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學生對 加州大学圣地亚哥分校 提供的 Biology Meets Programming: Bioinformatics for Beginners 的評價和反饋

4.5
720 個評分
194 個審閱

課程概述

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, "Finding Hidden Messages in DNA" (https://www.coursera.org/learn/dna-analysis). Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz. Lecture videos are also provided that accompany the material, but these videos are optional....

熱門審閱

DL

Apr 18, 2016

I give this course 5 star because I did Bioinformatics I and I totally enjoy it.\n\nThis is where programming can be fun, and practical, and you'll learn some basic biology too.\n\nWhat's not to love?

HL

Aug 16, 2017

I learned a lot from this difficult and time-consuming course! It covers biological concepts using Python. It made learning Python more interesting for me, since I have always loved biology.

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151 - Biology Meets Programming: Bioinformatics for Beginners 的 175 個評論(共 189 個)

創建者 Rachel B

Oct 13, 2018

A heavy emphasis on Python using codeacademy's python course. I have been trying to learn python anyway so it complements what I was already doing. I like the integration of biology and tech used. Because I do not know python yet, this is a lot more time and work than other courses I have taken through coursera. I am working through the free version but might restart the paid course to earn the certificate when I am done with the other paid certificate I am working on.

創建者 Aditya P

May 10, 2019

There was some really interesting information covered in this course. However, the programming assignments and explanations seemed unpolished, there were lots of typos or explanations that were simply unclear and confusing, and the randomized algorithm section made it unclear whether I was getting the coding exercises wrong due to a mistake in my coding or whether it was due to the random nature of the algorithm. Having us use a random seed for these algorithms would have cleared things up. Overall, OK introduction to the specialization, but I'm hoping the courses in the specialization will be better prepared.

創建者 David G

Jul 18, 2019

Very interesting course. Thanks for putting it together.

創建者 Markella M

Jul 19, 2019

When it comes to the subject and the learning outcomes, I would rate 5/5. However the methods and the exercises would rate quite lower. Often it's really hard to understand what is wrong with your submissions and the hints given are minimal, so it's not uncommon to be stuck in an exercise for hours not knowing what you're doing wrong. It might be an entry level course but the material is quite demanding if you don't have a programming background. It was the second time I attempted it, the first one was a couple of years ago and I gave up after the first week. This is why I would say that the time required for the completion of this course is wildly understated. Other than that, as a biology graduate I found the skills learned during this course precious. I got hold of some basic Python commands, learned how to implement them to answer questions of biological nature and started thinking a little bit like a programmer. If you have the time and the patience, I would recommend this course.

創建者 Michelle B V

Jul 27, 2019

It was a great course!

創建者 Miles D R

Jul 31, 2019

Fun!

創建者 Mukund P

Aug 04, 2019

The programming sections of the course are not great. The lack of conventions being followed makes programming become quickly confusing. More mnemonic naming would have prevented hours of going back and forth to check which code snippet exactly is being referenced. The course structure is good and delivers on its title of Bioinformatics for beginners. It is more structured like a case study on how you can use computer science to solve problems of biology.

創建者 高文强

Aug 15, 2019

循循善诱,解释较为清楚,但感觉对于编程初学者并没有特别友好。

創建者 Elias S

Aug 26, 2019

Had a lot of fun doing this =)

Despite the fact that the images in the stepik.parts havnt been loaded at some times and the quizes kept annoying, when my computed answer should´ve been wrong :/

創建者 Yash G

Jul 10, 2019

A lot to learn, but still not very east for sure

創建者 Jixiang P

Sep 16, 2019

The course is too easy even as a beginning level course

創建者 Caroline C

Jun 13, 2019

I already have python background so it is good for me. Maybe not suitable for beginner who doesn't touch python before.

創建者 Nabisubi P

Oct 24, 2019

tasky

創建者 Greg T

Oct 28, 2019

A stimulating and engaging survey of elementary bioinformatics algorithms (searching and pattern matching) with the added bonus of practice with Python.

創建者 Xue, L

Oct 23, 2019

lecture video will be better than words

創建者 Xiaoyu L

Mar 31, 2018

The content is interesting, but the staff does not provide helpful feedbacks, and I really do not like the fact they assume the test case is always right, where it might not be. Quite frustrate when struggling on one question when the code is absolutely right.

創建者 Prashant M

Jul 23, 2017

Further reference material needs to be added in my opinion. There can be participants from only Computer Science background and there can be students from only biology background. Hence i think reference materials could aid a participant's understanding a lot.

創建者 Grzegorz A K

Nov 04, 2016

Pros: a lot of programming in automated online environment.

Cons: inconsistencies in code like changing parameter order in often used functions, changing structure of some variables (arrays become dicts). This can be unneccesarily misleading.

創建者 Roger T

May 01, 2016

This is not a beginner's course unless you already have previous programming experience. The Python lessons are just samples taken from a completely different curriculum on Codecademy and poorly integrated into the bio-centric course content. The lessons are disjointed, taken out of context, and some of the examples are using the wrong version of Python and missing parentheses. It would be a lot better if they took the time to actually craft custom Python lessons designed specifically for this course instead of using ill-fitting lessons from other classes.

創建者 Linyi Z

Jun 21, 2017

the instructions in the stepik notes were unclear. i would say the optional lecture video was better

創建者 Rubén d S I

Feb 20, 2017

Very interesting but i don't like switching e-learning platforms

創建者 Nethraa K

Jun 14, 2017

It's a great course for people who know Python or have some sort of a background in coding. However, for starters, it is not only tedious to learn both Python as well as this but is quite challenging and time consuming as well. Please mention Python as a prerequisite for this course-- it would definitely get 5 stars then.

創建者 James O

Sep 16, 2019

The course tries hard to balance programming and biology but the programming can become quite a challenge for people with little to no experience in programming.

創建者 Joseph B

Oct 23, 2019

This is billed as a course for beginners, but it leans heavily on one's prior skill in programming. If you're not familiar with Python syntax or you are a coding neophyte, a lot of the concepts will likely go over your head. The biology is fairly cursory and easy to pick up along the way, or simply ignore if you don't have a strong background in molecular biology/genetics.

創建者 Rithvik S

May 10, 2018

Can be more interactive with videos for beginners for more comprehensive understanding. Otherwise, wonderful, highly informative content!