Computational Methods for Business Analytics (BT3102), NUS, Aug-Dec 2019

• He is a great professor who really knows his stuff.
• He is really good and teaches well. One of the best but tiring bt module taken so far
• I believe that he is a passionate teacher who really cares for his students and how to help them further. He knows how to teach well, and can really reinforce understanding in his students and help them learn better throughout this module. This is something I feel that a lot of professors can still improve in, but he really excels in this area. This module, even though it is challenging, but under his guidance and planning, he has helped me master most of my contents with great confidence. He also cares about his students and show understanding towards them - being helpful and mindful, and being receptive to feedback as well.
• He is very helpful and engaging.
• A module that I truly learn something from.
• smart prof
• he is smart
• Passionate aboutwhat hes teavhing
• Very patient with students, slowing down in lectures and answer students' questions.
• Put in his best effort to ensure that we understand the lecture content. One of the best prof i have met in the school
• He has both great teaching style and knowledge
• Very interesting content, presented in a way that is engaging. Prof stanley is also approachable and clear when answering questions
• Well formulated course structure and formats
• Great effort in answering students' queries to ensure they understand concepts.
• taking the effort to show real world applications to a heavily theoretical subject - being patient in explaining complex concepts and always encouraging students despite the challenging content
• Enjoyable and very deep course
• Very dedicated and effective lecturer who teaches with passion. Has comprehensive knowledge about subject matter.
• The module established both theoretical foundations and practical experience. It helps me to reach a higher level in machine learning and Bayesian network model.
• Prof Stanley is very patient and clear in explaining concepts. He is very humorous too. He cares about our learning and well-being.
• Very knowledgeable in his work. Able to teach very well and clearly. When he takes feedback, always make adjustments to better suit our learning style. Never fails to keep us engaged by asking us questions. Able to know each and every student and even their names. Hence able to track each students learning and ensure we all progress together. A very complex but enriching module.
• Enjoyed this module most in the business analytics curriculum
• He is definitely one of the top 3 professors I have been taught under in NUS.
• He's passionate about what he's doing
• Dedicated prof
• Good Prof
• He is great at teaching.
• Very good at teaching and clarifying concepts
• Explained the concepts clearly
• He is able to reinforce understanding of concepts to his students through timely review, and by providing sufficient assignments to help us consolidate. This can help us in not getting too lost over time. A regular lecture quiz is also very helpful in achieving a similar purpose. His responses to feedback from his students are also addressed in a timely manner, and appropriate actions have been taken in accordance to the feedback, yet maintaining his values and beliefs.
• Very enthu
• The lecture is very interactive and Prof is very knowledgeable.
• Clear, concise explanation of technical concepts.
• He's very good at explaining and making sure his students understand the concepts well
• He is very smart.
• Content is very interesting and useful (and intense!!)
• He's very knowledgeable and passionate on the topic. His lessons are always enjoyable and fun
• Passionate and approachable, incorporated feedback of students
• very knowledgeable in the topics and makes our understanding clearer
• Very clear presentation of ideas
• Explaining concepts well and engage the class.
• He has excellent professional knowledge
• Knowledgeable, but too knowledgeable for the students' good. The module is too taxing on the mind and body.
• Understands the subject very well, can answer any question quickly and in depth. Modifies mod based on midterm feedback
• Quick answer and reply during lectures to clarify doubts before moving forward.
• Spends the effort to explain concepts to ensure understanding by students.
• pushes students just right
• Prof Stanley was very knowledgeable about the subject and passionate in teaching. It makes the whole course an enjoyable and intense experience.
• Actively attempts to address questions while teaching to ensure that everyone is on the same page.
• He is patient in answering student doubts. He is really approachable.
• Very passionate on teaching and provide very clear explanations of concepts and theories. Very good designed assignments.
• Prof Stanley is very patient and clear in explaining concepts. He is very humorous too. He cares about our learning and well-being.
• Very knowledgeable in his field of studies which enabled him to impart his knowledge to us efficiently and clearly. One of the best professors I have met in Business Analytics. In addition, he actively takes feedback and make changes based on them in order to help us learn better.
• Very intellectual and strong ability to explain complicated concepts in a relatively simply manner.
• He tries his best to accommodate feedback, and was willing the change coursework workload halfway through the semester.
• He is a determined lecturer who is eager to teach lots of useful contents.
• the explanation is good, but it still takes a long while to understand
• Clear explanations
• He's motivated and engaging
• Explanations are clear, able to explain using different ways if we do not understand.
• Cares for students, plan his lessons well (lighter towards end of semester)
• Explains concepts really well and passionate about teaching.
• Good grasp of concepts, very good teacher
• Interesting teaching style.
• Clear
• Very clear teacher
• good at keeping students engaged during lectures
• Less workload please
• More group members to do projects!
• The project is crazy.
• The explanation for some concepts could be further improved, more guidance might be helpful as well.
• more concrete examples
• The workload can be lighter. This is the heaviest module I took for this semester.
• Workload too heavy, notes insufficiently detailed
• More numerical examples.
• Workload is way too heavy, project was really difficult.
• not sure, the class is too hard
• It is extremely hard to follow his lessons as a year 2 student. It is extremely tough and hard. I was not aware that this module is stats heavy. Too bad cannot drop already.
• Less proofs/mathematics
• Go a little bit slower during lectures
• Too much workload
• Give more examples
• Dumb the content down a little, take it slow. Some concepts are hard to grasp and it's really hard to go through a module that has
• 100% equations and symbols.
• Notes use too much notation. It is very difficult to follow. Often, I only understand after refering to external resources extentsively.
• Content is also insufficient to do the project, project takes way too much time for 20%, should reduce scope or increase its weightage. Explain content broadly eg overview, before going deep into the math.
• More practice questions to get some practice.
• I think quizzes are quite useful to revise and pace our study! I hope the slides could be more colorful and more consistent math symbols.
• Reduce course contents. Too much math/stats which is really makes students stress over understanding the concepts. Concepts are slightly abstract, making it hard to comprehend when doing the homeworks
• N.A
• Maybe having a better gauge of student's learning abilities. While it is difficult, it sure is enriching and fulfilling at the end of the semester.
• Maybe can reduce the workload if possible
• just release the answers to lecture notes. it's still hard to understand without somebody telling me what it is that is going on. at least release it right before recess week.
• Sometimes he can go a little too fast. It is hard to keep up sometimes
• Provide more avenues to assist weaker students
• Try to showcase the intuition of concepts so that we can relate the details to why we learn the concepts, how they are usable or related to other concepts.
• the things we learn are at the forefront e.g. how to actually implement HMM as many things online are on the high level, would really help if more application details are provided eg how to actually implement ACE on real cases
• Sir, I don't think you are aware but your module takes up about half my week in terms of workload. It is just too much! Think can cut it by HALF.
• Too much workload.
• Lesser work
• Too much workload
• reduce workload please.
• Workload was rather heavy. Felt that the final project should not be code–based as we were not specifically taught how to code what we learnt.
• Too much workload
• workload was absurd. especially the project.
• The workload can be very heavy (even though they are for a good purpose), and it can feel that we do not have a complete understanding of certain concepts at times.
• it's technically very challenging. too much math!!!!!
• the things we learn are at the forefront e.g. how to actually implement HMM, would really help if more application details are provided eg how to actually implement ACE on real cases
• too much proving!!
• nil
• Too many content, too much homework, project is too difficult, too much quizzes
• Too much content that is hard to grasp
• The workload is too high.....
• Too much work load
• The project is too overwhelming. Too much stuff and coding to do while still need to cope with homework assignments.
• Super tough. Workload too heavy. Lecture notes is very generic (formula & concept) but homeworks & project requires very specific understanding that wasnt emphasised/elaborated on. This mod is like a bullet train, continuously moving until it reaches its destination (end of week 13). Never felt this exhausted taking a mod before. Goodjob.
• No webcast. Please webcast the course content esp bc lecture continues during tutorial + the content is quite hard to grasp Workload is a bit heavy.
• Time commitment too high. Too many deliverables
• Workload is very heavy. Too many homework assignments and the project was really really hard.
• everything was so hard
• Content is challenging!
• Too hard.
• Hard to grasp theory / math
• too much coding, not very friendly to non cs students
• Too much workload
• Very theoretical. Should have more mathematical questions in exam.
• The amount of technicality, mathematics and jizz. Some people just aren't cut out for that.
• Too much notation, project too time-consuming and ambiguous in terms of how to do it.
• The difficulty of the assignments. Lack of practice to reinforce concepts
• pain
• Coding questions and projects were pretty difficult and needed a lot of time to complete.
• Too heavy on math/stats contents.
• Concepts were abstract to understand and apply
• Group project was really very difficult and has a extremely heavy workload
• N.A.
• Nothing.
• Workload too heavy
• frustratingly hard to self-study
• Work load very heavy.
• Able to learn a lot of useful techniques, very relevant and applicable.
• Novel Concepts
• Learned in great depth about very relevant probabilistic models
• Honestly, I really like the assignments as I feel that they really help me a lot. Even though they can be challenging at times, they are often doable. The contents of the lecture can be quite interesting from time to time as well.
• Useful
• Everything
• Learned alot
• The breadth of concepts
• It is technically challenging and always prob me to think further.
• Applications to the theory are brought up
• Can learn alot of new indepth content bout the usual techniques & methods we used in our projects & for any statistical analyses.
• Interesting exposure
• Interesting content that is applicable to real life.
• It's theoretically challenging and useful for when we graduate and go out to the industry.
• Learnt a lot a new and significant things and their real world applications
• The topics seem useful
• What he taught is really useful. Would be good to have a part 2 to cover more content!
• It is very interesting, applicable, and connected between lectures
• Interesting, challenging
• the mathematics involved
• Very intellectually challenging
• Learning complicated stuff but simplified by prof.
• It is intellectually challenging
• Interesting to a certain extent, many concepts unheard of exposed and learnt, programming assignments can SOMETIMES be fun.
• Learnt a lot.
• The mathematical rigor and scope
• It provided the required statistical knowledge required for the workforce.
• cool concepts
• Difficult and challenging contents that enhance our thinking
• Nil
• Solid theoretical foundations. Well structured learning path and solid practices of the model.
• This modules privi
• Covered a wide range of things. Applicability and also technical knowledge applied
• Challenging but very useful from a technical perspective. I wished I had more modules in NUS with the rigour of this curriculum with Stanley's level of teaching.
• It's useful
• some of it makes a lot of sense
• Learnt alot of new things