HOUSE State 1 State 2 State 3 Also some very interesting topics like constraint satisfaction and logic planning, which could help you solve a lot of brain teasers:). A bit of a rough start with the first project due to it not being quite prepared, but following some backlash from students on how that was unacceptable, it seems the course really got a lot better and the teaching staff took the advice to heart. I learnt most about HMMs , Random Forest , Search algorithm only because of the assignments. I quite liked the course as well. Course Hero is not sponsored or endorsed by any college or university. I suspect that many in the class are just that smart - bordering genius. Intro to Health Informatics will hopefully provide more knowledge on the healthcare industry, as well as provide more practice on Java and Docker, which is also useful in my work. 4) You get to drop one of the six assignments. Challenge Questions on Piazza The Assignment The goal of this assignment is to demonstrate the power of probabalistic models. But if you are weak in those areas, then I recommend taking another course before this one or a refresher before the class starts. Dont pair it with other class if youre employed and/or have wife and kids. I can tell every assignment was challenging and required a significant amount of effort to complete. last year Whats the course like? I also recommend not pairing this course with any others. While some courses in this program feel like MOOCs for credit, this course genuinely feelings like a graduate-level class that happens to take place online. Overall, I really enjoyed the class and I feel it has strengthened both my theoretical understanding and my practical knowledge of many AI topics. Again, I was really nervous coming into this course, but everything was doable and fair. I found it useless, but was annoyed that they expected us to read an entirely new piece of content during an exam. If no sequence can be found, the algorithm should return one of the following tuples: (None, 0) (null), (, 0) (empty The TAs and professor were very responsive. There are 6 assignments, and you could easily put as much time into each of Assignments 1 and 2 as the other four combined. The material is out of date. The material can be math heavy. Assignments are super interesting and intense I spend almost over 20 hours on each assignment, but they are really helping me understand the materials. I had my doubts, and I had an engineering degree, I work in data science field, and thought I could hack it. Took this course as my 2nd in OMS after DVA. Functions to complete: But I did not like the learning environment set by the teaching staff (compared with some other class I have taken in OMSCS). ?), opening the course with adversarial search instead of with actual search algos, and many other small issues. If you end up taking it, hope you enjoy it too and see you on the other side. Its very easy to forget that you have to watch the lectures as well! Difficulty is dependent on prior NumPy knowledge. With that said, the entire rest of the course besides the exam was well done. 35, 35, 43, 46, 52, 52, 56, 49, 45 I liked the course a lot and learned a ton, just dont expect to get your hand held. So my advice is just not to worry so much about the score but rather, enjoy and focus on the knowledge you will gain from this great course. So if you assumed you were good because supplied unit tests passed that would be a dangerous assumption, especially as you get toward the assignment submit date. Learn Git and GitHub without any code! 1 ruined your gpa Some weeks it is nothing. The first two assignments are pretty hard and you need to test for a long time. I am honestly surprised that there are so many positive reviews for this course. It was an unfortunate way to end the class, but I suspect many students like myself didnt need much better than a 50% on the exam to maintain an A grade in the class. I rented the 4th edition of the book and bought the 3rd just in case. 36, 44, 52, 56, 49, 44 Very good course. You might also be interested in this OMSCS FAQ I wrote after graduation. Although if you find the field interesting you will find it hard not to put in more time and will not regret it. Each word consists of Latin letters only. And so you would have 8 lines of code where there was a bug but sometimes you just couldnt figure it out. You will spend 40+ hours on a midterm that didnt really test your understanding of materials but tricks into calculation traps. Anything above the average grade is an A. C is a building being crashed. The professor and the TAs in this course were bar none, the most responsive Ive seen. For me, this structure actually allowed me to learn from the things I did wrong on the assignments without being punished for them which really amplified my learning. I had mixed positive and negative interactions with the TAs. But then, before I had a chance, the TAs revealed that the extra credit on the final theyd promised us wouldnt be coming, due to the fact that we didnt hit an 80% response rate on CIOS. You first move it 1 step to the left since 34 Every question in the exam has typo and errors that requires you to go to Piazza and check for Errata post which is constantly being updated (even before the night which the exam was due). Others in Piazza have noted that the marks gained in each segment of the assignments are not weighed with the amount of time used solving them - I believe this is correct and to be honest Im totally fine with that. Wow! This led to a significant amount of churn over grades in Piazza and Slack and a funny if I help you I might hurt myself dynamic which prevented collaborative learning. Given the generous grading policies, assume there will be no curve. For those of you who are limited on time to devote to the class as I was, my recommendation is to watch all of the lecture videos prior to the start of the semester, and then read and appropriately skim the textbook based on the provided list of topics for the midterm and final, which would provide a much more manageable workload. All resources available (though not confirmed) before course start is also a huge plus. This class is very difficult and will punish you heavily for taking too long to start on the projects. 6 solo projects, highest 5 are 60% of grade (lowest doesnt count at all). Extra Credit - Who has time for this? Exams: There were a midterm and a final both take home exams. the first part is the hardest and gets easy after. Resources . The latter three I found harder as they were more conceptual/theory based. He Thad (and Shirley) did a intuitive and clear introduction to essential AI algorithms, while Peter Norvig did good walkthrough on search, logic, inference, and Sebastian Thrun did good walkthrough on probability and value iteration. I think the course composition of students was pretty elite. If your not sure if this is for you, grab a pen and paper and see if you can back-propagate a neural network having never created one before. Part2a: Multidimensional Output Probabilities [6 Points] Search is coding-heavy and HMM is conceptually hard for me. Make sure you read through the prereqs on the OMSCS site, most of the I wish I had learned this before the class started complaints I heard were almost verbatim from the prereq list on OMSCS. I withdrew mid assignment 2. TAs rarely answered questions on Ed except those closely-related to the assignment. I withdrew from this class after the first 5 weeks. 35, 35, 43 46, 52, 52 56, 49, 45 The worst part? Sadly 30-50% of the time i learn concepts better from other resources about the topics. I had a hard time specially with probability . Projects are coding based, in python. (In general, Slack was the best resource for this class.) I felt I was over my head in some of the Bayesian and Gaussian stuff. Overal I loved this course and I think it was a great first course to AI before taking more ML related courses, as long as youre ready for the challenge. A quick overview: extra credit HW: First 2 assignments are like a (good?) The lectures were a bit underwhelming at places. Heres the thing about this class: the class is curved, so thats good. If you find an incomplete sequence with some Functions to complete: Each project has multiple sections with tasks of scaling difficulty Each project starts with easy tasks, then scales to moderate tasks, then ends with experimental/difficult tasks. This class was one of the most difficult classes I have taken in the program but found it to be one of the most rewarding. I could not keep up. Piazza - This is supposed to be where you can ask for help or advice but theres a good chance itll go unanswered. not sure if all classes are setup with gradescope and unittests for your assignments but i thought this was awesome for this class. However, I have gone into other classes green and didnt struggle like I did in this one. Sure you can ask on Ed for clarification, but good luck on any TA caring to respond, or worse, waiting half of the final week only to get a more misleading hint from TA. Also, give a good amount of attention and time to the midterm and final. Project 2: I actually laughed out loud when I read we are walked step by step and are shown how to code the algorithm and how each algorithm progresses from the previous algorithm. For example, there were a few videos on neural networks (~10 minutes) and no projects covering it. You will most likely need those two weekends allotted for each one. The reasoning behind a living thread of corrections/clarifications was that writing a test is hard. I was physically ill after completing it and had to take a day off work. I was almost about to fail the 3rd assignment because of starting late again and strongly contemplated dropping the class but thank God that I was able to finish the project right before the deadline. Really well structured class with clear goals and deadlines for each week. Some of the assignments were fun, but it didnt set you up for success on the exam. So, he grades based on median being an A and 1 stddev being a B. I found that time to be manageable as long as I worked on the problems in my free time and all weekend. What you get on Gradescope is your score which makes life a little less stressful. git clone . The exams are open book, but are brutal. Personal Background: Definitely get the recommended book either buy it (you will not regret it as it is a great book) or get the online version. It was still a good class even though it wasnt exactly what I wanted. For crying out loud, each one of those squares in the grid was worth like .25% of your overall grade. The assignments are challenging enough to force you read the supplemental materials, which was rewarding and worth the time. Just another 168 hours of trying things, reading things, so much scratch paper, so much googling. Final Exam - I am doing it now (take a break and hence write a review here). Spring 2020 version Worth learning. I personally dont find them too challenging but that is completely subjective. Start early!, they will take a lot of time. If you dont know the material already, dont even bother. This became an issue on the midterm, as there was content that I hadnt seen before. 2 days ago If your are unfamiliar with the math symbols, etc, it could get you.
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