CIVILEN 2050
Transcript Abbreviation:
Civ/Env Prb & Data
Course Description:
Fundamentals of probability and statistical analysis for applications and data interpretation in Civil and Environmental Engineering design and analysis.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Required
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits:
3.00
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: Enrollment in CivilEn or EnvEng major.
Electronically Enforced:
No
Exclusions:
(N/A)
Course Goals / Objectives:
Be skilled in the mathematics and interpretation of basic probability and statistics
Be able to represent Civil and Environmental Engineering problems in probabilistic terms
Understand the concept of Monte Carlo simulation and be able to generate discrete distributions of random variables using Monte Carlo simulation for some Civil and Environmental Engineering problems
Be able to effectively communicate analysis, results, and conclusions in written form
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| (1)Fundamentals of mathematical probability: events, Venn diagrams, intersections and unions, conditional probability, joint probability, probabilistic independence, Bayes theorem, discrete and continuous distributions | 15.0 | 0.0 | 0 | 0.0 | 0 |
| (2) Fundamentals of descriptive statistics: measures of central tendency and dispersion; moments of distributions | 6.0 | 0.0 | 0 | 0.0 | 0 |
| (3) Selected probability distributions: Bernoulli, binomial, geometric, Poisson, exponential, normal, log-normal | 6.0 | 0.0 | 0 | 0.0 | 0 |
| (4)Fundamentals of Monte Carlo simulation | 10.0 | 0.0 | 0 | 0.0 | 0 |
| (5) Documenting and communicating numerical analysis | 5.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Aggregate of assignments | 25% |
| Exam 1 | 25% |
| Exam 2 | 25% |
| Exam 3 | 25% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Course Notes | Instructor |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info: