Course talk:CPSC522/Dynamic Bayesian Networks

   The topic is relevant for the course. 5
   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. 3 (Although the figures help here, it might also help to include some formal mathematics or definitions)
   The abstract is a concise and clear summary. 5
   There were appropriate (original) examples that helped make the topic clear. 3 (The figures help here as well, but it might also help to add some other examples to clarify a bit how DBNs work, or what you can do with them, etc.)
   There was appropriate use of (pseudo-) code. 3 (There wasn't pseudocode used, though given what you covered it wasn't really needed. Could be helpful if the page is expanded though.)
   It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). 5
   It is correct. 5
   It was neither too short nor too long for the topic. 3 (It might help to expand it a little more, though if you did include some more examples that would help expand it to a good size.)
   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. 5
   The references and links to external pages are well chosen. 5
   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. 4

If I was grading it out of 20, I would give it: 16 (I think it just needs to be expanded a little, but as mentioned I think just adding a few examples or even writing a section that directly refers to your figures and discusses them a bit would go a long way.)

If I were to grade it: On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

The topic is relevant for the course. 5

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. 2 - There should probably be some mathematical definition/example

The abstract is a concise and clear summary. 5

There were appropriate (original) examples that helped make the topic clear. 0 - Examples needed (I understand "examples" here to refer to applications of the theory, not examples of what a snapshot of a DBN would look like)

There was appropriate use of (pseudo-) code. N/A. Could possibly include pseudocode

It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). Page needs expansion

It is correct. 5: Seems so, but is too brief to tell

It was neither too short nor too long for the topic. 3 - too short

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 - Should be more reference links, when the page is expanded to include more text

The references and links to external pages are well chosen. 5 - It's probably fine but might be nice to include more sources in the bibliography

I would recommend this page to someone who wanted to find out about the topic. 3

This page should be highlighted as an exemplary page for others to emulate. 3

If I was grading it out of 20, I would give it: 14

Other Suggestions:

• The images should be appropriately sized: you can edit size by adding a |500px| or some other value before |frame|
• I'd remove the section instructions ("Put your annotated bibliography here")
• Include full name of acronyms when used the first time (with external link if appropriate)
• The model seems to go well with video explanations and if so perhaps it might be good to include an external link (in further reading perhaps?)

Hi Bronson,

Dynamic Bayesian Networks (DBN) is an interesting topic and very well apt for our course Wiki page. I felt motivated after reading the overview as it clearly explained the need of DBN. On the other hand, i think below mentioned points could be used to improve your page:

• The wiki page ends abruptly, i.e. it just provides the overview without giving any detail. So, though the content written is very clear and precise, but it seems very short if considered as a Wiki page.
• Other than that i was looking for some examples to get more clarity about the topic. Though, you have shows three example images but there is no explanation to those images.

I a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

• The topic is relevant for the course. - 5
• 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). - 3.5
• It is correct. - 5
• 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). - 5
• It links to appropriate other pages in the wiki. - 5
• The references and links to external pages are well chosen. - 5
• I would recommend this page to someone who wanted to find out about the topic. - 4.5
• This page should be highlighted as an exemplary page for others to emulate. - 4.5

If I was grading it out of 20, I would give it: 16