Advanced Methodologies in Drainage

Course Information
TitleΣΥΓΧΡΟΝΕΣ ΜΕΘΟΔΟΛΟΓΙΕΣ ΣΤΡΑΓΓΙΣΕΩΝ / Advanced Methodologies in Drainage
FacultyAgriculture, Forestry and Natural Environment
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
Course ID420000890

Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
General Prerequisites
Students should be familiar with basic principles of Hydraulics, Drainage of Agricultural Land
Learning Outcomes
Upon completion of this course, students will be able to: 1. to understand the mathematical description of drainage problems 2. to use numerical methods for the solution of the equations which govern drainage problems 3. to understand the basic principles in designing and programming drainage models
General Competences
  • Apply knowledge in practice
  • Adapt to new situations
  • Work autonomously
  • Work in an interdisciplinary team
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Numerical solutions of Boussinesq equation. Finite difference and finite element computational schemes. Computation of two-dimensional steady and unsteady flow towards drains. Study of flow in the immediate vicinity of a drain pipe (envelope and soil). Computation of saturated – unsaturated flow towards drains. Applications to drainage problems of irrigated lands. Drainage for salinity control. Applications of approximate mathematical models for drainage simulation.
Drainage models
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
Software for drainage simulation
Course Organization
Written assigments
Student Assessment
Written exams (50%) and evaluation of written assignment (50%)
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
  • Written Exam with Problem Solving (Summative)
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