{"id":7,"date":"2019-05-18T14:47:28","date_gmt":"2019-05-18T14:47:28","guid":{"rendered":"http:\/\/173.249.1.102\/~ismaelali\/?page_id=7"},"modified":"2023-11-02T11:41:55","modified_gmt":"2023-11-02T08:41:55","slug":"introduction-to-data-mining","status":"publish","type":"page","link":"https:\/\/ismaelali.net\/?page_id=7","title":{"rendered":"Data Mining"},"content":{"rendered":"\n

Course Description:<\/strong>
This course introduces undergraduate students to the basic and fundamental concepts of Data Mining (DM) with real-world applications, to practice theoretical concepts with a problem-solving approach. The students will have group-based projects. They will also learn Python programming language and use it for various DM tasks\/steps.<\/p>\n\n\n\n

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Course Info:<\/strong><\/p>\n\n\n\n

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  • Lectures<\/strong> in Room#    ; Mondays @9am-11am <\/li>\n\n\n\n
  • Lab<\/strong>#   ;  in Mondays GA<\/strong> @ 11am – 1pm ; GB<\/strong> @ 1pm – 3pm <\/li>\n\n\n\n
  • Office Hours<\/strong>: Thursday 10 AM – 12PM<\/li>\n\n\n\n
  • Teaching Assistants\/Contacts<\/strong>: Mashhood and Qaydar<\/li>\n\n\n\n
  • Appointment (use email):<\/strong> ismael.ali@uoz.edu.krd ; emailing Form in Contact page<\/li>\n\n\n\n
  • Way of Contact: <\/strong>\n
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    • Announcement will be on this page.<\/li>\n\n\n\n
    • Whenever needed, I will broadcast emails to you. <\/li>\n\n\n\n
    • Make sure your email are working properly and given to me.<\/li>\n\n\n\n
    • \u200bCheck your emails and this page frequently! for lecture notes + assignment and lab materials + due dates … etc.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

      Important Dates <\/strong>(tentative):<\/strong> TBA<\/strong><\/p>\n\n\n\n

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      • Midterm : Dec 10th<\/li>\n\n\n\n
      • Course Projects (steps):\n
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        • Project proposals due<\/li>\n\n\n\n
        • Project review meeting<\/li>\n\n\n\n
        • Draft paper\/report due<\/li>\n\n\n\n
        • Project progress 1st presentations<\/li>\n\n\n\n
        • Project progress 2nd presentations<\/li>\n\n\n\n
        • Project progress 3rd presentations<\/li>\n\n\n\n
        • Project progress 4th presentations<\/li>\n\n\n\n
        • (before the final exam): Final Submission Due (paper\/report + Code)<\/li>\n\n\n\n
        • Project final presentations<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • Final Course Exam: May 20th<\/li>\n\n\n\n
        • \u200bNote: course deadlines are solid\/exceptions need solid verification.<\/em>\u200b<\/li>\n<\/ul>\n\n\n\n

          \u200bAnnouncements:<\/strong><\/p>\n\n\n\n

          #<\/td>Announcement<\/td>Date<\/td><\/tr>
          1<\/td>Provide your email in lect#1
          <\/td>          		Oct. 8th<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

          \u200bCourse Schedule:<\/strong><\/p>\n\n\n\n

          L<\/td>Topic(s)<\/td>Lab Work<\/td>Notes<\/td><\/tr>
          1<\/td>Course Introduction
          \u200bIntroduction to
          Data Mining <\/td>          		Lab Policy
          Start Python: Environment Setup and
          First Program<\/td>          		Get to Know Each Other and Understand the Course
          HW for next week: Practice  Python Basics<\/td><\/tr>
          2<\/td>Statistics and Algebra: Review<\/td>Python: Strings, Lists,
          Functions<\/td>          		Grouping for Course Project
          HW for next week: Practice  Python Basics<\/td><\/tr>
          3<\/td>Data: Knowing, Finding and
          Exploring
          Your Data<\/td>          		Python: Dictionaries, Classes,
          Files<\/td>          		Explaining Project Requirements and Assigning Projects to Student Groups
          HW for next week: Use Python to perform simple statistical analysis on your dataset.<\/td><\/tr>
          4
          <\/td>          		Data Pre
          -Processing<\/td>          		In-Lab Exam on Python<\/td>See Your Data: Performing Simple
          Exploratory Statistical Analysis and
          Visualization on Project Dataset<\/td><\/tr>
          5
          <\/td>          		Data Mining 1-A: Pattern
          Mining<\/td>          		Python for Pattern Mining<\/td>In-Lab Exploring and Mining Your Dataset.<\/td><\/tr>
          6
          <\/td>          		Data Mining 1-B: Pattern
          Mining<\/td>          		Python for Pattern Mining<\/td>Mining Your Data<\/td><\/tr>
          7
          <\/td>          		Data Mining 2: Classification<\/td>Python for
          Classification<\/td>          		Mining Your Data<\/td><\/tr>
          8<\/td>Data
          Evaluation<\/td>          		Python for DE<\/td>Evaluate Your Models<\/td><\/tr>
          9<\/td>Data
          Visualization <\/td>          		Python for DV<\/td>Visual Your Results<\/td><\/tr>
          10<\/td>Data at Scale<\/td>Python for
          Big Data<\/td>          		Learn Big Data Concepts<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

          Prerequisites:<\/strong>Review whatever <\/em>you see you need through out the course…<\/em><\/p>\n\n\n\n