TÜRKÇE
ENGLISH
Information
| Code | YLTE18 |
| Name | Computer Use in Economic Researchs |
| Term | 2023-2024 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 0 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi CAHİT GÜNGÖR |
| Course Instructor |
1 |
Course Goal / Objective
To introduce students updated softwares to use for summarising and interpreting the data obtained from the studies in the area of agricultural economics.
Course Content
Data sources in Agricultural economics, data analysis techniques, computer softwares for data analysis
Course Precondition
No
Resources
Lecture Notes
Notes
Internet
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | is able to analyze data and interpret the results obtained from the studies in the area of agricultural economics. |
| LO02 | is able to apply statistical analyses techniques using softwares.. |
| LO03 | is able to apply optimization techniques in agricultural economics.. |
| LO04 | is able to apply artificial intelligence techniques in agricultural economics. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Able to further develop and deepen knowledge acquired based on the undergradute level proficiencies in the fields of farm management and agricultural policy | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Able to comprehend interactions among related disciplines and field of agricultural economics | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Able to use theoretical and practical knowledge of agricultural economics in their specialization area | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Able to prepare reports on developments in national economy and agricultural sector; able to critically evaluate historical and actual developments in agriculture and economy; able to observe and interpret economics related publications | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Able to use software widely used in agricultural economics | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Able to combine data of actual developments with his knowledge, data and findings obtained in various disciplines and interpret them while supporting them with qualitative and quantitative data and also forming new knowledge through synthesis | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Ability to take the lead in multidisciplinary teams and work in teams | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Able to critically evaluate specialized knowledge and abilities acquired in agricultural economics and direct his/her own learning process | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Constantly adapt himself to new scientific developments | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Able to use acquired and digested agricultural economics knowledge in multidisciplinary studies, able to explain them, to transfer them to others, able to examine conclusions critically | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Able to transfer research results using verbal, written and visual tools | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Able to collect data according to scientific methods in order to solve economic problems, able to supervise and interprete data collected while taking into consideration social, scientific and ethical values | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Able to develop analytical approaches in order to solve complicated problems that cannot be forecast beforehand in applications of agricultural economics and policy; able to design research process; able to produce solutions by taking on responsibility and to evaluate and justify solutions |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Data sources in Agricultural analysis and softwares | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 2 | Data sort, filter, simple and conditional calculations | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 3 | Clustering data and preparing summary tables | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 4 | Connecting tables, preparing new tables and making calculations | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 5 | Connecting tables, preparing new tables and making calculations (continue) | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 6 | Graphic types and preparing graphics | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 7 | Graphic types and preparing graphics (continue) | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Functions are using in economic analysis | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 10 | Statistical analysis | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 11 | Optimization models and solving the models. | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 12 | Optimization models and solving the models (continue) | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 13 | Artificial intelligence techniques and solving the models. | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 14 | Artificial intelligence techniques and solving the models (continue) | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 15 | Artificial intelligence techniques and solving the models (continue2) | Lecture notes and recommended resources for the relevant sections | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Exam | Ölçme Yöntemleri: Sözlü Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 0 | 0 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 0 | 0 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 0 | 0 |
| Final Exam | 1 | 0 | 0 |
| Total Workload (Hour) | 0 | ||
| Total Workload / 25 (h) | ,00 | ||
| ECTS | 0 ECTS | ||