COURSE UNIT TITLE

: APPLICATIONS OF LASER SCANNING IN MINING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MIN 5102 APPLICATIONS OF LASER SCANNING IN MINING ELECTIVE 2 2 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR AHMET HAMDI DELIORMANLI

Offered to

Mining Operation
Mining Operation
Mining Operation

Course Objective

List, describe, and compare the advantages and disadvantages of the laser scanning techniques. Generate and analyze of point cloud data. Apply the laser scanning techniques in mining.

Learning Outcomes of the Course Unit

1   Definition of laser scanning techniques
2   Application fields of laser scanning techniques
3   To be knowledgeable about the use of laser scanning techniques
4   To be able to analyze of point cloud data
5   To be able to get transformation geometry from point cloud data
6   To be knowledgeable about the use of laser scanning techniques in mining
7   To be able to managed the laser scanning operation in mining fields

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Laser scanning techniques
2 Fundamental laser scanning techniques
3 physical and geometric principles of laser techniques
4 Type of laser scanner
5 3D terrestrial laser scanner
6 triangle algorithm
7 scanning geometry
8 steps of terrestrial laser scaning
9 Transformation geometry
10 Integration Of Laser Scanning and Photogrammetry
11 Applications of terrestrial laser scanning in open pit mines
12 Applications of terrestrial laser scanning in underground
13 Presentation of assigment
14 Presentation of assigment

Recomended or Required Reading

Mather, P. M., 1999. Computer Processing of Remotely- Sensed Images. Second edition. John Wiley -Sons Ltd. England.
Kraus, K., 2007. Fotogrametri, Fotoğraflardan ve Lazer Tarama Verilerinden Geometrik Bilgiler, Çeviri, ITÜ.
http://www.lidarmap.org/ , http://www.fergi-online.de/

Planned Learning Activities and Teaching Methods

Lectures, field studies, assigments

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 * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Mid term exams includes; LO1-LO4
Assigments include;LO4-LO7
Final exam includes; LO1-LO7

Language of Instruction

Turkish

Course Policies and Rules

Lecture and practical exercises will be employed

Contact Details for the Lecturer(s)

ahmet.deliormanli@deu.edu.tr

Office Hours

Tuesday; 1 pm-2:30pm

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 12 12
Preparation for final exam 1 20 20
Preparing assignments 2 25 50
Preparing presentations 1 19 19
Final 1 2 2
Midterm 1 2 2
Quiz etc. 2 2 4
TOTAL WORKLOAD (hours) 207

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.154311421131
LO.241113411213
LO.355411135511
LO.435541415541
LO.514455454544
LO.615555445444
LO.755555445444