MHKD237 Computer Based Map ProductionIstanbul Okan UniversityDegree Programs Survey And CadastreGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Survey And Cadastre
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MHKD237
Course Name: Computer Based Map Production
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. BAYRAM KILINÇ
Course Lecturer(s): Öğr.Gör. SEMİH YILDIZ
Öğr.Gör. BAYRAM KILINÇ
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to use the software in accordance with the map production techniques in our country, and mostly used in local and central government programs are used as a NetCad program is shown by weight. In addition, other software is introduced in general.
Course Content: Before starting the construction of the map in the course, raster processing, coordinate and file properties set; it is important to develop objects by creating objects, preparing texts, and applying layers.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Define and use classical map drawing techniques.
2 - Skills
Cognitive - Practical
1) To introduce the principles of general use of computer aided map production software
2) Producing maps in Netcad program.
3 - Competences
Communication and Social Competence
Learning Competence
1) Identify and use the techniques and principles of large scale map drawing.
Field Specific Competence
1) Distinguishes software and defines general usage characteristics
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Classical map drawing, Polar and Prismatic measurements manual drawing Lecture Notes
2) Drawing of curve curves. Removing cross section and section cross section from sheet. Lecture Notes
3) Fundamentals of computer aided drawing, CAD program structure and design technique Lecture Notes
4) Main commands in project, draw, edit, query and other menus Lecture Notes
5) Layer concept, coloring and naming of layers. Lecture Notes
6) Coordinate input, dimensioning of drawings, grid formation Lecture Notes
7) Digitization, normal and standard layout opening Lecture Notes
8) Midterm Exam
9) Reconstruction of polar and prismatic measurements (CAD) in CAD programs, Account Menu Lecture Notes
10) Printing of coordinated summary chart, symbols, writing and marking on drawings, scale drawing technique Lecture Notes
11) Projection operations, data transfer to Google Earth Lecture Notes
12) Formation of squares, writing edge information, polar and orthogonal coordinates, Lecture Notes
13) Triangulation and linear interpolation between detail points, Drawing of curve curves Lecture Notes
14) Cross-sectional and longitudinal section drawing, Cubage calculation Lecture Notes
15) Final Exam
16) Final Exam

Sources

Course Notes / Textbooks: Ders notları
References: Hoca ders notu

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

5

3

4

Program Outcomes
1) He/she knows main topics about profession with also has knowledge and awareness about social resposibility, ethical values and princibles of profession.
2) He/she has knowledge about basic mathematichal computing and problem solving about the issues of profession.
3) He/ she has knowledge about algorithm, basic programming, data structures and types, database management systems spatial database for operation of the software which are required by profession.
4) He/she has knowledge about all measurement, calculation, and exercising in the fields of survey and cadastre.
5) He/she has knowledge about legislation, ability of follow the changes and has command of the process in the fields of survey and cadastre.
6) He/she has ability to use technological tools and programs, know working and scientific principles of these technology that existed in profession area
7) He/she knows main topics, expertising, legislation and urban reneval issues about real estate.
8) He/she has command of application all kinds of engineering project to area.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) He/she knows main topics about profession with also has knowledge and awareness about social resposibility, ethical values and princibles of profession. 3
2) He/she has knowledge about basic mathematichal computing and problem solving about the issues of profession. 5
3) He/ she has knowledge about algorithm, basic programming, data structures and types, database management systems spatial database for operation of the software which are required by profession. 5
4) He/she has knowledge about all measurement, calculation, and exercising in the fields of survey and cadastre. 4
5) He/she has knowledge about legislation, ability of follow the changes and has command of the process in the fields of survey and cadastre. 4
6) He/she has ability to use technological tools and programs, know working and scientific principles of these technology that existed in profession area 4
7) He/she knows main topics, expertising, legislation and urban reneval issues about real estate. 4
8) He/she has command of application all kinds of engineering project to area. 4

Learning Activity and Teaching Methods

Individual study and homework
Lesson
Lab
Problem Solving
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application
Individual Project
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 10 30
Homework Assignments 7 28
Midterms 2 12
Final 3 24
Total Workload 136