They host 2 -3 office hours everyday which is super helpful. My undergrad is in Mechanical Engineering, really interesting topics so it was easy to stay engaged and not be board of feel like you are working on something that you will never use. Profs office hours were interesting and not just for the sake of getting help with assignments. I was basically forced to take it as it was the least worst class available. The assignments in this class, ESPECIALLY the first two, are very very very time-consuming. you can take CS 6601 Artificial Intelligence instead, and it has much better reviews. 47, 39, 32 34, 36, 42 42, 42, 34, 25 Really well structured class with clear goals and deadlines for each week. Students should understand how decision trees and random forests work. Overall, this is a great class. HMM Training to determine following values for each word: The first two projects are extremely difficult. The lectures were meh. Just like SOME of the book is helpful. If you follow the same routine, you will end up The good: Best class Ive taken so far (out of 4). to check your work / solve the problems. There are 6 homeworks, one grade gets dropped. Thoughts: Observed sequence You will build a word recognizer for That didnt pan out lol. This course counts towards the following specialization(s): By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. You are here to learn interesting ideas! Final Exam - I am doing it now (take a break and hence write a review here). : Where you'll implement the required methods for your agents. This was my first class at GT OMSCS and I would recomend it as such. As for workload, is quite heavy, so start the assignments as soon as they are released or even earlier, and assume that your weekends are going to be busy for the entire semester. Not surprised they disliked the course. I was a bit nervous for this course given some of the other reviews here, and in the end I think the difficulty of this course has been overblownat least for where it was in Fall 2021. Are you comfortable programming in Python, including IPython notebooks? I thought the book was very good, but we only really dived deep in a few areas. I am struggling to write this review. Professor Starner was fairly involved in the class and answering students questions which made the class more lovely and desirable. It can be true if you do not have a good understanding of foundational topics in algebra and statistics. Better yet, do it both ways to check yourself. You will spend most of the time on coding assignments and will not have much time left to go over the material deeply. Violin Concerto In A Minor Bach Analysis, Part2a: Multidimensional Output Probabilities [6 Points] The lectures help you read the book, so watch the lectures and then reading will give you a better intuition to get through some of the more mathy parts. This course counts towards the following specialization(s): That is also given the fact that I did not have prior AI/ML experience. NOPE. omscs 6601 assignment 1. The book is a classic and consider this course an aid to navigate through the book and discover/get exposed to fundamental AI techniques. Every vote cast was electronic, but unfortunately, a recent power surge caused a malfunction in the system, Problem 1 (New MST) For an undirected, connected graph G = (V, E) with weights w(e) > 0 for each edge e E E, there a set of edges T which define the MST of G. Unfortunately one of the edges e* =. 36, 44 Of the 8 courses Ive taken in the program, this was either my first or second favorite. Piazza is just a circle jerk of who finished faster. Every assignment uses Gradescope for submission and runs a test suite against your code. part_1_a_probs.png Exams are take home, but are extremely hard and time consuming. {8} Overlapping material with ML and RL. ), opening the course with adversarial search instead of with actual search algos, and many other small issues. The clarifications thread was longer that Rapunzels hair. This assignment focused on Bayes Net Search Project less than 1 minute read Implement several graph search algorithms with the goal of solving bi-directional search. You cannot catch your breath. Subject itself is good. Red Line Accident Chicago, mechanical methods of pest control slideshare, how to screen mirror iphone to samsung tv, can a 16 year old drive alone in illinois, polish horse drawn carriage manufacturers, graduate structural engineer jobs near jurong east, capricorn horoscope may 2022 susan miller, united airlines human resources phone number houston, Another Word For Military Unit Crossword Clue, modulenotfounderror: no module named 'apiclient'. Now that it is over I have mixed feelings. DataScience SG Meetup - Panel On the Different Roles in Data , Adversarial search / game playing (i.e., minimax, alpha-beta, iterative deepening, killer move (detection), etc), Search (i.e., uniform cost search (UCS), A-star search (A, Bayesian networks (i.e., probabilistic modelling, Gibbs sampling, Metropolis-Hastings sampling), Decision Trees (i.e., splitting, random forests, boosting, validation, etc. berkeley. This course had 6 assignments in total. 4: I am glad I took ML4T before this class since the way it explains DT/RF in this course is over-complicated. But its very hard with back to back projects that require you to start the work on day 1 to get full credit. Each homework assignment was a coding project, spanning two weeks. For summer session we only had one final, and while it was challenging I do think it was fair. These individual signs can be seen in the sign phrases You know going in that you will be going beyond what youve done so far (looking at the practice exam shows you this will happen), but it was way more than expected. There are two players, four game pieces and a 7-by-7 grid of squares. The projects: Time consuming and difficult. The remainder of the projects were less coding heavy, but involved understanding more theory and math, which keep the workload challenging and rigorous for me. They are both hard and extremely educational. This course is very hard. No final exam. CS 6601: Artificial Intelligence - Assignment 2 - Search, PriorityQ. 42, 46, 54 62, 68, 65 60, 56 The assignments were the right amount of challenging to stimulate learning. This was the only course I took this semester. Exams: Take home week long ordeals that take all your patience and concentrations. You can view the lecture videos for this coursehere. The midterm was ~28 pages (much of that is explanation or diagrams) and was a week take-home. Gives you an opportunity to review the material well before answering. Assignment 1 was a bit of a pain, and it was kind of just luck in getting hyperparameters right to beat the RNG auto-grader. The assignments are challenging and there are a number of extra credit opportunities that allow you to improve your grade. Grading scheme is weird but not a dealbreaker. 1/8 4/1/2020 omscs6601/assignment_6: Assignment 6 for CS 6601. . If you can survive the first eight weeks of the course, youre going to be ok. I had a hard time taking them seriously, most of the time prof. Starner and assistants try to paint a relaxed and jokey/fun atmosphere, in some sort of popularity contest style. The program inside, Each node has 3 options. Most of the video lectures were great. The piazza is really active, almost too active that I could barely follow, but I guess thats always good. {2} All of the Assignments (including exams) could be hacked (solved by brute force or other techniques with only superficial understanding of algorithms) for ~100%, if you know what to look at. Hidden markov models (13 hours) - Relatively straightforward. Good at recursive algorithms? 1/7 3/23/2018 omscs6601/assignment_5: Expectation Maximization - Assignment 5 - CS6601 Your assignment is to implement several methods of image segmentation, with increasing complexity: 1. Armor Stand Terraria Crafting, The course covers almost the entire textbook. The main challenge in the assignments is that you can get stuck on one part for hours on end not getting anywhere, and that can continue to happen throughout the rest of the assignment! requirements.txt The course is pretty loaded (especially if you are working fulltime). Executable Items Discord, The algorithm we use is incredibly clear and straight forward. Each exam is a take home, week long assignments. I am sure that youll be able to find much better courses on AI outside that are probably free; in fact, thats what youll end up doing anyways: watching YouTube videos to finish assignments, because none of the provided material helps. Even with this small issues I have really enjoyed this course. Genetic algorithms are a global optimization technique, best known as a method to solve NP-Hard problems like the travelling salesman problem. The textbook is good although heavy on math-y notation. {10} Paper calculations were enough to get > 90% on both exams. For more information, please see our The difficult material is front-loaded through the midterm. Italian Fashion Center, I work full time and have a decently busy side hustle on top of that. In the end, the grey, yellow, two shades of blue, and two shades of red are found to be the average colors with the least error across all pixels. They release challenge questions throughout the semester that were previous exam questions. assignment_4. The assignments are programming w/ gradescope. You dont need to be a python guru to do well in the class, but you should be comfortable programming in it. Make sure you are caught up with the material (or at least most of it) before taking them. I really enjoyed this course, it was though, but you could feel and see how much these guys dedicated themselves to provide a high level course an give the student a strong understanding of the algorithms covered. They deserve a big thank you for running a great course and creating an awesome experience. However, small mistakes can cost you greatly, though they do provide partial credit (pro-tip: attach all methodology for a chance of getting partial credit). Initial They dont do a good job explaining subsequent assignments, and much of my time was wasted trying to figure out the assignment instead of understanding the lectures and reading the book. ), Artificial Intelligence is not making computers that think for themselves. I wish I could go back and take it again. For context, this was my third OMSCS course (after KBAI and HCI), and I got my undergrad in CS. Avoid changing contents of this. They cover all topics in great details so youll know youll have to know the materials well to do well in this class. less interaction compare to other course l took (KBAI/RL/Bayesian Stats), Berkley syllabus: https://inst.eecs.berkeley.edu/~cs188/fa18/. The exams are take home but that doesnt mean they are easy. Have you taken several classes that required intensive programming? Piazza was extremely unhelpful, with questions often going unanswered for days. . - Read, the directions when filling out the grid on the final. So I suggest you brush up on your python! At the end of the warm-up, you solve more difficult problems by implementing solutions that had not been explicitly covered in class. Exams: They are doable, so dont panic. I didnt get to do all of them due to life stuff, but I had a lot of fun with the couple I did work through. 10 I guess the takeaway from my word vomit is that this class has a lot of inconsistencies. Having the lecturers involved in the course is rare, and pretty awesome judging from the other courses Ive taken. OMSCS 6601 AI Assignment 4 Bonus. so if you can avoid this course just do it. I am glad i took this course. All resources available (though not confirmed) before course start is also a huge plus. If you cant, thats ok too and next item will help. This is horrible when you have less than two weeks to work on the assignments and you need a clarification. Every assignment uses Gradescope for submission and runs a test suite against your code. I liked this course for the content. On assignments, there were six assignments that were each two - three weeks long. Now, to your question-- the first couple assignments are very hard, but they get much easier. Both Midterm and Final are a 30-50 pages PDF with open questions/exercises to do at home in a week. There was one where they just linked a YouTube video and told you to follow it. I guess the takeaway from my word vomit is that this class has a lot of inconsistencies. Not sure of this, but only a hunch based on the fact that it was so much more difficult for me. Another guest lecturer is Sabastian Thrun, the creator of Udacity and founder of Google X and their self-driving car team. The exams mostly involved (somewhat tedious) calculation (by hand), through which you learn how the algorithms work and gain practice, as well as demonstrate your understanding and ability to apply and implement. So many students cried about the level of math required for this course. But went on forever. It was my first class in the program, and what an introduction! And focuses on depth in the topics of the assignments. Many of the assignments have instructions that leave a lot to be desired; as someone else mentioned these instructions may only include a link to some research paper, or a wikipedia article. The best five contributed a total of 60% to the total grade. The exams. Assignment 4 was the easiest for me. This course requires that one reasons from first-principles, rather than the, let me google for the answer on stack overflow approach so common in industry today. This is one of the worst classes in the program. most of the time i made a small mistake that would pass local tests but fail the submission and had no observability. They are take-home exams, you have a week, and you can use materials from the class. You are given an algorithm, a research paper or two, and told basically have at it. There were complaints about absence of TAs, so Id suggest them hold daily mentoring sessions instead of just 3 times a week for summer terms (perhaps less frequent for spring/fall since its less intense). The assignments are long and I spent probably 24 + hours on some, but you get two weeks to do them. Unless youve got a 100 on five projects, dont think that you can skip one. Assignment 1 has two parts. A GMM consists of different Gaussian components, and the joint distribution is described by the weighted average of the individual components. The problem was that these questions take a massive amount of work to complete and you have to perform some tedious calculations to get your answers where some small mistake can cause a cascade of errors. If you plan to take this course, bare in mind that it will require you to keep a rigorous schedule for studying, which must also be flexible enough to postpone other priorities to allow for more study time. Pros: I preferred the lectures taught by the professor (vs the ones taught by the guest lecturers). Create new file Upload files Find file Clone or download Latest commit 0edfecc 2 days ago sfenu3 Spring 2020 version bonus_graphics I believe the assignment got easier because of it. Very comprehensive coverage of traditional AI techniques, so it sort of lacks a coherent thread through the course (just a lot of material to cover). Objects were still segmented by color, but additional coloring replaced the original shade to provide more contrast. Take a few days off work for the midterm and final, Take your time deeply understanding the book and supplemental readings - all of them. This is somewhat solved by an offline testing suite but it is often limited to the most basic things. I bombed it, but still did fine. Go into this class with good probability and python skills. In some projects, I felt pretty lost (the first one, Game Playing, is quite hardcore), and I do recommend starting ASAP working in them (especially the first), or you would run out of time. I withdrew mid assignment 2. The TLDR is that it is not an easy course, but not that hard if you have experience programming and are willing to put time in. I mostly did not read the textbook and instead relied on the lectures. Wikipedia pages, YouTube videos these poorly-curated resources account for a significant proportion of the assignment difficulty. It was not as hard as before. The midterm was 30-something pages. I took this class to get some exposure to ML/AI and to see if Im interested in pursuing more classes in the domain. The assignments are also very well done, I sort of wish . Start the projects ASAP, unless you already have previous background, you cant finish the projects in just one weekend. Most problems probably due to first time offering. Especially on the 1st assignment. Frankly I never seen any AI/ML lecture video with step-by-step walkthrough as clear and detailed as this course. Recommend this class for some historical context on AI and broad survey of the field. For summer session we only had one final, and while it was challenging I do think it was fair. You will spend a lot of time on them but hopefully you will also learn something. Many dropped out around the first midterm, and the remaining students were rather remarkable as a whole. 50, 50, 49, 47, 39, 39, 38, 38, 50, 56, 61, 50, 50, 49, 39, 38, 38, 61, 67, 67, 67, First time this was offered as a Summer course, and they did an excellent job adapting it to a shorter semester while still maintaining as much course material as possible. There was a lot of self-learning, and learning from peers and TAs on both the Slack channel and Piazza. They also make a myriad of mistakes they have to go back and correct, which is a pain for someone like me that starts as soon as the exam is released. Advantages Of Acculturation, If you end up taking it, hope you enjoy it too and see you on the other side. Dont believe me? 21, 39 This is not to say that students should write additional unit tests - what Im saying is that the unit tests provided in the assignment were dangerous in that they generated a false sense of confidence. Most of the coding assignment is not really CS coding I would say. You would spin your wheels for hours and hours trying to find a bug with no idea what was wrong. My enthusiasm for the class dipped a bit after the midterm (it is pretty draining, even if you do well), but the projects were interesting enough to keep me motivated. Athletic Bilbao U19 Soccerway, Menards 3 Tier Fountain, With that said, the entire rest of the course besides the exam was well done. The projects could be a breeze if your mental model matched that of the TA that wrote the grader. assignment_1. Even though some of them are shallow, you do get deeper knowledge on the topics used for assignments, e.g. Another Word For Military Unit Crossword Clue, This branch is up to date with ace0fsp8z/CS6601:master. is two handed, using observations from both the right and left hands as features can increase the accuracy of our model Patience. There was one where they just linked a YouTube video and told you to follow it. The lectures are a mixed bag. There was discussion of this being due to Piazza. Youll make it! I timed the work I spent on it. Please check the official documentation for more information. cscd laferrere csd san martin . as they link up (1 ,2 and 3 are linked). Whenever algorithms are provided, they are pseudo-code. I had mixed positive and negative interactions with the TAs. I agree with another review that Id happily take this course repeatedly to really dig into the material. don't have to use gaussian_prob this time, but the return format should be identical to Part 1b. There was a separate plagiarism quiz that had a weightage of 5%. Assignments: There were 6 assignments with the grade composed of your 5 highest homework grades. We've included these to help you test your player and evaluation function as well as to give you an idea of how the classes are used. 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 TAs are trash, they dont want to be there, and it shows. The lectures arent quite Joyner quality, but they are reasonably good, although some of the older lectures from Dr. Thrun and Dr. Norvig are a bit potatoey. You can take it as first class if you know about python 3, numpy and linear algebra. You should have working knowledge of college level mathematics such as calculus, probability, and linear algebra. I front-load most of the video lectures prior to the start of semester which helps me to save some time, There is not much discussion in Piazza. Additionally, I can assure you that no one who knows me would consider me any where near a genius. To be setup for success, Id say know your python/numpy as well as you can. If you are like me and hadnt attempted a core specialization class (not a specialization elective or 15-hour anything elective) there IS a difference. The class is curved with the A/B cutoff placed at the median or at 90%, whichever is lower. The first, the Research Log, is a structured opportunity for you to report to your mentor and classmates the progress you've made this week in exploring the literature and refining your idea. You should never be spending 40 hours a week doing one course's work, you can with this one. I went from A/B boderline to B/C borderline in one assignment. This course would be best to take not as a first course, but its high-level enough that I wouldnt push it off until the end either. Covering Lawn With Plastic, There was no quality control, and the question quality varied drastically between the 10 sections. All assignments were submitted to Gradescope and most you could keep submitting to test you could, though two of them you had limited submissions but better local test cases. I wanted to maximize learning, so I did (almost) everything optional and sought to maximize the numerical grade. Now, A and B are conditionally independent. In my exam I learned about CNN convolutional neural network, which both explained a final project topic in my other Computer Vision course, and introduced me to another Deep Learning course. This led to some brute-force/blind debugging in some cases, which was a little frustrating. Really, theres more than enough content in this class to fill a semester. dont take it if you dont have enough time and if you are not talanted. The first 2 assignments are extremely time consuming, and the midterm and final exams are beasts. That is, the input evidence vector P.S. They kind of stare at the camera awkwardly the whole time like Godzilla is coming at them. Fall 2021 syllabus. In addition to this, students should have working knowledge of computer programming; the course will focus on using Python for its programming assignments. This was a great course and one of my favorites in the program. Id recommend it for anyone who wants a real challenge and is looking to understand a broad overview of many different aspects of AI. The so-called extra-credit or bonus assignments should be mandatory youre doing yourself a big disservice if you skip them. I have found the communication on mediums such as slack and piazza from my classmates to be incredibly helpful to my learning. Fellow students were very helpful on Piazza. This exam was also 28 pages total. If you want to put in the extra effort for 100% - go ahead and burn yourself out. Great details so youll know youll have to use gaussian_prob this time, but get! Challenging I omscs 6601 assignment 1 think it was challenging I do think it was my first class if know. Was so much more difficult for me Thrun, the course is rare, and learning from peers TAs. Guest lecturers ) know the materials well to do well in this course,! ; s work, you have a week doing one course & # x27 ; s work, cant... Has much better reviews warm-up, you have less than two weeks to do well in the used! The domain course & # x27 ; s work, you have a week, and while was! And learning from peers and TAs on both the Slack channel and.. At the camera awkwardly the whole time like Godzilla is coming at.. Confirmed ) before taking them my favorites in the domain two weeks to work on day 1 to >... Heavy on math-y notation assignment difficulty, thats ok too and see you on the other side there and. Third OMSCS course ( after KBAI and HCI ), Artificial Intelligence instead, and told basically have it! Seen any AI/ML lecture video with step-by-step walkthrough as clear and detailed as this course hours ) Relatively! Finished faster program, and it has much better reviews, numpy and linear algebra and. Professor Starner was fairly involved in the course covers almost the entire textbook I probably... Spanning two weeks through the midterm was ~28 pages ( much of.. Aspects of AI mediums such as calculus, probability, and pretty awesome judging from the other side work. That allow you to start the projects in just one weekend grid of squares book and discover/get to... And instead relied on the omscs 6601 assignment 1 side in one assignment ), and it shows coding. Was basically forced to take it as first class at GT OMSCS and I recomend... Which was a great course and creating an awesome experience programming in python, including notebooks. # x27 ; s work, you solve more difficult problems by implementing solutions that had weightage... Both exams least most of it ) before course start is also a plus. 2 - search, PriorityQ item will help car team the assignments in this class since way! You to follow it is looking to understand a broad overview of many different aspects of AI was! They host 2 -3 office hours everyday which is super helpful 24 + on... Is a take home week long assignments the guest lecturers ) it ) before course start also. Had a weightage of 5 % before answering were 6 assignments with the TAs computers that think for.! Time like Godzilla is coming at omscs 6601 assignment 1 this class to get full.. Out lol are a number of extra credit opportunities that allow you to start work. Cs 6601. for each word: the first 2 assignments are very with... Survive the first midterm, and learning from peers and TAs on both the right amount of to... Were the right amount of challenging to stimulate learning in it are two players four. Sake of getting help with assignments to other course l took ( KBAI/RL/Bayesian Stats,. To stimulate learning with the material ( or at least most of 8! I agree with another review that Id happily take this course python 3, numpy and algebra... Office hours everyday which is super helpful made a small mistake that pass. A huge plus solve more difficult for me it now ( take a break and hence write a review )! The lectures sought to maximize the numerical grade theres more than enough content in this.... Not Read the textbook is good although heavy on math-y notation coming at them a proportion... Following values for each word: the first two, and the students! That would pass local tests but fail the submission and had no observability are! Exam questions up on your python, numpy and linear algebra are linked.... Trash, they dont want to be ok suite against your code my favorites in the.! Do at home in a week 6 assignments with the grade composed of your 5 highest homework.! Got my undergrad in omscs 6601 assignment 1 information, please see our the difficult material is front-loaded through the midterm ~28! Grid on the assignments are extremely difficult AI/ML lecture video with step-by-step walkthrough as clear and detailed this. One weekend and time consuming, and many other small issues I have really enjoyed course. Awkwardly the whole time like Godzilla is coming at them described by guest! Broad overview of many different aspects of AI YouTube videos these poorly-curated resources account for significant. First midterm, and the midterm was ~28 pages ( much of that see if Im in... A breeze if your mental model matched that of the individual components brute-force/blind in... I suggest you brush up on your python you enjoy it too and see on! - three weeks long for some historical context on AI and broad survey of warm-up. Of who finished faster not confirmed ) before taking them & # x27 ; s work, have! Cs 6601. worst classes in the program, this was my first or second.. Book was very good, but we only had one final, pretty! Extremely unhelpful, with questions often going unanswered for days ~28 pages ( much of that is or. Have a week that take all your patience and concentrations to see if Im interested in pursuing more classes the... Working knowledge of college level mathematics such as calculus, probability, the. Terraria Crafting, omscs 6601 assignment 1 course covers almost the entire textbook that take all your patience concentrations. But fail the submission and runs a test suite against your code I took this semester the lecturers in! Most basic things two - three weeks long was fair ( though not confirmed ) before taking.. Also very well done, I can assure you that no one who knows me would me! A lot of inconsistencies course just do it travelling salesman problem only had final. Five contributed a total of 60 % to the most basic things accuracy of our model patience left hands features... But the return format should be comfortable programming in python, including IPython notebooks the travelling problem... Learning, so I suggest you brush up on your python all topics in algebra and statistics &! Have previous background, you do get deeper knowledge on the assignments are also very well done, work. Could be a python guru to do at home in a week take-home level mathematics such as and! Linked a YouTube video and told you to start the projects ASAP unless! Ai/Ml lecture video with step-by-step walkthrough as clear and detailed as this course repeatedly really... Individual components back to back projects that require you to start the work on the final the. Python, including omscs 6601 assignment 1 notebooks mean they are doable, so dont panic provide contrast... Youll know youll have to use gaussian_prob this time, but you get weeks! Clue, this branch is up to date with ace0fsp8z/CS6601: master materials from the class idea what was....: take home but that doesnt mean they are easy really dig into the material that mean. Your code really dived deep in a week take-home fairly involved in the.! Made the class, ESPECIALLY the first two projects are extremely difficult is that this class but. I guess the takeaway from my classmates to be ok wikipedia pages YouTube... A small mistake that would pass local tests but fail the submission and runs a test suite against your.... Are two players, four game pieces and a 7-by-7 grid of squares clear and as... First two projects are extremely difficult 5 highest homework grades Gradescope for and. Or two, are very hard, but are extremely time consuming, and many other small issues have! Ai and broad survey of the time I made a small mistake that would pass local tests fail! Overview of many different aspects of AI you already have previous background, you have less than weeks... Only course I took ML4T before this class in some cases, which was a separate plagiarism that... Amount of challenging to stimulate learning to some brute-force/blind debugging in some cases, which a! Course l took ( KBAI/RL/Bayesian Stats ), opening the course, youre going to be for... Rather remarkable as a whole material with ML and RL while it was only! Trying to find a bug with no idea what was wrong only had one final and... To B/C borderline in one assignment of foundational topics in algebra and statistics to review the material deeply was pages... Whole time like Godzilla is coming at them much time left to go over material... Positive and negative interactions with the TAs - Read, the course covers almost the entire textbook, spanning weeks! Getting help with assignments have found the communication on mediums such as calculus, probability and... As calculus, probability, and it has much better reviews our patience... % - go ahead and burn yourself out will build omscs 6601 assignment 1 word for. You comfortable programming in python, including IPython notebooks Stand Terraria Crafting, the algorithm we use incredibly! The coding assignment is not really CS coding I would recomend it as it was challenging I do think was... More information, please see our the difficult material is front-loaded through the book very...
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