Faculty Profile

John Schroeder

Title
Adjunct Faculty
Department
ADA - Advanced Data Analytics
College
University of North Texas

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
MS, University of Nebraska-Lincoln, 1995. 
Major: Mathematics and Statistics
Degree Specialization: Applied Mathematics & Statistics (Pure)





          

        
                

          
Current Scheduled Teaching*


          
IPAC 4130.100, Data Analytics and Computational Statistics 1, Summer 2024 
ADTA 5130.400, Data Analytics I, Summer 2024 
IPAC 4130.400, Data Analytics and Computational Statistics 1, Spring 2024 Syllabus
ADTA 5130.400, Data Analytics I, Spring 2024 Syllabus
ADTA 5120.410, Introduction to Data Analytics, Spring 2024 Syllabus


          
*
  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*


            
                    

                    IPAC 4130.110, Data Analytics and Computational Statistics 1, Fall 8W2 2023 Syllabus SPOT
                    

                    ADTA 5130.110, Data Analytics I, Fall 8W2 2023 Syllabus SPOT
                    

                    IPAC 4130.110, Data Analytics and Computational Statistics 1, Spring 8W2 2023 Syllabus SPOT
                    

                    ADTA 5130.102, Data Analytics I, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5130.110, Data Analytics I, Spring 8W2 2023 Syllabus SPOT
                    

                    ADTA 5130.111, Data Analytics I, Spring 8W2 2023 Syllabus SPOT
                    

                    IPAC 4130.100, Data Analytics and Computational Statistics 1, Fall 8W1 2022 Syllabus SPOT
                    

                    ADTA 5130.100, Data Analytics I, Fall 8W1 2022 Syllabus SPOT
                    

                    IPAC 4130.110, Data Analytics and Computational Statistics 1, Spring 8W2 2022 Syllabus SPOT
                    

                    ADTA 5130.110, Data Analytics I, Spring 8W2 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.
  

        

      

    

  

  
  	

	

	  

		

		   	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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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