems in the way that made sense to you, as long as you justified yourself! Would spend so much time on them because I loved exploring the different ways I could arrive at an answer. Found them so helpful for reinforcing practical use of the topics we learned in class.

Problem sets were great for understanding course material and learning how to code. It was sometimes unclear what was really being asked so I'd spend a while working something out only to realize what I had been doing was not necessary.

The structure of the problem sets was good, with the most direct guidance being delivered for the first sets and then less guidance for the latter where more independent work was expected.

The problem sets were very useful in learning the material, however, we were never really taught how to use matlab we kinda just had to figure that out ourselves which was difficult if you didn't have a strong background in coding

The assignments in this class were mainly programming assignments where we had to write a code that could compute some value, run a statistical test, produce uncertainties, etc. The assignments greatly helped improve my understanding of the lecture material. Often times I didn't quite understand something in class, but the corresponding programming assignments made me grasp it.

I think the number of problem sets was fine for the material we got through, but I was expecting to develop more tools over the course of the semester. I also was expecting to do a more individualized data analysis project at the end of the semester, where we could apply the tools we had developed. Maybe it just didn't work out with the schedule this year. I appreciated the lectures where we would talk about the homework, but I think there's something to be said there, that I didn't feel prepared enough to do the homework from the previous lectures, without asking for an impromptu lecture about it. But that is difficult to do especially when so many students are new to coding.

Handouts were so interesting. Wonderful collections of short, relevant readings/figures etc. Textbooks were particularly helpful for windowing in last assignment, and for geiger method.

The readings in the course reserves were very helpful, particularly for doing the problem sets. Having a running list of recommended readings and corresponding lecture material might have helped, I sometimes got lost in the math.

The readings in the course gave nice mini introduction to what was going to be covered in the upcoming week(s). They very easy to understand and they were always interesting reads.

The visuals were fantastic. I wish there were more of them. I did not do much of the textbook reading, but I read some of the articles that were posted and I enjoyed them.

Loved lectures and handouts. Frederik's flexibility day to day in lecture was refreshing and exciting. Really enjoyed the problem set with geological application (geiger). Though I found all of the assignments interesting, some more with some added geoscience topics would be nice.

The clarity of problem sets could be improved a bit, but overall really great.

Overall this class was a lot of fun. Frederik's personality and teaching ability made this course what it was. I could see how someone else teaching it could make it boring. That being said, virtual lectures I think hurt this class a lot. I think had it been in– person we would've learned even more and I think more students would've been actively engaged. I also think Frederik would've enjoyed teaching it even more. I wish I could've taken it in–person. Given the circumstances though, this class was great.

Highly recommend this course. Frederik has the most bright and positive energy. His lectures are well organized, but at the same time he is so flexible and open to changing his lecture plans at a whim. Does an amazing job of explaining things from their most fundamental principles, enabling you to fit together all you learn in one big picture. Assignments are open ended, and very reasonable time/difficulty. You can explore so much and get so much out of them if you want, but aren't that time consuming if you're just trying to move through them. Background with MATLAB makes them much quicker.

Don't be afraid to ask questions or answer a question incorrectly! You will be called on for questions, accept it.

I would strongly recommend this course to anyone who will need to use MATLAB to assess or process data or anyone who wishes to better understand why they are doing what they are doing when they process data

For students who know they will be working/want to work with data for their research this is a great class, otherwise it might be tough to find applications for the material. Also, I would strongly suggest you have a solid coding and mathematics background coming in because if you don't you will easily fall behind and it will be a lot of work to catch up. For coding specifically, I recommend a moderate knowledge of MATLAB or a language closely related.

This is a useful statistics class that covers the most important topics for natural science research, especially timeseries analysis. Definitely take it if you want to learn MATLAB and introductory data analysis for research. The lectures were a little too freeform for me, but Frederik was able to engage us over Zoom and his notes and drawings are really helpful. He answers questions very well. Homeworks were every other week and did not take too much time. If you have taken more than one statistics course before, consider skipping this one.

You will learn a lot of material from this class. Be prepared to answer questions that may not make sense at first.

Frederik did such a great job in teaching and making sure students are learning something interesting!

I think the course was getting hard at the last few weeks and sometimes I didn't understand how all the math we learned in class can be applied in the problem solving, but the homeworks are really helpful to clarify this!

Dr. Simons is great in explaining the details and answering questions in great detail. He also does a great job in being available to answer questions outside class and by email. His passion for teaching is admirable too. Some of the materials taught in the class are a little advanced and it is better to start from fundamentals, step by step.

Prof did a good job presenting the materials. Motivated students to do independent thinking.

Lectures were very different from most of my courses. They were super interesting and well taught but it would have very helpful to have an accompanying textbook. Sometimes I got lost in the middle of lecture and it would be very difficult for me to understand what is happening for the rest of the class. A textbook also helps contextualize everything because it makes it very clear how different ideas build upon each other.

Professor Simons is brilliant and talented

lectures had great substance and insight but were often over my head.

The quality of the lectures is ok. The instructor used a variety of analogs and descriptions and not all of them make good sense.

I thought the lectures were great.

Great lectures to convey information about difficult material Professor had great jokes and provided interesting details.

Frederik always spends one class to help us clarify the homeworks! That's so helpful and necessary!

The assignments are great if you learn how to do them! They are very practical and useful. But maybe a little hard to figure out in the beginning of looking at each assignment before going to the TA and asking questions about it.

The level of the assignments was fair, reflected course and reading materials

Both Professor Simons and Yuan were wonderful. They were both so invested in my learning and went to great lengths to help me understand the material.

problem sets were really really helpful. this is where things that were confusing in lecture attained substance and i understood things

The problem sets were great. My only suggestion is that I think we should have more.

Always available to help, wanted students to truly learn the material Good assignments to reinforce subject of lecture

Great!

I loved the course. I think I learned more from this class than I have from most of my other classes.

This course needs more structure in its written work and lectures, and probably a statistics prerequisite as well. The pace of the course was much slower than it could have been.

course was very engaging and helpful despite still being a bit esoteric in lecture.

I have never had a professor so genuinely invested in my learning at Professor Simons was. It's a very tough course but he'll go to any lengths to help you understand it.

This course is rewarding (and requires little of your time) if you are interested in being a research scientist, and you already know the basics of statistics.

This class is about what we know from data and how we know it. It is very fundamental but also very esoteric at points. Many lectures went over my head. But psets are awesome and combined with the readings they helped me go back and understand more of the lecture material. If you don't take this class you will never understand what is going on around you and you will live your life a fool. maybe.

Frederik really has an incredible wealth of knowledge on this topic and shares so many good kernels of insight. The class is basically what you put into it though––if you want any of the skills to stick, make sure to do the readings and review your notes.

Great lectures to convey information about difficult material Professor had great jokes and provided interesting details.

He is an excellent teacher.

Professor Simons lectures very differently from most instructors. I was thrown off initially by his humorous comments and seeming lack of interest in carrying out the derivations, but lo and behold, there was a method to his madness. I started to appreciate Professor Simons' lecture style when I started working on the first set of MATLAB exercises. A fundamental understanding and appreciation for the applications of the topics from class are stressed rather than a rigorous line by line understanding of how to get to the results. I have learned a large amount of information during the course of the semester and look forward to delving deeper and building upon the foundation that was laid out during this class.

Good lectures. Professor has an entertaining lecture style and is thorough with the material but not too thorough as to be tedious.

Frederik is very smart and has a very specific plan for how to present each topic

The lectures, in general, were very helpful and presented in a logical orderly fashion.

Professor Simons is very engaging and hilarious

Lectures explained clearly, lecturer really funny! :)

Frederik is very funny and very smart

I thought they were very engaging and clear. If you don't like applied math you might find the material difficult to get through, but Frederik explains things pretty well. Frederik also has a dry sense of humor which is very entertaining. If you took careful notes, you could probably get away with not having to consult any outside sources to do the work.

very intellectually stimulating, went into enlightening levels of depth without overburdening with mathematical minutiae

Lectures are very interesting and Frederik is awesome. He is extremely smart and good at making abstract concepts accessible. While he sometimes gets bogged down in long math, I was almost always able to follow him through the lecture. The course material is all extremely interesting and Frederik makes it engaging.

Lectures were clearly very well thought out, with Frederik's use of colored chalk, board schemes and ordering of concepts. He made a valiant effort to make the theory understandable

Lectures were fantastic if you were able to understand every step. Frederik likes to skip steps and you have to be constantly aware of when he does so you can understand gaps in reasoning on the blackboard.

The course was taught well with a surprisingly well-organized emphasis on applications of the material.

If this course helped me with anything, it was to self-educate on extremely difficult subject matter that I thought to be previously inaccessible. The nature of the assignments also tremendously improved my coding abilities as they relate to algorithms.

I really felt like I finally understood some basic statistical ideas. I would say it's very useful for any science major

Good course for those looking for experience modeling with Matlab. Good intro to statistics and signal processing.

The course is an excellent introduction to method of data analysis and modeling. It is a good way to get some practice with Matlab (I learned how to use Matlab in the course). I also appreciate that Frederik gives us some flexibility that allows us to spend needed time with the material.

I think I have a much better grip on basic statistics after taking this course. Frederik and Ben make a very good team.

This course was great, I wish there was a second part offered next semester!

as an upper-level course with grad students, it was good in catering to a very diverse crowd of people and their experience. It helped novice MATLAB-ers like me while still challenging some people conceptually who had been programming for much longer. Concepts were hard but very explained.

Fun class, learned a ton, wish there was a second part.

Frederik is an amazing teacher. I like his instructional method and the lectures. His special way of presenting using blackboard simulated my engagement and independent thinking.

Professor Simons is an enthusiastic lecturer who was able to present difficult material in a funny and interested manner. He kept students engaged in the material by asking questions and repeating himself whenever necessary.

Professor Simons clearly knew what he was talking about and was a humorous, energetic instructor although the material was often very difficult considering the prerequisites for this course.

Great teaching.

Excellent. Frederik would adjust his lectures based on real-time feedback from the students---if we wanted him to go into more detail into something, he would. That kind of flexibility is rare and I greatly appreciated it.

Frederik Simons is very enthusiastic. He loves his students and is willing to go to great lengths to help them.

Frederik's lectures are exceedingly well organized, engaging, and informative.

Lectures were great. The material was presented quickly, but well. The best part was Professor Simons' passion. It was clear he found the information interesting, which made me interested too. Frederik was honestly the most engaged lecturer I have ever had!

Lectures were organized, well-explained, and the professor made every effort to make the subject comprehensible and clear to the students.

Frederik does a terrific job at walking through and explaining the steps of a derivation and how they are relevant to the resulting formula. The few times that I didn't understand something the first time, it only took one more (thorough) explanation for me to understand, and when Frederik would explain something for one of my classmates I would also gain a better understanding of the topic. He has a dry humor that is refreshingly entertaining and appropriate given the potential dryness of the subject he's teaching.

Prof. Simons was a fantastic lecturer and did a great job of explaining some pretty complex material.

The course is pretty good. I gained a lot from it.

I really enjoyed this course.

This course provides a very hands-on introduction to Matlab and Professor Simons is definitely an interesting lecturer.

Very well-taught.

Possibly one of the best classes I have taken in terms of how much I learned in one semester.

The class was focused on "doing" more than just remembering formulas and it definitely achieved its goal. I took 5 classes this semester, this might be the only one which material I will use soon for my research.

Frederik is the best professor I have ever had.

Course was extremely useful for understanding statistics and developing the skills to use these statistical tools for any scientific project.

The course comprehensively covered the statistical techniques that are most relevant to scientific study, and I feel extremely well prepared to conduct my own research now and to support my arguments with a deep statistical summary.

Overall, this is a fantastic course. I learned a great deal and am much better off for it.

Frederik is engaging to the students, and has very well-planned lectures. Lecture attendance key to understanding enough to complete assignments.

I would rate the quality of the lectures as excellent. The professor is marked by an entertaining, engaging style. All presented information was presented in an application-focused context, and no time was exhausted in the completion or presentation of "busy work". The classes both stimulated my interest in the subject of data analysis and contributed significantly to my knowledge of the subject.

Frederik's lectures are performance art.

Frederik is very mathematically precise and clear with his notation, something for which I will be eternally grateful [...] and his explanation of fourier time series analysis is the best explanation I've ever seen anywhere.

lab experiments and reports helped our understanding very much.

One homework and 4 labs. All were very useful toward building on understanding of material, and helped students gain a working knowledge of MATLAB along the way. Workload not overbearing.

Every assignment was ingeniously developed and melded well with the information currently being discussed in lectures. Comments and advice were helpful and informative. The assignments contributed greatly to a deeper knowledge and appreciation for the subject matter at hand.

I learned a ton from these well organized and constructed problem sets. They were challenging, but Prof. Simons was ALWAYS available to discuss the problem sets.

Frederik did a fantastic job of taking many students who had never even worked with MATLAB and showing them how to do quite complicated things with the language. He always had a trick up his sleeve to help everyone improve and do things naturally, and his comments were written with care and were very helpful.

Overall, I rate the course as excellent --- it was certainly the best statistics/data analysis course I have ever taken. No improvements necessary.

Interesting and challenging.

Problem sets were excellent and instructive; I loved learning to be more proficient at MATLAB; the lectures were well organized, though often fast and very challenging conceptually

knew what he was talking about, would help you with matlab programming

Frederik's lectures were very well presented. Subject matter was presented from a variety of view points, and often left trails for independent learning outside of the class.

Professor Simons is a great teacher. He taught everything clearly. I learned a lot from him. Thank you Frederik.

Frederik is talented in teaching, and he can always demonstrate in a comfortable way for the student to understand, without going into some abstract concepts

Prof. Simons was also very nice and approachable.

This course was of top teaching quality. The subject matter was very well presented and illustrated in the problem sets.

One of the most great class I ever took!

This course is not just recommended for Geo students but for anyone studying any science. The applications of the theory were engaging and the material highly relevant. (...) I would say this class would be suitable and important for anyone who is a sophomore or higher.

I strongly recommend you to take it!

It's a great course if you want to learn to use MATLAB or some basics of inverse modeling. The workload is very reasonable. Allows you to work on your own research as a final project, which is nice.

It's strongest point was the rigurouslyappliednature of the teaching style and the lab work. I've taken statistics and stuff before, but there was never any context. The lectures, as is all but required in a mathematical course, were dry and formulaic in structure. They were not dry in delivery, though! Classes were still fun. Furthermore, each spate of formulas fed into a quality, well thought out lab exercise.

The assignments/labs were excellent. They were well designed to illustrate the important concepts and show practically how to implement them.

Covered a lot of materiel. Lab exercises were very helpful for understanding. Very receptive to input about course.

The lab exercises were well designed and significantly contributed to my understanding of the material. The MATLAB skills gained were invaluble.

The techniques from this course were useful in writing my JP. Also, the professor was very flexible to tailoring the course to the student's needs, although this worked against me somewhat in that the course went in a more technical direction.

P. Simons is very good at explaining information clearly!

Frederik Simons Last modified: Mon Mar 6 14:15:39 EST 2023