Hybrid – T 4:15 PM - 5:45 PM (16 wks)
Relationship to academic programs and transfer:
ITSM-1013 AI Basics and Prompting was designed to meet specific student needs either individually or within a program. Transferability of this course will be determined by each transfer institution. Please see an academic advisor for an explanation concerning transfer option.
Faculty Contact Information
Please contact instructor to make an appointment.
Course Information
UCertify – AI Prompt Engineering
Additional: A PC with Windows 10 or higher along with Internet access is required for successfully working with the materials to complete this course.
Student evaluation is based on points accrued. Point values may change based on added or removed assignments.
Corresponding grading scale:
90-100% = A
80-89% = B
70-79% = C
60-69% = D
59% or lower = F
Business, Technology & Human Services
Dean, Paul Carlson; 815-802-8858; V105; pcarlson@kcc.edu; Division Office – W102; 815-802-8650
Attendance Policy – Virtual or Face-to-Face
Attendance is mandatory. If a class or lab session must be missed, arrangements must be made prior to the absence. If an absence is not planned, a valid excuse (i.e., doctor’s note, etc.) must be provided to the instructor for each missed session at the beginning of the following class session. Make-up work, including assignments, quizzes, exams, etc., is provided at the discretion of the instructor and must be completed within one week of the missed class period.
Readings
This course requires you to read the assigned reading from the instructor. Lectures will provide only an overview of the reading material. You are expected to come to class prepared for that day’s lecture.
Quizzes, Assignments, & Exams
Each of you possess different test taking abilities, strengths, and weaknesses. With this in mind, due diligence has been used in designing all quizzes, assignments, and exams so that they may contain a mixture of multiple choice, matching, short answer recall and essay. Quizzes are meant to assess your recall and retention of lecture, reading, and lab materials. Assignments will be administered as a follow up for select topics throughout the semester. Exams are designed to assess retention of lecture and reading materials, while also assessing your ability to compare /contrast and apply concepts. Quizzes can be given at any time with or without notice.
Additional information:
• Quizzes may be posted on Canvas.
• On face-to-face quiz and exam days, students must arrive on time and be ready to take the quiz or exam at the start of class.
•If a student enters the classroom late on a quiz day, he/she may take the quiz as long as at least one student is still in possession of the quiz. If all students have completed and turned in the quiz, he/she may not take the quiz.
• Students will not be permitted to enter the classroom and take the exam once the exam has started.
• Once an exam or quiz has been administered, a student will not be permitted to leave for any reason until he/she turns the exam in.
• If a student’s cell phone is disruptive during an exam or quiz, the student will receive a zero on that exam.
• If a student is found using their cell phone in any way during an exam or quiz, it will be considered to be a case of cheating and the student will receive a zero on the exam as well as the possibility of receiving an F for the course grade.
• Late assignments will not be accepted unless arrangements are made – see Attendance Policy.
Lab
Labs will be hands-on and reinforce the concepts and practices discussed during lecture. After or during each lab exercise you may be required to complete a lab worksheet. These worksheets will be due to the instructor when directed.
Classroom Guidelines – Virtual or Face-to-Face
• Turn off all cell phones and all other items that may beep, buzz, or otherwise interrupt the instructor and other students. If you must have your cell phone on for work or a family emergency, set it to vibrate and leave the classroom if you receive a call.
• No texting during class.
• Failure to follow either of the above rules will result in a warning (first offense), 5 point deduction from your class grade (second offense), and removal from the class period (third and beyond offense).
• This is your course! You will gain the most from this course if you actively participate in classroom and lab discussions and share your experiences and questions.
• Learn the names of your classmates and help one another whenever possible (but not during quizzes and exams).
• This is your classroom! Take responsibility for the classroom and lab areas by picking up after yourself. No food in computer labs.
• Audio/video recording of class is not permitted unless pre-approved by the instructor
• Laptop usage is not allowed during class, unless otherwise stated by instructor.
• iPod usage or headphone devices of any kind are not allowed during class
• Arrive promptly before class begins.
• No tobacco products may be used on campus.
• Know and follow basic safety rules. Report any accidents, injuries, spills, or problems to the instructor immediately.
• Do not come to class when you are ill and likely to infect others.
• Minor children are not allowed in the classroom or lab areas for safety reasons.
• No students will be allowed to work in lab areas outside of class time without instructor permission and appropriate supervision.
Student Integrity
All students are expected to take quizzes, exams, write papers, and conduct themselves with integrity, common sense, and respect for their fellow students, the instructor, and the academic institution. Students should not jeopardize their own honesty or that of other students.
Cheating will not be tolerated. Upon evidence of student cheating, the student will be dropped from the course and receive a grade of F in the course.
AI Usage
Students must obtain permission from the instructor before using AI composition software / AI writing tools / AI tools (such as ChatGPT), etc. for any assignments in this course. Using these tools without the instructor’s permission places your academic integrity at risk.
If AI tools are used, students are expected to demonstrate transparency and provide appropriate citations for any AI-generated content included in their work.
Week 1 • Chapter 1: AI Foundations
• Alan Turing and the Turing Test
• Cybernetics
• The Origin Story
• Golden Age of AI
• AI Winter
• The Rise and Fall of Expert Systems
• Neural Networks and Deep Learning
• Technological Drivers of Modern AI
• Structure of AI
• Conclusion
• Key Takeaways • Reading Discussions
• Digital Flash Cards
• Labs
Week 2
• Chapter 2: Data
• Data Basics
• Types of Data
• Big Data
• Databases and Other Tools
• Data Process
• Ethics and Governance
• More Data Terms and Concepts
• Conclusion
• Key Takeaways • Read
• Cards
• Lab
Week 3 • Chapter 3: Machine Learning
• What Is Machine Learning?
• Standard Deviation
• The Normal Distribution
• Bayes’ Theorem
• Correlation
• Feature Extraction
• What Can You Do with Machine Learning?
• The Machine Learning Process
• Applying Algorithms
• Common Types of Machine Learning Algorithms
• Naïve Bayes Classifier (Supervised Learning/Classification)
• K-Nearest Neighbor (Supervised Learning/Classification)
• Linear Regression (Supervised Learning/Regression)
• Decision Tree (Supervised Learning/Regression)
• Ensemble Modelling (Supervised Learning/Regression)
• K-Means Clustering (Unsupervised/Clustering) • Read
• Cards
• Lab
Week 4 • Chapter 4: Deep Learning
• Difference Between Deep Learning and Machine Learning
• So What Is Deep Learning Then?
• The Brain and Deep Learning
• Artificial Neural Networks (ANNs)
• Backpropagation
• The Various Neural Networks
• Deep Learning Applications
• Deep Learning Hardware
• When to Use Deep Learning?
• Drawbacks with Deep Learning • Read
• Cards
• Lab
Week 5 • Chapter 5: Robotic Process Automation (RPA)
• What Is RPA?
• Pros and Cons of RPA
• What Can You Expect from RPA?
• How to Implement RPA
• RPA and AI
• RPA in the Real World• • Read
• Cards
• Lab
Week 6 • Chapter 6: Natural Language Processing (NLP)
• The Challenges of NLP
• Understanding How AI Translates Language
• Voice Recognition
• NLP in the Real World
• Voice Commerce
• Virtual Assistants
• Chatbots
• Future of NLP • Read
• Cards
• Lab
Week 7 • Chapter 7: Physical Robots
• What Is a Robot?
• Industrial and Commercial Robots
• Robots in the Real World
• Humanoid and Consumer Robots
• The Three Laws of Robotics
• Cybersecurity and Robots
• Programming Robots for AI
• The Future of Robots • Read
• Cards
• Lab
Week 8 • Chapter 8: Implementation of AI
• Approaches to Implementing AI
• The Steps for AI Implementation
• Identify a Problem to Solve
• Forming the Team
• The Right Tools and Platforms
• Deploy and Monitor the AI System
• Chapter 9: The Future of AI• • Read
• Cards
• Lab
Week 9 • Chapter 10: The Role of Prompts in Interacting with ChatGPT
• Anatomy of a Well-Constructed Prompt
• Exploring Different Prompt Styles
• Prompt Examples and Analysis
• Exploring Different Prompt Styles
• Chapter 11: Crafting Prompts
• Leveraging Context for More Relevant Responses
• Harnessing Prior Chat Turns for Smooth Conversations
• Incorporating The User’s Name and Details for Personalization • Read
• Cards
• Lab•
Week 10 • Ch. 12: Asking Specific Questions
• Techniques for Asking Clear and Direct Questions
• Navigating Ambiguity: How to Get Precise Answers
• Uncovering Hidden Information With Well-Formed Queries
• Asking Clear and Direct Questions
• Ch. 13: Providing Constraints and Guidelines
• Setting Constraints for Desired Output
• Ensuring Ethical and Responsible Responses
• Combining Constraints for Tailored Content
• Applying Constraints and Ethical Guidelines to Enhance ChatGPT Response Quality • Read
• Cards
• Lab•
Week 11 • Ch. 14: Creative Prompts for Diverse Content
• Inspiring Creative Writing with Open-Ended Prompts
• Generating Poetry, Stories, and Dialogues
• Using Prompts to Generate Ideas and Concepts
• Exploring Creativity Through Multimodal Prompts • Read
• Cards
• Lab•
Week 12 • Ch. 15: Debugging and Iterating Prompts
• Interpreting and Analyzing Model Responses
• Identifying Misunderstandings and Errors
• Strategies for Iterating and Improving Prompts
• Implementing Strategies for Iterating and Improving Prompts • Read
• Cards
• Lab•
Week 13 • Ch. 16: Advanced Prompt Engineering
• Using Temperature, Top-P, and Max Tokens for Control
• Incorporating Conditional Logic in Prompts
• Dynamic Prompts for Interactive Experiences
• Applying Advanced Techniques for Controlling ChatGPT • Read
• Cards
• Lab
Week 14 • Ch. 18: Real-World Applications
• Applying Prompt Engineering in Customer Support
• Generating Content for Social Media and Marketing
• Educational Use Cases: Teaching and Learning with ChatGPT
• Business Applications
• Technical and Engineering Applications
• Exploring Real-World Applications of Prompt Engineering • Read
• Cards
• Lab
Week 15 • Ch. 19: Future Trends and Ethical Considerations
• The Evolving Landscape of AI-Generated Content
• Addressing Bias and Fairness in Prompts and Responses
• Ethical Considerations for Prompt Engineering
• Exploring the Future of Prompt Engineering through Creative AI Applications • Read
• Cards
• Lab
Week 16 • Review / Finals Reflection / Research Project
College Policies, Resources and Supports
For information related to the Student Code of Conduct Policy, Withdrawal Policy, Email Policy, and Non- Attendance/Non-Participation Policy, please review the college’s Code of Campus Affairs and Regulations webpage, which can be found at catalog.kcc.edu under the Academic Regulations & Conduct Guide.
KCC offers various academic and personal resources for all students. Many services are offered virtually, as well as in person. Please visit Student Resources - Kankakee Community College to access student resources services such as:
- Clubs and organizations
- Counseling and referral services
- Office of disability services
- Student complaint policy
- Transfer services
- Tutoring services, etc.
The materials on this course are only for the use of students enrolled in this course for purposes associated with this course. Further information regarding KCC's copyright policy is available at https://kcc.libguides.com/copyright.
|Course syllabus/calendar is subject to change.