This document provides the syllabus for the course "Human Perspective in Artificial Intelligence" offered at the University of Puerto Rico, Mayagüez Campus. The course introduces students to computing systems and artificial intelligence from a human perspective, covering topics like human senses, perception, emotions, and influences on perspective. It will be administered using the Moodle platform and Piazza discussion forum. Students will be evaluated based on exams, a project report, and homework assignments.
This document provides an introduction and overview of the "Intro to Design" module. It outlines the module objectives, which are to learn design principles and processes through lectures, tutorials, and self-directed study. Students will apply skills and principles to 2D and 3D design projects. The document details the module structure, learning outcomes, assessment components, attendance policy, and academic integrity guidelines. Key points covered include design investigations, applying design elements and principles, and developing visual and verbal communication skills.
This document provides information about the B V Raju Institute of Technology, including its vision, mission, program educational objectives, and program outcomes for the Computer Science and Engineering program.
The vision is to create competent engineers and managers with a sound background in ethics and social responsibilities. The mission is to provide a positive learning environment where students are inspired to strive for excellence and become leaders in a global society.
The program educational objectives are to 1) provide sufficient technical knowledge for students to make significant contributions to Computer Science and Engineering, 2) prepare graduates for professional careers in multidisciplinary environments, and 3) pursue lifelong learning.
The program outcomes include the ability to apply knowledge of math, science and engineering; design
The document describes a classroom observation of a lesson involving technology integration in the learning environment. It includes guides for observing how the teacher uses learning resources, students' responses, and the effectiveness of the resources. The observer is asked to analyze the lesson using a technology integration matrix and provide suggestions to improve resource use. Reflections on doing the same lesson differently and integrating theory with the observation are also prompted.
This document provides the syllabus for an English language course (ING0002) at a university. It outlines the following key details:
- The course is an A1 level English course requiring 144 total learning hours over 3 progress periods.
- Learning outcomes are focused on developing basic conversational skills.
- Evaluation includes computer-based exams, oral exams, unit tests, assignments, and class participation.
- The course uses a communicative approach and focuses on developing autonomy through a flipped classroom model.
- Each progress period covers 4 units focusing on different topics to practice the learning outcomes.
This document is a course manual for the ICA International Diploma in Governance, Risk and Compliance. It provides an introduction and overview of the course, including information on the course structure and units, assessment requirements, and support resources available to students. The manual guides students on how to make the most of their studies, including familiarizing themselves with course materials, planning their study schedule, and utilizing available tutor and administrative support. It aims to equip students with the knowledge and skills needed to successfully complete the program and demonstrate their understanding of governance, risk and compliance.
This document outlines the details of the ITC504 - Interface Usability subject, including:
- The subject coordinator and contact details
- An overview of what the subject covers, including interface design, evaluation, and usability principles
- The 6 learning outcomes students should achieve upon completion
- Assessment details including 4 assignments and pass requirements
- Required software and textbook
- A schedule of the 15 topics to be covered across the semester
- Expectations around student engagement with online materials and weekly classes
The Graduate Aptitude Test in Engineering (GATE) is an all-India examination administered by 8 zones across the country. GATE is used for admission to M.Tech programs in top institutions and is required for some PSU jobs. It contains 65 multiple choice and numerical answer questions testing comprehension, application, analysis and synthesis abilities. Candidates are advised to thoroughly study previous year papers and focus on both strong and weak topics over 6 months of preparation.
This document summarizes a course on fundamentals of epidemiology. It provides details on the instructors, course description, competencies, objectives, evaluation criteria, textbook, schedule, assignments and policies. The introductory epidemiology course covers key concepts and methods, including study designs, measures of disease occurrence and association, bias, confounding and analysis of epidemiologic data. Students are evaluated based on homework, exams, group project and participation. The course aims to describe epidemiology methods and applications in public health.
K to 12 mechanical drafting teacher's guideNoel Tan
This document provides guidance for teachers on teaching the Exploratory Course on Mechanical Drafting as part of the K to 12 Technology and Livelihood Education curriculum in the Philippines. It includes background information on the overall goals of the K to 12 curriculum and the conceptual framework for teaching TLE courses. It also provides details on the learning modules and lessons, which are designed to teach the basic competencies required for the exploratory courses based on the Training Regulations from the Technical Education and Skills Development Authority. The document describes the parts of each lesson and provides guidance for teachers on preparing and implementing the lessons.
This document outlines the requirements for Field Study Episode 6, which involves evaluating electronic resources for instructional use. The learning outcomes are to evaluate electronic resources and be rated on observation documentation, analysis depth and clarity, reflection depth and clarity, and portfolio organization and timeliness. It provides guidance on exploring electronic resources by observing a class, finding online materials on the topic, evaluating 5 sites/programs, and reflecting on the experience and skills developed. Criteria for evaluating resources include accuracy, appropriateness, clarity, completeness, motivation, and organization.
The document provides details of an instructional design project for a training workshop on using social networking tools for teachers. It includes an analysis of the learning context and learners, goals and objectives, task analysis, and assessment plan. The learner analysis found that most teachers are experienced computer users but novice social media users who prefer hands-on learning. The goal is for teachers to learn how to use social networking sites for educational purposes. A series of assessments include partner, group, and individual activities using Facebook over several weeks following the training.
This document provides information about the Chronic Disease Epidemiology course offered in the spring of 2017 as part of the Executive Master of Public Health program. The course will focus on the distribution and determinants of chronic diseases in populations. It will be taught by Dr. William McClellan and will include 2 credits, online learning sessions as well as 4 on-campus class sessions. Students will be evaluated based on critiques, study questions, and an in-class presentation. The course aims to help students describe important public health problems and apply epidemiological data and literature to chronic disease issues.
This document outlines the course policies, schedule, assignments, and grading for CMAT 465 Communication and Technology taught by Dr. Vinita Agarwal in Spring 2015. The course will meet on Tuesdays and Thursdays from 9:30-10:45AM in room TETC 110B. There are six main assignments including daily tweets, a weekly blog, an in-class technology presentation with a partner, two exams, daily lab work and readings, and a final portfolio project. Grades are calculated on a percentage basis and are comprised of these six assignments. Important semester dates are also provided such as exam dates, add/drop dates, and the last day of class.
This document is a teacher's guide for teaching the exploratory course on Computer Hardware Servicing as part of the Technology and Livelihood Education (TLE) curriculum in the Philippines. It provides background information on TLE and the K to 12 curriculum, an overview of the TLE exploratory courses and learning modules, and guidance for teachers on using the learning modules which include learning outcomes, lesson components, teaching strategies, and assessing student understanding. The overall goal is to prepare students for technical vocational careers by developing their skills and knowledge in specific TLE areas based on industry standards.
This 3 credit hour course titled "Technology for Teachers" meets on Tuesdays and Thursdays from 2:30-3:45pm in room NKM 117. The course focuses on helping future teachers learn how to integrate instructional technology into K-12 classrooms. Students will study software programs, presentation tools, and telecommunication tools, as well as social, ethical, and legal issues related to technology use. The course involves various projects using technological tools. Grades are based 80% on assignment projects and 20% on a comprehensive final exam. The syllabus outlines course objectives, policies on attendance, late work, and other relevant information.
This document provides the curriculum guide for an exploratory course on Mechanical Drafting for K to 12 in the Philippines. It outlines 4 lessons that cover key topics including drafting materials and tools, measurement, interpreting drawings, and safety practices. The guide defines the content and performance standards, learning competencies, example projects and activities, and assessment methods for each lesson. The lessons are designed to teach students about drafting fundamentals and safety in 40 total hours through hands-on activities, demonstrations, tests, and other assessments.
This document provides information about an English language module called English 1. The module aims to prepare students for tertiary studies by developing their academic writing, reading, listening, and speaking skills. It will focus on 5-paragraph essay writing, referencing, analyzing texts, extracting information from diagrams, listening to conversations, and oral presentations. The module will be delivered over 18 weeks through lectures, tutorials, and self-study. It is assessed through various assignments and aims to help students achieve English language proficiency for university-level work.
This complete outline of Res 1-Methods of Research indents to give an overview of the course for the whole semester with 54 hours equal to 3 units credit. Lessons are excluded in this outline and will be presented per meeting of 1.5 hours twice a week meeting.
This document provides the syllabus for an undergraduate research course at the University of Puerto Rico, Mayagüez Campus. The course involves students conducting individual research projects under the supervision of Professor José L. Meléndez. Students will define their research topics, conduct activities like software development or literature reviews, and produce a final project report and presentation. The course will use Moodle and Piazza for administration and communication. Students will be evaluated based on a project proposal, final report, oral presentation, and weekly updates. Attendance at meetings is mandatory. The syllabus outlines expectations, policies on academic integrity and accommodations, and notes that the content is subject to change.
This document provides an introduction and overview of the "Intro to Design" module. It outlines the module objectives, which are to learn design principles and processes through lectures, tutorials, and self-directed study. Students will apply skills and principles to 2D and 3D design projects. The document details the module structure, learning outcomes, assessment components, attendance policy, and academic integrity guidelines. Key points covered include design investigations, applying design elements and principles, and developing visual and verbal communication skills.
This document provides an introduction to the Intro to Design module conducted at Taylor's University. It outlines the module objectives, which are to learn design principles and processes through investigations and projects. Students will develop 2D and 3D design skills. The module will be delivered through lectures, tutorials, and self-directed study over 18 weeks. Students will be assessed through individual and group projects applying design elements and principles, as well as a portfolio. Attendance is compulsory, and the document outlines rules around submissions, plagiarism, and grading. The module uses student-centered learning and provides formative and summative feedback to students.
This course is designed to empower students with a deep understanding of Artificial Intelligence (AI), focusing on critical evaluation, communication, collaboration, and practical application in various contexts. 🤖✨
What to Expect:
Comprehensive exploration of AI fundamentals, including machine learning, NLP, computer vision, and more.
Insightful case studies on AI's role in enhancing learning, addressing ethical considerations, and navigating societal impacts.
Hands-on experience with generative AI tools like ChatGPT to support and enrich your learning journey.
Engaging assignments that blend theory with practical application, including critical reviews, lab sessions, and a research paper centered around the AI Identity Framework.
Learning Outcomes:
A solid grasp of AI concepts and their educational applications.
Critical thinking skills to evaluate AI's benefits and limitations in learning environments.
Insight into the ethical, social, and policy dimensions of AI technology.
Practical experience with AI tools to enhance personal and academic growth.
Join us for a transformative learning experience where we'll delve into the heart of AI technology and its implications for the future of education and beyond. Whether you're aiming to deepen your understanding of AI or explore innovative ways to integrate AI tools into learning and professional settings, this course offers a unique and comprehensive platform to achieve those goals.
This document provides an overview of an instructional module for a Computer 101 course at a community college. The hybrid course meets twice a week in a computer lab and once a week in a regular classroom, and also has some online components. The goal of the course is for students to learn skills for creating an interactive blog that can be used for educational purposes. Throughout the course, students will watch videos, take quizzes, and complete individual and group projects focused on designing their own educational blogs using various technological resources and features. Formative assessments include interactive tests and quizzes, as well as a final individual project where students create and present their own educational blogs.
This document provides information about a robotics course taught by Mr. Joslin at New Hampton School. The course covers three competencies: design, programming, and process. Students will learn to design and build robots using mechanical components like gears and motors. They will program robots using a visual programming language. The course involves individual and group projects where students design, build, program and test robots. It is a self-paced course where students progress through instructional videos, exercises and projects at their own speed within unit deadlines. Assessment is competency-based. The final project involves students working in teams to independently design, build and program a robot to complete a challenge of their choosing.
B sc(hons)(arch) design communications arc 1713 outline 2015Arvindhan Balasingam
This document provides information about a Design Communication module offered at the School of Architecture, Building & Design. The 6-credit, 14-week module introduces fundamental skills for communicating architectural design through drawings, modeling, and other visualization techniques. Students will learn to describe different types of design communication, illustrate spaces through freehand drawing, analyze visual information using 2D and 3D technical drawings and models, and produce architectural ideas using various media. The module aims to prepare students with design communication skills required for subsequent design projects. It will be delivered through lectures, tutorials, and self-study involving workshops and assignments.
B sc (hons)(arch) computer applications csc60503 mar 2015Anthony Chew
This document outlines a module on computer applications that will teach students how to use 3D modeling software like 3DS Max and Rhinoceros to design architectural visualizations, produce photorealistic renderings, and create animations of architectural designs. Students will complete three projects applying the software and be assessed based on modeling skills, rendering quality, and animation production, with the overall goal of developing technical skills in architectural visualization tools.
This document provides information about a CIS 170 Introduction to Computer Information Systems course at Valley City State University. The course will introduce students to basic computer concepts like file management, software applications, computer ethics, and Microsoft Office programs. Students will learn to use Word, PowerPoint, and Excel through completing assignments. The final project will incorporate work from individual units into a comprehensive project to demonstrate skills learned throughout the course. The course aims to help students advance their technology knowledge and abilities.
This document provides information about the Architecture Design Studio 1 module taken in March 2014. The module is a 5-credit introduction to architectural design focused on the theme of "Body and Space". Over 14 weeks, students will complete projects emphasizing subjective and objective design parameters, including designing an object expressing the self, a confined living space, and an individual dream space. Assessment includes individual and group projects, with the largest weight (60%) on the final project. The goal is for students to understand architecture as both an artistic and practical discipline centered around the user.
This document provides the syllabus for an undergraduate research course at the University of Puerto Rico Mayagüez Campus. The course involves students conducting a research project under the supervision of Professor José L. Meléndez. Students will define their research topic, conduct activities like software development or literature reviews, and produce a final report and presentation. The course will use Moodle and Piazza for administration and communication. Students will be evaluated based on a project proposal, final report, presentation, and weekly updates. Attendance is mandatory for all scheduled meetings.
This document provides information about a 5-credit hour module on basic accounting taught over 18 weeks. The module aims to develop students' understanding of accounting concepts like balance sheets, income statements, and financial ratio analysis. It will be taught through lectures, tutorials, and self-directed study. Assessment includes a class test, group assignment, final exam, and individual e-portfolio. The module schedule outlines weekly topics and aims to provide students with foundational accounting knowledge and skills.
This document provides information on the Principles of Economics module offered at Taylor's University, including an overview, objectives, learning outcomes, modes of delivery, assessment details, and policies. The 5-credit hour module introduces key microeconomic and macroeconomic concepts through lectures, tutorials, and self-study. Assessment includes participation, assignments, and a final exam. Students will learn to define economic terminology, analyze market forces, and explain concepts like GDP and unemployment.
Ecn30205 course outline january 2015 semesterdanielsong15
This document provides information about the Principles of Economics module offered at Taylor's University, including an overview, objectives, learning outcomes, modes of delivery, assessment details, and policies. The 5-credit hour module introduces key concepts in microeconomics and macroeconomics through lectures, tutorials, and self-study. Students will learn theories and apply them to understand economic behavior, markets, and national economies. Assessment includes participation, assignments, and a final exam. Policies address late submission, attendance, and a prohibition against plagiarism.
Sociology SOCI332Statistics for Social ScienceCredit Ho.docxbryanwest16882
Sociology
SOCI332
Statistics for Social Science
Credit Hours 3
Length of Course 8 Weeks
Table of Contents
Course Description
Evaluation Procedures
Course Scope
Grading Scale
Course Objectives
Course Outline
Course Delivery Method
Policies
Course Materials
Academic Services
Course Description (Catalog)
This course is designed to provide a basic survey of the application, empirical use and interpretation of a variety of statistics methods used in the social sciences. A key objective of the course is the instruction in best statistical practice through the use, exploration and analysis of empirical data. Emphasis will be placed on understanding and interpreting the meaning of statistics. The practical aspects of statistics are emphasized and students are instructed in the use of the standard statistical package for the social sciences (SPSS) which is widely used in the social sciences and the in labor force. This course is part of a series including SOCI 331 Research Methods for the Social Sciences and SOCI 332 Statistics for the Social Sciences.
Course Scope
The student will develop an ability to use sociological concepts, theory, and research to think critically and act intelligently in interactions with (and observations of) individuals, groups, institutions, and societies.
Course Objectives
Upon completion of this course students will be able to:
CO1- Describe and apply the concepts and logic of elementary statistics.
CO2- Conduct statistical analysis in SPSS (Statistical Package for the Social Sciences).
CO3- Compare and contrast different types of data and the statistics that can be used to analyze them
CO4- Examine the differences between descriptive and inferential statistics and their use in the social sciences.
CO5- Form critical interpretations of quantitative research literature in sociology and other social sciences.
CO6- Complete and interpret descriptive and inferential statistical data analysis
CO7- Develop a research project from conceptualizing a research problem and develop a number of complementary design, measurement, and data collection approaches to bring evidence to bear on the problem.
CO8- Critically evaluate the quality of research design and evidence in published social research.
ADDITIONAL RESOURCES:
General Social Survey Dataset
SPSS Software
SOFTWARE REQUIREMENTS:
-
SPSS (more details under Welcome Announcements in the Sakai classroom)
-
Microsoft Office Applications- Word, Power Point (these can be downloaded free of charge from your student email account)
-
Screencast-o-matic or similar program
Evaluation Procedures
Forums:
Participation in classroom dialogue on threaded Forums is required. Forums are scheduled weekly and found in the Forums tab in the classroom. Specific instructions and the grading rubric are located on each Forum.
Assignments
This course includes three Assignments. Instructions and specific grading rubrics are found under the Assignments tab in o.
This document provides the syllabus for a course on strategic perspectives on project management. The course will introduce students to a new concept called Value Project Management, which uses frameworks developed by Stevens faculty to manage projects strategically. Students will learn about the limitations of traditional project management and how to define a project strategy to maximize value for stakeholders. The course will include lectures, case studies, discussions and individual assignments such as homework questions and a final project to develop a project value statement. Students will be evaluated based on their participation, homework, exam, and final project.
Vermette Uf 300 syllabus hybrid fall 2013lindavermette
This document provides information about a course called UF 300 Transitional Foundations at Boise State University. The course is designed for students who have an associate's degree or have completed some foundational courses. It focuses on developing 21st century skills like critical thinking, communication, collaboration and creativity.
Some key learning activities include a technology presentation about students' intended careers, a presentation on a global issue like women's rights, an ethics reflection paper, goal setting, and developing an electronic portfolio. Students are expected to participate in weekly discussions, complete assignments, and pass a syllabus quiz for the course. Required readings include the book Half the Sky about women's issues in developing countries, and a book on professional skills.
This course covers biometric usability testing with a focus on border control and mobile devices. The course objectives are to understand biometric systems, how people use them, testing methodologies, limitations, and research methods. Topics include genuine users, usability, attacks, border security, tokens, qualitative/quantitative research, and focus groups. Students will complete a research-based group project, assignments, and quizzes. The course uses lectures, discussions, guest speakers and students are expected to regularly attend and complete all work.
Acc30205 new course outline jan 2015 semesterQuo Ming
This document provides information about a 5-credit hour module on basic accounting taught over 18 weeks. The module aims to develop students' understanding of accounting concepts like balance sheets, income statements, and financial ratio analysis. It will be taught through lectures, tutorials, and self-directed study. Assessment includes a class test, group assignment, individual final exam, and e-portfolio. The module schedule lists weekly topics covering introduction to accounting, bookkeeping, balance sheets, adjustments, and business forms over 19 weeks.
Hpai class 26 - human perspective -052020Jose Melendez
This document summarizes a class on human perspective in artificial intelligence taught by Professor José Meléndez. The class covered topics like communication, the Johari window model for self-awareness, limitations of communication, and the perspective response process. It discussed automated versus deliberate responses and how perspective can be implemented in AI through conceptual programming and motivation to minimize prediction error while developing appropriate social concepts. The document ends with a discussion on perspective in AI and closing thoughts from the professor.
Hpai class 25 - emotions in ai and self -051820Jose Melendez
This document discusses a class on human perspective in artificial intelligence. It covers several topics:
1. Emotions in decision making research and how emotions can influence decisions in both helpful and biased ways.
2. How emotions could be incorporated into artificial intelligence systems, including recognizing emotions in others, expressing emotions, and studying neuroscience.
3. A framework is proposed for AI emotion research focused on recognition, expression, and neuroscience-inspired computing without direct access to internal experiences.
4. The class discusses modeling perspective and the self through a society of mind approach with distributed, semi-autonomous agents rather than a single centralized self.
The document outlines a class on human perspective in artificial intelligence, including discussions on language, its building blocks and characteristics, how human language can be ambiguous and confusing, and experiments with word association tests. The professor announces upcoming class topics like language, its building blocks, how human language is ambiguous, and word association, as well as sharing links, assignment due dates and exam schedules.
This document contains the slides and transcript from a lecture on human perception in artificial intelligence. It discusses various visual illusions and effects, like the Ganzfeld effect, Purkinje effect, and color spreading illusions. It also explores how context and concepts can influence visual perception. Regarding sound perception, it examines the influence of visual stimuli on auditory perception, like the illusion of hearing a thud when shown an image of a jumping tower. The lecture emphasizes that perception involves interpreting sensory inputs based on experience, and that beliefs and knowledge impact what we perceive versus what is objectively sensed.
This document contains the notes from a class on human perspective in artificial intelligence. It includes announcements about upcoming zoom meetings, required reading assignments on emotions and the brain, and topics to be covered in upcoming classes such as artificial vs human memory, the structure and types of brain cells, and DNA encoding. Slides and links are provided on topics like neurons, glial cells, astrocytes, the action potential process in neurons, and characteristics of genes and DNA.
This document contains the agenda and notes for a class on human perspective in artificial intelligence. It announces that there will be no class on a certain Friday and provides the zoom links for future classes in March. It lists the required reading and outlines the upcoming topics which include a comparison of artificial and human memory, a discussion of human memory, and an exploration of the brain's neurons and glia. Notes from a round table discussion on functional descriptions of human memory are summarized, covering the types, attributes, and content of human memory.
This document discusses human perspective in artificial intelligence and covers several topics relating to memory, both artificial and human. It begins with an introduction to pattern recognition in AI and references a 1968 paper on the subject. It then lists required reading materials on analog memory devices, neural networks, and special purpose parallel analog neural networks. The document goes on to discuss digital computer memory, including different types like ROM, cache and CPU cache. It also covers analog electronics and uses the example of an electrocardiogram to illustrate analog signals. The document concludes by discussing properties of human memory and upcoming topics for homework, including a discussion on neurons and glia in the brain.
This document provides an overview of a class on Human Perspective in Artificial Intelligence taught by Professor José Meléndez. It outlines topics to be covered, including required readings on how the brain hallucinates conscious reality and Google Colaboratory. It discusses an exam debrief, upcoming homework assignments on influence tactics, project ideas, and touch sensing both externally and internally. Key topics covered are the relationship between touch and emotions, interoception as sensing the internal state of the body, different types of touch receptors, and the nervous system including sensory and motor neurons.
This document discusses touch and interoception (internal sensing). It begins by comparing the senses of eyes/ears and taste/smell. It then discusses upcoming exam topics like artificial intelligence limitations and decision making models. The document covers types of touch receptors and how touch relates to emotions. It discusses interoception as sensing the internal state of the body and types of touch receptors. It concludes with an upcoming exam reminder and potential exam topics.
This document provides an overview of a class on human perspective in artificial intelligence. It includes:
- Details on an upcoming reading assignment and exam dates.
- A summary of previous class topics covering the types of energies that make up reality and how human senses detect a small portion of it.
- Observations comparing sight and hearing, noting both involve physical organs that output electrical signals for brain processing within detectable ranges and frequencies.
- Discussions of how taste and smell sensing works through receptors on the tongue/nose interacting with molecules to create electrical signals for the brain.
- Links to videos and articles exploring taste/smell receptors and testing, with notes on the specificity and diversity of receptors involved.
This document provides an overview of human versus artificial sight. It discusses how the human eye works, including how light is collected and converted into electrical signals via rods and cones. It also covers the eye's color sensitivity and resolution capabilities. For artificial sight, it describes how digital camera sensors use arrays of photodiodes to detect light and form images, similar to the eye's rods and cones. It gives examples of applications of artificial intelligence for image analysis tasks like classification. In summary, it compares the biological mechanisms of human vision to computer vision technologies.
The document discusses human and artificial sensing capabilities. It begins by describing how the human ear detects sound through the outer, middle and inner ear, which transform vibrations into electrical signals in the cochlea. It then compares the human range of hearing to other animals, noting we are most sensitive to frequencies relevant to speech. Examples are given of microphones and cochlear implants that transform sound vibrations or waves into electrical signals analogous to biological hearing. Applications of artificial intelligence in audio analysis are also briefly outlined.
This document provides an overview of human senses and perception from an artificial intelligence perspective. It discusses how human senses like sight, sound, touch, taste and smell work and their limitations. It also compares human senses to those of other animals, noting some animals can sense things like magnetism, infrared radiation or ultra-sounds that humans cannot. The document emphasizes that our perceptions are shaped by our sensory abilities, and discusses how sensing might differ for an artificial system versus biological senses.
This document discusses the concepts of reality, augmented reality, and virtual reality. It begins by defining augmented reality as a live view of the real world with computer-generated information added. Virtual reality is described as an artificial, computer-generated environment that users accept as real. The origins of virtual reality are traced back to Ivan Sutherland's 1965 Sword of Damocles system. Reality is explored from philosophical perspectives, and it is noted that our perception of reality through limited senses means reality is constructed in the mind. The document examines whether reality can truly be observed independently of observation.
This document discusses a class on human perspective in artificial intelligence. Some key topics covered include:
- Influence tactics and how awareness of them can change interactions with others.
- Models of decision making, including classical decision making and heuristics/biases that impact real-world judgments under uncertainty.
- Defining artificial general intelligence and different approaches to achieving it, including cognitive architectures.
- Models of intelligence like rational choice models and models of visual intelligence.
- Principles of synthetic intelligence driven by needs like existence preservation and affiliation.
- Open questions around what constitutes human intelligence and if artificial general intelligence can be engineered to achieve wisdom.
This document provides an overview of topics to be covered in a course on human perspectives in artificial intelligence, including:
- A primary textbook on emotion that will be provided to students.
- Required readings on common characteristics of scientific models and influence tactics.
- Upcoming topics such as what is intelligence, current limitations of AI, modeling, and decision making.
- Discussions of Sophia the robot, including its design goals, rules-based behavior, and limitations in emulating human-level intelligence.
- Observations that current AI cannot replicate human intelligence, which involves building and using internal models to simulate the world, predict outcomes, and learn from experiences.
- The goal of artificial
This document provides an overview of a course on Human Perspective in Artificial Intelligence taught by Professor José Meléndez. It includes information on attendance policies, grading, assignments, project details, topics to be covered in the course, textbook and other required readings. The course aims to understand how to model human aspects in computing systems using modern understandings of human intelligence, emotions, decision making and more. It will examine the human aspects and limitations of current AI methods and how to develop next generation AI systems.
How to Configure Time Off Types in Odoo 17Celine George
Now we can take look into how to configure time off types in odoo 17 through this slide. Time-off types are used to grant or request different types of leave. Only then the authorities will have a clear view or a clear understanding of what kind of leave the employee is taking.
The Value of Time ~ A Story to Ponder On (Eng. & Chi.).pptxOH TEIK BIN
A PowerPoint presentation on the importance of time management based on a meaningful story to ponder on. The texts are in English and Chinese.
For the Video (texts in English and Chinese) with audio narration and explanation in English, please check out the Link:
https://www.youtube.com/watch?v=lUtjLnxEBKo
Beyond the Advance Presentation for By the Book 9John Rodzvilla
In June 2020, L.L. McKinney, a Black author of young adult novels, began the #publishingpaidme hashtag to create a discussion on how the publishing industry treats Black authors: “what they’re paid. What the marketing is. How the books are treated. How one Black book not reaching its parameters casts a shadow on all Black books and all Black authors, and that’s not the same for our white counterparts.” (Grady 2020) McKinney’s call resulted in an online discussion across 65,000 tweets between authors of all races and the creation of a Google spreadsheet that collected information on over 2,000 titles.
While the conversation was originally meant to discuss the ethical value of book publishing, it became an economic assessment by authors of how publishers treated authors of color and women authors without a full analysis of the data collected. This paper would present the data collected from relevant tweets and the Google database to show not only the range of advances among participating authors split out by their race, gender, sexual orientation and the genre of their work, but also the publishers’ treatment of their titles in terms of deal announcements and pre-pub attention in industry publications. The paper is based on a multi-year project of cleaning and evaluating the collected data to assess what it reveals about the habits and strategies of American publishers in acquiring and promoting titles from a diverse group of authors across the literary, non-fiction, children’s, mystery, romance, and SFF genres.
How to Store Data on the Odoo 17 WebsiteCeline George
Here we are going to discuss how to store data in Odoo 17 Website.
It includes defining a model with few fields in it. Add demo data into the model using data directory. Also using a controller, pass the values into the template while rendering it and display the values in the website.
No, it's not a robot: prompt writing for investigative journalismPaul Bradshaw
How to use generative AI tools like ChatGPT and Gemini to generate story ideas for investigations, identify potential sources, and help with coding and writing.
A talk from the Centre for Investigative Journalism Summer School, July 2024
Still I Rise by Maya Angelou
-Table of Contents
● Questions to be Addressed
● Introduction
● About the Author
● Analysis
● Key Literary Devices Used in the Poem
1. Simile
2. Metaphor
3. Repetition
4. Rhetorical Question
5. Structure and Form
6. Imagery
7. Symbolism
● Conclusion
● References
-Questions to be Addressed
1. How does the meaning of the poem evolve as we progress through each stanza?
2. How do similes and metaphors enhance the imagery in "Still I Rise"?
3. What effect does the repetition of certain phrases have on the overall tone of the poem?
4. How does Maya Angelou use symbolism to convey her message of resilience and empowerment?
Understanding and Interpreting Teachers’ TPACK for Teaching Multimodalities i...Neny Isharyanti
Presented as a plenary session in iTELL 2024 in Salatiga on 4 July 2024.
The plenary focuses on understanding and intepreting relevant TPACK competence for teachers to be adept in teaching multimodality in the digital age. It juxtaposes the results of research on multimodality with its contextual implementation in the teaching of English subject in the Indonesian Emancipated Curriculum.
Slide Presentation from a Doctoral Virtual Open House presented on June 30, 2024 by staff and faculty of Capitol Technology University
Covers degrees offered, program details, tuition, financial aid and the application process.
The membership Module in the Odoo 17 ERPCeline George
Some business organizations give membership to their customers to ensure the long term relationship with those customers. If the customer is a member of the business then they get special offers and other benefits. The membership module in odoo 17 is helpful to manage everything related to the membership of multiple customers.
Join educators from the US and worldwide at this year’s conference, themed “Strategies for Proficiency & Acquisition,” to learn from top experts in world language teaching.
1. University of Puerto Rico
Mayagüez Campus
College of Engineering
Departments of
Computer Science and Engineering
Software Engineering
CIIC 5995/ICOM 5995: Human Perspective in Artificial Intelligence
Second Semester 2018-2019
Syllabus of the Course
Profesor:
José L. Meléndez, PhD
Office Hours: MW 1:47-2:49PM (excluding holidays) or by appointment
Office: S-701
Email: jose.melendez37@upr.edu
Introduction
This course is an 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.
Objectives
Students will develop a technical understanding of the interconnections and
interrelationships of computing systems for judgment, 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,
(2) how to apply a modern understanding of how humans think, feel, and behave to
define and implement computing system structure, functions and requirements.
(3) how to appraise human aspect limitations of current AI methods and identify
opportunities for next generation AI systems
Administration of the course applying Moodle
During the semester we will be using Moodle for the
administration of the course. We will be publishing materials for
the classes in the format of presentations and videos. In addition,
we will be using Moodle to take exams, record grades,
administer homework and take attendance. Access the course on
Moodle through the following QR code:
2. Piazza.com
During this semester we will be using the Piazza platform as the
main mechanism to communicate between the members of the
course. Piazza is a discussion forum in which the questions and
discussions of the class are held during the semester so that we
can all benefit from the information that is exchanged among the
students and the professor. Access the Piazza course platform
through the following QR code::
Expectations for the class
1. Be on Time (seated and ready to learn)
2. Be and Stay Present (physically and mentally so you won't miss surprises)
3. Be Respectful (don't do anything that may interfere with someone else's opportunity to
learn - like talking during class, or not paying attention).
Attendance and Participation in Class
This course is face-to-face and during the course the professor will be presenting his
presentations. At the discretion of the professor, up to 25% of the classes may be given
on line as need. (See Certification 16-43 below for applicable UPRM policy). In cases
where a face-to-face class session is to be offered online instead, an announcement will
be made in Piazza and/or in a prior class. Attendance to classes, as well as exams (as
established by your class program) is mandatory. Attendance will be verified at the
beginning of each class using the list of students. Anyone who arrives at the class after
having completed that initial verification must sign the sheet located on the instructor’s
desk, in which case they will be granted a tardy, instead of an absence. However, every
two tardies are counted as an absence. Finally, if you have 7 (seven) or more registered
absences during the semester, without a valid reason that can be corroborated, your grade
in the course will be F automatically. If you have to leave the room for the duration of
the class session, you must then notify your reason (without having to go into details) at
the end of the class. Otherwise, the exit will be counted as an absence. At the end of the
class you can read the list of those who have signed to corroborate their presence. If you
have to absent yourself from a class for serious reasons, you will have to show evidence
during office hours so that the absence is not counted. Under no circumstances will it be
accepted as a valid excuse that you are absent to any session of our classes or exam for
having to take an exam (or any activity of that kind) of any other class at any time that
matches those assigned to this course. Note that knowledge of the content and teachings
of the class sessions is necessary to perform well on the homeworks and exams.
3. Evaluation
The evaluation in this course consists of exams, a project and homework assignments to
deliver. The final grade obtained by the student will be based on their performance in the
different evaluation activities. In each activity the student obtains a final score of 0 to
100. Each of these final scores per activity is used to calculate the final average by
applying the weight shown in the following table. Late homework will receive a zero (0).
Quantity Percent
Exams 2 20%
Final Exam 1 25%
Projects: Report 1 25%
Homework 7 30%
TOTAL: 100%
Final Curve
Your final grade will be calculated based on the final average, applying the following
curve:
Final Percent Grade
[90-100] A
[80-90) B
[70-80) C
[60-70) D
[0-60) F
Partial Exams
In this course two partial exams and a final exam will be offered, portions of the exams
may make use of the Moodle system and be available as take home outside of class
hours. The scheduled dates for the partial exams are detailed in the following table:
Test Date (Subject to change if
necessary)
Room
1 Monday, February 25, 2019 S-114
2 Monday, April 1, 2019 S-114
4. Project: Human Perspective in Artificial Intelligence
Project Report Proposal Abstract Due Date: Wednesday, March 20, 2019
Early Due Date: Wednesday, April 24, 2019
Final Due Date: Monday, April 29, 2019
In this course, students will propose a specific topic for their Project Report that must be
approved by the Instructor. Each student must submit an abstract of their proposed
Project Report by the Project Report Proposal Abstract Due Date. Several topics related
to Human Perspective in AI must relate to the developed project. It is important to
emphasize that the Project Report must be submitted on time, on or before the date
established. Project Reports submitted after the Final Due Date will not be evaluated and
will receive a zero. As such students are encouraged to submit their Project Reports well
in advance of the Final Due Date. Students who submit their Project Reports on or before
the Early Due Date will receive a 100 if their actual grade for the Project Report is 90 or
above. Students who submit their Project Reports on or before the Early Due Date and
whose actual grade for the Project Report is below 90, will receive 10 additional points.
If approved by instructor, project reports may include software demonstrations resulting
in reduced written report requirements.
Homework
Homework is an important component of this course, they are an extension of the class
discussion, application of your understanding of the concepts and models you have seen
and the ones that you are going to develop. Dates subject to change as needed.
Homework Tenative Due Dates
#1 Monday, January 28, 2019
#2 Wednesday, February 6, 2019
#3 Wednesday, February 20, 2019
#4 Wednesday, March 6, 2019
#5 Monday, March 18, 2019
#6 Wednesday, March 27, 2019
#7 Wednesday, April 10, 2019
5. Textbook
The required textbook for this course was written by the Neuroscientist Lisa Feldman
Barrett, "How Emotions are Made: The Secret Life of the Brain," explains the classical
and modern views of emotion. A copy of the required textbook will be provided to each
student during the course.
Required Reading will be communicated on Moodle. Note that knowledge
of the content and teachings of Required Reading is necessary to perform
well on the homeworks and exams.
6. Topic Outline and Schedule
The course begins by laying the groundwork for understanding of human
behavior in parallel with computing systems and peripherals. It is shown that
an ideal system for understanding involves our own selves, and building
appropriate models for how one thinks, feels, and behaves that are consistent
with introspective realities – which we also discuss. We present how sensors
and actuators together with microprocessors and software allow computers
to assess and interact with the world, contrasting this to human eyes, ears,
nose, tongue, and skin together with the nervous system and brain to enable
perception and self-awareness. Importantly we discuss interoception – the
ability to sense what is going on inside of us and its role in human feelings
and construction of emotions, and search for comparable functionality in
artificial intelligence systems utilizing known models. With the building
blocks in place, we move to discussing self and external influences in
arriving at perspective, again discussing and exploring perspective models
that may be implemented with AI and other software in appropriate
hardware. The course culminates in a discussion regarding applications and
challenges of incorporating human perspective in artificial intelligence, and
a class project/report that allows students to analyze approaches and/or code
applicable software demonstrations.
Session
Number
Topic or Activity
1-2 General discussion about the course: the main objectives, the textbook, evaluation
criteria, contents of the course, dates of exams (subject to change), and general
idea project. Introduction: Human Aspects of AI and Modeling
2-3 Synthetic Reality and Actual Occurrences
3-6 Sensing and Sensors: Touch, Sound, Sight, and Others
6-8 Digital and Analog Memories
8-13 Perception: Vision, Language, Smelling, Tasting, and Feeling
10 Exam 1: Monday, February 25, 2019
13-15 Emotions and Representations in Computing Systems
16-18 Quantifying Self and Actuation
18-22 External Agent Influences
20 Exam 2: Monday, April 1, 2019
23-25 Perspective Cycle Paradigm – Thinking & Being
26-27 Perspective Toolbox
28-29 Applications and Challenges of Human Perspective AI
EXAM Final Exam: Date and Place To Be Announced by Registrar
7. Sexual Harassment: Certification 130-2014-2015 states:
Sexual harassment in the workplace and in the study environment is an illegal and
discriminatory act and is against the best interests of the University of Puerto Rico. All
persons who understand they have been subject to acts of sexual harassment at the
University of Puerto Rico may file a complaint and request that the institution investigate,
where necessary, and assume the corresponding action by the university authorities. If the
complainant is a student, he or she must refer his or her complaint to the Office of the
Student Ombudsperson or that of the Dean of Students.
Hostigamiento Sexual: La certificación 130-2014-2015, indica:
El hostigamiento sexual en el empleo y en al ambiente de estudio es una práctica ilegal y
discriminatoria, ajena a los mejores intereses de la Universidad de Puerto Rico. Toda
persona que entienda ha sido objeto de actuaciones constitutiva de hostigamiento sexual
en la Universidad de Puerto Rico podrá quejarse para que se investigue, de ser necesario,
y se tome la correspondiente acción por parte de las autoridades universitarias. Si quien
reclama fuera estudiante, deberá referir su queja a la Oficina de la Procuradora
Estudiantil o al Decanato de Estudiantes.
Certification 06-43 of the Academic Senate states, "The academic guidelines for
offering online courses," defines:
Traditional face-to-face courses are those that have less than 25% of the course's regular
contact hours via the Internet. Therefore, a three-credit course will be considered "face to
face" if, of the 45 hours of regular contact, 11 or less are taught via the Internet.
The following should be included in all syllabi:
According to certification 16-43 of the Academic Senate, a course may include up to
25% of its total contact hours via the Internet. The objective of this is so that all
professors have this alternative in the case of any unscheduled eventuality.
La certificación 06-43 del Senado Académico indica “Las guias académicas para el
ofrecimiento de cursos en línea”, define:
Cursos presenciales son aquellos que tienen menos de un 25% de las horas contacto
regular del curso a través de la Internet. Así, un curso de 3 créditos, será considerado
“presencial” si, de las 45 horas de contacto regular, 11 o menos son a través de la
Internet.
Se debe incluir en los prontuarios lo siguiente:
De acuerdo a la certificación 16-43 del senado académico, el curso puede incluir hasta un
25% del total de horas contacto a través de la Internet
Law 51:
The Comprehensive Educational Services Act for People with disabilities states that after
identifying with the instructor and the institution, the student with disabilities will receive
reasonable accommodation in their courses and evaluations. For more information
contact the Department of Counseling and Psychological services at the Office of the
Dean of Students (Office DE 21) or call 787-265-3864 or 787-832-4040 x 3772, 2040
and 3864.
8. Ley 51:
Ley de Servicios Educativos Integrales para Personas con Impedimentos: Después de
identificarse con el profesor y la institución, los estudiantes con impedimento recibirán
acomodo razonable en sus cursos y evaluaciones. Para más información comuníquese con
el Departamento de Consejería y Servicios Psicológicos en el Decanato de Estudiantes
(Oficina DE 21) o a los teléfonos 787-265-3864 ó 787-832-4040 x 3772, 2040 y 3864.
University Regulation on Academic Integrity
Article 10 of the General Student Regulations of the University of Puerto Rico contains
15 points that are considered "infractions of the essential norms of order and university
coexistence and result in disciplinary sanctions." Here is one of the points. The obtaining
of grades or academic degrees using false and fraudulent simulations, or posing as
another person, or by trick or deception, or copying all or part of the academic work of
another student, or copying totally or partially the answers of another student to the
questions of an exam, or doing or obtaining that another takes in its name any test or oral
or written examination. Violations of these points may entail some of the following
sanctions:
1. Admonition
2. Probation for a defined time during which another violation of any rule will result in
suspension or separation
3. Suspension from the University for a defined period of time. The violation of the terms
of the suspension will entail an increase in the period of suspension or definitive
separation of the University.
4. Definitive separation from the University.
The student who violates this regulation will obtain F in the class and his case may be
brought before the disciplinary board of the Campus.
Prontuario subject to change as deemed necessary.