ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
| Explosives Engineering non-thesis | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
General course introduction information
| Course Code: | PAT547 | ||||||||
| Course Name: | Data Collection Analysis Techniques | ||||||||
| Course Semester: |
Spring |
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| Course Credits: |
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| Language of instruction: | TR | ||||||||
| Course Requisites: | |||||||||
| Does the Course Require Work Experience?: | No | ||||||||
| Type of course: | Department Elective | ||||||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||||||
| Course Coordinator : | Dr.Öğr.Üyesi SADETTİN BAĞDATLI | ||||||||
| Course Lecturer(s): |
Dr.Öğr.Üyesi SADETTİN BAĞDATLI |
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| Course Assistants: |
Course Objective and Content
| Course Objectives: | Within the scope of this course, data collection and data analysis methods are taught and it is aimed to collect and evaluate the data of blast excavation. |
| Course Content: | Data collection, data classification, measurement evaluation, statistical analysis, data analysis, data interpretation. |
Learning Outcomes
The students who have succeeded in this course;
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Lesson Plan
| Week | Subject | Related Preparation |
| 1) | Course introduction Data definition | |
| 2) | Data classification | |
| 3) | Data collection methods | |
| 4) | Data analysis techniques | |
| 5) | Data analysis techniques | |
| 6) | Interpretation of analysis results | |
| 7) | Interpretation of analysis results | |
| 8) | Collection of blast excavation data | |
| 9) | Collection of blast excavation data | |
| 10) | Analysis of blast excavation data | |
| 11) | Analysis of blast excavation data | |
| 12) | Analysis of blast excavation data | |
| 13) | Interpretation and optimization of blast data | |
| 14) | Interpretation and optimization of blast data |
Sources
| Course Notes / Textbooks: | Öğretim elemanı notları |
| References: | Modern Database Management Jeffrey A. Hoffer, V. Ramesh, Heikki Topi @2013|Prentice Hall|10th Edition ISBN 0-13-608839-2 Data Mining Concept and Techniques J.Han and M.Kamber @2012| Morgan Kaufmann Publishers ISBN 978-0-12-381479-1 |
Course-Program Learning Outcome Relationship
| Learning Outcomes | 1 |
2 |
3 |
4 |
|---|---|---|---|---|
| Program Outcomes | ||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |
Learning Activity and Teaching Methods
| Field Study | |
| Individual study and homework | |
| Group study and homework | |
| Problem Solving | |
| Project preparation | |
| Report Writing | |
| Case Study |
Assessment & Grading Methods and Criteria
| Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
| Application | |
| Observation | |
| Individual Project | |
| Group project | |
| Reporting |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Application | 1 | % 10 |
| Field Work | 1 | % 20 |
| Project | 2 | % 40 |
| Final | 1 | % 30 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 70 | |
| PERCENTAGE OF FINAL WORK | % 30 | |
| total | % 100 | |
Workload and ECTS Credit Grading
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Application | 1 | 50 | 50 |
| Field Work | 1 | 50 | 50 |
| Project | 2 | 60 | 120 |
| Final | 1 | 50 | 50 |
| Total Workload | 312 | ||