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Hamidreza Moradi

Title: Adjunct Faculty

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Texas at San Antonio, 2020
    Major: Computer Science
    Dissertation: "User-Level Profiler-Based Predictive Framework for Applications in Multi-Tenant Clouds"
  • MS, University of Texas at San Antonio, 2019
    Major: Computer Science

Current Scheduled Teaching

ADTA 5550.400Deep Learning with Big 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 5550.400Deep Learning with Big DataFall 8W1 2024 SPOT
ADTA 5560.410Recurrent Neural Networks for Sequence DataFall 8W2 2024 SPOT
ADTA 5550.400Deep Learning with Big DataSummer 8W1 2024 SPOT
ADTA 5550.401Deep Learning with Big DataSpring 8W1 2024 SPOT
ADTA 5560.410Recurrent Neural Networks for Sequence DataSpring 8W2 2024 SPOT
ADTA 5550.101Deep Learning with Big DataFall 8W1 2023 SPOT
ADTA 5560.411Recurrent Neural Networks for Sequence DataFall 8W2 2023 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.
,
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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