Course ID:
Course Code & Number
ENGR 410
Course Title
Prompt Engineering
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 5 ECTS Credits
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Pre-requisite / Co-requisite::
Pre-requisites: CMPE 113
Co-requisites: NONE
Catalog Description
PIntroduction to prompt engineering; relation to artificial intelligence models (LLMs – GPT, Claude, LLaMA). Basic terminologies Token, Context Window. Zero shot, One-shot, Few Shot and Chain-of-Thought prompts. Advanced prompting strategies; Tree of Thoughts (ToT) and ReAct (Reason + Act). Tools and frame works; LangChain, LlamaIndex, AutoGPT, Prompt IDE. Multimodal prompting; ChatGPT + DALL·E, Stable Diffusion, MidJourney. Security, Ethics, and Data Poisoning. Context engineering and context design techniques; Retrieval-Augmented Generation (RAG) systems, Context weighting Real-World Applications and Case Studies. AI Agents and Agentic AI techniques and application fields. Project Presentations and Final Evaluation.
Course Objectives
Software Usage
Course Learning Outcomes
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Design Content
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