Just really focus on getting a great education from him. He is much more interested in making sure your understand the material and will spend all the necessary time to ensure you understand. Wonderful professor and very much worth taking.

Dr. Nguyen gives clear & informative lectures despite covering complex material. The course design promotes content exploration (projects, papers, presentations) opposed to memorization (quizzes, tests). If you like deep learning & math, are strong with Python or Lua, and enjoy research, take this course. If not, you probably wont have much fun.

Dr. Nguyen is a great professor! He really does his best to make sure students understand the complex material. His homework assignments are straightforward, and his tests are just a step up in difficulty from his homework. The level of difficulty for this class is only as high as it is because of the material itself, not his teaching style.

Lectures are great, goes over everything you need to know in a timely and concise manner. If he is the one grading your tests he will be tough, TA's go a lot easier. Tests are open book/note so attending and taking notes is critical.

Good professor, goes a little too slowly sometimes but that's only because he wants to make sure everyone gets it. My main complaint is him cancelling our 8am class on multiple occasions at 7:55am. He makes this difficult class easy to understand would highly recommend taking him. Also gives lots of extra credit for participation so go to class!!

Dr. Nguyen is a great prof. This was one of my favorite classes taken in the computer science curriculum. He has a dry sense of humor and some people think it comes off as snarky but I found it hilarious. Tests are reasonable and cause you to think, but not too hard. Homework was good. Talk in class and get up to 5% bonus on your final grade!!

Great professor. One of the few professors who doesn't just read off slides.

Good teacher who knows his stuff. Tests can be slightly difficult but if you show up to class you'll do much better than the 90% that don't. 5% participation if you volunteer answers/questions over the semester

Dr. Nguyen is one of the best professors in the CSSE department. Formal languages is a difficult class with difficult topics, but his lectures were tremendously helpful. He values in-class participation and as such gives 5 extra points to your overall grade if you attend lectures. Those that gave bad reviews are the ones that didn't come to class.

This is a difficult class, but it comes down to just showing up. Through attendance 5% extra credit was up for grabs, and another 1% for 20 minutes of work at the end of the semester. He is very accessible to answer questions if you have gaps in understanding, and shows previous exams to use for studying. Was often late, but rarely more than 2 mins

Professor Anh was great. He offers a good bit of extra credit opportunity if you attend class and participate. The material is difficult, but he understands it very well and can help if you ask questions. Biggest tip for Formal Languages is come to class and ask questions. Also, find a group of 2-3 people to work on homework/study with.

Many people got confused with his lectures, but did you really work hard on the homework and attend the classes regularly? Sometimes I feel he just swings with his lectures, but he could do a good job explaining the questions. The exams are not heavy with only two mid-terms, and extra credits are also given if you participated in class

Dr. Nguyen is a great professor teaching a very difficult course. This course's content is quite difficult to understand, but Dr. Nguyen helps to push your learning to try to understand this material. Participation is key to success, as you can get up to 5% extra credit for asking questions in class. Try your best on each test and show your logic.

If you go to class and participate you should be able to get a good grade. He always tries to answer any questions students have and rewards students who try to participate. He doesn't scale tests but gives out bonus points to those who participate in class. If you want to succeed in this class make sure you do the hw and participate in class.

I took machine learning from Dr. Nguyen and it was probably one of the most challenging courses I took at Auburn. While difficult, it was definitely one of the most rewarding courses offered at Auburn. Definitely brush up on your linear algebra and calculus 3 topics before taking, but worth the effort. Gives up to 5 grade points for participation.

Dr. Nguyen's class Explainable AI is one of the hardest I've ever taken. We're expected to read papers written by experts in Deep Learning and then give hour-long presentations about the papers we were assigned. With that said, the material is very rewarding to learn - I now feel very knowledgeable in a subject I previously knew little about.

In this XAI class, each of us had to read and present just 3 papers in the whole semester. However, if you are not used to reading research papers, you might find it tough and in that case, you should be ready to invest sufficient time for the class. In any case, you will learn a lot from the class if you invest enough time.

Really interesting and cool class, but also probably the hardest class I have taken in my 4 years at Auburn. If you are up for the challenge and willing to spend a lot of time outside of class learning it, I would recommend this class. Professor Nguyen is a good teacher and I've enjoyed having him for multiple classes despite their difficulty.

Very good class, but super difficult so keep that in mink. Professor Nguyen is very smart and has high expectations for his students.

Dr. Nguyen makes his lectures very interesting by discussing the applications of the material. You are expected to introduce yourself to concepts via required readings subsequent to each lecture. His tests were on the difficult side due to us not knowing what to expect -- especially for the first exam. Read and go to every class for a shot at an A.

Really good professor pushes you with the workload and actual work itself but is well worth come out learning a lot more than you think you would know

Great teacher loves to push students with workload and work difficulty makes you get better at the material and pushes you to actually know and understand the material

overall the class was good although exams are heavily weighted

Amazing Proffessor

This is a tough but interesting course. Professor Nguyen posts reading materials that you need to read in order to understand the lectures. I enjoyed his teaching style.

The course is really hard. You get a lot of bonus points for just going to class and discussing the material. The exams are not hard but just tricky and tests the understanding of material. I think just going to class, asking a lot of questions, and studying the concepts can get a B at least.

Be Prepared to Read A LOT of Papers, and also spend time working on understanding the materials

He is smart and explain terms in plain words. He support his lectures with good reading materials. However, the course is voluminous and the exams are tricky. He his generous with grading exams and cares about student's justification.

Class was good and I learned a lot. It is tough though. There were many homeworks and a couple of them required a whole lot of time.The midterms were multiple choice making them hard. The justifications were taken into account but maybe it would be nice to consider them even more in the grading. Also, other ways of participation may be considered.

There is a lot to keep up with in this class between the assignments, readings, and difficult exams. I would only suggest this class if you are actually interested in machine learning and have plenty of time to study it.

Dr. Nguyen knows his stuff, but sometimes I feel his research is at such a high level that it is difficult to explain lower-level topics in a simple manner. He offers bonus for participating in lectures, wants you to succeed, and will unearth a sense of humor as time goes on. Don't take for an easy A, take to learn.

Dr. Nguyen was good. This class was very hard with a lot of theoretical/abstract concepts, yet I learned a lot. This class has a lot of work but Nguyen was great in communicating these topics. I hope to have another class with him in the future!

I thoroughly enjoyed my time in Explainable AI. Dr. Nguyen actively listens to your presentations both to learn about the paper himself and to give helpful feedback to improve your presentation skills. If you have taken a machine learning course and want to learn about state-of-the-art Deep Learning, this is the class for you.

Dr. Nguyen is a great professor and is very wise. His course is difficult and not for the feint of heart, but if you can complete the course readings and stay on top of the work, this course is very rewarding.

The course, Explainable AI, was one of, if not my favorite courses I have taken. Professor Nguyen is not just an expert in the field, but passionate about the class. This resulted in a class that was highly engaged and a delight to experience. The class, professor included, explored the bleeding edge of explainable AI together.

Dr Ahn did a great job of explaining the material well. His in-class and test questions are very intuitive and helpful as they question your understanding of the machine learning methods. He is a good fit for this course and I would like to take his deep learning course.

This XAI course gonna be graded based on your 3 presentations, 1 final exam, and your participation. To be honest Dr. Anh has tried his best to make this topic easy for everyone to understand. you will be required to read selected papers and do a 40 min presentation based on them. Be prepared to spend time understanding concepts.

Get ready to read from a lot of different textbooks and online resources. The lectures are all math based but exams are conceptual. This is a hard class and should not be taken if you're looking for an easy A.

Overall the class is taught well. Both the graduate and undergrad classes are taught the same. The professor is actually pretty good at responding and answering questions unlike other professors. The exams are pretty difficult so reading is necessary to properly understand the material. There's also HW pretty often.

Overall a good professor but a very difficult class. There are plenty of homework assignments that do a good job of helping you understand the material. There are a few extra credit opportunities. The tests are very difficult, but you can try to justify your answers.

Professor Nguyen is reasonable when it comes to listening to students' concerns with his class, and he attempts to work with students. However, he can be a tough grader on exams (i.e. no partial credit at times, exams with few questions, etc.). He does give extra credit for participation and, if need be, other extra credit opportunities.

The class is challenging, and the stress of the process is effective in getting students to absorb the course material. If you are interested in ML, this course can effectively help you understand it.

Over all I had a good experience in this course. The lectures are interesting and active. The difficulty of the tests also forced me to take the course seriously and read the books throughly.

The professor made serious efforts to make us understand learn every concept he taught in the class. His explanations were brilliant. He planned to teach a more than what he has covered now in the class. He could've been a bit faster in few classes and could've covered the initially planned syllabus. Except that, he was top notch.

He made sure we all understand every concept he covered in the class. His explanations were brilliant. He wasn't able to complete the whole syllabus as he spent too much time on a few topics. Other than that, he was top-notch.

Professor Nguyen is top-notch. Well designed courses in terms of assignments and planning, both knowledgable and genuinely excited about the subject. The material and subject is extremely complex and so the course is reading and participation heavy and both of those are absolutely vital to success.

Dr. Nguyen clearly knows the material very well, just be sure to keep up with the readings and have questions ready.

Dr. Nguyen is a brilliant professor, but you may want to already have a deep understanding of Python before taking ML. In addition, it is beneficial if you already have a basic understanding of Python before taking ML with him. He explains the concepts that are essential to real word applications which is also beneficial.

This has been one of the harder classes that I've taken at AU, but Professor Nguyen has also been one of the better professors that I've had here. While his class is hard and you need to prepare yourself well for any exams to get an A, he does a great job listening to the needs of the class and making adjustments to his plan to help prepare you.

This has been one of the harder classes that I've taken at AU, but Professor Nguyen has also been one of the better professors that I've had here. While his class is hard and you need to prepare yourself well for any exams to get an A, he does a great job listening to the needs of the class and making adjustments to his plan to help prepare you.

Dr. Nguyen is harsh but fair. He provides plenty of resources to the class for you to succeed. The class is very intensive and has tough material. Can cut up and crack jokes during lecture to lighten the mood a bit.

Generally love Dr. Nguyen's courses, I highly recommend.

I was delighted to discover that the classroom atmosphere was very collaborative, with almost all students actively participating in discussions and presentations. Despite the steep learning curve, the benefits were certainly worth the hard work. I even found that reading research papers can be enjoyable!

I do not think his teaching had anything to do with the class being inherently hard. He did a good job of mixing between the theory and general concepts. You will definitely get a good grasp of machine learning by the time you are done with this class.

The grading criteria for the course are composed of three speeches and one final. The first few lectures were taught by professors to popularize knowledge for you, and the courses are very interesting and recommended for selection.

Anh's deep learning class has been my favorite class in all my time at Auburn. Anh's explanations of the deep learning concepts helped many of them finally 'click' after years of confusion. I recommend this class to every compsci and SE students I meet. It is tough material, but what do you expect, it's an AI class.

Haven taken both of Anh's classes now, his ML class is definitely more difficult than DL. When you are first exposed to ML, it can be hard to wrap you head around. But as with anything with enough time and effort you CAN learn this stuff and it is a extremley helpful foundation in how data is modeled for future classes. Take AI -> ML -> DL

Dr. Nguyen is very knowledgable and it shows. He has gave me a more in-depth knowledge of Artificial Intelligence/ Machine Learning/ Deep Learning, which is whats going to be applied in the real world. The only concern is you need to be comfortable with at least python at a minimum to be successful in his classes.

This is my 2nd time I had Dr. Nguyen (had him for 5630) and he has improved greatly. Maybe it was a small class size or seeing some of the material before, but I learned more this time. He is extremely intelligent but sometimes will struggle to convey the topics (to be fair ml/dl are very abstract). He has become my favorite CSSE professor! 10/10!

Going into this class I knew it would be an interesting class, but I never expected it to have as profound an effect on me as it did. I learned how to read research papers and learn foreign concepts. I gained confidence in my public speaking skills and started enjoying talking in front of the class. Would recommend to highly motivated students.

Dr. Nguyen is a great source of information. I learned so much about the current AI landscape through talks with him and my peers. There are few grades, but the grading criteria is clear, so as long as you put in effort you should get through this class no problem. The student presentations also help with strengthening public speaking skills.

I took XAI with Dr. Nguyen. This class is not typical to most CS classes. You'll be giving presentations for most of your grade outside of the final. This makes the class more fun and engaging then other straight lecture classes and I learned more in this class than almost any other class I've taken.

Good professor, time consuming class

I was in explainable ai. It was a fun class ,but it is very time intensive

COMP 5970 provided a solid introduction to explainable AI. The instructor was knowledgeable, and the material was informative. It's a useful class for understanding how AI decisions are made.

Had Dr Nguyen for COMP 5970 Explainable AI. He was an excellent professor, and gave a core understanding of AI. I would recommend taking at least one AI course beforehand or you will have to learn everything on the fly. Overall great professor that helped us learn AI through not only his lectures but allowing us to present on papers ourselves.

This is the XAI course by Dr. Nguyen. The class began with introduction to basic deep learning knowledge, then students in group present papers on topics designated by professor and are asked questions by the professor and fellow students. Overall, it is an informative class and you can learn a lot if you would like to read about new AI technology.

This class is a wonderful class to get involved with current AI topics concerning Explainable AI. You read a lot of research papers in the beginning, and then transition to student presentations. This class's grades are based only on presentations and the Final. So, be prepared to make in-depth presentations of research papers. Extremely worth it!!

The Explainable AI course is pretty fun, unlike traditional lectures, we as students have to read latest papers provide by the professor and present it to the class.

The Explainable AI class was fun, unlike traditional lectures, we as students have to read and present papers on latest developments in AI.

This was for COMPO 5970 - XAI. The class was extremely enjoyable and a must take if you see researching in your future. The primary skills learned in this class was reading publications and present them.Professor has expectations for you presentation so if you like reading about new AI technology, take this class!.

XAI is the most interesting class I have taken at Auburn. I feel like my understanding of AI research papers is much better. This class has made me want to do more research in AI explainability. If you are looking for an easy A, don't take this class. If you want to learn a lot, however, I highly recommend it!

Honestly one of the best professors I have ever taken. You can tell he cares a lot about what is being taught and wants to make sure everyone understands the material. If you plan to not take this class seriously tho dont take it

I took the Explainable AI Course. The Course was tough, but actually that's called a course. This is what learning is. Tough but learnt a lot. Highly recommended. If you want to learn something, take the course; if you are just passing by a college, the course is not for you. If you want to be Pro in the field, take back-to-back courses from Prof

I can confidently say that you will gain a great deal from his class. He puts in significant effort to ensure every student fully understands the concepts.