Presents the full 15-week course schedule for EGN3443, detailing weekly topics from introductory probability and statistics concepts through advanced engineering applications, giving learners and instructors a semester-long roadmap.
Topics
This module covers 4 topics. Open a topic to see its subtopics.
- Topic 1Welcome and Course Introduction
- Topic 2Getting Started Guide
- Topic 3Course Expectations and Requirements
- Topic 4Navigating the Learning Platform
All topics, subtopics and materialsStudent learning outcomes
Module Content
4 items of 3 types: Topic Overview, Reading, Assignments. Your instructor made most of them with CourseBuilder+, a program that uses AI to draft course material; each type says how its items were made.
Module Content — Topic Overview (1)
A short overview of the module's topics — a place to start, or to review. Drafted with AI from the module's topics and subtopics.
Module Content — Reading (2)
Reading for this module: drafted with AI from the module's topics, or brought in from the course's own files.
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Provides a standardized report template with required sections (title, name, date, introduction, problem statement, etc.) that students must follow when formatting and submitting all course assignments.
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Introduces the two required software tools for the course—R and Python—explaining installation and online access options so students can set up their programming environment for statistical analysis work throughout the semester.
Assignments (1)
Work to hand in, each with its instructions and how it is assessed. Drafted with AI for the module's learning outcomes.
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A Week 1 discussion assignment prompting students to introduce themselves by sharing their name, background, major, work experience, and prior knowledge relevant to the course, intended to build classroom community.