Faculty Profile

Roberto Cavazos

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

    

Education

PhD, University of Texas at Dallas, 1998.
Major: Political Economy
Degree Specialization: Applied Economics and Statistics
Dissertation Title: Metropolitan Income Growth and Convergence
MA, University of Texas at Dallas, 1995.
Major: Public Affairs

Current Scheduled Teaching*

DSCI 5330.002, Enterprise Applications of Business Intelligence, Spring 2024 Syllabus
DSCI 5330.005, Enterprise Applications of Business Intelligence, 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 5330.001, Enterprise Applications of Business Intelligence, Fall 2023 Syllabus SPOT
DSCI 5330.004, Enterprise Applications of Business Intelligence, Fall 2023 Syllabus SPOT
DSCI 5330.005, Enterprise Applications of Business Intelligence, Fall 2023 Syllabus SPOT
DSCI 5330.006, Enterprise Applications of Business Intelligence, Fall 2023 Syllabus SPOT
DSCI 4330.001, Enterprise Applications of Business Intelligence/Analytics, Fall 2023 Syllabus SPOT
DSCI 5330.003, Enterprise Applications of Business Intelligence, Summer 5W2 2023 Syllabus SPOT
DSCI 4330.002, Enterprise Applications of Business Intelligence/Analytics, Summer 5W2 2023 Syllabus SPOT
DSCI 5330.001, Enterprise Applications of Business Intelligence, Spring 2023 Syllabus SPOT
DSCI 5330.002, Enterprise Applications of Business Intelligence, Spring 2023 Syllabus SPOT
DSCI 5330.003, Enterprise Applications of Business Intelligence, Spring 2023 Syllabus SPOT
DSCI 5330.001, Enterprise Applications of Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 5330.002, Enterprise Applications of Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 5330.004, Enterprise Applications of Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 5330.005, Enterprise Applications of Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 5330.006, Enterprise Applications of Business Intelligence, Fall 2022 Syllabus SPOT
DSCI 4330.001, Enterprise Applications of Business Intelligence/Analytics, Fall 2022 Syllabus SPOT
DSCI 5330.003, Enterprise Applications of Business Intelligence, Summer 5W2 2022

* 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

Book
Steward, D., Cavazos, R. (2019). Big data analytics in US courts: uses, challenges, and implications. Springer Nature.
Cavazos, R. (2017). Metropolitan Income Growth and Convergence. Routledge.
Book Chapter
Cavazos, D. E., Cavazos, R. (2015). Evidence-based management and the scholar/practitioner rift in the private and public sectors. Evidence-Based Public Management. 60--72. Routledge.
Journal Article
Brown, K. W., Cavazos, R. (2005). Why is this show so dumb? Advertising revenue and program content of network television. Review of Industrial Organization. 27, 17--34. Kluwer Academic Publishers.
Cavazos, R., Buss, T. F. (2003). Electric industry restructuring: An overview of the policy issues. Other. 20(2), 203--218. Blackwell Publishing Ltd Oxford, UK.
Cavazos, R. (2003). The political economy of electricity deregulation: Appointed vs. elected utility commissioners. Other. 20(2), 255--262. Wiley Online Library.
Brown, K. S., Cavazos, R. (2002). Network revenues and African American broadcast television programs. Other. 15(4), 227--239. Taylor \& Francis.
Seldon, B. J., Jung, C., Cavazos, R. (1998). Market power among physicians in the US, 1983--1991. The Quarterly Review of Economics and Finance. 38(4), 799--824. Elsevier.
Other
Brown, K. S., Cavazos, R. (2003). Empirical aspects of advertiser preferences and program content of network television. Federal Communications Commission.
,
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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