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Guideline for writing the Study Plan:

In view of the relatively poor quality of the study plan we
received in the past years, the department decides to offer
more concrete guidelines to help applicants
writing their study plans.
The intention is to tell applicants what the
department is looking for in the study plans, and
how the applicants can best distinguish themselves
during the admission process.
Of course these guidelines are only recommendatory.
Applicants are welcome to use their
imagination whenever/wherever possible. 
The study plan serves three purposes. First, it shows how well applicants
can express their ideas in plain English. This requires well-organized
thinking skills as well as clear writing.
Second, the study plan is supposed to show how much thought the applicants
have given to the particular fields in which they want to study.
For example, if an applicant wants to study Neural Networks,
exactly how much they know about Neural Network and why do they think
they are capable of doing research in this field should be clearly
explained in the study plan. 
The third purpose of a study plan is to provide students with lesser grade
an opportunity to present their intellectual accomplishments other than
academic records. For research projects that require extensive hands-on
capabilities, practical problem-solving skills will play as much important
roles as course grades. 
To help the applicants write down the types of information that
will interest the admission committee most, we prepare a list of
specific questions that the applicants may consider to answer in their
study plans. Again, answering these questions is not mandatory.
They are suggested here to reduce the possibility of wasted efforts on
the part of applicants. 
[1] What is the most significant achievement you've ever accomplished so far?
This could be a class project, a piece of artifact you built, or a research,
and it doesn't have to be related to Computer Science. 
[2] Is there any specific field you want to work on? Please be as
specific as you can.
Try to explain how your academic background prepares you to do research in
this (these) field(s). 
[3] If you have any previous research experiences, please explain them in
terms of your roles in the projects, your own contributions, and most
importantly the process of deriving the solutions/algorithms you
developed, if any. 
[4] In case your course grade is not particularly distinguished,
why do you think you still have what it takes to do graduate study
in our department? 
Last suggestion: the applicants are advised to take writing
the study plan as serious as they possibly can. Think of it as doing the
homework for getting into graduate schools. The more efforts you
spent on it, the better chances you have to be admitted into 
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