Faculty Profile

Thuan Nguyen

Title
Clinical Associate Professor
Department
Toulouse Graduate School
College
University of North Texas

    

Education

PhD, NOVA Southeastern Univeristy, 2016.
Major: Information Systems
Degree Specialization: Knowledge Management
Dissertation Title: Assessing Knowledge Management Values By Using Intellectual Capital to Measure Organizational Performance
MS, The University of Texas at Dallas, 2011.
Major: Management Information Systems
BS, The University of Texas at Austin, 1995.
Major: Computer Science

Current Scheduled Teaching*

ADTA 5750.001, Applied Natural Language Processing, Spring 2023 Syllabus
ADTA 5550.110, Deep Learning with Big Data, Spring 2023 Syllabus
ADTA 5560.100, Recurrent Neural Networks for Sequence Data, Spring 2023 Syllabus
ADTA 5560.501, Recurrent Neural Networks for Sequence Data, Spring 2023 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 5240B.001, Data Storing and Retrieving, Fall 4W3 2022 Syllabus
ADTA 5550.110, Deep Learning with Big Data, Fall 8W2 2022 Syllabus SPOT
ADTA 5550.501, Deep Learning with Big Data, Fall 2022 Syllabus SPOT
ADTA 5560.100, Recurrent Neural Networks for Sequence Data, Fall 8W1 2022 Syllabus SPOT
ADTA 5550.110, Deep Learning with Big Data, Summer 8W2 2022 Syllabus SPOT
ADTA 5550.110, Deep Learning with Big Data, Spring 8W2 2022 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Spring 2022 Syllabus SPOT
IPAC 4240.501, Principles of Data Structures, Harvesting and Wrangling, Spring 2022 Syllabus SPOT
ADTA 5560.100, Recurrent Neural Networks for Sequence Data, Spring 8W1 2022 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Fall 8W2 2021 Syllabus SPOT
ADTA 5550.501, Deep Learning with Big Data, Fall 2021 Syllabus SPOT
ADTA 5250.001, Large Data Visualization, Fall 2021 SPOT
ADTA 5560.100, Recurrent Neural Networks for Sequence Data, Fall 8W1 2021 Syllabus SPOT
ADTA 5560.126, Recurrent Neural Networks for Sequence Data, Fall 8W1 2021 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Summer 8W2 2021 SPOT
ADTA 5550.101, Deep Learning with Big Data, Summer 8W2 2021 SPOT
IPAC 4240.700, Principles of Data Structures, Harvesting and Wrangling, Summer 8W1 2021 Syllabus SPOT
IPAC 4240.750, Principles of Data Structures, Harvesting and Wrangling, Summer 8W1 2021 Syllabus SPOT
ADTA 5550.001, Deep Learning with Big Data, Spring 8W2 2021 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Spring 8W2 2021 Syllabus SPOT
ADTA 5240.001, Harvesting, Storing and Retrieving Data, Spring 2021 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Spring 2021 Syllabus SPOT
ADTA 5250.800, Large Data Visualization, Spring 3W1 2021 Syllabus SPOT
ADTA 5250.826, Large Data Visualization, Spring 3W1 2021 Syllabus
IPAC 4240.001, Principles of Data Structures, Harvesting and Wrangling, Spring 2021 Syllabus SPOT
ADTA 5560.100, Recurrent Neural Networks for Sequence Data, Spring 8W1 2021 Syllabus SPOT
ADTA 5560.126, Recurrent Neural Networks for Sequence Data, Spring 8W1 2021 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Fall 8W1 2020 Syllabus SPOT
ADTA 5550.501, Deep Learning with Big Data, Fall 2020 Syllabus SPOT
ADTA 5340.501, Discovery and Learning with Big Data, Fall 2020 Syllabus SPOT
CSCE 5215.501, Machine Learning, Fall 2020 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Summer 8W2 2020 Syllabus SPOT
ADTA 5550.126, Deep Learning with Big Data, Summer 8W2 2020 Syllabus SPOT
ADTA 5550.080, Deep Learning with Big Data, Spring 8W2 2020 Syllabus
ADTA 5550.086, Deep Learning with Big Data, Spring 8W2 2020 Syllabus
ADTA 5550.100, Deep Learning with Big Data, Spring 8W2 2020 Syllabus
ADTA 5340.501, Discovery and Learning with Big Data, Spring 2020 Syllabus
ADTA 5240.080, Harvesting, Storing and Retrieving Data, Spring 8W1 2020 Syllabus
ADTA 5240.086, Harvesting, Storing and Retrieving Data, Spring 8W1 2020 Syllabus
ADTA 5240.100, Harvesting, Storing and Retrieving Data, Spring 8W1 2020 Syllabus
CSCE 5200.100, Information Retrieval and Web Search, Spring 8W1 2020 Syllabus
ADTA 5250.800, Large Data Visualization, Spring 3W1 2020 Syllabus
ADTA 5250.880, Large Data Visualization, Spring 3W1 2020 Syllabus
ADTA 5250.886, Large Data Visualization, Spring 3W1 2020 Syllabus
CSCE 5215.501, Machine Learning, Spring 2020 Syllabus
ADTA 5900.001, Special Problems, Spring 2020 Syllabus
ADTA 5900.003, Special Problems, Spring 8W2 2020 Syllabus
ADTA 5550.080, Deep Learning with Big Data, Fall 8W2 2019 Syllabus SPOT
ADTA 5550.100, Deep Learning with Big Data, Fall 8W2 2019 Syllabus SPOT
ADTA 5340.501, Discovery and Learning with Big Data, Fall 2019 Syllabus SPOT
ADTA 5240.080, Harvesting, Storing and Retrieving Data, Fall 8W1 2019 Syllabus SPOT
ADTA 5240.086, Harvesting, Storing and Retrieving Data, Fall 8W1 2019 Syllabus SPOT
ADTA 5240.100, Harvesting, Storing and Retrieving Data, Fall 8W1 2019 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Fall 2019 Syllabus SPOT
CSCE 5200.080, Information Retrieval and Web Search, Fall 8W1 2019 Syllabus SPOT
CSCE 5200.501, Information Retrieval and Web Search, Fall 2019 Syllabus SPOT
CSCE 5215.501, Machine Learning, Fall 2019 Syllabus SPOT
ADTA 5250.080, Large Data Visualization, Summer 8W2 2019 Syllabus SPOT
ADTA 5250.100, Large Data Visualization, Summer 8W2 2019 Syllabus SPOT
CSCE 5320.080, Scientific Data Visualization, Summer 8W2 2019 Syllabus SPOT
ADTA 5900.080, Special Problems, Summer 8W2 2019 Syllabus SPOT
ADTA 5900.100, Special Problems, Summer 8W2 2019 Syllabus SPOT
ADTA 5900.126, Special Problems, Summer 8W2 2019 Syllabus SPOT
ADTA 5340.501, Discovery and Learning with Big Data, Spring 2019 Syllabus SPOT
ADTA 5240.080, Harvesting, Storing and Retrieving Data, Spring 8W1 2019 Syllabus SPOT
ADTA 5240.100, Harvesting, Storing and Retrieving Data, Spring 8W1 2019 Syllabus SPOT
CSCE 5200.100, Information Retrieval and Web Search, Spring 2019 Syllabus
ADTA 5250.080, Large Data Visualization, Spring 8W1 2019 Syllabus SPOT
ADTA 5250.100, Large Data Visualization, Spring 8W1 2019 Syllabus SPOT
CSCE 5215.501, Machine Learning, Spring 2019 Syllabus SPOT
ADTA 5900.080, Special Problems, Spring 3W1 2019 Syllabus SPOT
ADTA 5900.100, Special Problems, Spring 3W1 2019 Syllabus SPOT
ADTA 5900.501, Special Problems, Spring 2019 Syllabus
ADTA 5240.080, Harvesting, Storing and Retrieving Data, Fall 8W1 2018 Syllabus SPOT
ADTA 5240.100, Harvesting, Storing and Retrieving Data, Fall 8W1 2018 Syllabus SPOT
ADTA 5240.126, Harvesting, Storing and Retrieving Data, Fall 8W1 2018 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Fall 2018 Syllabus SPOT
ADTA 5250.100, Large Data Visualization, Fall 8W1 2018 Syllabus SPOT
ADTA 5250.501, Large Data Visualization, Fall 2018 Syllabus SPOT
CSCE 5320.501, Scientific Data Visualization, Fall 2018 Syllabus SPOT
INSD 5150.080, Large Data Visualization, Summer 8W2 2018 Syllabus SPOT
INSD 5150.086, Large Data Visualization, Summer 8W2 2018 Syllabus SPOT
INSD 5150.100, Large Data Visualization, Summer 8W2 2018 SPOT
INSD 5150.126, Large Data Visualization, Summer 8W2 2018 SPOT
CSCE 5320.080, Scientific Data Visualization, Summer 8W2 2018 SPOT
INSD 5170.080, Discovery and Learning with Big Data, Spring 8W2 2018 Syllabus SPOT
INSD 5170.086, Discovery and Learning with Big Data, Spring 8W2 2018 Syllabus
INSD 5170.100, Discovery and Learning with Big Data, Spring 8W2 2018 Syllabus SPOT
INSD 5170.701, Discovery and Learning with Big Data, Spring 8W2 2018 Syllabus
INSD 5160.080, Harvesting, Storing and Retrieving Data, Spring 8W1 2018 Syllabus SPOT
INSD 5160.100, Harvesting, Storing and Retrieving Data, Spring 8W1 2018 Syllabus
INSD 5160.701, Harvesting, Storing and Retrieving Data, Spring 8W1 2018 Syllabus
INSD 5150.086, Large Data Visualization, Spring 8W1 2018 Syllabus
INSD 5150.501, Large Data Visualization, Spring 2018 Syllabus SPOT
INSD 5150.701, Large Data Visualization, Spring 8W1 2018 Syllabus SPOT
HLSV 5300.810, Information Systems for Healthcare Management, Fall 8W1 2017 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 Publications

Published Intellectual Contributions

Conference Proceeding
NGUYEN, T. L. (2019). AI: Deep Learning with Artificial Neural Networks. SWDSI.ORG. http://swdsi.org/proceedings/2019/Papers/AB052.PDF
Nguyen, T. L. (2019). A Framework for Five Big V's of Big Data and Organizational Culture in Firms. IEEE Proceedings. New York, NY: IEEE. https://ieeexplore.ieee.org/document/8622377
Nguyen, T. L. (2018). Teaching Big Data and Machine Learning with Cloud Technology and Python. AMCIS: Americas Conference on Information Systems. https://aisel.aisnet.org/amcis2018/Workshops/Presentations/14/
Nguyen, T. L. (2018). A Review of the Theoretical Views of the Firm – The Foundation of Research on the Impact of Knowledge Management and Intellectual Capital on Organizational Performance. 9. SWDSI: Southwest Decision Sciences Institute. http://www.swdsi.org/proceedings/2018/Papers/Papers/PA030.pdf
Nguyen, T. L. (2018). Apache Hadoop Ecosystem in Cloud: A Hands-On Workshop. 5. SWDSI: Southwest Decision Sciences Institute. http://www.swdsi.org/proceedings/2018/Papers/Papers/PA017.pdf
Nguyen, T. L. (2017). Setting Up a Hadoop System in Cloud - A Lab Activity for Big Data Analytics. 3(ISSN 2473 - 3857), 22. EDSIGCON (EDSIG Conference on Information Systems and Computing Education). http://proc.iscap.info/2017/cases/4480.pdf
Nguyen, T. L. (2017). Evaluate Impacts of Big Data on Organizational Performance: Using Intellectual Capital as a Proxy. (ISBN: 1-60132-448-0), 7. CSREA Press. https://csce.ucmss.com/books/LFS/CSREA2017/ABD6102.pdf
Journal Article
Nguyen, T. (2021). Set up a Deep Learning Server on Google Cloud Platform. Medium. https://medium.com/p/b4d6823d6cd8
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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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