COURSE UNIT TITLE

: GIS FOR ENGINEERS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ETE 3014 GIS FOR ENGINEERS ELECTIVE 2 0 0 4

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ORHAN GÜNDÜZ

Offered to

Industrial Engineering
Electrical and Electronics Engineering
Computer Engineering
Textile Engineering
Mechanical Engineering
Geological Engineering
Geophysical Engineering
Mining Engineering
Metallurgical and Materials Engineering
Environmental Engineering
Mining Engineering
Geological Engineering
Mechanical Engineering

Course Objective

To give the skill necessary to create, display and analyze spatial data that are used in the solution of complex planning and management problems, to demonstrate examples from different engineering fields that use such data and to teach the use of geographic information system software.

Learning Outcomes of the Course Unit

1   Has knowledge for map reading
2   Prepares, querries and analyses spatial and non-spatial data
3   Utilizes cartographic, data base and analytical capabilities of GIS
4   Conducts GIS applications in different engineering fields
5   Uses GIS software

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Desciption of the course, Details about lab and software use
2 Introduction to geographic information systems
3 Fundamental map knowledge
4 Fundamentals of spatial data and data types
5 Demonstration on the software package to be used during the course
6 Display of spatial data
7 Creation of spatial data
8 Processing of spatial data
9 Presentation of spatial data
10 Midterm exam
11 Spatial analysis-1
12 Spatial analysis-2
13 Applications from different engineering fields-1
14 Applications from different engineering fields-2

Recomended or Required Reading

Coğrafi Bilgi Sistemleri - Temel Kavramlar ve Uygulamalar
Prof. Dr. Tahsin Yomralıoğlu
Akademi Kitabevi

Getting to Know ArcGIS Desktop
Tim Ormsby, Eileen Napoleon, Robert Burke, Carolyn Groessl, Laura Bowden
ESRI Press

Spatial Information and the Environment
Peter Halls
CRC Press

Planned Learning Activities and Teaching Methods

Lecture presentations, computer applications during class, homework-project

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 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.25 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Three homeworks will be given to prepare, querry, analyze and evaluate spatial data. Midterm and final exams will be conducted in the computer lab with hands on application.

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Attendance to lectures is a must. Homeworks will be turned in before the lecture.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Orhan GÜNDÜZ
Department of Environmental Engineering
Room No: A-115
Phone: 3017141
Fax: 4531143
E-mail: orhan.gunduz@deu.edu.tr

Office Hours

Mondays 7-8

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Lectures 14 2 28
Lectures 13 2 26
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Preparing assignments 1 12 12
Preparing presentations 1 2 2
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Preparing assignments 1 12 12
Preparing presentations 1 2 2
Preparations before/after weekly lectures 13 1 13
Preparing assignments 3 4 12
Preparation for midterm exam 1 4 4
Preparation for final exam 1 5 5
Final 1 2 2
Midterm 1 2 2
Final 1 2 2
Midterm 1 2 2
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 220

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.144
LO.235
LO.3425
LO.4353
LO.55