Course talk:CPSC522/Causality

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Contents

Thread titleRepliesLast modified
Suggestions423:22, 14 February 2016
Suggestions regarding Causality223:10, 14 February 2016
Critiques and Suggestions123:01, 14 February 2016
Critique007:47, 5 February 2016

Suggestions

Hi, Prithu Banerjee,

It is a very good draft that I learnt lots of new things. Here are my scores, with general and suggestions below that. Scale of 1 to 5, where 1 = strongly disagree and 5 = strongly agree:

  • (5) The topic is relevant for the course.
  • (4) The writing is clear and the English is good.
  • (5) The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds).
  • (3.5) The formalism (definitions, mathematics) was well chosen to make the page easier to understand.
  • (4) The abstract is a concise and clear summary.
  • (3.5) There were appropriate (original) examples that helped make the topic clear.
  • (n) There was appropriate use of (pseudo-) code.
  • (4) It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).
  • (4.5) It is correct.
  • (4) It was neither too short nor too long for the topic.
  • (4) It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).
  • (2) It links to appropriate other pages in the wiki.
  • (3.5) The references and links to external pages are well chosen.
  • (4) I would recommend this page to someone who wanted to find out about the topic.
  • (3.5) This page should be highlighted as an exemplary page for others to emulate.

Suggestions:

  • 1. Add some motivating and explaination examples in paragraphs that have lots of logical contents, some paragraphs are very difficult to understand. For example: the first paragraph under Content, the paragraph under Causal Modeling Basics and so on.
  • 2. It is better to add math tag in variables.
  • 3. Learning Causal Models section should be more detailed.
  • 4. It is better to have more links.

Sincerely,

YuYan

04:01, 5 February 2016

Hi Yu Yan, Thanks for your feedback. I will try best to address your concerns. However one quick rebuttal, I am not sure what these grades stand for. As I must change the according to suggestions I receive and then the final version should be graded. So I am guessing this grading is based only the present version, being subject to be changed later :-).. please let me know in case otherwise .

06:15, 5 February 2016

No, the grade is not for final version. I just want to let you know the things that could be improved according to our final grade standard in my opinion. Let me know if there is any question.

08:16, 5 February 2016

Thanks Yu Yan, I have updated the page based on your feedback. I have added few motivational example in Causal Model Basics section which should help better understanding. Elaborated the learning section as well. I added math tags against all equations for better readability and added links corresponding to broader concepts such as System Model etc, to help interested users. I would request you to update your marks regarding these changes.

23:05, 14 February 2016

Sure. It seems quite good. I will update marks.

23:22, 14 February 2016
 
 
 
 

Suggestions regarding Causality

Hi Prithu, Nice to see your wiki on causality and it gives me a much deeper insight into this topic. Furthermore, I have some questions regarding your wiki which requires discussion with you. 1. I see the "measuring events and variables" part very long and can you help to generalize the idea in a relative small paragraph? 2. Can you explain the relationship of Axioms, The Causal Markov Condition,The Causal Minimality Condition and The Faithfulness Condition because it seems in your paragraph they are written in parallel.

Thanks Arthur

04:11, 3 February 2016

Thanks Arthur for your valuable feedback. I agree that section is long, but as it was the most fundamental principle to design a causal model, I wanted it to keep it elaborated. Hence your suggestion of adding a concise goal paragraph will help.

On your second point, if you read the last paragraph of the faithfulness axiom, you can see how I tried to link them. However since it's not explicitly clear, I will edit that section further to make it more precise. Will let you know once I am done with that.

thanks again Prithu

19:37, 3 February 2016
 

Hi Arthur I updated the page based on your suggestions. Please have a look and grade accordingly.

thanks Prithu

23:10, 14 February 2016
 

Critiques and Suggestions

Hi Prithu,

Such a thorough and nice review! Here are my scores and more details below that. Please let me know if you need any further clarification.
Scale of 1 to 5, where 1 = strongly disagree and 5 = strongly agree:


[5] The topic is relevant for the course.
[4] The writing is clear and the English is good.
[5] The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds).
[4] The formalism (definitions, mathematics) was well chosen to make the page easier to understand.
[4] The abstract is a concise and clear summary.
[3] There were appropriate (original) examples that helped make the topic clear.
[3] There was appropriate use of (pseudo-) code.
[5] It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).
[4.5] It is correct.
[3] It was neither too short nor too long for the topic.
[3] It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).
[2] It links to appropriate other pages in the wiki.
[5] The references and links to external pages are well chosen.
[3.5] I would recommend this page to someone who wanted to find out about the topic.
[3.5] This page should be highlighted as an exemplary page for others to emulate.

Comments:[wikitext]

Generally, you did a thorough review and I can’t find any significant section missing (probably just a motivational example), however, I believe this page can use the following suggestions: Motivational Example

A motivational example can be presented to summarize the learning materials, especially for this page that has required grounds for an example to be built upon it.

Language

  • I would suggest you to read one more time the page and do a proof reading. I would recommend you to install Ginger plugin for Chrome (free).
  • I found the most of sections to be verbally extensive, and I believe they can be presented more concisely, as the size of the page seems to be a little long. Perhaps you can skip some sections’ details and refer the readers to the dedicated pages for those sections or other references.

Format

I believe you can use much more MATH tag to make the mathematical expressions more eye-appealing.

Links

With respect to the vast areas that are covered in this page, linking terms and concepts to appropriate wiki pages seems to be crucial.


All above suggestions aside, you did a good job!


Sincerely,
Yaashaar Hadadian

05:54, 7 February 2016

Thanks Yaashaar I have updated the page considering your feedbacks. Please have a look and update the marks as you feel. Specifically, I added the Motivational Examples, one at the very beginning and also for many important sections such as direct/indirect causes, establishing cause-effect relationship etc. Links to broader concepts such as System Models etc are also added for interested users. I have also corrected the typos, and added math tags for better readability. Hope this helps

23:01, 14 February 2016
 

Hi Prithu,

Nice work! Your page is generally well written and has good coverage. I have a few suggestions:

  1. You should use math tags for variables to improve the presentation of your page.
  2. Some of the images in the page are too small.
  3. There are a few typos and grammatical errors which should be corrected.

Scores for first draft:

  • [5] The topic is relevant for the course.
  • [4] The writing is clear and the English is good.
  • [5] The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds).
  • [5] The formalism (definitions, mathematics) was well chosen to make the page easier to understand.
  • [5] The abstract is a concise and clear summary.
  • [4] There were appropriate (original) examples that helped make the topic clear.
  • [4] There was appropriate use of (pseudo-) code.
  • [5] It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).
  • [5] It is correct.
  • [4] It was neither too short nor too long for the topic.
  • [5] It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).
  • [5] It links to appropriate other pages in the wiki.
  • [4] The references and links to external pages are well chosen.
  • [4] I would recommend this page to someone who wanted to find out about the topic.
  • [4] This page should be highlighted as an exemplary page for others to emulate.
07:47, 5 February 2016