★★★★★
The lectures were easy to understand and carefully explained by the professor including the doubts. The presentations that were saved in the blackboard are used as additional references. The TA explained the concepts and code very well. The marks or assignment evaluations were done very strictly, ie, it is 1 mark less if in one line says 16 and another has 14(by mistake), -1 for report quality. I just hope it would have been much better if it was -0.5 rather than -1. Thanks for all the help.
★★★★★
Learnt a lot. Thank to professor and TAs.
★★★★★
could have been a little linient on the grading.
★★★★★
Just an awesome class, but I felt that course load(hw) was a bit much
★★★★★
The class was very informative and challenging. I learned a fair good deal from this course. Excited to be taking Ubiquitous Computer next fall under Dr. Pavlidis!
★★★★★
Professor Pavlidis and the TAs Vitalii and Shaila instructed the course in an organzied manner, providing a learning enviornment encouraging participation and discussion. Weekly homeworks allowed for a steady practice of the information gained from lecture. Labs were extremly helpful in completing homework assignments. Professor Pavlidis provided interesting datasets from the medical field and educational research. Although I do wish I particpated in the in-person course provided due to the unique personalities of the professor and TAs the online form of the course was extremely convinient and useful.
★★★★★
One of the best classes I have ever taken. Professor: Dr. Ioannis T Pavlidis is the best professor as per me. He is always ready to clear your doubts. Getting responses from him is the easiest task even on weekends which makes him unique among all. If you ask him any questions at any moment, he is very happy and eager to answer everything. His knowledge in the field is beyond the limits. Always listen to the feedback provided by the students. Make necessary changes in class delivery also if students needed (until they are reasonable for sure). Definitely, A LOT to learn from him. TAs: Vitalii and Shaila, are the best at their level. For the practical session, you can always reach out to Vitalii, he is always ready to guide you in the right direction. For any grading, project related queries, Shaila is always ready to give you logically correct feedback. With the help of them, you will definitely learn how to write and organize your code and report. Class quality and workload: Definitely, you will have a huge workload as nothing comes easily. When you have time and want to invest it instead of waste it, surely go for this class. You will enjoy it a lot and will learn a lot. After finishing this class, you will 100% feel that it was useful and all the hard work (ofc smart work is needed 😇😇) that you have done gave you fruitful results. Kudos 🙌🏻🙌🏻🙌🏻 to one of the best teams I have ever worked with.
★★★★★
The structure of the class and the hands on nature of the final project (especially being split into multiple parts per lecture material) was a very effective teaching method. The classes being 3 hours straight makes it hard to focus for people that have ADD/ADHD so keep that in mind but I still appreciated the form of the class as a whole.
★★★★★
The TA is very good at doing practical sessions in R.
★★★★★
The overall course structure is good. The daily exercises were helpful in understanding the lecture. The assignments were good and helpful in understanding the topics. The project gave me an idea of how real-time research projects work. Thanks to the Professor and Vitalli for helping out throughout the course. I was a bit lost during the final milestone of the project. But, overall we managed to complete and submit it.
★★★★★
Positive: All the topics were covered relevant mathematical examples and also in R programming. Though regular exercises and homeworks made the course a bit of heavy load, but the learning outcome from performing these tasks is invaluable. Negative: Exercise on every Friday with deadline on Saturday night, ruined almost every weekend throughout the semester. The deadline should be in weekdays in the following week.
★★★★★
Since the project was a large part, I would have preferred if it had more creative involvement from us, as opposed to simply recreating results from a manuscript.
★★★★★
Everything's really good and the examples to explain the course was really good and even the TA have helped us alot when ever we needed. It's been great to take the course. Only thing is that it was getting pretty hard at the end of the course as the project was a bit hard but it was all well and good. Thank you
★★★★★
a very good learning experience stats frrom the professor
★★★★★
I have really enjoyed in this course. From the start to the end of the course, I have learned lots of statistical techniques which gonna help in data science. Vitalli is a top knotch TA. Thanks Professor and Vitalii!
★★★★★
Most positive things are : - TA is always ready to help 2- exercises after each class helps retain the information studied in the class. 3- Professor has numerous office hours which is another great help. Negative things: 1- Too many homeworks despite having exercises after each class especially when there is an overlapping of a homework and a phase of the project deadlines. 2- The project.
★★★★★
Most of the students don't realize the quality of this course. This is not a high school level stats course covering mean, median mode, but an advanced course on analyzing complex systems using the tools of statistical analysis. First time I read the paper, it appeared all gobbledygook. I doubted if I could even understand the meaning. Read it few more times, realizing the quality of work behind it and as we progressed down the milestones, it started making sense. Near the end as I plodded through milestone 3, the triple helix (just like the papers: theory, practice and implementation) of stats theory, the implementation via R, and analysis of large data set started coming together. I know that I still need to read the paper few more times as it has significantly more information buried in it, but the revelation of shortcuts taken by researchers by seeking near convergence via 'do it yourself' under the pressure of Flagship funding was remarkable. I was expecting the exact opposite. Not sure if the paper covers how this revelation was realized. I think I would have gained more in this course if I had covered some ground over the winter break. I should have at least finished Khan academy, stat quest on youtube and basic book on R. If I had done that, I could have interacted with the Dr. Pavlidis and picked his brain, and learnt the design process. Now I have some idea on HOW but not WHY. I hope Dr. Pavlidis offers an advanced course on 'Analysis of Complex systems' in future, and that would be truly stimuating. Once again, I will like to take this oppurtunity to thank Dr. Pavlidis and Vitalii for their continued guidance and support during this arduous but a truly stimulating journey.
★★★★★
Overall I learned a lot in the class, I think the lesson plan was well thought out and it was obvious a lot of effort went into it. Thank you both for the great term. Positives: Covered a broad range of topics and had hands on implementation of the techniques. The extra time to do the Rstudio hands on portion was a great change from the first class and made the overall length of the class more tolerable The teams setup was helpful and the recorded lectures made it easy to refer back to things I may have missed or wanted to understand better. Negatives: I think the overall amount of work for the class was incredibly high. Personally I think the homeworks could have been eliminated in favor of using the practice sessions and project for the experience and I would've gotten about the same information out of the class. I said this in previous feedback, but the length of the class was long. Although I applicate and realize you tried to address this as best as you could by giving a break and changing the way the Rstudio practice portion went. Again, I learned a lot from the both of you and you have my gratitude for all the work you put into teaching us. You both obviously care about teaching and I really respect that. Thank you.
★★★★★
The most positive attributes are the exercises and the homework given for practical hands-on expertise on the topics covered. There aren't many negative attributes to speak about. The class is quite interesting and we learned a lot.
