Applications of Artificial Intelligence
Course Description:
You'll embark on a thrilling journey through the world of artificial intelligence. From machine learning to robotics, you'll gain hands-on experience developing AI systems, delve into the complexities of natural language processing and computer vision, and consider the ethical and societal implications of this rapidly evolving technology. Get ready to be amazed and inspired by the limitless possibilities of AI as you immerse yourself in this cutting-edge field.
Course Details:
Course Title (District): | Applications of Artificial Intelligence | ||||||||||
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Course Title (NCES SCED) : | Particular Topics in Computer Literacy | ||||||||||
Course Provider : | Michigan Virtual | ||||||||||
Content Provided By : | Florida Virtual School | ||||||||||
Online Instructor Provided By : | Michigan Virtual | ||||||||||
Standards Addressed : | MI Integrated Technology Competencies for Students, Michigan K-12 Computer Science Standards (2019) | ||||||||||
Alignment Document : | https://drive.google.com/file/d/1J6IHj1pryfq6RsksebiaMWVhDWXiemhE/view?usp=sharing | ||||||||||
Academic Terms : | Semester | ||||||||||
NCES SCED Code : 10008 |
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How To Enroll:
Enrollment Website : | https://slp.michiganvirtual.org/ |
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Email : | [email protected] |
Phone : | (888) 889-2840 |
Students and Parents: It is important to work closely with your local school counselor or registrar to follow the school's enrollment procedures. By clicking the "Start Registration Request" button below, you will be able to notify the school of your interest in registering for the online course. However, it is the responsibility of the district or school to review the registration request and approve or deny the request. Please make a note to follow up with your school after submitting a registration request.
Additional Course Information:
- Email: [email protected]
- Phone: (888) 889-2840
- Explain AI systems and how they are used
- Explain the relationship between AI, humans, and the environment
- Explain how training data influences learning
- Identify processes of collecting and analyzing data for AI
- Identify types of databases and how they are used
- Explain relational databases and how they are helpful for structured data
- Identify challenges and solutions in machine learning
- Apply principles of the Software development life cycle (SDLC)
- Identify types of datasets and how they are used in decision-making
- Explain how AI can inform and drive decision-making and automation
- Identify data patterns and processing
- Distinguish between supervised and unsupervised learning
- Explain methods and uses of speech transcription and visual object recognition
- Create training machine learning (ML) models
- Develop AI models
- Explain AI embedded systems
- Identify career paths and technical student organizations related to AI
Additional Cost Description:
None
Upon completion of this course, students will be able to...
NSQ National Standards for Quality Online Courses
Rating | Comments | |
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B5. Supplemental learning resources and related instructional materials are available to support and enrich learning and are aligned to the specific content being delivered.* | Fully Met | |
B6. The online course content and supporting materials reflect a culturally diverse perspective that is free of bias.* | Fully Met | |
B7. The online course materials (e.g., textbooks, primary source documents, OER) that support course content standards are accurate and current. | Fully Met | |
B8. The online course is free of adult content and avoids unnecessary advertisements.* | Fully Met | |
B9. Copyright and licensing status for any third-party content is appropriately cited and easily found. | Fully Met | |
B10. Documentation and other support materials are available to support effective online course facilitation.* | Fully Met | |
B1. The online course objectives or competencies are measurable and clearly state what the learner will be able to demonstrate as a result of successfully completing the course.* | Fully Met | |
B2. The online course expectations are consistent with course-level objectives or competencies, are representative of the structure of the course, and are clearly stated. | Fully Met | |
B3. The online course content is aligned with accepted state and/or other accepted content standards, where applicable.* | Fully Met | |
B4. Digital literacy and communication skills are incorporated and taught as an integral part of the curriculum.* | Fully Met |
Rating | Comments | |
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C1. The online course design includes activities that guide learners toward promoting ownership of their learning and self-monitoring. | Partially Met | Limited opportunities. |
C2. The online course’s content and learning activities promote the achievement of the stated learning objectives or competencies. | Partially Met | Activities do not consistently match the verb choice within stated learning objectives. For example, asking students to describe or define but then the assessment is multiple choice. There are occasionally misaligned learning goals, asking students to describe, or define, but assessed by multiple choice quiz. |
C3. The online course is organized by units and lessons that fall into a logical sequence. | Fully Met | |
C4. The online course content is appropriate to the reading level of the intended learners.* | Fully Met | |
C5. The online course design includes introductory assignments or activities to engage learners within the first week of the course. | Fully Met | |
C6. The online course provides learners with multiple learning paths as appropriate, based on learner needs, that engage learners in a variety of ways. | Partially Met | Limited opportunities. |
C7. The online course provides regular opportunities for learner-learner interaction. | Partially Met | Limited opportunities. |
C8. The online course design provides opportunities for learner-instructor interaction, including opportunities for regular feedback about learner progress.* | Partially Met | Limited opportunities. |
C9. Online course instructional materials and resources present content in an effective, engaging, and appropriate manner.* | Fully Met |
Rating | Comments | |
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D1. Learner assessments are linked to stated course, unit, or lesson-level objectives or competencies. | Partially Met | Some assessment types do not accurately measure the related standard or learning objectives. |
D2. Valid course assessments measure learner progress toward mastery of content. | Fully Met | |
D3. Assessment practices provide routine and varied opportunities for self-monitoring and reflection of learning.* | Fully Met | |
D4. Assessment materials provide the learner with the flexibility to demonstrate mastery in a variety of ways.* | Fully Met | |
D5. Rubrics that clearly define expectations for varied levels of proficiency are created and shared with learners.* | Fully Met |
Rating | Comments | |
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E1. Online course navigation is logical, consistent, and efficient from the learner’s point of view.* | Fully Met | |
E2. The online course design facilitates readability.* | Fully Met | |
E3. The online course provides accessible course materials and activities to meet the needs of diverse learners.* | Fully Met | |
E4. Course multimedia facilitate ease of use.* | Fully Met | |
E5. Vendor accessibility statements are provided for all technologies required in the course.* | Fully Met |
Rating | Comments | |
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A1. A course overview and syllabus are included in the online course | Fully Met | |
A2. Minimum computer skills and digital literacy skills expected of the learner are clearly stated.* | Fully Met | |
A3. The instructor’s biographical information and information on how to communicate with the instructor are provided to learners and other stakeholders. | Fully Met | |
A4. Learner expectations and policies are clearly stated and readily accessible within the introductory material of the course. | Fully Met | |
A5. Minimum technology requirements for the course are clearly stated, and information on how to obtain the technologies is provided.* | Fully Met | |
A6. Grading policies and practices are clearly defined in accordance with course content learning expectations. | Fully Met | |
A7. The online course provides a clear description or link to the technical support offered and how to obtain it.* | Fully Met | |
A8. Learners are offered an orientation prior to the start of the online course. | Fully Met |
Rating | Comments | |
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F1. Educational tools ensure learner privacy and maintain confidentiality of learner information in accordance with local, state, and national laws for learner data. | Fully Met | |
F2. The online course tools support the learning objectives or competencies.* | Fully Met | |
F3. The online course provides options for the instructor to adapt learning activities to accommodate learners’ needs and preferences.* | Partially Met | Instructor role permissions within Michigan Virtual's learning management system permit instructors to add supplemental content and external resources both within lessons and announcements. Additionally, the learning management system permits online accommodations including text-to-speech tools, extended testing time, provision of multiple attempts, and scoring exemptions for extenuating circumstances. Course content is desgined, however, to meet state and national content standards alignment and provide a guaranteed and viable curriculum to all enrolled learners, and therefore there are restrictions on instructor permissions to modify the scope and sequence of course assessments. |
F4. The course allows instructors to control the release of content.* | Partially Met | Michigan Virtual provides for flexible pacing and asynchronous delivery of its online course offerings. In order to maximize these opportunities for personalized learner preferences and flexibility concerning frequency or timing of individual learner availability or participation in courses during academic terms, with few exceptions, all course content is made available at all times throughout the term, and generally only midterm or final exams are password protected. Conditional release of content is intentionally avoided or used sparingly within Michigan Virtual course design and instructional delivery models. |
F5. The course provides the necessary technical functionality to score and record assessments and calculate earned course points or grades.* | Fully Met |
Rating | Comments | |
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G1. The online course uses multiple methods and sources of input for assessing course effectiveness. | Fully Met | |
G2. The online course is reviewed to ensure that the course is current. | Fully Met | |
G3. The online course is updated on a continuous improvement cycle for effectiveness based on the findings from ongoing reviews. | Fully Met |
Review Conducted By: Michigan Virtual
Date of Review:
07/25/2024
Module 1: Power of Perception
Module 2: How to Train Your Computer
Module 3: It’s Your Story
Term Type | Enrollment Opens | Enrollment Ends | Random Draw Date | Enrollment Drop Date | Course Starts | Course Ends | # of Seats | Course Fee | Potential Additional Costs |
---|---|---|---|---|---|---|---|---|---|
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 01/17/2025 | 01/03/2025 | 05/23/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 01/24/2025 | 01/10/2025 | 05/30/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 01/31/2025 | 01/17/2025 | 06/06/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 02/07/2025 | 01/24/2025 | 06/13/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 02/14/2025 | 01/31/2025 | 06/20/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 02/21/2025 | 02/07/2025 | 06/20/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 02/28/2025 | 02/14/2025 | 06/20/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 03/07/2025 | 02/21/2025 | 06/20/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 03/14/2025 | 02/28/2025 | 06/20/2025 | 100 | $350 | |
Semester | 03/29/2024 | 03/14/2025 | 07/01/2024 | 03/21/2025 | 03/07/2025 | 06/20/2025 | 100 | $350 |
Drop Policy | Completion Policy | Term Type | Enrollment Opens | Enrollment Ends |
---|---|---|---|---|
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
Students have 14 days from the enrollment start date to drop the course and receive a full refund. No refunds are given after 14 days. Drop dates are calculated and what is posted is the last possible drop date for enrollments created within the enrollment window. | Students may access their course from their enrollment start date to their enrollment end date. A completion is a 60% final score or higher. | Semester | 03/29/2024 | 03/14/2025 |
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/
Lightweight devices such as Apple iPads, Google Chromebooks, and tablets have limited support for Java or Flash which still appear in a small percentage of our catalog. While FLVS does not offer technical support for these devices, FLVS is working to remove Flash from their remaining course content. Students will need extra work-around steps or alternate browsers to engage with some portions of those courses. FLVS recommends students have a Windows or Mac based computer available to complete coursework in the event that your selected mobile device does not meet the needs of the course. Fully supported Operating Systems for FLVS courses include Windows (10 or higher) and MacOS (11 or higher). Supported Browsers include the most recent versions of Microsoft Edge, Mozilla Firefox, Google Chrome, and Apple Safari on devices that support Java and HTML5. Browsers need to be up to date, and some FLVS courses may require installation or enabling of the following Plug-ins: JavaScript enabled, Cookies enabled, Java installed. https://www.flvs.net/student-parent-resources/more/system-requirements