Faculty Profile

Martin O'Neill II

Title
Research Associate Professor
Department
Institute of Applied Science
College
College of Science
Research Associate Professor
Computer Science and Engineering
College of Engineering

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
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 4355.001, Database Administration, Fall 1 2019 Syllabus
CSCE 2100.001, Foundations of Computing, Fall 1 2019 Syllabus
CSCE 2100.201, Foundations of Computing, Fall 1 2019 
CSCE 2100.202, Foundations of Computing, Fall 1 2019 
CSCE 2100.203, Foundations of Computing, Fall 1 2019 
CSCE 2100.204, Foundations of Computing, Fall 1 2019 
CSCE 2100.205, Foundations of Computing, Fall 1 2019 
CSCE 2100.206, Foundations of Computing, Fall 1 2019 
CSCE 2100.207, Foundations of Computing, Fall 1 2019 
CSCE 2100.208, Foundations of Computing, Fall 1 2019 
CSCE 2100.209, Foundations of Computing, Fall 1 2019 
CSCE 2100.210, Foundations of Computing, Fall 1 2019 
CSCE 5215.600, Machine Learning, Fall 1 2019 


          
*
  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*


            
                    

                    BIOL 4820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
                    

                    BIOL 5820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
                    

                    CSCE 4820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
                    

                    CSCE 4820.201, Computational Epidemiology, Spring 2019 Syllabus SPOT
                    

                    CSCE 5820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
                    

                    CSCE 4355.001, Database Administration, Fall 2018 Syllabus SPOT
                    

                    CSCE 4355.001, Database Administration, Fall 2017 Syllabus 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 2016 Syllabus SPOT
                    

                    CSCE 4600.003, Introduction to Operating Systems, Spring 2016 Syllabus SPOT
                    

                    CSCE 3110.001, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
                    

                    CSCE 3110.002, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
                    

                    CSCE 3110.003, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
                    

                    CSCE 3110.004, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
                    

                    CSCE 3110.021, Data Structures and Algorithms, Summer 10W 2015 Syllabus 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
      • 
				
    
			
    • 
		

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