GMT757 - NETWORK ANALYSIS IN GEOGRAPHIC INFORMATION SYSTEMS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
NETWORK ANALYSIS IN GEOGRAPHIC INFORMATION SYSTEMS GMT757 Any Semester/Year 3 0 3 10
Prequisites-
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Drill and Practice
Other: Homework  
Instructor (s)Assoc. Prof. Dr. Berk AnbaroÄŸlu 
Course objectiveThe course aims to give the students the basic theoretical and practical knowledge on network analyses with geospatial data in order to make better strategic decisions for public and private services.  
Learning outcomes
  1. A student who successfully finishes the course:
  2. gain ability to manage spatial analyses with more accurate results by using Network distances,
  3. defines and creates different network dataset models in order to find out best routes,
  4. perform network analyses using traffic data.
Course ContentNetwork Dataset and Attributes. Network Elements and Connectivity. Turns in the network dataset. Network Directions. Editing Network Datasets. Traffic Data. Route Analyses: Finding Best Route, Closest Facility, Service Area and similar applications. Vehicle Routing Problem Analyses. Hierarchy in Network Analyses. Analysis in 3D network datasets. 
References- Spatial Analysis and Geo-Computation., Fischer, Manfred M., 2006.
- Spatial Analysis along Networks: Statistical and Computational Methods., Atsuyuki Okabe, Kokichi Sugihara., 2012
- Geospatial Analysis., Smith D, Longley G., 2015
- The ESRI Guide to GIS Analysis Volume 1: Geographic Patterns & Relationships., Andy Mitchell., 2001 

Course outline weekly

WeeksTopics
Week 1Network Dataset and Attributes
Week 2Network Elements and Connectivity
Week 3Turns in the network dataset
Week 4Network Directions
Week 5Editing Network Datasets
Week 6Midterm Exam
Week 7Traffic Data
Week 8Route Analyses: Finding Best Route
Week 9Closest Facility, Service Area and similar Applications
Week 10Closest Facility, Service Area and similar Applications
Week 11Vehicle Routing Problem Analyses
Week 12Midterm Exam
Week 13Hierarchy in Network Analyses
Week 14Analysis in 3D network datasets
Week 15Preparation for the final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments510
Presentation110
Project110
Seminar00
Midterms220
Final exam150
Total100
Percentage of semester activities contributing grade succes950
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation12020
Project11010
Homework assignment5630
Midterms (Study duration)21530
Final Exam (Study duration) 12020
Total Workload3884292

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Advances contemporary knowledge in the field of geomatics engineering based on novel thinking and research.    X
2. Possesses creative and critical thinking, problem solving, and decision making abilities.    X
3. Conducts a thorough novel research from scratch independently.   X 
4. Acquires interdisciplinary knowledge of common terminology and joint working culture.   X 
5. Cooperates with national and international scientific research groups.    X
6. Attains the capacity to publish an international peer-reviewed journal manuscript.     X
7. Maintains ethical responsibility.    X 
8. Obtains the skills to teach undergraduate and graduate level courses offered in geomatics engineering.   X 
9. Conducts verbal-written communication, surveys the literature, and prepares thesis in advanced level English.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest