{"id":7770,"date":"2025-09-29T06:56:15","date_gmt":"2025-09-29T06:56:15","guid":{"rendered":"https:\/\/engineering.tiu.edu.iq\/petromining\/?p=7770"},"modified":"2025-10-04T07:14:25","modified_gmt":"2025-10-04T07:14:25","slug":"national-workshop-on-handling-missing-data-in-research","status":"publish","type":"post","link":"https:\/\/engineering.tiu.edu.iq\/petromining\/national-workshop-on-handling-missing-data-in-research\/","title":{"rendered":"National Workshop on Handling Missing Data in Research"},"content":{"rendered":"

Professional Development Opportunity<\/h2>\n

The Petroleum and Mining Engineering Department at Tishk International University announces a national workshop titled “How to Deal with Missing Data in Your Researches,” presented by\u00a0Prof. Dr. Tariq H. Karim<\/strong>. This workshop addresses one of the most common challenges in research and data analysis, focusing on maintaining data accuracy, reliability, and validity.<\/p>\n

Workshop Details<\/h2>\n

Date:<\/strong>\u00a0October 8, 2025
\nTime:<\/strong>\u00a02:00 PM
\nLocation:<\/strong>\u00a0Education Building, Hall #302<\/p>\n

Workshop Content<\/h2>\n

Comprehensive Coverage<\/strong><\/p>\n

    \n
  • \n

    Definitions and missing data symbols<\/p>\n<\/li>\n

  • \n

    Mechanisms of missing data occurrence<\/p>\n<\/li>\n

  • \n

    Classification tree for missing data techniques<\/p>\n<\/li>\n

  • \n

    Advantages and disadvantages of different methods<\/p>\n<\/li>\n

  • \n

    Favorable conditions for technique application<\/p>\n<\/li>\n

  • \n

    Numerical examples using real case studies<\/p>\n<\/li>\n<\/ul>\n

    Learning Objectives<\/h2>\n

    The workshop aims to help researchers:<\/p>\n

      \n
    • \n

      Ensure data quality and completeness<\/p>\n<\/li>\n

    • \n

      Preserve statistical power in analyses<\/p>\n<\/li>\n

    • \n

      Avoid bias in research outcomes<\/p>\n<\/li>\n

    • \n

      Improve model accuracy and generalization<\/p>\n<\/li>\n

    • \n

      Enhance overall research validity<\/p>\n<\/li>\n<\/ul>\n

      Workshop Structure<\/h2>\n

      Event Format<\/strong><\/p>\n

        \n
      • \n

        Introduction and overview<\/p>\n<\/li>\n

      • \n

        Theoretical concepts session<\/p>\n<\/li>\n

      • \n

        Practical numerical examples session<\/p>\n<\/li>\n

      • \n

        Question and answer discussion<\/p>\n<\/li>\n

      • \n

        Open forum for participant inquiries<\/p>\n<\/li>\n<\/ul>\n

        Institutional Value<\/h2>\n

        This workshop reflects the department’s commitment to:<\/p>\n

          \n
        • \n

          Promoting academic excellence university-wide<\/p>\n<\/li>\n

        • \n

          Improving research practices and methodologies<\/p>\n<\/li>\n

        • \n

          Supporting professional development across departments<\/p>\n<\/li>\n

        • \n

          Enhancing research quality throughout TIU<\/p>\n<\/li>\n

        • \n

          Fostering interdisciplinary research collaboration<\/p>\n<\/li>\n<\/ul>\n

          The event is open to academic staff from all departments, providing valuable insights into handling missing data effectively in research projects.<\/p>\n

          Keywords:<\/strong>\u00a0Missing Data Workshop, Research Methodology, Data Analysis, Statistical Techniques, Research Quality, Academic Development, Data Integrity, Research Excellence, Professional Training<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":116,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":0,"footnotes":""},"categories":[58],"tags":[778,732,762,763,758,779,760,756,776,112,265,781,780,777,757,761,764,759,61],"class_list":["post-7770","post","type-post","status-publish","format-standard","hentry","category-announcement","tag-academic-development","tag-academic-workshop","tag-bias-reduction","tag-data-accuracy","tag-data-analysis","tag-data-integrity","tag-machine-learning","tag-missing-data","tag-missing-data-workshop","tag-national-workshop","tag-petroleum-and-mining-engineering-department","tag-professional-training","tag-research-excellence","tag-research-methodology","tag-research-methods","tag-research-quality","tag-staff-training","tag-statistical-techniques","tag-tiu"],"yoast_head":"\nNational Workshop on Handling Missing Data in Research - 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