Information Package

Master of Science in Civil Engineering with Thesis (English)

CE567

STOCHASTIC METHODS IN GEOTECHNICAL ENGINEERING

Course Code
CE567
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Explain probabilistic and statistical concepts used in geotechnical engineering,
  2. Model soil uncertainty and spatial variability using stochastic methods,
  3. Apply reliability and Monte Carlo simulation techniques to geotechnical problems,
  4. Evaluate geotechnical systems using probabilistic and reliability-based design approaches.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThe use of stochastic methods in geotechnical engineering, conveying fundamental information, and the application of stochastic methods in geotechnical engineering, which is a current topic. Applied design projects.
Course Contents
WEEK TOPICS
1st Week Introduction to Stochastic Methods in Geotechnical Engineering
2nd Week Basics of Probability and Statistics for Engineers
3rd Week Random Variables and Probability Distributions
4th Week Uncertainty in Soil Properties
5th Week Spatial Variability of Soils
6th Week Random Field Theory in Geotechnics
7th Week Reliability Concepts in Geotechnical Engineering
8th Week Midterm
9th Week Monte Carlo Simulation Methods
10th Week Stochastic Modeling of Soil Parameters
11th Week Probabilistic Slope Stability Analysis
12th Week Reliability-Based Design in Geotechnics
13th Week Stochastic Simulation of Geotechnical Systems
14th Week Application of Stochastic Methods in Engineering Projects
15th Week Term Project Presentations
Recommended or Required Reading1. Probabilistic Methods in Geotechnical Engineering, Gordon Fenton, ASCE, 1996.
2. Benjamin, J., Cornell, C., Probability, Statistics, and Decision for Civil Engineers, McGraw Hill Book Company, 1970.
3. Shinozuka, M., Deodatis, G., Simulation of Stochastic Processes by Spectral Representation, Applied Mechanics Review, ASME, Vol.44, (191-203), 1991.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 10
Quiz 1 20
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 1 50 50
Individual or group work 14 3 42
Preparation for Final exam 1 80 80
Course hours 14 3 42
Preparation for Midterm exam 1 60 60
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 20 20
Quiz 1 2 2
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X
K2 X X X X
K3 X X
K4 X X X X
K5 X X
K6
K7
K8
K9
K10 X
K11