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Jesus U. Quevedo-Torrero

Title: Clinical Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • MEd, University of St. Thomas, 2008
    Major: Educational Administration
  • PhD, University of Houston, 2004
    Major: Computer Science
    Dissertation: Improving web retrieval by mining the html tags for keywords and exploring the hyperlink structures of web pages
  • MS, State University of New York at Binghamton, 1995
    Major: Computer Science
  • BS, Universidad Autónoma de Guadalajara, 1991
    Major: Computer Engieneering

Current Scheduled Teaching

No current or future courses scheduled.

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 5200.400Information Retrieval and Web SearchSummer 10W 2024 SPOT
CSCE 5200.401Information Retrieval and Web SearchSummer 10W 2024 SPOT
CSCE 5350.001Fundamentals of Database SystemsSpring 2024 SPOT
CSCE 5350.003Fundamentals of Database SystemsSpring 2024 SPOT
CSCE 5350.005Fundamentals of Database SystemsSpring 2024 SPOT
CSCE 5350.002Fundamentals of Database SystemsFall 2023 SPOT
CSCE 5350.004Fundamentals of Database SystemsFall 2023 SPOT
CSCE 5200.006Information Retrieval and Web SearchFall 2023 SPOT
CSCE 5200.002Information Retrieval and Web SearchSummer 10W 2023 SPOT
CSCE 5200.003Information Retrieval and Web SearchSummer 10W 2023 SPOT
CSCE 5200.004Information Retrieval and Web SearchSummer 10W 2023 SPOT
CSCE 5370.002Distributed & Parallel Database SystemsSpring 2023 SPOT
CSCE 5350.001Fundamentals of Database SystemsSpring 2023 SPOT
CSCE 5350.004Fundamentals of Database SystemsSpring 2023 SPOT
CSCE 5400.001Formal Languages, Automata and ComputabilityFall 2022 Syllabus SPOT
CSCE 5215.002Machine LearningFall 2022 Syllabus SPOT
CSCE 5200.001Information Retrieval and Web SearchSummer 8W1 2022 Syllabus SPOT
CSCE 5215.002Machine LearningSummer 8W2 2022 SPOT
CSCE 5215.003Machine LearningSummer 8W1 2022 Syllabus SPOT
CSCE 5370.002Distributed & Parallel Database SystemsSpring 2022 Syllabus SPOT
CSCE 5350.001Fundamentals of Database SystemsSpring 2022 Syllabus SPOT
CSCE 5200.001Information Retrieval and Web SearchSpring 2022 Syllabus SPOT
CSCE 5215.004Machine LearningSpring 2022 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.
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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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