Order Description
first assignment which topic difinistion so you can use it an we did draft for this assignment and i get my teacher comment so you can have a look and if you not clear about any think we can email my teacher , and i will upload all course information so yo can have clear idea , please make sure you do right thing because i need good mark to pass this course and also i will upload Data-set for the assignment File and Data dictionary File : Data dictionary. Select to mark as complete.
This si the full data dictionary for data collected in NSW. You will use this to create your own data dictionary:
copying the data definitions of data you will be using,
and adding data definitions – in the same style – for data you construct (e.g. duration of a phase between two events).
this is assignment description for draft an and final work :

Assignment 2

Analysis of data – draft Assignment
The aim of the formative submission is to:
get you to write the components (to avoid dramas in early October)
receive feedback – to make sure you are reasonably on-track.
For this part of your assignment, you will be given a dataset of realistic data measuring the time points of ED processes in an institution in NSW. Your task will be to have a look at the data (with your understanding of ED processes from your previous reading) and:
Extract a data dictionary from the NSW document (will be provided) and add the description of any data you construct.
Select which data you will be using for your analysis (and justify your choice)
Construct data (e.g. duration between �triage� and �seen by clinician�) � justify why you need this data, and describe in detail (in data dictionary) how you are going to construct the data point (formulas, �)
Explore the data (e.g. basic statistics, graphs�)
Comment on data quality
Make your choices on analytic methods (basic stats, process mining [Disco] etc.) and justify your choices (you are asked to use process mining � think about why it is useful � other methods are up to you).
Formatting/reformatting data � what changes need to be done for methods you apply (different input is expected for statistical packages, and different for Disco).
Write an analysis plan � to discuss in the class (formative exercise � due 4th of September)
Do not start the analysis – wait for the comments
This part of your assignment will form your project planning, execution and results section. You will re-use the Introduction/Background section from your previous assignment � you can copy/past it, but I suggest you try to improve it.
Analysis of data AssignmentNot completed: Analysis of data
For this part of your assignment, you will be given a dataset of realistic data measuring the time points of ED processes in an institution in NSW. Your task will be to have a look at the data (with your understanding of ED processes from your previous reading) and:
Extract a data dictionary from the NSW document (will be provided) and add the description of any data you construct.
Select which data you will be using for your analysis (and justify your choice)
Construct data (e.g. duration between �triage� and �seen by clinician�) � justify why you need this data, and describe in detail (in data dictionary) how you are going to construct the data point (formulas, �)
Explore the data (e.g. basic statistics, graphs�)
Comment on data quality
Make your choices on analytic methods (basic stats, process mining [Disco] etc.) and justify your choices (you are asked to use process mining � think about why it is useful � other methods are up to you).
Formatting/reformatting data � what changes need to be done for methods you apply (different input is expected for statistical packages, and different for Disco).
Write an analysis plan
Perform the analysis as you propose it taking into account any comments you may have got.
This part of your assignment will form your project planning, execution and results section. You will re-use the Introduction/Background section from your previous assignment � you can copy/past it, but I suggest you try to improve it.