Faculty Profile

Satya Vrvt Parupudi

Title
Clinical Associate Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, Purdue University, 2018.
Major: Electrical and Computer Engineering
Dissertation Title: Electrolytic Microsystems for Biomedical applications
MS, Purdue University, 2013.
Major: Technology
Degree Specialization: Engineering Technology

Current Scheduled Teaching*

CSCE 3612.001, Embedded Systems Design, Summer 2024
CSCE 3612.202, Embedded Systems Design, Summer 2024
CSCE 3600.001, Principles of Systems Programming, Summer 2024
CSCE 3600.002, Principles of Systems Programming, Summer 2024
CSCE 3600.301, Principles of Systems Programming, Summer 2024
CSCE 3600.302, Principles of Systems Programming, Summer 2024
CSCE 3600.303, Principles of Systems Programming, Summer 2024
CSCE 3600.304, Principles of Systems Programming, Summer 2024
CSCE 3110.002, Data Structures and Algorithms, Spring 2024 Syllabus
CSCE 5612.002, Embedded Hardware/Software Design, Spring 2024 Syllabus
CSCE 3600.001, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.002, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.201, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.202, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.203, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.204, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.205, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.206, Principles of Systems Programming, Spring 2024 Syllabus
CSCE 3600.207, Principles of Systems Programming, 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*

CSCE 3110.001, Data Structures and Algorithms, Fall 2023 Syllabus SPOT
CSCE 3600.001, Principles of Systems Programming, Fall 2023 Syllabus SPOT
CSCE 3600.003, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.004, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.208, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.209, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.210, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.213, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.214, Principles of Systems Programming, Fall 2023 SPOT
CSCE 3600.215, Principles of Systems Programming, Fall 2023 SPOT
CSCE 5612.002, Embedded Hardware/Software Design, Spring 2023 Syllabus SPOT
CSCE 4205.002, Introduction to Machine Learning, Spring 2023 Syllabus SPOT
CSCE 5215.006, Machine Learning, Spring 2023 SPOT
CSCE 3600.001, Principles of Systems Programming, Spring 2023 Syllabus SPOT
CSCE 3600.002, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.201, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.202, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.203, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.204, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.205, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.206, Principles of Systems Programming, Spring 2023 SPOT
CSCE 3600.207, Principles of Systems Programming, Spring 2023 SPOT
CSCE 4205.001, Introduction to Machine Learning, Fall 2022 Syllabus SPOT
CSCE 5215.001, Machine Learning, Fall 2022 Syllabus SPOT
CSCE 5215.600, Machine Learning, Fall 2022 SPOT
CSCE 3600.001, Principles of Systems Programming, Fall 2022 Syllabus SPOT
CSCE 3600.004, Principles of Systems Programming, Fall 2022 Syllabus SPOT
CSCE 3600.208, Principles of Systems Programming, Fall 2022 SPOT
CSCE 3600.209, Principles of Systems Programming, Fall 2022 SPOT
CSCE 3600.210, Principles of Systems Programming, Fall 2022 SPOT
CSCE 3600.214, Principles of Systems Programming, Fall 2022 SPOT
CSCE 4999.719, Senior Thesis, Fall 2022
CSCE 2610.021, Assembly Language and Computer Organization, Summer 10W 2022 Syllabus SPOT
CSCE 2610.201, Assembly Language and Computer Organization, Summer 10W 2022 SPOT
CSCE 4890.719, Directed Study, Summer 5W2 2022
CSCE 3612.021, Embedded Systems Design, Summer 10W 2022 Syllabus SPOT
CSCE 3612.201, Embedded Systems Design, Summer 10W 2022 SPOT
CSCE 5612.002, Embedded Hardware/Software Design, Spring 2022 Syllabus SPOT
CSCE 3600.001, Principles of Systems Programming, Spring 2022 Syllabus SPOT
CSCE 3600.002, Principles of Systems Programming, Spring 2022 Syllabus SPOT
CSCE 3600.201, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.202, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.203, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.204, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.205, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.206, Principles of Systems Programming, Spring 2022 SPOT
CSCE 3600.207, Principles of Systems Programming, Spring 2022 SPOT
CSCE 5350.003, Fundamentals of Database Systems, Fall 2021 SPOT
CSCE 4205.001, Introduction to Machine Learning, Fall 2021 Syllabus SPOT
CSCE 5215.001, Machine Learning, Fall 2021 Syllabus SPOT
CSCE 5215.008, Machine Learning, Fall 2021 SPOT
CSCE 5215.600, Machine Learning, Fall 2021 SPOT
CSCE 3600.001, Principles of Systems Programming, Fall 2021 Syllabus SPOT
CSCE 3600.004, Principles of Systems Programming, Fall 2021 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.

Awarded Grants

Contracts, Grants and Sponsored Research

Contract
Parupudi, S., De, S., "UNT-MIT, MAHE Manipal Collaborative Research Exchange, 2022," Sponsored by UNT International Affairs, University of North Texas, $1400 Funded. (July 2022August 10, 2022).
,
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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