Faculty Profile

Ravi Vadapalli

Title
Adjunct Faculty
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, Andhra University, 1994.
Major: Nuclear Physics

Current Scheduled Teaching*

CSCE 5300.006, Introduction to Big Data and Data Science, Fall 2024
CSCE 5300.400, Introduction to Big Data and Data Science, 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*

CSCE 4300.400, Intro to Big Data and Data Science, Spring 2024 Syllabus SPOT
CSCE 5300.003, Introduction to Big Data and Data Science, Spring 2024 Syllabus SPOT
CSCE 5300.400, Introduction to Big Data and Data Science, Spring 2024 Syllabus SPOT
CSCE 5300.006, Introduction to Big Data and Data Science, Fall 2023 SPOT
CSCE 5300.007, Introduction to Big Data and Data Science, Fall 2023 SPOT
CSCE 4300.001, Intro to Big Data and Data Science, Spring 2023 Syllabus SPOT
CSCE 5300.003, Introduction to Big Data and Data Science, Spring 2023 Syllabus SPOT
CSCE 5300.007, Introduction to Big Data and Data Science, Spring 2023 Syllabus SPOT
CSCE 5300.001, Introduction to Big Data and Data Science, Fall 2022 Syllabus SPOT
CSCE 5300.003, Introduction to Big Data and Data Science, Fall 2022 Syllabus SPOT
CSCE 5300.001, Introduction to Big Data and Data Science, Summer 10W 2022 SPOT
CSCE 5300.004, Introduction to Big Data and Data Science, Spring 2022 SPOT
CSCE 5300.005, Introduction to Big Data and Data Science, Spring 2022 Syllabus SPOT
CSCE 5300.001, Introduction to Big Data and Data Science, Fall 2021 SPOT
CSCE 5300.003, Introduction to Big Data and Data Science, Fall 2021 SPOT
CSCE 5300.008, Introduction to Big Data and Data Science, Fall 2021 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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