University of the People 3 credits CS
This course is an introduction to artificial intelligence. The course will cover the history, theory, and computational methods of artificial intelligence. Basic concepts will examine agents in the context of computational intelligence. The course will also explore representations of knowledge, search as a problem-solving technique, reasoning with both certainty and uncertainty, and the resulting role of probability when reasoning in uncertainty. The course will also address planning concepts and the role of multi-agent systems. Learning Objectives and Outcomes: By the end of this course students will be able to: Define artificial intelligence and its characteristics. Describe both the Turing Test and the Chinese Room as tests of intelligence. Define the structure, types, characteristics, and behaviors of agents. Demonstrate familiarity with search algorithms as a problem-solving strategy. Uninformed search Informed search or Heuristics A* search Min-max algorithm Demonstrate familiarity with constraint satisfaction problems (CSP). Demonstrate familiarity with Knowledge representation and reasoning concepts including propositional and predicate logic. Explain the role and application of probability in reasoning. Define approaches to planning both with certainty and uncertainty. Course Schedule and Topics This course will cover the following topics in eight learning sessions, with one Unit per week. The Final Exam will take place during Week/Unit 9 (UoPeople time). Week 1: Unit 1 - Fundamentals of AI Week 2: Unit 2 - Agents Week 3: Unit 3 - Problem Solving Through Search Week 4: Unit 4 - Features and Constraints Week 5: Unit 5 - Knowledge Representation and Reasoning Week 6: Unit 6 -Reasoning Under Uncertainty Week 7: Unit 7 -Planning Week 8: Unit 8 -Multi-Agent Systems Week 9: Unit 9 -Course Review and Final Exam Learning Guide The following is an outline of how this course will be conducted, with suggested best practices for students. Unit 1: Fundamentals of AI Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete an entry in the Learning Journal Take the Self-Quiz Unit 2: Agents Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete and submit the Programming Assignment Complete an entry in the Learning Journal Take the Self-Quiz Unit 3: Problem Solving Through Search Peer assess Unit 2 Programming Assignment Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete an entry in the Learning Journal Take the Self-Quiz Take the Graded Quiz Unit 4: Features and Constraints Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete and submit the Programming Assignment Complete an entry in the Learning Journal Take the Self-Quiz Unit 5: Knowledge Representation and Reasoning Peer assess Unit 4 Programming Assignment Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete and submit the Programming Assignment Complete an entry in the Learning Journal Take the Self-Quiz Unit 6: Reasoning Under Uncertainty Peer assess Unit 5 Programming Assignment Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete an entry in the Learning Journal Take the Self-Quiz Take the Graded Quiz Unit 7: Planning Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete and submit the Programming Assignment Complete an entry in the Learning Journal Take the Self-Quiz Unit 8: Multi-Agent Systems Peer assess Unit 7 Programming Assignment Read the Learning Guide and Reading Assignments Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum) Complete an entry in the Learning Journal Take the Self-Quiz Read the Unit 9 Learning Guide carefully for instructions on the Final Exam Take the Review Quiz Complete and submit the anonymous Course Evaluation Unit 9: Course Review and Final Exam Read the Learning Guide and take the Review Quiz, if you haven't already done so Prepare for, take, and submit the Final Exam The Final Exam will take place during the Thursday and Sunday of Week/Unit 9 (UoPeople time); exact dates, times, and other details will be provided accordingly by your instructor
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.