Master Syllabus CS1323, Artificial Intelligence Fundamentals

Credits 3 Lab Hours 0 Lecture Hours 3 Clinical Hours 0
Course Description

This course introduces students to the principles, techniques, and applications of Artificial Intelligence (AI). Topics include history, search algorithms, knowledge representation, natural language processing, and machine learning. Students will engage in hands-on exploration of AI tools such as OpenAI’s API and learn how to design and test intelligent systems.

For each unit of credit, a minimum of three hours per week with one of the hours for class and two hours for studying/preparation outside of class is expected.

Program and/or Department Mission Statement

The CIS Program will provide superior learning opportunities in the area of information technology utilizing current technology to enable all students to archive their career and/or educational goals.

Academic Year
AY2024-25
SCCC Outcomes

Outcome #5: Demonstrate the ability to think critically by gathering facts, generating insights, analyzing data, and evaluating information.

Outcome #6: Exhibit skills in information and technological literacy.

Outcome #9: Exhibit workplace skills to include respect for others, teamwork competence, attendance/punctuality, decision making, conflict resolution, truthfulness/honest, positive attitude, judgment, responsibility.

Course Outcomes
  1. Define key concepts in AI and describe its evolution and current applications.
  2. Apply basic search and decision-making algorithms to problem-solving.
  3. Analyze the components of intelligent agents and AI systems.
  4. Demonstrate introductory machine learning concepts.
  5. Utilize OpenAI tools to build simple generative or decision-support applications.
  6. Evaluate the ethical and societal implications of AI technologies.
Course Outline
  1. Introduction to AI
  2. Intelligent Agents & Problem Solving 
  3. Uniformed Search Algorithms
  4. Informed Search & Heuristics
  5. Knowledge Representation
  6. Machine Learning Overview 
  7. Classification and Regression
  8. Neural Networks & Deep Learning
  9. Natural Language Processing
  10. OpenAI GPT Tools & API
  11. Prompt Engineering
  12. AI in Society
  13. AI in Industry
  14. Project Development Week
  15. Final Project Presentations
  16. Course Wrap-Up
Instructional Methods
  1. Hands-on lab assignments, quizzes, and exams will assess student knowledge of the material covered.
  2. Group assignments and projects will assess students' ability to think critically by gathering and analyzing data and generating insight into problem-solving methodology.
Instructional Resources and Materials
  1. Assorted AI tools as they apply to the course
Methods of Assessment

Outcomes 5, 6, and 9 will be assessed by:

  1. Hands-on lab assignments, quizzes, and exams will assess student knowledge of the material covered.
  2. Group assignments and projects will assess students' ability to think critically by gathering and analyzing data and generating insight into problem-solving methodology.

SCCC Policy

Academic Calendar
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Technical Help

Technical support is available by contacting the SCCC IT Department at itech@sccc.edu

Canvas Help:  canvashelp@sccc.edu

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Canvas Student Orientation

Americans with Disabilities Act (ADA) Statement

Under the Americans with Disabilities Act, Seward County Community College will make reasonable accommodations for students with documented disabilities. If you need support or assistance because of a disability, you may be eligible for academic accommodations. Students should identify themselves to the Mental Health Counselor at 620-417-1106 or go to the Student Success Center in the Hobble Academic building, room A149.

Reviewed Date
Course Pull Date