Syllabus for Human Perspective in Artificial Intelligence course of the Department of Computer Science and Engineering of the University of Puerto Rico at Mayaguez

1. University of Puerto Rico
Mayagüez Campus
College of Engineering
Department of
Bachelor of Science in Computer Science and Engineering
Bachelor of Science in Software Engineering
Course Syllabus
1. General Information:
Alpha-numeric codification: CIIC 5XXX
Course Title: Human Perspective in Artificial Intelligence
Number of credits: 3
Contact Period: 3 hours per week
2. Course Description:
English: Introduction to computing systems, associated functions, and requirements for
artificial intelligence systems characterized by cognitive-based architectures and
mechanisms. The course includes the study of core elements of the science of human
perception, thought, and behavior in the context of sensors, computing systems and
software.
Spanish:
Introducción a los sistemas informáticos, funciones asociadas y requisitos para sistemas
de inteligencia artificial caracterizados por arquitecturas y mecanismos basados en la
cognición. El curso incluye estudios sobre elementos básicos de la ciencia de percepción,
el pensamiento y el comportamiento humano en el contexto de sensores, sistemas
informáticos y de software.
3. Pre/Co-requisites and other requirements:
CIIC 3011 or authorization from Department Chair.
4. Course Objectives:
Students will develop a technical understanding of the interconnections and
interrelationships of computing systems for judgement, decision making, and artificial
intelligence (AI) with how humans think and behave. Students will learn (1) how to use
computing systems to better understand human thought, feelings, and behavior, and
(2) how to apply a modern understanding of how humans think, feel, and behave to
define and implement computing system structure, functions and requirements. Students
will appraise the human aspect limitations of current AI methods and identify
opportunities for next generation AI systems.
5. Instructional Strategies:
☒
conference ☐
discussion ☐computation ☐laboratory

2. ☐seminar with formal presentation ☐seminar without formal presentation ☐workshop
▢art workshop ▢practice ▢trip ▢thesis ▢special problems ▢tutoring
▢research ▢other, please specify:
6. Minimum or Required Resources Available:
Conference room with overhead projector and internet.
7. Course time frame and thematic outline
Outline Contact Hours
Introduction: Human Aspects and Computing Systems in AI 2
Synthetic Reality and Actual Occurrences 2
Sensing and Sensors: Touch, Sound, Sight, and Others 4
Digital and Analog Memories 3
Perception: Vision, Language, Smelling, Tasting, and Feeling 6
Emotions and Representations in Computing Systems 4
Quantifying Self and Actuation 4
External Agent Influences 5
Perspective Cycle Paradigm – Thinking & Being 6
Perspective Toolbox 3
Applications and Challenges of Human Perspective AI 3
Partial Exams 3
Total hours: (equivalent to contact period) 45
8. Grading System
☒ Quantifiable (letters) ▢ Not Quantifiable
9. Evaluation Strategies

3. Quantity Percent
☒ Exams 2-3 20-30%
☒ Final Exam 1 20-30%
☐ Short Quizzes
☐ Oral Reports
☐ Monographies
☐ Portfolio
☒ Projects: Report 1 15-30%
☐ Journals
☒ Other, specify: Homework 4-8 15-30%
TOTAL: 100%
10. Bibliography:
1. Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: a modern
approach. 3rd ed. Upper Saddle River, NJ: Prentice Hall.
2. OpenStax. (2017). Anatomy and Physiology. Rice University.
https://openstax.org/details/books/anatomy-and-physiology
3. Minsky, M. (2007). The emotion machine: Commonsense thinking, artificial
intelligence, and the future of the human mind. New York: Simon & Schuster.
4. Barrett, L. F. (2017). How emotions are made: The secret life of the brain.
5. A collection of internet sites as determined by the instructor.
11. According to Law 51
Students will identify themselves with the Institution and the instructor of the course for
purposes of assessment (exams) accommodations. For more information please call the
Student with Disabilities Office which is part of the Dean of Students office (Office #4)
at (787)265-3862 or (787)832-4040 extensions 3250 or 3258.