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B.Eng DegreeFaculty of Faculty of Engineering & TechnologySoftware Engineering
SWE 104: Probability, Statistics & Empirical Methods for Computing
Probability theory, random variables, discrete and continuous probability distributions (Binomial, Poisson, Normal, Exponential), expected values, hypothesis testing, confidence intervals, p-values, linear regression, ANOVA, and empirical measurement...
Course Overview
Probability theory, random variables, discrete and continuous probability distributions (Binomial, Poisson, Normal, Exponential), expected values, hypothesis testing, confidence intervals, p-values, linear regression, ANOVA, and empirical measurement... Curriculum Structure &...
What You'll Learn
- Model software failure distributions and arrival rates using Poisson and Exponential probability models.
- Calculate and interpret latency percentiles (p50, p95, p99) and summary statistics on server performance data.
- Formulate and evaluate statistical hypothesis tests (t-tests, chi-square, ANOVA) for A/B testing and software benchmarks.
- Fit linear and logistic regression models to predict software defect density based on code complexity metrics.
- Design empirical software engineering experiments with controlled variables and statistical power.
Requirements
- SWE 105
Degree Programme Curriculum Context
This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Software Engineering degree framework in Nigeria.
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Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•0 Lecture
•0s
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
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Free
Course Includes
8 Chapters
0 Lectures
1 week
Skill Level beginner
Taught in English
Lifetime Access
Certification of Completion
Category: University - Software Engineering
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