Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | TBİ-23-189 | Data MInIng TechnIques In AgrIcultural Research | Elective | 1 | 3 | 6 |
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Level of Course Unit |
Second Cycle |
Objectives of the Course |
• to teach basic data mining statistical analyses techniques useful for agricultural research
• to teach performing data mining techniques using agricultural data
• to teach how to interpret the results of data mining techniques |
Name of Lecturer(s) |
Doç. Dr. Melekşen AKIN |
Learning Outcomes |
1 | learn main data mining techniques
| 2 | learn how to perform data mining techniques using R software
| 3 | learn how to interpret the outputs of the data mining techniques |
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Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
•Data Mining Techniques in Agricultural Research London |
Weekly Detailed Course Contents |
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1 | Introduction to CHAID data mining technique
| | | 2 | Performing CHAID algorith
| | | 3 | Interpreting CHAID algorithm outputs
| | | 4 | Introduction to CART data mining technique
| | | 5 | Performing CART algorithm using R software
| | | 6 | Interpreting CART algorithm outputs
| | | 7 | Introduction to exhaustive CHAID data mining technique
| | | 8 | Performing exhaustive CHAID algorithm using R software
| | | 9 | Interpreting exhaustive CHAID algorithm outputs
| | | 10 | Introduction to MARS data mining algorithm
| | | 11 | Performing MARS single response algorithm using R software
| | | 12 | Interpreting MARS single response algorithm outputs
| | | 13 | Performing MARS multiple response algorithm using R software
| | | 14 | Interpreting MARS multiple response algorithm outputs
m using R software | | |
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Recommended or Required Reading |
• Nisbet R, Elder J & Miner G (2009) Handbook of statistical analysis and data mining applications. Academic Press, London |
Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | | Work Placement(s) | None |
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Workload Calculation |
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Midterm Examination | 1 | 30 | 30 |
Final Examination | 1 | 30 | 30 |
Discussion | 1 | 30 | 30 |
Writing Paper | 1 | 30 | 30 |
Self Study | 1 | 30 | 30 |
Report | 1 | 30 | 30 |
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Contribution of Learning Outcomes to Programme Outcomes |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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