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:

Course Requisites:

Does the Course Require Work Experience?:

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):

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