Faculty Profile

Amrita Thomas

Title
Clinical Assistant Professor
Department
ADA - Advanced Data Analytics
College
University of North Texas

    

Education

PhD, The University of Texas at Arlington, 2022.
Major: Business Administration
Degree Specialization: Management Science
Dissertation Title: Job Satisfaction Through the Lens of Turnover Intentions and Burnout for Academic Faculty
MBA, The University of Texas at Dallas, 2012.
Major: Master of Business Administration
MS, The University of Texas at Dallas, 2012.
Major: Healthcare Management
BS, The University of Texas at Dallas, 2008.
Major: Biology and Business Administration

Current Scheduled Teaching*

ADTA 5130.401, Data Analytics I, Summer 2024
ADTA 5250.400, Large Data Visualization, Summer 2024
IPAC 4250.100, Principles of Data Visualization for Large Data, Summer 2024

* 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 5130.402, Data Analytics I, Spring 8W1 2024 Syllabus SPOT
ADTA 5250.003, Large Data Visualization, Spring 2024 Syllabus SPOT
ADTA 5250.501, Large Data Visualization, Spring 2024 Syllabus SPOT
IPAC 4130.003, Data Analytics and Computational Statistics 1, Fall 2023 Syllabus SPOT
IPAC 4130.700, Data Analytics and Computational Statistics 1, Fall 8W1 2023 Syllabus SPOT
ADTA 5130.003, Data Analytics I, Fall 2023 Syllabus SPOT
ADTA 5130.013, Data Analytics I, Fall 2023 Syllabus SPOT
ADTA 5250.002, Large Data Visualization, Fall 2023 Syllabus SPOT
IPAC 4130.100, Data Analytics and Computational Statistics 1, Summer 8W1 2023 Syllabus SPOT
ADTA 5130.100, Data Analytics I, Summer 8W1 2023 Syllabus SPOT
ADTA 5130.101, Data Analytics I, Spring 8W1 2023 Syllabus SPOT
ADTA 5240B.001, Data Storing and Retrieving, Spring 4W2 2023 Syllabus
ADTA 5240A.001, Fundamentals of Data Engineering, Spring 4W4 2023 Syllabus
ADTA 5240A.001, Fundamentals of Data Engineering, Spring 4W1 2023 Syllabus
ADTA 5240.001, Harvesting, Storing and Retrieving Data, Spring 2023 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Spring 2023 Syllabus SPOT
IPAC 4240.001, Principles of Data Structures, Harvesting and Wrangling, Spring 2023 Syllabus SPOT
IPAC 4240.501, Principles of Data Structures, Harvesting and Wrangling, Spring 2023 Syllabus SPOT
ADTA 5240C.001, Wrangling and Querying Data, Spring 4W3 2023 Syllabus
IPAC 4130.700, Data Analytics and Computational Statistics 1, Fall 8W1 2022 Syllabus SPOT
ADTA 5130.001, Data Analytics I, Fall 2022 Syllabus SPOT
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Fall 2022 Syllabus SPOT
IPAC 4240.501, Principles of Data Structures, Harvesting and Wrangling, Fall 2022 Syllabus SPOT
ADTA 5130.111, Data Analytics I, Summer 8W2 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.

,
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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