MD042 Algorithm Producing Technics in Computer and Application to Mining Problems

6 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code MD042
Name Algorithm Producing Technics in Computer and Application to Mining Problems
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. AHMET DAĞ


Course Goal / Objective

To enable the students to have the theoretical knowledge of algorithm development and to gain the ability to implement all the steps required to solve a problem on the computer.

Course Content

Algorithm producing technics which will be used in open and closed enterprises, describing and analysis of problem, determination of solutions to problem and selection of optimum alternative, forming flow chart for developed algorithm and application examples.

Course Precondition

None

Resources

1)Robert Sedgewick, Algorithms,

Notes

Ahmet Dağ, Lecture Notes (Unpublished)


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows the concepts related to algorithm.
LO02 Knows the algorithms used in mining.
LO03 Knows the steps required to solve a problem on the computer.
LO04 Determines the stages of solution to any problem of mining.
LO05 Drawing flow chart of algorithm.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Uses the mathematics, science, and engineering knowledge gained in undergraduate education in the advanced solution of mining engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Have advanced theoretical and applied knowledge in the fields of mining engineering. 4
PLO03 Bilgi - Kuramsal, Olgusal Learns to independently conduct scientific and technical research on all subjects, including the field of specialization. 4
PLO04 Beceriler - Bilişsel, Uygulamalı Gains the ability to transfer scientific and social values to others at every stage of works. 2
PLO05 Beceriler - Bilişsel, Uygulamalı Have the ability to prepare projects related to the working subjects of mining engineering. 4
PLO06 Beceriler - Bilişsel, Uygulamalı Have the ability to define, formulate and solve problems related to mining engineering at an advanced level. 5
PLO07 Beceriler - Bilişsel, Uygulamalı Have the awareness of lifelong learning for professional development.
PLO08 Beceriler - Bilişsel, Uygulamalı Have the ability to work independently, team work, and interdisciplinary. 3
PLO09 Yetkinlikler - Alana Özgü Yetkinlik Uses modern engineering, computer modeling and simulation tools in the development of mining engineering projects and solving advanced engineering problems. 5
PLO10 Yetkinlikler - Öğrenme Yetkinliği Gains systematic thinking and problem solving abilities with the in-depth knowledge gained in the field of Mining Engineering. 4
PLO11 Yetkinlikler - Öğrenme Yetkinliği Have the ability to use the in-depth knowledge gained in the field of Mining Engineering in interdisciplinary studies. 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği Gains the ability to define a problem that requires expertise in the field of Mining Engineering. 5
PLO13 Yetkinlikler - Öğrenme Yetkinliği Gains the professional and ethical responsibility of mining engineering.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Comprehends the universal and social effects of mining engineering applications. 2
PLO15 Yetkinlikler - Öğrenme Yetkinliği Have the ability to evaluate projects related to the study subjects of mining engineering. 2
PLO16 Yetkinlikler - Öğrenme Yetkinliği Gains the ability to interpret the results obtained in the solution of a problem that requires expertise in the field of Mining Engineering. 3


Week Plan

Week Topic Preparation Methods
1 Algorithm and related concepts Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Algorithm using in mining Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Algorithm using in mining and applications Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Describing of problem Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Analysis of problem Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Analysis of the problem and examples Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Stage of problem solution Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Written examination Ölçme Yöntemleri:
Yazılı Sınav
9 Stage of problem solution and applications Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Drawing flow chart of algorithm Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Drawing applications of algorithm flowchart Document reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Application examples-1 Document reading Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Application examples-2 Document reading Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 Application examples-3 Document reading Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Application examples-4 Document reading Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Written examination Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 14.05.2024 12:56