{"id":7902,"date":"2025-11-23T20:32:15","date_gmt":"2025-11-23T20:32:15","guid":{"rendered":"https:\/\/engineering.tiu.edu.iq\/petromining\/?p=7902"},"modified":"2026-01-18T04:17:39","modified_gmt":"2026-01-18T04:17:39","slug":"departmental-seminar-how-to-handle-outliers-in-your-research","status":"publish","type":"post","link":"https:\/\/engineering.tiu.edu.iq\/petromining\/departmental-seminar-how-to-handle-outliers-in-your-research\/","title":{"rendered":"Petroleum & Mining Department Hosts Research Methodology Seminar"},"content":{"rendered":"

Inaugural Departmental Seminar for Academic Year<\/h3>\n

On\u00a0November 23rd, 2025<\/strong>, the\u00a0Petroleum and Mining Engineering Department<\/strong>\u00a0conducted its\u00a0first departmental seminar<\/strong>\u00a0of the\u00a02025\u20132026 academic year<\/strong>. This well-attended session brought together the department’s academic staff along with several colleagues from other departments, creating an interdisciplinary environment for methodological discussion and knowledge exchange.<\/p>\n

Seminar Presentation Details<\/h3>\n

Presenter:<\/strong>\u00a0Prof. Dr. Tariq H. Karim
\nSpecialization Area:<\/strong>\u00a0Data Analysis
\nSeminar Title:<\/strong>\u00a0How to Handle Outliers in Your Research<\/p>\n

Comprehensive Seminar Overview<\/h3>\n

The seminar focused specifically on understanding and managing\u00a0outliers<\/strong>\u2014data points that significantly differ from the rest of a dataset. Prof. Dr. Tariq provided a comprehensive framework for addressing these critical statistical elements in research contexts.<\/p>\n

Key Seminar Content and Insights<\/h3>\n

Outlier Definition and Origins:<\/strong><\/p>\n

    \n
  • \n

    Identification<\/strong>\u00a0of data points with substantial deviation from dataset norms<\/p>\n<\/li>\n

  • \n

    Common sources<\/strong>\u00a0including measurement errors and instrumental inaccuracies<\/p>\n<\/li>\n

  • \n

    Unusual conditions<\/strong>\u00a0creating atypical but valid data observations<\/p>\n<\/li>\n

  • \n

    Genuine extreme events<\/strong>\u00a0representing real-world phenomena of interest<\/p>\n<\/li>\n<\/ul>\n

    Importance of Proper Outlier Management:<\/strong><\/p>\n

      \n
    • \n

      Statistical distortion prevention<\/strong>\u00a0of averages and central tendency measures<\/p>\n<\/li>\n

    • \n

      Variability control<\/strong>\u00a0ensuring accurate representation of data spread<\/p>\n<\/li>\n

    • \n

      Misleading conclusion avoidance<\/strong>\u00a0through proper data interpretation<\/p>\n<\/li>\n

    • \n

      Important phenomenon recognition<\/strong>\u00a0when outliers represent significant events<\/p>\n<\/li>\n

    • \n

      Research validity enhancement<\/strong>\u00a0across petroleum, mining, and engineering studies<\/p>\n<\/li>\n<\/ul>\n

      Interactive Conclusion and Practical Application<\/h3>\n

      The seminar concluded with an\u00a0open discussion session<\/strong>, where staff members engaged in:<\/p>\n

      Discussion Components:<\/strong><\/p>\n

        \n
      • \n

        Practical example exploration<\/strong>\u00a0from various research domains<\/p>\n<\/li>\n

      • \n

        Experience sharing<\/strong>\u00a0regarding outlier challenges in ongoing projects<\/p>\n<\/li>\n

      • \n

        Methodology exchange<\/strong>\u00a0across different engineering disciplines<\/p>\n<\/li>\n

      • \n

        Problem-solving collaboration<\/strong>\u00a0for common data analysis issues<\/p>\n<\/li>\n

      • \n

        Best practice development<\/strong>\u00a0for future research undertakings<\/p>\n<\/li>\n<\/ul>\n

        Interdepartmental Engagement and Impact<\/h3>\n

        This seminar successfully fostered\u00a0cross-departmental collaboration<\/strong>\u00a0and demonstrated the department’s commitment to:<\/p>\n

        Departmental Objectives:<\/strong><\/p>\n

          \n
        • \n

          Methodological rigor enhancement<\/strong>\u00a0in engineering research<\/p>\n<\/li>\n

        • \n

          Interdisciplinary dialogue promotion<\/strong>\u00a0on common analytical challenges<\/p>\n<\/li>\n

        • \n

          Research skill development<\/strong>\u00a0among academic staff<\/p>\n<\/li>\n

        • \n

          Academic year initiation<\/strong>\u00a0with a focus on research excellence<\/p>\n<\/li>\n

        • \n

          Community building<\/strong>\u00a0around shared methodological concerns<\/p>\n<\/li>\n<\/ul>\n

          The engaging and insightful nature of this seminar established a strong foundation for ongoing methodological discussions throughout the academic year, benefiting researchers across multiple engineering disciplines within the university.<\/p>\n

          Keywords:<\/strong>\u00a0Research Methodology, Outlier Analysis, Data Management, Statistical Methods, Petroleum Engineering, Mining Research, Data Integrity, Academic Seminar<\/p>\n<\/div>

          • \"Petroleum<\/span><\/li>
          • \"Petroleum<\/span><\/li>
          • \"Petroleum<\/span><\/li>
          • \"Petroleum<\/span><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":116,"featured_media":7907,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":0,"footnotes":""},"categories":[2,60],"tags":[833,711,827,829,779,870,826,835,832,824,872,869,830,122,265,16,823,831,777,828,871,63,61,822,825,834],"class_list":["post-7902","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-scientific-activities","tag-academic-activities-tiu","tag-academic-seminar","tag-academic-seminar-tiu","tag-data-analysis-seminar","tag-data-integrity","tag-data-management","tag-departmental-seminar-tiu","tag-engineering-department-iraq","tag-engineering-research-tiu","tag-mining-engineering-tiu","tag-mining-research","tag-outlier-analysis","tag-outliers-in-research","tag-pame","tag-petroleum-and-mining-engineering-department","tag-petroleum-engineering","tag-petroleum-engineering-tiu","tag-prof-tariq-h-karim","tag-research-methodology","tag-research-seminar-tiu","tag-statistical-methods","tag-tishk-international-university","tag-tiu","tag-tiu-engineering","tag-tiu-petroleum-department","tag-university-seminars-erbil"],"yoast_head":"\nPetroleum 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