EPOKA UNIVERSITY
FACULTY OF ARCHITECTURE AND ENGINEERING
DEPARTMENT OF CIVIL ENGINEERING
COURSE SYLLABUS
2024-2025 ACADEMIC YEAR
COURSE INFORMATIONCourse Title: STATISTICAL TECHNIQUES IN HYDROLOGY |
Code | Course Type | Regular Semester | Theory | Practice | Lab | Credits | ECTS |
---|---|---|---|---|---|---|---|
CE 452 | C | 1 | 2 | 2 | 0 | 3 | 7.5 |
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) | Assoc.Prof.Dr. Mirjam Ndini mndini@epoka.edu.al |
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | Assoc.Prof.Dr. Mirjam Ndini mndini@epoka.edu.al , Thursday 10:00-12:30 |
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | NA |
Language: | English |
Compulsory/Elective: | Elective |
Study program: (the study for which this course is offered) | MSc in Civil Engineering, Profile: Structural Engineering |
Classroom and Meeting Time: | A-127. 17:00-20:00 |
Teaching Assistant(s) and Office Hours: | NA |
Code of Ethics: |
Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline" |
Attendance Requirement: | |
Course Description: | Introduction to probability and statistics applications in hydrology: random variables and their statistical properties, commonly used probability distributions in hydrology. Statistical analysis of hydrologic data: frequency analysis, hypothesis testing, analysis of variance. Hydrologic time series analysis and forecasting. |
Course Objectives: | Concept of probability and statistics is very important to solve various civil engineering problems. In this course, basic probability concept and different probabilistic models will be discussed to educate the students about the vital role of such methods in civil engineering. Concept and definition of random variables and different functions o f random variables will be covered in the initial part of the course. Both univariate and multivariate functions will be discussed. This course is planned to fill the gap between statistics, engineering hydrology and water resources engineering and other technical elective courses offered in the field of hydro systems with real world data exercises and examples. |
BASIC CONCEPTS OF THE COURSE
|
1 | Basic Concepts of Probability and Statistics |
2 | Basic Statistical Properties of Data |
3 | Probability Distributions and Their Applications |
4 | Frequency Analysis, Risk, and Uncertainty in Hydroclimatic Analysis |
5 | Hypothesis Testing and Nonparametric Test |
6 | Regression Analysis and Curve Fitting |
7 | Time Series Analysis |
COURSE OUTLINE
|
Week | Topics |
1 | Introduction: Role of Probability in Civil Engineering Problems; Examples. |
2 | Techniques for Time Series Analysis-Statistical Characteristics of Hydrologic Time Series |
3 | Methods for Testing Normality of Hydrologic Time Series-Graphical Methods |
4 | Statistical Methods |
5 | Methods for Time Series Analysis-Methods for Checking Homogeneity-Methods for Checking Stationarity |
6 | Methods for Detecting Trend |
7 | Application of Time Series Analysis in Surface Water Hydrology |
8 | PMF PDF, CDF; Moments and expectations. |
9 | Functions of Random Variables: Definition of probability distributions of functions of single random variables - |
10 | Correlation and regression analysis(6hours)exact methods and approximate methods; Moments and expectations of functions - direct and indirect methods. |
11 | Efficacy of Time Series Tests: A Critical Assessment |
12 | Frequency analysis .Flood forecasting |
13 | Assignment |
14 | Assignment |
Prerequisite(s): | Introduction to hydrology CE 240 Statistic and probability MTH 205 |
Textbook(s): | Fundamentals of Statistical Hydrology - Mauro Naghettini Statistical Methods in Hydrology and Hydroclimatolog-Rajib Maity Selected Statistical Methods - National Engineering Handbook |
Additional Literature: | Hydrologic Probability and Statistics Joseph V. Bellini, PE, PH, DWRE, CFM-2020 Statistical Analysis of Hydrologic Variables-Methods and Applications- ASCE- 2019; Ramesh S. V. Teegavarapu, Ph.D., P.E. Jose D. Salas, Ph.D. Jery R. Stedinger, Ph.D. |
Laboratory Work: | |
Computer Usage: | excel and word |
Others: | No |
COURSE LEARNING OUTCOMES
|
1 | Students will be familiar with the concept of probability and statistics to solve various civil engineering problems. |
2 | identify statistical tools that can be used to handle large amounts of data |
3 | Introduce the students to the concepts of probabilistic treatment of hydrological variables. they will know to use the probability distributions functions in civil engineering. |
4 | the students will have the ability to master the most common statistical techniques used in hydrology carry out a time-series analysis |
5 | compute design floods and hydrological extremes |
6 | Develop the background needed for performing frequency analysis |
7 | Familiarize students with flood forecasting |
8 | Enhance the students’ writing and oral presentation skills |
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution) |
No | Program Competencies | Cont. |
MSc in Civil Engineering, Profile: Structural Engineering Program | ||
1 | an ability to apply knowledge of mathematics, science, and engineering | 4 |
2 | an ability to design a system, component, or process to meet desired needs | 4 |
3 | an ability to function on multidisciplinary teams | 3 |
4 | an ability to identify, formulate, and solve engineering problems | 5 |
5 | an understanding of professional and ethical responsibility | 4 |
6 | an ability to communicate effectively | 3 |
7 | the broad education necessary to understand the impact of engineering solutions in a global and societal context | 4 |
8 | a recognition of the need for, and an ability to engage in life long learning | 3 |
9 | a knowledge of contemporary issues | 5 |
10 | an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | 4 |
11 | skills in project management and recognition of international standards and methodologies | 3 |
COURSE EVALUATION METHOD
|
Method | Quantity | Percentage |
Homework |
5
|
5
|
Presentation |
2
|
5
|
Project |
1
|
40
|
Case Study |
1
|
25
|
Total Percent: | 100% |
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
|
Activities | Quantity | Duration(Hours) | Total Workload(Hours) |
Course Duration (Including the exam week: 16x Total course hours) | 16 | 4 | 64 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 4 | 64 |
Mid-terms | 0 | ||
Assignments | 5 | 4 | 20 |
Final examination | 1 | 20 | 20 |
Other | 1 | 19.5 | 19.5 |
Total Work Load:
|
187.5 | ||
Total Work Load/25(h):
|
7.5 | ||
ECTS Credit of the Course:
|
7.5 |
CONCLUDING REMARKS BY THE COURSE LECTURER
|
Course communication: Discussion during classes. Office hours at A-211. E-mail for questions regarding course: mndini@epoka.edu.al (Ensure that CE 341 is in the subject line. Failure to do so may result in a non-response.) All members of the class are expected to follow rules of common courtesy in all classroom discussions, email messages, threaded discussion and chats. |