Introduction to AI for Computer Scientists opens the CS major's dedicated AI sequence — critical terminology, historical context, and the algorithmic thinking underlying AI, taught with a real focus on bias and ethics.
What D429 covers
The course provides an overview of critical terminology and key concepts for AI, exploring its history and evolution, elements of code, and algorithmic approaches to AI, presenting topics of bias, ethical issues, and security concerns.
Contextualized examples let students see these concepts in professional scenarios — identifying issues within code, understanding AI design steps, and understanding features/limitations/benefits across AI applications.
The D429 performance assessment
Expect a performance assessment requiring you to analyze an AI application for bias, ethical, or security issues and propose mitigations grounded in the course's algorithmic and ethical frameworks.
Key topics in D429
- AI history and evolution
- Algorithmic approaches to AI
- Bias and ethical issues in AI
- Security concerns in AI systems
Writing tips for D429
Follow the task instructions and rubric line by line
WGU performance assessments for D429 are graded against a fixed rubric — every rubric line has to be visibly addressed, usually with a labeled heading that mirrors the rubric language. Skipping a rubric point because it seems minor is the single most common reason a competent submission comes back "Not Yet Competent" for revision.
Show your work: code, reasoning, and test results, not just a final answer
WGU evaluators are trained to distinguish genuine technical work from a paraphrased summary. Include your actual code, algorithmic reasoning, and test/benchmark results, not just a description of what you built — a rubric checking technical competency wants to see the artifact and the thinking behind it.
Because WGU is self-paced, don't let "no deadline pressure" become no submission
There's no weekly due date forcing progress, which means procrastination costs more at WGU than at a traditional term-based school — a stalled task can quietly eat weeks of a term. Treat your own target date for each D429 assessment as a real deadline.
Stuck on your D429 task?
Our writers know WGU's competency-based format and this course's performance assessment. Get an original, properly cited paper matched to your task instructions.
Why students seek help with D429
Students sometimes focus purely on the technical AI approach without the bias/ethics/security analysis the course specifically requires — a complete response addresses both the technical and ethical dimensions.
How GradeEssays helps with D429
Share your AI application scenario and rubric, and your writer will build both the technical algorithmic analysis and the bias/ethics/security evaluation together.
Get Help With D429
Share your task instructions and rubric and we match you with a writer who knows this course and WGU's evaluation standards.
Place Your Order View All ServicesPrerequisites and program context
D429 has no listed additional prerequisites and leads directly into Artificial Intelligence Optimization for Computer Scientists (D682).
- Bachelor of Science, Computer Science
- Bachelor of Science, Computer Science (BSCS to MSCS)