Course Learning Outcomes

By the end of this course, students should be able to:

• Explain AI as a system that receives information, represents a problem, chooses actions, and improves through feedback or data.
• Tell the difference between searching for an answer, reasoning from rules, planning actions, and learning patterns.
• Recognize when uncertainty, missing data, or weak assumptions make an AI answer less reliable.
• Describe why neural networks are powerful for pattern work but not automatically trustworthy.
• Use a simple AI system map to ask better questions before using AI output in real work.