Faculty Profile

Rodney Nielsen

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

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of Colorado at Boulder, 2008. 
Major: Cognitive Science
PhD, University of Colorado at Boulder, 2008. 
Major: Computer Science
MS, University of Colorado at Boulder, 2005. 
Major: Computer Science
BA, Minot State University, 1986. 
Major: Mathematics
BS, Minot State University, 1986. 
Major: Computer Science





          

        
                

          
Current Scheduled Teaching*


          
CSCE 6950.912, Doctoral Dissertation, Spring 2021 
INFO 6950.714, Doctoral Dissertation, Spring 2021 
CSCE 5210.001, Fundamentals of Artificial Intelligence, Spring 2021 
CSCE 5210.008, Fundamentals of Artificial Intelligence, Spring 2021 
CSCE 6940.912, Individual Research, Spring 2021 
CSCE 4201.001, Introduction to Artificial Intelligence, Spring 2021 


          
*
  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 6950.812, Doctoral Dissertation, Fall 2020 
                    

                    INFO 6950.711, Doctoral Dissertation, Fall 2020 
                    

                    CSCE 6940.812, Individual Research, Fall 2020 
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Fall 2020  SPOT
                    

                    CSCE 5300.008, Introduction to Big Data and Data Science, Fall 2020 
                    

                    CSCE 5215.001, Machine Learning, Fall 2020  SPOT
                    

                    CSCE 5215.008, Machine Learning, Fall 2020 
                    

                    CSCE 5215.600, Machine Learning, Fall 2020  SPOT
                    

                    CSCE 6950.912, Doctoral Dissertation, Spring 2020 
                    

                    CSCE 6940.912, Individual Research, Spring 2020 
                    

                    CSCE 6940.912, Individual Research, Spring 8W2 2020 
                    

                    CSCE 4201.001, Introduction to Artificial Intelligence, Spring 2020 Syllabus
                    

                    INFO 6660.007, Readings in Information Science, Spring 2020 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2019 
                    

                    CSCE 6940.812, Individual Research, Fall 2019 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Fall 2019 
                    

                    CSCE 6940.812, Individual Research, Summer 10W 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Summer 10W 2019 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2019  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2019 
                    

                    CSCE 6940.812, Individual Research, Spring 2019 
                    

                    CSCE 6940.812, Individual Research, Spring 8W2 2019 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2019 Syllabus SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Spring 2019 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2018 
                    

                    CSCE 6940.812, Individual Research, Fall 2018 
                    

                    CSCE 5215.001, Machine Learning, Fall 2018  SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2018 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Fall 2018 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Fall 2018 Syllabus SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Summer 10W 2018 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2018 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2018  SPOT
                    

                    CSCE 5934.812, Directed Study, Spring 2018 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2018 
                    

                    CSCE 6940.812, Individual Research, Spring 2018 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2018 Syllabus SPOT
                    

                    CSCE 5300.501, Introduction to Big Data and Data Science, Spring 8W2 2018 
                    

                    CSCE 5215.501, Machine Learning, Spring 8W1 2018 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2018 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2017 
                    

                    CSCE 6940.812, Individual Research, Fall 2017 
                    

                    CSCE 5215.001, Machine Learning, Fall 2017  SPOT
                    

                    CSCE 5215.600, Machine Learning, Fall 2017  SPOT
                    

                    CSCE 5950.812, Master's Thesis, Fall 2017 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2017 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Fall 2017 Syllabus SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2017 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2017  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2017 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2017 Syllabus SPOT
                    

                    CSCE 5950.812, Master's Thesis, Spring 2017 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2017 
                    

                    CSCE 5934.812, Directed Study, Fall 2016 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2016 
                    

                    CSCE 6940.812, Individual Research, Fall 2016 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2016 
                    

                    CSCE 5933.001, Topics in Computer Science and Engineering, Fall 2016  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Summer 10W 2016 
                    

                    CSCE 6940.812, Individual Research, Summer 10W 2016 
                    

                    CSCE 5950.812, Master's Thesis, Summer 5W2 2016 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2016 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2016 
                    

                    CSCE 6940.812, Individual Research, Spring 2016 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2016 
                    

                    CSCE 4930.004, Topics in Computer Science and Engineering, Spring 2016 Syllabus SPOT
                    

                    CSCE 5380.001, Data Mining, Fall 2015  SPOT
                    

                    CSCE 5934.812, Directed Study, Fall 2015 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2015 
                    

                    CSCE 6940.812, Individual Research, Fall 2015 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2015 
                    

                    CSCE 4999.812, Senior Thesis, Fall 2015 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2015 
                    

                    CSCE 6290.001, Advanced Topics in Human/Machine Intelligence, Spring 2015 
                    

                    CSCE 5934.812, Directed Study, Spring 2015 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2015 
                    

                    CSCE 6940.812, Individual Research, Spring 2015 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2015 
                    

                    CSCE 6290.001, Advanced Topics in Human/Machine Intelligence, Fall 2014 
                    

                    CSCE 6940.812, Individual Research, Fall 2014 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2014 
                    

                    CSCE 5934.812, Directed Study, Summer 10W 2014 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2014 
                    

                    CSCE 5934.812, Directed Study, Spring 2014 
                    

                    CSCE 6940.812, Individual Research, Spring 2014 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2014 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2014 
                    

                    CSCE 6933.003, Advanced Topics in Computer Science and Engineering, Fall 2013 
                    

                    CSCE 1040.002, Computer Science II, Fall 2013 Syllabus
                    

                    CSCE 6940.812, Individual Research, Fall 2013 
                    

                    CSCE 6933.006, Advanced Topics in Computer Science and Engineering, Spring 2013 
                    

                    CSCE 4890.812, Directed Study, Spring 2013 
                    

                    CSCE 6940.812, Individual Research, Spring 2013 
                    

                    CSCE 5290.001, Natural Language Processing, Fall 2012 

          


          
*
  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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