# APPLIED MATHEMATICS I

 Title ΕΦΑΡΜΟΣΜΕΝΑ ΜΑΘΗΜΑΤΙΚΑ Ι / APPLIED MATHEMATICS I Code 401Υ Faculty Agriculture, Forestry and Natural Environment School Agriculture Cycle / Level 1st / Undergraduate, 2nd / Postgraduate Teaching Period Winter/Spring Common No Status Active Course ID 420001354

 Academic Year 2018 – 2019 Class Period Winter Faculty Instructors Instructors from Other Categories Class ID 600119690
Type of the Course
• Background
Course Category
General Foundation
Mode of Delivery
• Face to face
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Students should be familiar mathematics.
Learning Outcomes
Upon completion of this course, students will be able to: 1. to understand the mathematics for applied sciences and engineering 2. to handle and solve differential equations ogf the most cources of applied sciences. 3. to apply the analytical solution of differential equations kai to give answers to applied problems. 4. to understand and enhance to applied mathematics and the solution of relevant problems of sciences of hydraulics, irrigation, optimization and environment
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Advance free, creative and causative thinking
Course Content (Syllabus)
Linear and non linear differential equations of 1st, 2nd order. Differentaial equations of 2nd order with variable coefficients. Series Bessel's equation and functions. Fourier series. Systems of equations. Applied problems to agricultural sciences and engineering. Introduction to partial differential equations. Separation of variables, Laplace transformation and similarity methods to solve partial differential equations
Keywords
differential equation, partial differential, analytical solution, applications
Educational Material Types
• Notes
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Description
Teaching, powerpoint, data management and computation as excell
Course Organization
Lectures
Tutorial
Project
Written assigments
Total
Student Assessment
Description
80% written exams 20% individual project assignment (a set of exercises) - Exams .
Student Assessment methods
• Written Exam with Multiple Choice Questions (Formative, Summative)
• Written Exam with Short Answer Questions (Formative, Summative)
• Written Assignment (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
Last Update
06-05-2014