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Вернуться к Биоинформатика: введение и методы 生物信息学: 导论与方法

Отзывы учащихся о курсе Биоинформатика: введение и методы 生物信息学: 导论与方法 от партнера Пекинский университет

4.4
звезд
Оценки: 198
Рецензии: 56

О курсе

A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research. Course materials are available under the CC BY-NC-SA License....

Лучшие рецензии

SM
17 авг. 2021 г.

That was quit different manner of course in means of quizzes but much informative and great for basic learner specially coursera provide help to cross and understand the language barrior distance

JS
10 февр. 2020 г.

Advanced technical course. Please also help design courses regarding bioinformatics concepts, applications and tools needed for biology students. Thank you.

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1–25 из 53 отзывов о курсе Биоинформатика: введение и методы 生物信息学: 导论与方法

автор: Jessica M

24 мая 2020 г.

The course was overall good, but seems to be aimed more towards students with a background in computer science rather than biology - the parts on algorithms were fairly in depth (for me at least) whereas the genetics/biological aspect was quite basic. It was good for learning about how the algorithms actually work, the methods behind them, but didn't have a very practical aspect.

Also, some of the links in the quizzes and exams don't work, making it difficult to complete the questions well.

автор: Janani K

11 февр. 2020 г.

Advanced technical course. Please also help design courses regarding bioinformatics concepts, applications and tools needed for biology students. Thank you.

автор: Wambui K

16 дек. 2018 г.

The course has given me a great way to learn Bioinformatics. I especially loved the mode of teaching and the case studies.

автор: Juliana P

14 янв. 2020 г.

Great course! It would be nicer if the questions with multiple answers had less choices. Some of them are not clear.

автор: Jurat S

13 сент. 2016 г.

great course for bioinformatic lovers

автор: Ling L

10 окт. 2019 г.

This course is extremely useful and has inspired me to continue to learn bioinformatics. Both context and practice presentation are concise and understandable.

автор: Zhu T

7 мар. 2018 г.

this is a good course from china

автор: Николай С

10 апр. 2020 г.

I'm glad that I have enrolled this MOOC. Several month ago I have remembered my school interest - a molecular genetics. I decided to search something about technical and biological aspect of the subject. And if biological aspects were covered by books, the tech - wasn't. So I was looking for an introduction to bioinformatics and choosing between several courses. I needed in wide overview of modern issues, sources (DBs and scientific journals) and problems. The course covers all of them (including some journals like jmb, which I read know). I resolved questions for my self and now, I am able to move next and deeper in specific question. it is "old school" long classic course, in my case it is ideal match.However, course is not support by anyone. The forum is dead (at least 3 yeas). Absolutely awful midterm and final exams. Their tasks are not covered by lectures, don't educated you. Some of them even out-of-date and can't solved (especially in final exam). So even after you guessing answer - you still don't understand why it is correct (forum is dead, remember?). The most number of sections has supplemental reading - reference to original papers, but course doesn't offer any access to the papers and not all of them could be found at sci-hub or exist in open access, so you are not able to read them (unless you a re ready to spend 10+ usd for each). Many supplemental videos are in chines with eng. subtitles with too high speed of speech, so you are not able to read it. Some of them it is recorded student presentations, don't think they were made for the course.

автор: Mo A

15 мая 2020 г.

I think its a very useful course and I definitely learnt a lot. They cover gene alignment, transcriptomics, identify potential databases/tools for searches too. However, the course is very theoretical and more angled towards computational specialists rather than pure biologists. It's a difficult balance to achieve admittedly.

автор: Carlos U P M

20 мая 2020 г.

Lectures consists of videos where the instructor just reads from a script, even repeating himself (literally the same sentence) and making strange pauses. This is for me the main drawback, that really kills the motivation of studying the subject. Many concepts used are not properly explained but otherwise assumed, so external documentation is somewhat essential if one wants to understand what is going on. Also when explaining certain methods (e.g. HMM), I missed the relation with the previous topics. Overall a very sloppy course with much room for improvement.

автор: Uzair M k

8 июня 2020 г.

The contents of the course are outdated and there were a lot of troubles understanding the accent and notions.

автор: Sufiyan M

17 авг. 2021 г.

That was quit different manner of course in means of quizzes but much informative and great for basic learner specially coursera provide help to cross and understand the language barrior distance

автор: Oscar N N V

7 мар. 2019 г.

Es un exelent curso y muy completo para todas las personas que queremos introducirnos hacia la bioinformatica

автор: Sajid A

23 авг. 2020 г.

Very lengthy but worth the time spent on this as you dive in more detail as the weeks pass.

автор: 戚新明

4 сент. 2016 г.

Informative!

автор: Nick

3 мар. 2016 г.

挺不错的,讲得比较容易懂

автор: 孙仁凤

23 мар. 2020 г.

很实用,很有帮助

автор: 陈思思

26 нояб. 2017 г.

很好,逻辑清晰。

автор: Jason Z

3 мая 2018 г.

the first part is very good for beginners but not so good in later parts

автор: 刘诗博

1 авг. 2019 г.

Perfect lesson givem by Peking University! It involves the advanced technology and databases for us to searching informations. This lesson will surely help me a lot in future study.

автор: Mansour S

22 мая 2021 г.

The course met all my expectations. The expanations of Prof. Liping Wei and Ge Gao were very clear. I was able to discover a lot of notions and methods on Bioinformatics.

автор: Amaradeepa S

8 авг. 2021 г.

It was a very interesting course and opened up novel and new ways one can think for finding the predictable and the unpredictable properties.

автор: Eréndira d l F M

24 июня 2021 г.

M​uy buen curso. Los examenes se pueden mejora en estructura.

автор: Nivine C

13 окт. 2021 г.

Thanks you for your efforts in this interesting course

автор: Miyssa I A M

23 февр. 2021 г.

I think its the best MOOC I have ever enrolled at.