Faculty Profile
Martin O'Neill II
Title
Research Associate Professor
Department
Institute of Applied Science
College
College of Science
Adjunct Faculty
Computer Science and Engineering
College of Engineering
Curriculum Vitae
Education
PhD, University of North Texas, 2014.
Major: Computer Science
Degree Specialization: Computational Analysis of Biological Emergency Response Plans: A Computational Methodology for Addressing Differentiated Access in Response Plan Design
MS, University of North Texas, 2009.
Major: Computer Science
Degree Specialization: Computational Epidemiology - Analyzing Exposure Risk: A Deterministic, Agent-Based Approach
Certificate, University of North Texas, 2008.
Major: Geographic Information Systems
BS, University of North Texas, 2003.
Major: Computer Science
Current Scheduled Teaching*
CSCE 4600.001, Introduction to Operating Systems, Spring 2020 Syllabus
CSCE 4600.002, Introduction to Operating Systems, Spring 2020
CSCE 4600.201, Introduction to Operating Systems, Spring 2020
CSCE 4600.202, Introduction to Operating Systems, Spring 2020
CSCE 4600.203, Introduction to Operating Systems, Spring 2020
CSCE 4600.204, Introduction to Operating Systems, Spring 2020
CSCE 4600.205, Introduction to Operating Systems, Spring 2020
CSCE 4600.206, Introduction to Operating Systems, Spring 2020
* 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 2100.201, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.202, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.203, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.204, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.205, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.206, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.207, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.208, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.209, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.210, Foundations of Computing, Fall 2019 SPOT
BIOL 5820.002, Computational Epidemiology, Spring 2019 SPOT
CSCE 5820.002, Computational Epidemiology, Spring 2019 SPOT
CSCE 5640.002, Operating System Design, Fall 2016 SPOT
CSCE 6350.021, Advanced Topics in Database Design, Summer 10W 2016 SPOT
CSCE 3110.001, Data Structures and Algorithms, Spring 2015 Syllabus
CSCE 1020.001, Program Development, Spring 2015 Syllabus
CSCE 1020.301, Program Development, Spring 2015
CSCE 1020.302, Program Development, Spring 2015
CSCE 1020.303, Program Development, Spring 2015
CSCE 1020.304, Program Development, Spring 2015
CSCE 1020.305, Program Development, Spring 2015
CSCE 1020.306, Program Development, Spring 2015
CSCE 1020.307, Program Development, Spring 2015
CSCE 1020.002, Program Development, Fall 2014 Syllabus
CSCE 1030.001, Computer Science I, Spring 2010
CSCE 1030.001, Computer Science I, Fall 2009
CSCE 1030.021, Computer Science I, Summer 10W 2009
CSCE 1030.301, Computer Science I, Summer 10W 2009
CSCE 1030.001, Computer Science I, Spring 2009
CSCE 1030.001, Computer Science I, Fall 2008
CSCE 1030.021, Computer Science I, Summer 10W 2008
CSCE 1030.301, Computer Science I, Summer 10W 2008
CSCE 1010.002, Introduction to Computer Science, Spring 2006
* 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