CIS 1879 AI PROMPT WRITING COURSE PROCEDURE

CIS1879 - AI PROMPT WRITING

3 Credit Hours

Student Level:

This course is open to students on the college level in either the Freshman or Sophomore year.

Catalog Description:

CIS1879 - AI Prompt Writing (3 hrs.)

This course provides students with a comprehensive understanding of Artificial Intelligence (AI) prompt writing, focusing on foundational principles and advanced strategies for effectively interacting with AI language models. Through a hands-on, application-driven approach, students will learn to craft precise, efficient, and goal-oriented prompts to optimize AI responses in various domains. Emphasizing critical thinking, iterative refinement, and ethical considerations, the course equips learners with the skills to leverage AI for problem-solving, content generation, data analysis, and automation. By fostering innovation and productivity, students will develop the ability to integrate AI tools effectively in academic and professional settings.

KRSN: n/a

Course Classification: Lecture

Prerequisites:
NONE

Co-requisites:
NONE

Controlling Purpose:

This course equips students with the foundational principles and advanced strategies of prompt engineering to effectively interact with AI language models. Through a hands-on, application-driven approach, students will learn how to craft precise, efficient, and goal-oriented prompts to optimize AI responses across various domains. Emphasizing critical thinking, iterative refinement, and ethical considerations, the course prepares learners to leverage AI tools for problem-solving, content generation, data analysis, and automation, fostering innovation and productivity in both academic and professional settings.

Learner Outcomes:

Upon completion of the course, the student will:

1. Demonstrate a foundational understanding of AI language models by explaining their capabilities, limitations, and ethical considerations in human-AI interactions.
2. Develop effective and structured prompts to generate accurate, relevant, and contextually appropriate AI responses for various applications.
3. Analyze and refine AI-generated outputs by iterating on prompts to improve clarity, specificity, and alignment with intended goals.
4. Apply prompt engineering techniques across diverse domains, including content creation, data analysis, automation, and decision support.
5. Evaluate the ethical and responsible use of AI-generated content, addressing biases, misinformation, and security concerns in AI-driven workflows.
6. Innovate and adapt AI interactions by experimenting with prompt variations, system messages, and role-based inputs to optimize AI performance in real-world scenarios.

Unit Outcomes for Criterion Based Evaluation:

The following outline defines the minimum core content not including the final examination period.  Instructors may add other material as time allows.

UNIT 1: Understanding AI Language Models

Outcomes: Students will develop a foundational understanding of AI language models, their capabilities, limitations, and ethical implications in real-world use.

Upon completion of this unit, students will be able to:

• Explain the fundamental concepts behind AI language models.
• Describe the capabilities and limitations of AI-generated outputs.
• Discuss ethical considerations, including bias and responsible usage.
• Identify real-world applications and challenges of AI-generated content.

UNIT 2: Developing Effective Prompts

Outcomes: Students will learn how to construct well-structured prompts that produce accurate, contextually appropriate AI responses tailored to specific applications.

Upon completion of this unit, students will be able to:

• Construct prompts that generate accurate and relevant responses.
• Identify and apply techniques to increase clarity and precision in AI outputs.
• Design prompts suited for applications such as content creation, automation, and communication.

UNIT 3: Refining AI-Generated Outputs

Outcomes: Students will practice evaluating and refining AI-generated responses through iterative prompt adjustments to achieve clarity and alignment with intended goals.

Upon completion of this unit, students will be able to:

• Analyze AI-generated responses for relevance, accuracy, and coherence.
• Revise prompts to improve specificity and alignment with goals.
• Apply troubleshooting strategies to refine AI interactions based on desired outcomes.

UNIT 4: Applying Prompt Engineering Techniques

Outcomes: Students will apply prompt engineering strategies across a variety of domains, adapting AI outputs to meet specific objectives and industry contexts.

Upon completion of this unit, students will be able to:

• Utilize prompt engineering methods across various domains, such as data analysis, decision support, and creative writing.
• Adapt AI-generated content to meet specific industry needs and objectives.
• Experiment with variations in prompt design to optimize AI performance in different contexts.

UNIT 5: Evaluating Ethical and Responsible AI Use

Outcomes: Students will examine and apply ethical guidelines for responsible AI use, addressing issues such as bias, misinformation, and security in AI workflows.

Upon completion of this unit, students will be able to:

• Identify and address biases in AI-generated content.
• Assess the risks of misinformation and security concerns in AI-driven workflows.
• Apply ethical guidelines for responsible AI usage in professional and personal applications.

UNIT 6: Innovating and Optimizing AI Interactions

Outcomes: Students will explore advanced prompt customization and innovative applications of AI to optimize performance and create efficient problem-solving strategies.

Upon completion of this unit, students will be able to:

• Experiment with role-based inputs, system messages, and structured prompts to enhance AI performance.
• Optimize AI interactions through advanced customization techniques.
• Develop innovative applications of AI language models for problem-solving and efficiency.

Projects Required:

Varies, refer to syllabus.

Textbook:

Contact Bookstore for current textbook.

Materials/Equipment Required:

None

Attendance Policy:

Students should adhere to the attendance policy outlined by the instructor in the course syllabus.

Grading Policy:

The grading policy will be outlined by the instructor in the course syllabus.

Maximum class size:

Based on classroom occupancy

Course Time Frame:

The U.S. Department of Education, Higher Learning Commission and the Kansas Board of Regents define credit hour and have specific regulations that the college must follow when developing, teaching and assessing the educational aspects of the college.  A credit hour is an amount of work represented in intended learning outcomes and verified by evidence of student achievement that is an institutionally-established equivalency that reasonably approximates not less than one hour of classroom or direct faculty instruction and a minimum of two hours of out-of-class student work for approximately fifteen weeks for one semester hour of credit or an equivalent amount of work over a different amount of time.  The number of semester hours of credit allowed for each distance education or blended hybrid courses shall be assigned by the college based on the amount of time needed to achieve the same course outcomes in a purely face-to-face format.

Refer to the following policies:

402.00 Academic Code of Conduct

263.00 Student Appeal of Course Grades

403.00 Student Code of Conduct

Accessibility Services Program:

Cowley College, in recognition of state and federal laws, accommodates all students with a documented disability. If a student has a disability that will impact their ability to be successful in this course, please contact the Student Accessibility Coordinator for the needed accommodations.

DISCLAIMER: THIS INFORMATION IS SUBJECT TO CHANGE.  FOR THE OFFICIAL COURSE PROCEDURE CONTACT ACADEMIC AFFAIRS.