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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

4.5
звезд
Оценки: 161
Рецензии: 46

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

JS

Feb 11, 2020

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

WK

Dec 16, 2018

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

Фильтр по:

26–43 из 43 отзывов о курсе Биоинформатика: введение и методы 生物信息学: 导论与方法

автор: 赵利杰

Dec 02, 2016

very good

автор: shang l

Jan 22, 2018

Great!

автор: 杜怡蒙

Dec 07, 2017

非常棒

很实用

автор: zhangguilan

Dec 20, 2017

goog!

автор: Charity D

Feb 10, 2017

非常好

автор: 张国成

Nov 25, 2017

很好

автор: Hlushchenko D

Nov 04, 2019

Awesome course, helped me a lot. Most of information is useful and given in an understandable way. But several problems should be adressed: some reseources, like KOBAN, are inaccessible (at least for some countries, but i suspect that for all but China), so some question in the tests are only to be solved by random. Also, some lectures (i. e. those about using NGS software) are not useful or understandable at all, especially for non-chinese students.

автор: michaelcao1997

May 01, 2020

建议直接上B站看翻译的中文版本,入门确实比较困难,如果没有计算机基础的医学生还是斟酌一下时间性价比。高/魏两位教授能够深入浅出地讲授核心的概念,但是本质上Bioinformatics还是一门实践课程,希望以后我以后运用bioinfo相关知识时,不会忘记这里给我的启蒙。

автор: Akansha s

Jun 13, 2016

I am looking forward to attend this course from China's number one university

автор: 何民强

Nov 24, 2017

it is very useful for me and my classmates,which make our stady a lot.

автор: Manoj S L

May 20, 2020

I learn many things. Thank you

автор: Eder A F L

Aug 03, 2020

Great

автор: 南书锋

Dec 04, 2016

内容很充实

автор: 王思雨

Mar 13, 2018

GOOD

автор: Jessica M

May 24, 2020

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: Mo A

May 15, 2020

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: Julia F C

Jun 18, 2020

Esta buenas las primeras clases, luego se complejiza aun mas,es dificil pero puede hacerse.No me gusto mucho la idea de realizar un examen a mitad del curso si ya uno tiene un examen final, no entiendo para que.

Mas alla de todo las clases y los articulos recomendados son muy interesantes.

автор: Israa S S

Feb 15, 2019

Not what I was looking for !