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Zeynep Orhan

Title: Clinical Assistant Professor

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, T.C. Istanbul Universitesi, 2006
    Major: Computer engineering
  • MS, Bilkent University, 1998
    Major: Computer Engineering
  • BS, Bilkent University, 1996
    Major: Computer Engineering

Current Scheduled Teaching

ADTA 5340.003Discovery and Learning with Big DataSpring 2025 Syllabus
ADTA 5240.004Harvesting, Storing and Retrieving DataSpring 2025 Syllabus
ADTA 5240.402Harvesting, Storing and Retrieving DataSpring 8W1 2025 Syllabus
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching

ADTA 5340.001Discovery and Learning with Big DataFall 2024 Syllabus SPOT
ADTA 5340.011Discovery and Learning with Big DataFall 2024 Syllabus SPOT
ADTA 5340.410Discovery and Learning with Big DataFall 8W2 2024 Syllabus SPOT
ADTA 5240.001Harvesting, Storing and Retrieving DataFall 2024 Syllabus SPOT
ADTA 5240.011Harvesting, Storing and Retrieving DataFall 2024 Syllabus SPOT
ADTA 4340.001Methods for Discovery and Learning from DataFall 2024 Syllabus SPOT
ADTA 4340.410Methods for Discovery and Learning from DataFall 8W2 2024 Syllabus SPOT
ADTA 4240.001Principles of Data Structures, Harvesting and WranglingFall 2024 Syllabus SPOT
ADTA 5240.401Harvesting, Storing and Retrieving DataSummer 8W1 2024 Syllabus SPOT
ADTA 5340.001Discovery and Learning with Big DataSpring 2024 Syllabus SPOT
ADTA 5340.412Discovery and Learning with Big DataSpring 8W2 2024 SPOT
ADTA 5240.001Harvesting, Storing and Retrieving DataSpring 2024 Syllabus SPOT
IPAC 4340.001Methods for Discovery and Learning from DataSpring 2024 Syllabus SPOT
IPAC 4240.001Principles of Data Structures, Harvesting and WranglingSpring 2024 Syllabus SPOT
ADTA 5340.001Discovery and Learning with Big DataFall 2023 SPOT
ADTA 5340.011Discovery and Learning with Big DataFall 2023 SPOT
ADTA 5240.002Harvesting, Storing and Retrieving DataFall 2023 SPOT
ADTA 5240.501Harvesting, Storing and Retrieving DataFall 2023 SPOT
IPAC 4340.001Methods for Discovery and Learning from DataFall 2023 Syllabus SPOT
ADTA 5230.101Data Analytics IISummer 8W1 2023 Syllabus SPOT
ADTA 5130.103Data Analytics ISpring 8W1 2023 Syllabus SPOT
ADTA 5130.112Data Analytics ISpring 8W2 2023 Syllabus SPOT
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Intellectual Contributions

    Book Chapter

  • Gökgöl, M.K., Orhan, Z. (2020). A Language Independent Decision Support System for Diagnosis and Treatment by Using Natural Language Processing Techniques. IFMBE Proceedings. 721-728. Springer International Publishing. https://doi.org/10.1007/978-3-030-17971-7_107
  • Orhan, Z., Mercan, M., Gökgöl, M.K. (2020). A New Digital Mental Health System Infrastructure for Diagnosis of Psychiatric Disorders and Patient Follow-Up by Text Analysis in Turkish. IFMBE Proceedings. 395-402. Springer International Publishing. https://doi.org/10.1007/978-3-030-17971-7_59
  • Ceyhan, M., Orhan, Z., Domnori, E. (2017). e-Medical Test Recommendation System Based on the Analysis of Patients’ Symptoms and Anamneses. IFMBE Proceedings. 654-659. Springer Singapore. https://doi.org/10.1007/978-981-10-4166-2_98
  • Ceyhan, M., Orhan, Z., Domnori, E. (2017). Health service quality measurement from patient reviews in Turkish by opinion mining. IFMBE Proceedings. 649-653. Springer Singapore. https://doi.org/10.1007/978-981-10-4166-2_97
  • Orhan, Z., Altan, Z. (2006). Impact of Feature Selection for Corpus-Based WSD in Turkish. Lecture Notes in Computer Science. 868-878. Springer Berlin Heidelberg. https://doi.org/10.1007/11925231_83

    • Conference Proceeding

  • Orhan, Z. (2024). AI's Double-Edged Sword: Confronting Bias, Misinformation, and Ethical Challenge. 109-134. Phoenix, Arizona, 2024 DSI Annual Conference Proceedings. https://decisionsciences.org/publication/proceeding/2024-annual-conference-of-the-decision-sciences-institute-proceedings/
  • Orhan, Z. (2024). Teknoloji ve Etik: Yapay Zekâ Çağında Sorunlar ve Denge Stratejileri. Yapay Zeka Etiği Divanı. https://shorturl.at/Tylpz
  • Ceyhan, M., Orhan, Z., Domnori, E. (2018). Sentiment polarity classification of Turkish product reviews for measuring and summarizing user satisfaction. Proceedings of the Workshop on Opinion Mining, Summarization and Diversification. 1-10. ACM. https://doi.org/10.1145/3301020.3303752
  • Orhan, Z., Gormez, Z. (2009). Evaluation of the Concatenative Turkish Text-to-Speech System. 2009 2nd International Congress on Image and Signal Processing. 1-5. IEEE. https://doi.org/10.1109/cisp.2009.5303812
  • Orhan, Z., Çelik, E., Demirgüç, N. (2007). SemEval-2007 task 12. Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07. 59-63. Association for Computational Linguistics. https://doi.org/10.3115/1621474.1621485

    • Final Declaration of Council Meeting

  • , C., Orhan, Z. (2024). Final Declaration of the Divan on Ethics of Artificial Intelligence. Yapay Zeka Etiği Divanı. https://shorturl.at/V7YAe

    • Journal Article

  • Ceyhan, M., Orhan, Z., Karras, D. (2021). An Approach for Movie Review Classification in Turkish. European Journal of Engineering and Formal Sciences. 4 (2) 56-65.
  • Ceyhan, M., Orhan, Z., Karras, D. (2020). Sosyal Medyadaki Film Yorumlarının Fikir Madenciliği ile Otomatik Sınıflaması. Uluslararası Sosyal Bilimler Dergisi. 4 (20) 1-31.
  • Küçük, A.E., Orhan, Z., Kabil, M. (2014). Psychodroid: A Mobile Psychological Disorder Detection Application by Dynamic Question Generation and Content Analysis. Other. 159 691-696. Elsevier BV. https://doi.org/10.1016/j.sbspro.2014.12.470
  • Orhan, Z., Pehlivan, İ., Uslan, V., Önder, P. (2011). Automated Extraction of Semantic Word Relations in Turkish Lexicon. Other. 16 (1) 13-21. MDPI AG. https://doi.org/10.3390/mca16010013

    • Magazine/Trade Publication

  • Orhan, Z. (2024). Artificial Intelligence: Friend or Foe? It is Up to Us. May-June 2024 (Issue 159) 7-13. Clifton, New Jersey, Paramus Publishing Inc.. https://fountainmagazine.com/all-issues/2024/issue-159-may-jun-2024/artificial-intelligence-friend-or-foe-it-is-up-to-us
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Overall
Summative Rating		 Challenge and
Engagement Index		 Response Rate

out of 5
out of 7		 %
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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