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NAME:
STUID:
Email-id:
Instructor: Dr. Barbara Hecker.
DATA MINING
SEN 935
Course student Learning Outcome Essay
Please respond to EACH question as it relates to the subsequent
Course Student Learning Outcome
(CSLO). Each CSLO answer should be minimum of one page:
CSLO One:
Be able to know the basic concepts and technique of Data Mining
and how to apply them to real world problems.
1a. Describe THOUGHTFULLY how to outline the basic concepts and
technique of Data Mining and how to apply them to real world
problems. (At least one paragraph)
1b. Describe THOUGHTFULLY how you learned to outline the basic
the concepts and technique of Data Mining and how to apply them to
real world problems .Give two (2) examples from your personal
experience of each learning process. (At least one paragraph)
1c. Discuss in at least two WELL-DEVELOPED paragraphs your
ORIGINAL personal insights about concepts and technique of Data
Mining and how to apply them to real world problems.
1d. Do you think this learning outcome is valuable or should it be
changed? Justify your answer.
CSLO Two:
Be able to know the basic concepts of data mining for internet
application development
2a. Describe THOUGHTFULLY why it is important to Know the basic
concepts of data mining for internet application development. (At
least one paragraph)
2b. Describe THOUGHTFULLY how you learned and be able to
understand the basic concepts of data mining for internet application
development.
Give two (2) examples from your personal experience of each
learning process. (At least one paragraph)
.
2c. Discuss in at least two WELL-DEVELOPED paragraphs your
ORIGINAL personal insights about the basic concepts of data mining
for internet application development.
2d. Do you think this learning outcome is valuable or should it be
changed? Justify your answer.
CSLO Three:
Be able to know how to acquire, parse, filter, mine, represent, refine
and interact with data.
3a. Describe THROUGHTFULLY why it is important to understand
about how to acquire, parse, filter, mine, represent, refine and interact
with data. (At least one paragraph)
3b. Describe THOUGHTFULLY how you learned to acquire, parse,
filter, mine, represent, refine and interact with data. Give two (2)
examples from your personal experience of each learning process.
(At least on paragraph)
3c. Discuss in at least two WELL-DEVELOPED paragraphs your
ORIGINAL personal insights about acquire, parse, filter, mine,
represent, refine and interact with data.
3d. Do you think this learning outcome was valuable or should it be
changed? Justify your answer.
CSLO Four:
Be familiar with concepts of Data Visualization.
4a. Describe THOUGHTFULLY Why It Is Important to Know the
concepts of Data Visualization. (At Least One Paragraph)
4b. Describe THOUGHTFULLY How You Learned concepts of Data
Visualization. Give Two (2) Examples From Your Personal Experience
Of Each Learning Process. (At Least One Paragraph)
.
4c. Discuss In At Least Two WELL-DEVELOPED Paragraphs Your
ORIGINAL Personal Insights about concepts of Data Visualization.
4d. Do You Think This Learning Outcome Was Valuable Or Should It
Be Changed? Justify Your Answer.
CSLO FIVE:
Be able to know how to approach data mining problem solving using
a data mining tools and applications.
5a. Describe THOUGHTFULLY Why It Is Important to Know how to
approach data mining problem solving using a data mining tools and
applications . (At Least One Paragraph)
5b. Describe THOUGHTFULLY How You Learned data mining
problem solving using a data mining tools and applications. Give
Two (2) Examples From Your Personal Experience Of Each Learning
Process. (At Least One Paragraph)
5c. Discuss In At Least Two WELL-DEVELOPED Paragraphs Your
ORIGINAL Personal Insights about data mining problem solving using
a data mining tools and applications.
5d. Do You Think This Learning Outcome Was Valuable Or Should It
Be Changed? Justify Your Answer.