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Avis et commentaires pour d'étudiants pour Algorithmic Toolbox par Université de Californie à San Diego

10,112 évaluations
2,144 avis

À propos du cours

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second)....

Meilleurs avis

19 janv. 2021

The course was really amazing which provided deep knowledge from basic to advance that how algorithms works and how to design algorithms. Thanks to all the expert teachers who taught in this course.

19 janv. 2017

I liked the fact that the algorithms are not just the introductory searching and sorting algorithms. The assignments are fairly difficult (I have decent scripting experience), but not impossibly so.

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151 - 175 sur 2,069 Avis pour Algorithmic Toolbox

par Anmol B

2 déc. 2019

problems asked are not explained properly in videos

par Nasim Z

14 juin 2016

Algorithmic Toolbox consists of a series of slides containing slimmed down explanations on introductory algorithmic concepts, followed up with programming assignments. The slides are the centrepiece of the course, as the presenters rarely stray from the bullet points and pseudocode they're comprised of.

I learned a lot during this course. Although, to gain confidence in your knowledge, this is a course that will require you to seek out additional materials to supplement your learning. Perhaps unsurprising being an introductory course, but the presenters struggle when faced with setting expectations.

Throughout the course presenters often gloss over fairly complex concepts, treating them as they were trivial knowledge. This applies to mathematical definitions, proofs where most steps are skipped, tree diagrams without the context of their underlying theory, or bullet points used in place of what could be detailed explanations.

All material is left equally weighted. Rather than providing explanations like: "We don't need to go into detail on this, only x concept from it is important for what we want to focus on. Reference this chapter in this book for more detail." presenters would read mathematical definitions verbatim from the slides and move on. I was often unsure of how much I would need to know about such concepts.

In terms of communication ability, the presenters don't hold up against many of the free/low-cost services I'm accustomed to using, for example: MIT OpenCourseWare, Udacity, edX, Khan Academy, Code School, Treehouse, etc. Perhaps unsurprising, as these competing services often feature professional communicators rather than professional researchers. But the marketplace for quality online education is definitely becoming a competitive one. Users now expect nothing less than presenters with exceptional communication/teaching ability.

In most videos the presenters read verbatim from the slides and motion with their hands to explain concepts that would be better broken down on a whiteboard. Rarely straying from the slides, the times the presenters go into more depth on a concept, you get a scribble in the corner of a slide, lacking the clarity I've come to expect when approaching complex concepts from master educators like YouTuber PatrickJMT or Khan Academy. After a couple weeks into the course, I just went straight to the slides, read MIT's Introduction to Algorithms, and skipped most of the course videos.

But all things considered, the course served as a good curriculum to guide my focus through the introductory concepts, regardless of where I sought it out.

par Viraj D

1 mai 2019

Lack of coding practice.

par Amit J

18 nov. 2017

The auto-grader and py codes are a big let down for me. The auto-grader takes too long to produce a result (more than 1 hour) and for me many a times it has been the case. No one from the organizing team spent any time in resolving this issue.

The py code is a big let down for me. The way i/o is done is pretty lame. There is no print statement displayed that states "Pls give input" etc... For output you need to do Ctrl + Z and then you see the answer. IMHO this is bad coding for i/o.

Organizers need to understand that working professionals are pressed for time and automation should help them rather than frustrate them and lead to loss of time.

par Nader a

7 juil. 2020

This course is so bad, I needed a lot of external resources so i can understand the lectures, the assigments are far from the algorithms explained in the lectures, we cant think and find a solution if we do not get the basics explained well also the usage of pseudo code instead of one programming language

makes everything unclear, the names of the variables does not relate to its reference the professors are just naming any names arr1,arr2,... etc so this causes a misconception.

par Amir M O

20 juin 2019

I wouldn't recommend this course to anyone. Just go on youtube and search for data structure and algorithms videos.

some of the the instructors here have language barrier and it makes it super difficult to go through this course.

No help when you are stuck either.

They keep making everything too complicated and keep using fancy tough math words.

If you are interested in Academic side of computer science take this course otherwise don't waste your time.

par Tian

17 juin 2018

taking this one right now and almost give up. I got no support from the faculty or mentor, questions on the forum are rarely answered. If you get stuck in the problem you are pretty much wasting your time. I am not saying you should look at the answer right away, but if you have no clue what to do, answer should be provided to help. BUT THERE IS NOTHING THERE.

par Pavel T

23 févr. 2020

This course is a complete mess.

1. In week 2 they presented fibonacci numbers solution and they said that runtime complexity is quadratic but in presented solution it was linear.

2. In practical task of week 2 they didn't provide sufficient description about what should be done

3. Language of some speakers is mediocre

par Andrea L

1 sept. 2017

Very unsatisfied. At the end, I feel I learnt nothing.

1 - Explanations not always clear

2 - Too many exercises in the assignments

3 - Some exercise was not very useful and takes much time to understand what they want exactly.

4 - Price is too high per month for this course.

par Magnus P

4 mars 2017

I don't recommend this course. The lectures barely touch on the topics being taught, you are expected to go learn on your own. I learned more from the free Khan academy than from this course. It would have been worth more buying good literature on algorithms.

par Pedineedi N s

31 août 2018

i'm unable to understand why my code is getting an error in your compiler. Because I had checked my code in various online compilers also, It is rediculous and I totally lost my patience since i was trying from past 10 days.

par Rohan G

22 avr. 2018

The course is OK. But there is no mentor to answer the question in the discussion forum. So in case of any doubt no one is there to help.

par Yifei P

24 nov. 2017

Too bad. I do not know how to run the program on my Mac. The professors' voice also made me annoyed.

par Sandeep M

9 nov. 2019

lack of proper explanation and no beginner friendly content.

par Payam K

18 juil. 2019

The instructors are terrible at teaching.

par Murali M K D

13 juin 2020

Well structured in terms of the flow. Covered all the design principles and paradigms. Best thing is that the assignments cover lot of standard algorithm questions and have perfect blend of already covered algorithms and uncovered ones. I can already see most of them relevant to my field of Data Science. I think the unique thing about this course and specialization is that most of the courses cover Data Structures first and wind up discussing more about LL, Stacks, Queues etc, and neglect the problem solving aspects. However, this specialization takes a reverse turn where they explain the standard Algorithms first and then later introduce DS as a means to solve advance problems. Going on to my next course in specialization. Thank you UCSD, NRU and Coursera :)

par Vaishnvee S S

30 août 2020

The course was really helpful for me to understand Algorithms which is the basics of programming. However, I feel the 'Dynamic programming' part was explained is really too Good. This course was very interesting and helped me to understand algorithms more deeply. I strongly recommend everyone to take this course who is thinking to know a lots of about Data-structures and Algorithms. Great tutors and the doubt solvers who consistently helped me with lectures and discussion forums and also for helping me enhancing my skills specially on Dynamic Programming assignments. Thank you Coursera Amazing course! Motivated!!

- Vaishnvee Subhash Shinde

par Sanjana B

30 mai 2020

This was a very good course. I learned a lot of algorithmic problems. I liked it that they don't force you to complete all the assignments. You can complete the course by solving the problems within your reach and pass the criteria. Also, the number of problems is perfect. Neither too less, nor a lot. I had fun solving the problems. Since, I used Python 3, I didn't get most of the errors that many other people encountered (stack overflow, integer overflow, using vectors etc.). I wish I could see the test cases after passing the assignment, so that I could know what tests were cleared by my submitted code.

par Sathvik G

22 juin 2020

The course has very well laid syllabus. Learnt a lot of important techniques, different types of approaches toward a problem, they don't have elaborate explanations to many problems which at first made me disappointed but that turned out to be the best part, you will not grasp some topics towards the end of course at first, the key is to keep digging through other resources on net and to not be discouraged. Wouldn't have learnt if everything were spoon fed. Thanks to all the professors. T'was great overall.

par Jasmeet S B

5 oct. 2020

Awesome ,The Course and Instructors Push You to Figure Out the Solution And do the hard part on Your Own Which Eventually Helps To Carve Your own Path And Makes Learning More Self Driven , Though If U Just Follow Along and understand the algorithms in the video Lecture U wont Even Need External Resources To Complete It. This Course Lets U take on A Practical Approach How the Algorithm Are actually Useful In the Real World.

Cheers To Knowledge...:)

par Rahul R

10 sept. 2020

Time Limit Exceeded !! Memory Error !! These Errors have always ruined my programming endeavours, but this course was immense useful, the faculties were on top with killer concepts and superb explanation to some tough but immensely required concepts to build quick efficient Programs. I would highly recomemend anyone who has suffered a lot on the above problems to take this course and get a Immense Boost to their programming Careers.

par Puneet M

18 nov. 2020

I'm impressed by how quickly and well things were covered in this course. I come from a maths background but with not-so-much exposure to data structures and algorithms. This course helped a lot, so I'm very glad I studied it.

Not to mention, I've never been able to properly wrap my head around dynamic programming. Now I actually feel comfortable with it! Thank you to the instructors on this course. I look forward to learning more.

par k190251 M K

6 mai 2020

This was a pretty amazingly planned course. It was like climbing stairs: at first, it was easy and then a little difficult and very difficult at last. Some problems took days just to solve them according to the time provided, and thankfully for some problems, hints were provided. I would suggest this to everyone, this is one of the best courses for Algorithms because of the organized material and skillful and helpful instructors.

par ftgo

2 juin 2020

This is the best online course I have already participated. Although challenging, it is well organized and is full of references, resources and iterative puzzles. It has a high level team of instructors, each one doing a great job to teach the best of computer science: algorithms. The forums are pretty rich and the moderators are highly active and supportive. I am very satisfied and motivated to keep learning from them.

par Akintimehin A O

13 sept. 2020

Wow!!! I'm actually super delighted that I've been able to complete this course. It was a great experience for me altogether because I have been so passionate about learning algorithms so I can get a job in a top company in the US, UK or Canada. I really want to thank Coursera for the opportunity to learn under great tutors. I'm super excited, and would recommend this course to anyone willing to learn algorithms.