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Hakan Tarakci

Title: Associate Professor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Purdue University, 2004
    Major: Management
    Specialization: Quantitative Methods and Operations Management
  • Certificate, Purdue University, 2003
    Major: Statistics
    Specialization: Applied Statistics
  • MS, Iowa State University, 2000
    Major: Industrial Engineering
    Specialization: Statistics
  • BS, Bogazici University, 1997
    Major: Industrial Engineering

Current Scheduled Teaching

DSCI 3710.401Business Statistics with SpreadsheetsSpring 2025
DSCI 5210.402Model based Business IntelligenceSpring 2025
DSCI 5210.403Model based Business IntelligenceSpring 2025
DSCI 3710.404Business Statistics with SpreadsheetsFall 2024 Syllabus
DSCI 5180.001Introduction to the Business Decision ProcessFall 2024
DSCI 5210.401Model based Business IntelligenceFall 2024
DSCI 4900.401Special ProblemsFall 2024 Syllabus

Previous Scheduled Teaching

DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2024 Syllabus SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSummer 3W1 2024 Syllabus SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2024 Syllabus SPOT
DSCI 5210.002Model based Business IntelligenceSpring 2024 SPOT
DSCI 5210.003Model based Business IntelligenceSpring 2024 SPOT
DSCI 4900.708Special ProblemsSpring 2024 Syllabus
DSCI 3710.004Business Statistics with SpreadsheetsFall 2023 Syllabus SPOT
DSCI 5210.001Model based Business IntelligenceFall 2023 Syllabus SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2023 Syllabus SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSummer 3W1 2023 Syllabus
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2023 Syllabus SPOT
DSCI 5210.001Model based Business IntelligenceSummer 8W1 2023 SPOT
DSCI 4900.708Special ProblemsSummer 5W2 2023
DSCI 4900.708Special ProblemsSummer 8W1 2023 Syllabus
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2023 Syllabus SPOT
DSCI 5210.002Model based Business IntelligenceSpring 2023 SPOT
DSCI 5210.003Model based Business IntelligenceSpring 2023 SPOT
MSCI 6900.705Special ProblemsSpring 2023 SPOT
DSCI 3710.004Business Statistics with SpreadsheetsFall 2022 Syllabus SPOT
DSCI 5180.002Introduction to the Business Decision ProcessFall 2022 SPOT
DSCI 5210.001Model based Business IntelligenceFall 2022 SPOT
DSCI 5210.002Model based Business IntelligenceFall 2022 SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2022 Syllabus SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSummer 3W1 2022 Syllabus SPOT
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2022 Syllabus SPOT
DSCI 5210.001Model based Business IntelligenceSummer 8W2 2022 SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2022 Syllabus SPOT
DSCI 2710.002Data Analysis with SpreadsheetsSpring 2022 Syllabus SPOT
DSCI 5210.002Model based Business IntelligenceSpring 2022 SPOT
DSCI 5210.003Model based Business IntelligenceSpring 2022 SPOT
MSCI 6900.705Special ProblemsSpring 2022 SPOT
DSCI 3710.004Business Statistics with SpreadsheetsFall 2021 Syllabus SPOT
DSCI 3710.006Business Statistics with SpreadsheetsFall 2021 Syllabus SPOT
DSCI 5180.002Introduction to the Business Decision ProcessFall 2021 SPOT
DSCI 5210.001Model based Business IntelligenceFall 2021 SPOT
DSCI 5210.002Model based Business IntelligenceFall 2021 SPOT
MSCI 6900.751Special ProblemsFall 2021
DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2021 Syllabus SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSummer 3W1 2021 Syllabus SPOT
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2021 Syllabus SPOT
DSCI 5180.001Introduction to the Business Decision ProcessSummer 3W1 2021 SPOT
DSCI 5210.001Model based Business IntelligenceSummer 8W2 2021 SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2021 Syllabus SPOT
DSCI 3710.800Business Statistics with SpreadsheetsSpring 3W1 2021 Syllabus SPOT
DSCI 2710.002Data Analysis with SpreadsheetsSpring 2021 Syllabus SPOT
DSCI 5210.001Model based Business IntelligenceSpring 2021 SPOT
DSCI 5210.501Model based Business IntelligenceSpring 2021 SPOT
DSCI 3710.004Business Statistics with SpreadsheetsFall 2020 Syllabus SPOT
DSCI 2710.006Data Analysis with SpreadsheetsFall 8W2 2020 Syllabus SPOT
DSCI 5180.002Introduction to the Business Decision ProcessFall 2020 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessFall 2020 SPOT
DSCI 5180.501Introduction to the Business Decision ProcessFall 2020 SPOT
DSCI 5210.001Model based Business IntelligenceFall 2020 SPOT
DSCI 5210.026Model based Business IntelligenceFall 2020 SPOT
DSCI 5210.501Model based Business IntelligenceFall 2020 SPOT
MSCI 6900.700Special ProblemsFall 2020 SPOT
MSCI 6900.701Special ProblemsFall 2020 SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2020 Syllabus SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSummer 3W1 2020 Syllabus SPOT
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2020 Syllabus SPOT
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2020 Syllabus
DSCI 3710.005Business Statistics with SpreadsheetsSpring 2020 Syllabus
DSCI 3710.800Business Statistics with SpreadsheetsSpring 3W1 2020
DSCI 2710.002Data Analysis with SpreadsheetsSpring 2020 Syllabus
DSCI 5210.001Model based Business IntelligenceSpring 2020
DSCI 5210.501Model based Business IntelligenceSpring 2020
DSCI 3710.004Business Statistics with SpreadsheetsFall 2019 Syllabus SPOT
DSCI 5180.001Introduction to the Business Decision ProcessFall 8W1 2019 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessFall 8W1 2019 SPOT
DSCI 5180.080Introduction to the Business Decision ProcessFall 8W1 2019 SPOT
DSCI 5210.001Model based Business IntelligenceFall 2019 SPOT
MSCI 6900.751Special ProblemsFall 2019
DSCI 3710.001Business Statistics with SpreadsheetsSummer 5W2 2019 Syllabus SPOT
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2019 Syllabus SPOT
MSCI 6900.757Special ProblemsSummer 10W 2019
DSCI 3710.001Business Statistics with SpreadsheetsSpring 2019 Syllabus SPOT
DSCI 3710.400Business Statistics with SpreadsheetsSpring 3W1 2019 Syllabus SPOT
DSCI 2710.002Data Analysis with SpreadsheetsSpring 2019 Syllabus SPOT
DSCI 5210.001Model based Business IntelligenceSpring 2019 SPOT
DSCI 5210.501Model based Business IntelligenceSpring 2019 SPOT
DSCI 3710.004Business Statistics with SpreadsheetsFall 2018 Syllabus SPOT
DSCI 2710.004Data Analysis with SpreadsheetsFall 2018 Syllabus SPOT
DSCI 3710.004Business Statistics with SpreadsheetsSummer 5W2 2018 Syllabus
DSCI 2710.005Data Analysis with SpreadsheetsSummer 5W1 2018 Syllabus SPOT
DSCI 2710.026Data Analysis with SpreadsheetsSummer 5W1 2018 Syllabus SPOT
DSCI 2710.002Data Analysis with SpreadsheetsSpring 2018 Syllabus SPOT
DSCI 3870.001Management ScienceSpring 2018 Syllabus SPOT
DSCI 2710.004Data Analysis with SpreadsheetsFall 2017 Syllabus SPOT
DSCI 3870.002Management ScienceFall 2017 Syllabus SPOT
DSCI 3870.001Management ScienceSpring 2017 Syllabus SPOT
DSCI 3870.002Management ScienceSpring 2017 Syllabus SPOT
DSCI 3870.001Management ScienceFall 2016 Syllabus SPOT
DSCI 3870.002Management ScienceFall 2016 Syllabus SPOT
DSCI 3710.005Business Statistics with SpreadsheetsSpring 2016 Syllabus SPOT
DSCI 3870.001Management ScienceSpring 2016 Syllabus SPOT
DSCI 3870.001Management ScienceFall 2015 Syllabus SPOT
DSCI 3870.002Management ScienceFall 2015 Syllabus SPOT
DSCI 3710.005Business Statistics with SpreadsheetsSpring 2015 Syllabus
DSCI 3870.001Management ScienceSpring 2015 Syllabus
DSCI 3710.004Business Statistics with SpreadsheetsFall 2014 Syllabus
DSCI 3870.002Management ScienceFall 2014 Syllabus
DSCI 3710.005Business Statistics with SpreadsheetsSpring 2014
DSCI 3870.001Management ScienceSpring 2014
DSCI 3710.004Business Statistics with SpreadsheetsFall 2013
DSCI 3870.002Management ScienceFall 2013
DSCI 3710.005Business Statistics with SpreadsheetsSpring 2013
DSCI 3870.001Management ScienceSpring 2013
DSCI 3710.004Business Statistics with SpreadsheetsFall 2012
DSCI 3870.002Management ScienceFall 2012
DSCI 3710.005Business Statistical Analysis Using SpreadsheetsSpring 2012
DSCI 3870.001Management ScienceSpring 2012
DSCI 3710.004Business Statistical Analysis Using SpreadsheetsFall 2011
DSCI 3870.002Management ScienceFall 2011
DSCI 3710.005Business Statistical Analysis Using SpreadsheetsSpring 2011
DSCI 3870.001Management ScienceSpring 2011

Published Intellectual Contributions

    Conference Proceeding

  • Kulkarni, S., Tarakci, H. (2016). Comparing Two Means Using Independent Samples of Unknown Variance. Other. http://demonstrations.wolfram.com/ComparingTwoMeansUsingIndependentSamplesOfUnknownVariance/
  • Tarakci, H. (2016). Manufacturer, Maintenance Contractor and Joint Profits. Other. http://demonstrations.wolfram.com/ManufacturerMaintenanceContractorAndJointProfits/
  • Tarakci, H., Tang, K., Teyarachakul, S. (2010). Learning and Forgetting Effects on Maintenance Outsourcing. IASK Global Management Conference.
  • Tarakci, H., Sharafali, M., Ozdemir, Z.D. (2007). Optimal Staffing Policy and Telemedicine. Americas Conference on Information Systems.
  • Tarakci, H., Tang, K., Teyarachakul, S. (2006). Learning and Forgetting Effects on Maintenance Outsourcing. Decision Sciences Institute.
  • Tarakci, H., Tang, K. (2003). Incentive Maintenance Contracts for Optimizing Channel Profit. Decision Sciences Institute.
  • Journal Article

  • Akcura, T., Ozdemir, Z., Tarakci, H. (2024). A Game-Theoretic Analysis of the Adoption of Patient-Generated Health Data. Journal of Theoretical and Applied Electronic Commerce Research.
  • Wang, Y., Tarakci, H., Prybutok, V.R. (2023). Model Comparison of Regression, Neural Networks, and XGBoost as Applied to the English Premier League Transfer Market. Other. 23 (6) 543-559.
  • Kumar, A., Amin, M., Tarakci, H., Prybutok, V.R. (2023). Distribution and Transportation Model for COVID-19 Vaccine. International Journal of Enterprise Network Management. 14 (1-2) 78-98.
  • Ta, A., Tarakci, H., Kulkarni, S., Prybutok, V.R., Pavur, R.J. (2023). The effects of cyber threats on maintenance outsourcing and age replacement policy. Computers in Industry. 144 103787.
  • Gulzari, A., Tarakci, H. (2021). A healthcare location-allocation model with an application of telemedicine for an earthquake response phase. International Journal of Disaster Risk Reduction. 55 102100.
  • Gulzari, A., Tarakci, H. (2021). A healthcare location-allocation model with an application of telemedicine for an earthquake response phase. International Journal of Disaster Risk Reduction.
  • Sharafali, M., Tarakci, H., Kulkarni, S., Shahul Hameed, R.A. (2019). Optimal delivery due date for a supplier with an unreliable machine under outsourced maintenance. International Journal of Production Economics. 208 53-68.
  • Kulkarni, S., Mai, B., Amirkiaee, Y., Tarakci, H. (2019). Dynamic Interactive Visualizations: Implications of Seeing, Doing, and Playing for Quantitative Analysis Pedagogy. INFORMS Transactions on Education. 19 (3) 111-159. https://doi.org/10.1287/ited.2018.0203
  • Tarakci, H., Kulkarni, S., Ozdemir, Z.D. (2018). The Impact of Wearable Devices and Performance Payments on Health Outcome. International Journal of Production Economics. 200 291-301.
  • Tarakci, H. (2016). Two Types of Learning Effects on Maintenance Activities. International Journal of Production Research. 54 1721-1734.
  • Ponnaiyan, S., Kulkarni, S.S., Tarakci, H. (2015). Supply Chain Modeling for Humanitarian Operations during Seasonal Disasters. International Journal of Operations And Quantitative Management. 21 275-298.
  • Kulkarni, S.S., Ponnaiyan, S., Tarakci, H. (2015). Optimal Ordering Decisions under Various Return Policies. International Journal of Production Research. 53 3720-3734.
  • Tarakci, H., Ponnaiyan, S., Kulkarni, S.S. (2014). Maintenance Outsourcing Contracts for a system with Backup Machines. International Journal of Production Research. 52 3259-3272.
  • Teyarachakul, S., Comez, D., Tarakci, H. (2014). Steady-state skill levels of workers in learning and forgetting environments: A dynamical system analysis. European Journal of Operational Research. 232 9-21.
  • Kulkarni, S.S., Tarakci, H., Boakye, K., Ponnaiyan, S., Lasuzzo, M. (2013). Facility Location With Adjacent Units: A Simple Approximation Scheme. International Journal of Information and Operations Management Education. 5 214-229.
  • Tarakci, H., Tang, K., Teyarachakul, S. (2013). Learning and forgetting effects on maintenance outsourcing. IIE Transactions. 45 449-463.
  • Tarakci, H., Tang, K., Teyarachakul, S. (2009). Learning Effects on Maintenance Outsourcing. European Journal of Operational Research. 192 138-150.
  • Tarakci, H., Ozdemir, Z.D., Sharafali, M. (2009). On the Staffing Policy and Technology Investment in a Specialty Hospital Offering Telemedicine. Decision Support Systems. 46 468-480.
  • Tarakci, H., Tang, K., Moskowitz, H., Plante, R. (2006). Incentive Maintenance Outsourcing Contracts for Channel Coordination and Improvement. IIE Transactions. 38 671-684.
  • Tarakci, H., Tang, K., Moskowitz, H., Plante, R. (2006). Maintenance Outsourcing of a Multi-process Manufacturing System with Multiple Contractors. IIE Transactions. 38 67-78.

Contracts, Grants and Sponsored Research

    Grant - Research

  • Tarakci, H. (Principal), "Manufacturing on Advanced Information (Rumors)," University of North Texas, $10000 Funded. (2018 - 2018).
,
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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