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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.