Introduction to Artificial Intelligence

Enrollment Message:

This course provides an introduction to key concepts, uses, impacts on society, and relevant career explorations. It does not involve computer programming or development of artificial intelligence programs on the part of the student. Students will require a computer device, web browser, and a basic office suite of software (a word processor). If you do not have Microsoft Office on your computer, you can either download Open Office or use Google Docs.

This course teaches what every student should know about Artificial Intelligence. AI is a fast-moving technology with impacts and implications for both our individual lives and society as a whole. In this course, students will get a basic introduction to the building blocks and components of artificial intelligence, learning about concepts like algorithms, machine learning, and neural networks. Students will also explore how AI is already being used, and evaluate problem areas of AI, such as bias. The course also contains a balanced look at AI’s impact on existing jobs, as well as its potential to create new and exciting career fields in the future. Students will leave the course with a solid understanding of what AI is, how it works, areas of caution, and what they can do with the technology. NOTE: This course provides an introduction to key concepts, uses, impacts on society, and relevant career explorations. It does NOT involve computer programming or development of artificial intelligence algorithms or programs on the part of the student. Prerequisites:  None

Course Objectives: Upon completion of this course, students will be able to...

  • Define key business and financial terms related to artificial intelligence (AI), algorithms, machine learning, and AI applications
  • Differentiate between AI, machine learning, deep learning, and neural networks
  • Evaluate key AI applications
  • Describe how AI is designed and how people interact with AI
  • Examine areas of potential bias built within AI applications, and how they can have harmful effects on society
  • Discuss the possible career paths within the field of AI
  • Explain the impact of the AI on the future of jobs and the workplace

Course Outline:

Module 1: Introduction to Artificial Intelligence

Module 2: Perception and Intelligence

Module 3: Algorithms in AI

Module 4: Machine Learning

Module 5: Deep Learning & Neural Networks

Module 6: Humans and AI

Module 7: Ethical AI and Biases

Module 8: AI and Jobs

Resources Included: Online lesson instruction and activities, opportunities to engage with a certified, online instructor and classmates, when appropriate, and online assessments to measure student performance of course objectives and readiness for subsequent academic pursuits.

Additional Costs: None

Scoring System: Michigan Virtual does not assign letter grades, grant credit for courses, nor issue diplomas. A final score out of total points earned will be submitted to your school mentor for conversion to their own letter grading system.

Time Commitment: Semester sessions are 18-weeks long: Students must be able to spend 1 or more hours per day in the course to be successful. Summer sessions are 10 weeks long: Students must be able to spend a minimum of 2 or more hours per day, or about 90 hours during the summer, for the student to be successful in any course. Trimester sessions are 12-weeks long: Students must be able to spend 1.5 or more hours per day in the course to be successful.

Technology Requirements: Students will require a computer device with headphones, a microphone, webcam, up-to-date Chrome Web Browser, and access to YouTube.

Please review the Michigan Virtual Technology Requirements: https://michiganvirtual.org/about/support/knowledge-base/technical-requirements/

Instructor Support System: For technical issues within your course, contact the Customer Care Center by email at [email protected] or by phone at (888) 889-2840.

Instructor Contact Expectations: Students can use email or the private message system within the Student Learning Portal to access highly qualified teachers when they need instructor assistance. Students will also receive feedback on their work inside the learning management system. The Instructor Info area of their course may describe additional communication options.

Academic Support Available: In addition to access to a highly qualified, Michigan certified teacher, students have access to academic videos and outside resources verified by Michigan Virtual. For technical issues within the course, students can contact the Michigan Virtual Customer Care by email at [email protected] or by phone at (888) 889-2840.

Required Assessment: Online assessments consist of formative and summative assessments represented by computer-graded multiple choice, instructor-graded writing assignments including hands-on projects, model building and other forms of authentic assessments.

Technical Skills Needed: Basic technology skills necessary to locate and share information and files as well as interact with others in a Learning Management System (LMS), include the ability to:

  • Download, edit, save, convert, and upload files
  • Download and install software
  • Use a messaging service similar to email
  • Communicate with others in online discussion or message boards, following basic rules of netiquette
  • Open attachments shared in messages
  • Create, save, and submit files in commonly used word processing program formats and as a PDF
  • Edit file share settings in cloud-based applications, such as Google Docs, Sheets, or Slides
  • Save a file as a .pdf
  • Copy and paste and format text using your mouse, keyboard, or an html editor’s toolbar menu
  • Insert images or links into a file or html editor
  • Search for information within a document using Ctrl+F or Command+F keyboard shortcuts
  • Work in multiple browser windows and tabs simultaneously
  • Activate a microphone or webcam on your device, and record and upload or link audio and/or video files
  • Use presentation and graphics programs
  • Follow an online pacing guide or calendar of due dates
  • Use spell-check, citation editors, and tools commonly provided in word processing tool menus
  • Create and maintain usernames and passwords

Additional Information: None

Details


School Level: High School
Standards: Next Generation Science Standards
NCAA Approved: N/A - Non-Core
Alignment Document: Document
Course Location:
NCES Code: 10008
MDE Endorsement Code: NR - Computer Science
MMC Minimum Requirements: EDP/Career Interest Elective

When Offered: _Internal Use Only

Content Provider: Pointful Education
Instructor Provider: Michigan Virtual

Course Type: Plus