contact
 
 
           
    Syllabus is here. It includes information on required text books.      
           
    Grid syllabus is here.      
           
    A video preperation for the final exam is here.      
           
   

Note: There is no credit for late work because the exercises are about class participation. This includes the textbook quizzes

      
           
   

Note: The semester ends with the final examination.

     
           
   

Extra credit is addressed here. Please note that the most extra credit possible is less than 1/3 of a grade. Extra credit will only be counted in cases where students' final grades are right at the cutoff between 2 grades (then it may help to push up).

      
           
   

Contact the professor here. (jbrusseau@pace.edu)

      
           
    A note about online classes & holiday scheduling is here.      
           
           
    For help joining the Research Methods (Pajo book) part of the course, please visit Sage Vantage Technical Support.      
           
           
    Help for students using the Classes interface is provide by professionals at Pace University Information Technology Services (ITS), and at the Center for Teaching and Learning Technology.      
           
    Pace University’s LMS video tutorial is here.      
           
    Pace University web-based help for students using LMS is here.      
           
    Pace University human help through email for students using LMS is provided by Information Technology Services (ITS); it is here.      
           
    Pace University live human help for students using LMS is provided by Information Technology Services (ITS), at 914-773-3333.      
           
           
           
 
 
   
 

 

Review → Final Exam

 

 

 

 

Welcome to the final week and final exam review week! This week we have some optional lectures on AI ethics, and then two lectures which are posted to help you review for the final!

 

Finally, we also have our last chapter in the Research Methods textbook, and this work is required.

 

More info on the final exam is on the bottom of the page!

 

 

 

 

 

 

 

Lectures

 

In this lecture we explore the AI ethics of Safety. (Optional!)

 

 

 

 

In this lecture we explore the AI ethics of Performance. (Optional!)

 

 

 

 

 

In this lecture we review the AI ethics (Good preparation for the final exam!)

 

 

 

 

 

 

 

In this lecture we preview the final exam (Good preparation for the final exam!)

 

 

 

 

 

 

 

 

Deck Safety

 

 

 

 

Deck Performance

 

 

 

 

 

Deck Review

 

 

 

 

 

 

Research Methods (NOT optional)

Independent work on Pajo Book, Chapter 14. Presenting Your Research

Please read the chapter, respond to the various questions asked in the book, and then take the quiz at the end of the chapter. Remember, the quiz is graded!

 

 

 

 

     
 

Final Exam

 

We will take the exam next week during the class period. The exam will be available on the Classes webpage, in the Announcements area, at the start of class.

 

The test should take about 75 minute, but you have the entire class period (3 hours). The video above explains the test and gives tips!

 

You must return the exam by email by the end of the class period.

 

Please email the exam to: jbrusseau@pace.edu

 

Please return a Word doc, and not a PDF.

 

Please label your exam with your last name, for example: Brusseau-FinalCS312

 

We have had some excellent discussions, and I am looking forward to reading your work!

 

 

  
     

 

     
 

Exam Format

 

Exam format will be short answer and essay questions, concentrated on the ethics segment of the class.

 

The exam will have 5 short answer questions and 3 essays. Students will choose 4 of the short answers and respond for 5 points each. Students will choose 2 of the essays and respond for 40 points each.

 

The short answers will typically be questions asking you to provide definitions or quick summaries of class fundamentals. For example, "Define privacy and why it is important." The essays will be similar to the ethical dilemmas discussed throughout the semester. You will receive a dilemma. Then you will respond with the ethical tools developed in class.

 

 

  
     

 

 

 

 

 

 

 

 
   
 

 

 

Course Schedule

Week Topics Research Methods Textbook for Student Presentation Online Class Lecture for Student Presentation Online Class Discussion
Week 0
January 30 — Introduction
(No preparation required.)
  • Course planning
  • Review of the syllabus; Introduction; Overview of the course
 — —

Brusseau: Review of the syllabus; Introduction; Overview of the course

Brusseau video lecture: What is ethics? What is AI/Tech ethics?
Week 1
February 2 → 6
  • Research methods
  • Tech ethics
 Chapter 1 (Pajo): The purpose of research Brusseau video class lecture: What is ethics? What is AI/Tech ethics?

Student group 1: Teaches Pajo chapter to class (15 minutes)

Student group 2: Teaches Brusseau lecture to class, responds to lecture questions.

Week 2
February 9 → 13
  • Research methods
  • Tech ethics
 Chapter 2 (Pajo): Formulating a Research Question Brusseau video lecture: Autonomy (1 of 2)

Student group 3: Teaches Pajo chapter to class (15 minutes)

Student group 4: Teaches Brusseau lecture to class, responds to lecture questions.

Week 3
February 16 → 20
  • Research methods
  • Tech ethics
 Chapter 3 (Pajo): Researching and Writing the Literature Brusseau video lecture: Autonomy (2 of 2)

Student group 5: Teaches Pajo chapter to class (15 minutes)

Student group 6: Teaches Brusseau lecture to class, responds to lecture questions.

Week 4
February 23 → 27
  • Research methods
  • Tech ethics

Chapter 4 (Pajo): Quantitative Designs

Short article TBD

 Brusseau video lecture: Dignity

Student group 7: Teaches Pajo chapter to class (15 minutes)

Student group 8: Teaches Brusseau lecture to class, responds to lecture questions.

Week 5
March 2 → 6
  • Research methods
  • Tech ethics

Chapter 5 (Pajo): Measurement Errors, Reliability, Validity

Short article TBD

 Brusseau video lecture: Privacy (1 of 2)

Student group 9: Teaches Pajo chapter to class (15 minutes)

Student group 10: Teaches Brusseau lecture to class, responds to lecture questions.

Week 6
March 9 → 13
  • Research methods
  • Tech ethics

Chapter 6 (Pajo): Sampling

Short article TBD

 Brusseau video lecture: Privacy (2 of 2)

Student group 11: Teaches Pajo chapter to class (15 minutes)

Student group 12: Teaches Brusseau lecture to class, responds to lecture questions.

Week 7
March 16 → 27 (Holiday March 20)
  • Research methods
  • Tech ethics

Chapter 7 (Pajo): Data Collection for Quantitative Research

Short article TBD

 Brusseau video lecture: Using the Knowledge

Student group 13: Teaches Pajo chapter to class (15 minutes)

Student group 14: Teaches Brusseau lecture to class, responds to lecture questions.

Spring Break No class
Week 8
April 6 → 10
  • Research methods
  • Tech ethics

Chapter 8 (Pajo): Secondary Data

Short article TBD

 Brusseau video lecture: Fairness (1 of 2)

Student group 15: Teaches Pajo chapter to class (15 minutes)

Student group 16: Teaches Brusseau lecture to class, responds to lecture questions.

Week 9
April 13 → 17
  • Research methods
  • Tech ethics

Chapter 9 (Pajo): Entering and Organizing Quantitative Data

Short article TBD

 Brusseau video lecture: Fairness (2 of 2)

Student group 17: Teaches Pajo chapter to class (15 minutes)

Student group 18: Teaches Brusseau lecture to class, responds to lecture questions.

Week 10
April 20 → 24
  • Research methods
  • Tech ethics

Chapter 10 (Pajo): Analyzing Quantitative Data

Short article TBD

 Brusseau video lecture: Solidarity / Equity

Student group 19: Teaches Pajo chapter to class (15 minutes)

Student group 20: Teaches Brusseau lecture to class, responds to lecture questions.

Week 11
April 27 → May 1
  • Research methods
  • Tech ethics

Chapter 11 (Pajo): Qualitative Designs and Data Collection

Short article TBD

 Brusseau video lecture: Social wellbeing

Student group 21: Teaches Pajo chapter to class (15 minutes)

Student group 22: Teaches Brusseau lecture to class, responds to lecture questions.

Week 12
May 4 → 8
  • Research methods
  • Tech ethics

Chapter 12 (Pajo): Entering, Coding and Analyzing Qualitative Data

Chapter 13 (Pajo): Results and Discussion

 Brusseau video lecture: Accountability / Explainability

Student group 23: Teaches Pajo Chapter 12 to class (15 minutes)

Student group 25: Teaches Pajo Chapter 13 to class (15 minutes)

Student group 24: Teaches Brusseau lecture to class, responds to lecture questions.

Week 13
May 11 → 15
  • Research methods
  • Tech ethics
 Chapter 14 (Pajo): Presenting Your Research Brusseau video lectures: Safety (Optional) & Performance (Optional) & Review lecture

Final Written Exam

75 minutes

 

 
   
   
   
   
 
      _______________
     
© Ethics Workshop.