Applied Algorithms and Reasoning builds directly on foundational algorithm design, but at a genuinely rigorous, benchmarking-driven level — measuring and optimizing performance, not just achieving correctness.
What D795 covers
The course builds on algorithm design and optimization for efficient resource utilization, emphasizing benchmarking algorithms, reasoning, and applying Big O notation for performance evaluation.
Practical applications involve testing data structures, developing algorithmic solutions, and optimizing performance through critical analysis, using benchmarking and profiling tools to measure and enhance performance.
The D795 performance assessment
Expect a performance assessment requiring you to benchmark and optimize an algorithm's performance using profiling tools and Big O analysis, documenting the improvement achieved.
Key topics in D795
- Algorithm benchmarking
- Big O notation for performance evaluation
- Profiling and optimization tools
- Computational thinking and engineering principles
Writing tips for D795
Follow the task instructions and rubric line by line
WGU performance assessments for D795 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 D795 assessment as a real deadline.
Stuck on your D795 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 D795
Students sometimes report Big O complexity theoretically without actually benchmarking real performance with profiling tools — the course wants both the theoretical analysis and empirical benchmarking demonstrated together.
How GradeEssays helps with D795
Share your algorithm scenario and rubric, and your writer will build both the theoretical Big O analysis and genuine benchmarking/profiling results.
Get Help With D795
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
D795 has no listed additional prerequisites.
- Bachelor of Science, Computer Science (BSCS to MSCS)
- Master of Science, Computer Science, Artificial Intelligence and Machine Learning
- Master of Science, Computer Science, Human-Computer Interaction