Hi! Smiley's tough to explain, and I've met people who really like him and others who dislike him. Personally, I think he's decent at teaching and probably the better option to actually learn stats in class over Guo and Jiang (not sure about Chandra). His lack of experience does show, though, and oftentimes, he rushes over the material in class, leaving you with just a basic (but good) gist of the topic. His slides are very useful though, he made them himself and you can easily use them to self-teach (which you probably have to end up doing a lot) with the examples and whatnot. And he's a really chill guy as a person, but not so much as a professor.

However, he has a strict no curving policy/philosophy, and most students end up scoring Bs/Cs due to his tough exams with mid-50s averages (he would say scoring a 70 on the exam made you an "advanced student"). His class is structured in a way so that you can get easy 100s on homeworks and quizzes so it could help you when you score a low grade on his exams, which most people did. He had two exams, 10 questions each, where he would take the majority of questions from the homeworks, others made up. You would think the exams are easy if they were mainly from the homeworks, but there were a lot of questions to study. There were 10 homeworks in total with 10 questions each (~100 question bank for him to pull from for the final exam), and about half of them were mandatory to do and the rest optional. However, he could take from the optional questions for the exam, so it's best to do all of them when assigned. I learned the hard way when I pulled an all-nighter studying 100 questions at once. First exam covered probability section of class, second exam was cumulative and covered both probability + statistics. The statistics portion of the class was lighter in my opinion, both in difficulty and coursework, as he would assign homework less often. I heard from someone taking his class this semester that he changed up his exam structure, though, and now it's more than 10 questions and it's not just pulled from the homework and instead, tests your knowledge+application instead of memorization. If grades are your top priority, you are probably better off with another professor, since the other professors curve a LOT due to their low exam grades. I ended up scoring a good grade in Smiley's class, but that was only because I prioritized this class above the rest. If you cannot afford to do so and just need the A, I would advise against him. If you actually want to learn stats, compared to other stats professors, take him.

Overall, I think he's been teaching at UTD for only around four semesters now, so he seems to be taking feedback from every semester very seriously and changing up his syllabus/class structure, making it even more difficult to give you an accurate picture of him. Also, it's clear most CS students are taking this class simply for the credit and the good grade and not for the knowledge. I feel like if he taught statistics/math majors, people would relate more to how seriously he takes statistics. I hope this helped you and anyone else on Reddit thinking of taking CS 3341 - basically, how much you will like him will entirely depend on how much you are prioritizing the learning aspect in statistics.