• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CIE 5002 ENGINEERING ANALYSIS ELECTIVE 3 0 0 9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ÖZGÜR ÖZÇELIK

Offered to

STRUCTURAL ENGINEERING GEOTECHNICAL ENGINEERING (ENGLISH) Structural Engineering STRUCTURAL ENGINEERING Geotechnicel Engineering (English) GEOTECHNICAL ENGINEERING (ENGLISH)

Course Objective

This course is intended to provide you with computational techniques in engineering applications. The course covers problem formulation, mathematical modelling, numerical methods and computer implementation.

Learning Outcomes of the Course Unit

1   Providing skills to use applied mathematics techniques to solve engineering problems. 2   Being able to matematically model problems encountered within different fields of civil engineering. 3   Being able to choose the most convenient methods to solve the mathematical models. 4   Being able to program numerical techniques to solve the mathematical models, being able to use modern solution techniques. 5   Being able to analyse and synthesize results obtained using different solution techniques.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Matlab 2 Introduction to Simulink 3 Various types of differential equations 4 Wave equation, Assignment 5 Heat equation, Assingment solution submission 6 Second-order ordinary differential equations, assignment 7 Problem Solving Session - 1 8 Fourier series, transforms and their applications to engineering problems, Assingment solution submission 9 Discrete Fourier transform and its application to engineering problems, assignment 10 Laplace transform and Simulink applications, Assingment solution submission 11 Problem Solving Session - 2 12 Lineer Algebra 13 Finite Element Formulation, Strong and Weak Forms, assignment 14 Project Presentations

Recomended or Required Reading

Textbook(s): Mathematical Analysis of Engineering Systems, Sen, M., University of Notre Dame Press, 2008. Supplementary Book(s): Handouts given during class hours.

Planned Learning Activities and Teaching Methods

Presentations given during class hours, other reading assignments, projects and exams.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

LO1-LO5: Projects, midterms and final.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

to be determined

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 4 56 Preparation for midterm exam 1 16 16 Preparation for final exam 1 12 12 Preparing assignments 1 30 30 Preparing presentations 1 60 60 Final 1 4 4 Midterm 1 3 3 TOTAL WORKLOAD (hours) 223

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 5 5 5 5 5 LO.2 5 3 5 5 5 4 3 5 5 LO.3 5 4 4 5 5 4 4 3 LO.4 4 4 5 5 5 4 4 LO.5 3 5 4 4 4 5 3 5 4 5