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Beddhu Murali

Title: Clinical Associate Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Mississippi State University, 1992
    Major: Engineering
    Specialization: Aerospace Engineering

Current Scheduled Teaching

CSCE 4357.001Database Systems SecuritySpring 2025
CSCE 5370.002Distributed & Parallel Database SystemsSpring 2025
CSCE 3220.001Human Computer InterfacesSpring 2025
CSCE 5450.001Programming LanguagesSpring 2025
CSCE 5214.002Software Development for Artificial IntelligenceSpring 2025
CSCE 4575.001Blockchain and ApplicationsFall 2024 Syllabus
CSCE 4575.201Blockchain and ApplicationsFall 2024 Syllabus
CSCE 4575.202Blockchain and ApplicationsFall 2024 Syllabus
CSCE 5575.001Blockchain and ApplicationsFall 2024
CSCE 5575.201Blockchain and ApplicationsFall 2024
CSCE 5575.202Blockchain and ApplicationsFall 2024
CSCE 3220.401Human Computer InterfacesFall 2024 Syllabus
CSCE 5290.004Natural Language ProcessingFall 2024
CSCE 4430.001Programming LanguagesFall 2024 Syllabus

Previous Scheduled Teaching

CSCE 2100.501Foundations of ComputingSummer 10W 2024 Syllabus SPOT
CSCE 2100.551Foundations of ComputingSummer 10W 2024 Syllabus SPOT
CSCE 2100.552Foundations of ComputingSummer 10W 2024 Syllabus
CSCE 5430.400Software EngineeringSummer 10W 2024 SPOT
CSCE 4357.002Database Systems SecuritySpring 2024 Syllabus SPOT
CSCE 5370.002Distributed & Parallel Database SystemsSpring 2024 SPOT
CSCE 3220.001Human Computer InterfacesSpring 2024 Syllabus SPOT
CSCE 5450.001Programming LanguagesSpring 2024 SPOT
CSCE 5214.004Software Development for Artificial IntelligenceSpring 2024 SPOT
CSCE 4575.001Blockchain and ApplicationsFall 2023 Syllabus SPOT
CSCE 5575.001Blockchain and ApplicationsFall 2023 SPOT
CSCE 3220.001Human Computer InterfacesFall 2023 Syllabus SPOT
CSCE 5290.004Natural Language ProcessingFall 2023 SPOT
CSCE 4430.002Programming LanguagesFall 2023 Syllabus SPOT
CSCE 4555.001Computer ForensicsSpring 2023 Syllabus SPOT
CSCE 5555.001Computer ForensicsSpring 2023 SPOT
CSCE 1045.001Computer Programming IISpring 2023 Syllabus SPOT
CSCE 1045.313Computer Programming IISpring 2023 Syllabus SPOT
CSCE 1045.315Computer Programming IISpring 2023 Syllabus
CSCE 1045.316Computer Programming IISpring 2023 Syllabus SPOT
CSCE 3110.501Data Structures and AlgorithmsSpring 2023 Syllabus SPOT
CSCE 5225.001Digital Image ProcessingSpring 2023 SPOT
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2023 Syllabus SPOT
CSCE 4290.001Introduction to Natural Language ProcessingSpring 2023 Syllabus SPOT
CSCE 5290.002Natural Language ProcessingSpring 2023 SPOT
CSCE 4575.001Blockchain and ApplicationsFall 2022 Syllabus SPOT
CSCE 5575.001Blockchain and ApplicationsFall 2022 SPOT
CSCE 1045.001Computer Programming IIFall 2022 Syllabus SPOT
CSCE 1045.306Computer Programming IIFall 2022 Syllabus SPOT
CSCE 5290.004Natural Language ProcessingFall 2022 SPOT

Published Intellectual Contributions

    Conference Proceeding

  • Chakraborty, S., Ali, D., Murali, B. (2022). A Novel Distributed Database Architectural Model for Mobile Cloud Computing. Lecture Notes in Networks and Systems book series (LNNS,volume 426). International Conference on Computational Techniques and Applications (ICCTA 2021). https://link.springer.com/chapter/10.1007/978-981-19-0745-6_17
  • Journal Article

  • Chakraborty, S., Murali, B., Mitra, A. (2022). An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images. International Journal of Environmental Research and Public Health. https://pubmed.ncbi.nlm.nih.gov/35206201/
  • Software

  • Murali, B. (2023). web3-sveltekit-bundle. https://github.com/bumi001/web3-sveltekit-bundle
,
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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