Faculty Profile

Hakan Tarakci

Title
Associate Professor
Department
Information Technology and Decision Sciences
College
College of Business

    

Education

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

Current Scheduled Teaching*

DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2024 Syllabus
DSCI 5210.002, Model based Business Intelligence, Spring 2024 Syllabus
DSCI 5210.003, Model based Business Intelligence, Spring 2024 Syllabus
DSCI 4900.708, Special Problems, Spring 2024 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*

DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2023 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Fall 2023 Syllabus SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Summer 5W2 2023 Syllabus SPOT
DSCI 3710.002, Business Statistics with Spreadsheets, Summer 3W1 2023 Syllabus
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2023 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Summer 8W1 2023 Syllabus SPOT
DSCI 4900.708, Special Problems, Summer 5W2 2023
DSCI 4900.708, Special Problems, Summer 8W1 2023 Syllabus
DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2023 Syllabus SPOT
DSCI 5210.002, Model based Business Intelligence, Spring 2023 Syllabus SPOT
DSCI 5210.003, Model based Business Intelligence, Spring 2023 Syllabus SPOT
MSCI 6900.705, Special Problems, Spring 2023 SPOT
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2022 Syllabus SPOT
DSCI 5180.002, Introduction to the Business Decision Process, Fall 2022 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 5210.002, Model based Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Summer 5W2 2022 Syllabus SPOT
DSCI 3710.002, Business Statistics with Spreadsheets, Summer 3W1 2022 Syllabus SPOT
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2022 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Summer 8W2 2022 Syllabus SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2022 Syllabus SPOT
DSCI 2710.002, Data Analysis with Spreadsheets, Spring 2022 Syllabus SPOT
DSCI 5210.002, Model based Business Intelligence, Spring 2022 Syllabus SPOT
DSCI 5210.003, Model based Business Intelligence, Spring 2022 Syllabus SPOT
MSCI 6900.705, Special Problems, Spring 2022 Syllabus SPOT
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2021 Syllabus SPOT
DSCI 3710.006, Business Statistics with Spreadsheets, Fall 2021 Syllabus SPOT
DSCI 5180.002, Introduction to the Business Decision Process, Fall 2021 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Fall 2021 Syllabus SPOT
DSCI 5210.002, Model based Business Intelligence, Fall 2021 Syllabus SPOT
MSCI 6900.751, Special Problems, Fall 2021
DSCI 3710.001, Business Statistics with Spreadsheets, Summer 5W2 2021 Syllabus SPOT
DSCI 3710.002, Business Statistics with Spreadsheets, Summer 3W1 2021 Syllabus SPOT
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2021 Syllabus SPOT
DSCI 5180.001, Introduction to the Business Decision Process, Summer 3W1 2021 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Summer 8W2 2021 Syllabus SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2021 Syllabus SPOT
DSCI 3710.800, Business Statistics with Spreadsheets, Spring 3W1 2021 Syllabus SPOT
DSCI 2710.002, Data Analysis with Spreadsheets, Spring 2021 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Spring 2021 Syllabus SPOT
DSCI 5210.501, Model based Business Intelligence, Spring 2021 Syllabus SPOT
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2020 Syllabus SPOT
DSCI 2710.006, Data Analysis with Spreadsheets, Fall 8W2 2020 Syllabus SPOT
DSCI 5180.002, Introduction to the Business Decision Process, Fall 2020 Syllabus SPOT
DSCI 5180.026, Introduction to the Business Decision Process, Fall 2020 SPOT
DSCI 5180.501, Introduction to the Business Decision Process, Fall 2020 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Fall 2020 Syllabus SPOT
DSCI 5210.026, Model based Business Intelligence, Fall 2020 SPOT
DSCI 5210.501, Model based Business Intelligence, Fall 2020 Syllabus SPOT
MSCI 6900.700, Special Problems, Fall 2020 SPOT
MSCI 6900.701, Special Problems, Fall 2020 SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Summer 5W2 2020 Syllabus SPOT
DSCI 3710.002, Business Statistics with Spreadsheets, Summer 3W1 2020 Syllabus SPOT
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2020 Syllabus SPOT
DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2020 Syllabus
DSCI 3710.005, Business Statistics with Spreadsheets, Spring 2020 Syllabus
DSCI 3710.800, Business Statistics with Spreadsheets, Spring 3W1 2020
DSCI 2710.002, Data Analysis with Spreadsheets, Spring 2020 Syllabus
DSCI 5210.001, Model based Business Intelligence, Spring 2020 Syllabus
DSCI 5210.501, Model based Business Intelligence, Spring 2020 Syllabus
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2019 Syllabus SPOT
DSCI 5180.001, Introduction to the Business Decision Process, Fall 8W1 2019 Syllabus SPOT
DSCI 5180.026, Introduction to the Business Decision Process, Fall 8W1 2019 Syllabus SPOT
DSCI 5180.080, Introduction to the Business Decision Process, Fall 8W1 2019 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Fall 2019 Syllabus SPOT
MSCI 6900.751, Special Problems, Fall 2019
DSCI 3710.001, Business Statistics with Spreadsheets, Summer 5W2 2019 Syllabus SPOT
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2019 Syllabus SPOT
MSCI 6900.757, Special Problems, Summer 10W 2019
DSCI 3710.001, Business Statistics with Spreadsheets, Spring 2019 Syllabus SPOT
DSCI 3710.400, Business Statistics with Spreadsheets, Spring 3W1 2019 Syllabus SPOT
DSCI 2710.002, Data Analysis with Spreadsheets, Spring 2019 Syllabus SPOT
DSCI 5210.001, Model based Business Intelligence, Spring 2019 SPOT
DSCI 5210.501, Model based Business Intelligence, Spring 2019 SPOT
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2018 Syllabus SPOT
DSCI 2710.004, Data Analysis with Spreadsheets, Fall 2018 Syllabus SPOT
DSCI 3710.004, Business Statistics with Spreadsheets, Summer 5W2 2018 Syllabus
DSCI 2710.005, Data Analysis with Spreadsheets, Summer 5W1 2018 Syllabus SPOT
DSCI 2710.026, Data Analysis with Spreadsheets, Summer 5W1 2018 Syllabus SPOT
DSCI 2710.002, Data Analysis with Spreadsheets, Spring 2018 Syllabus SPOT
DSCI 3870.001, Management Science, Spring 2018 Syllabus SPOT
DSCI 2710.004, Data Analysis with Spreadsheets, Fall 2017 Syllabus SPOT
DSCI 3870.002, Management Science, Fall 2017 Syllabus SPOT
DSCI 3870.001, Management Science, Spring 2017 Syllabus SPOT
DSCI 3870.002, Management Science, Spring 2017 Syllabus SPOT
DSCI 3870.001, Management Science, Fall 2016 Syllabus SPOT
DSCI 3870.002, Management Science, Fall 2016 Syllabus SPOT
DSCI 3710.005, Business Statistics with Spreadsheets, Spring 2016 Syllabus SPOT
DSCI 3870.001, Management Science, Spring 2016 Syllabus SPOT
DSCI 3870.001, Management Science, Fall 2015 Syllabus SPOT
DSCI 3870.002, Management Science, Fall 2015 Syllabus SPOT
DSCI 3710.005, Business Statistics with Spreadsheets, Spring 2015 Syllabus
DSCI 3870.001, Management Science, Spring 2015 Syllabus
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2014 Syllabus
DSCI 3870.002, Management Science, Fall 2014 Syllabus
DSCI 3710.005, Business Statistics with Spreadsheets, Spring 2014
DSCI 3870.001, Management Science, Spring 2014
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2013
DSCI 3870.002, Management Science, Fall 2013
DSCI 3710.005, Business Statistics with Spreadsheets, Spring 2013
DSCI 3870.001, Management Science, Spring 2013
DSCI 3710.004, Business Statistics with Spreadsheets, Fall 2012
DSCI 3870.002, Management Science, Fall 2012
DSCI 3710.005, Business Statistical Analysis Using Spreadsheets, Spring 2012
DSCI 3870.001, Management Science, Spring 2012
DSCI 3710.004, Business Statistical Analysis Using Spreadsheets, Fall 2011
DSCI 3870.002, Management Science, Fall 2011
DSCI 3710.005, Business Statistical Analysis Using Spreadsheets, Spring 2011
DSCI 3870.001, Management Science, Spring 2011

* 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 Publications

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.

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Tarakci, H. (Principal), "Manufacturing on Advanced Information (Rumors)," University of North Texas, $10000 Funded. (20182018).
,
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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