Main Page     Information on the Institution     Degree Programs     General Information for Students     Türkçe  

 DEGREE PROGRAMS


 Associate's Degree (Short Cycle)


 Bachelor’s Degree (First Cycle)


 Master’s Degree (Second Cycle)

  Course Description
Course Name : Using Computers in Economic Researches

Course Code : TE-507

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Asst.Prof.Dr. CAHİT GÜNGÖR

Learning Outcomes of the Course : Able to analyze and interpret datas gathered from the studies about agricultural economics

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : TE-541 Analysis of Agricultural Policies

Recommended Optional Programme Components : None

Aim(s) of Course : Demonstrate softwares for interpretation, summarization and analyze of datas that have obtained from the studies in Agricultural Economy.

Course Contents : Data sources in Agricultural Economics, techniques and softwares can be used for data analyze.

Language of Instruction : Turkish

Work Place : Class


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Data sources in Agricultural Economics and updated sofware sources for data analyze Lecture notes and recommended resources relevant sections
2 Data ascending, filtering, simple and conditional calculations Lecture notes and recommended resources relevant sections
3 Classification datas, preparing summary tables Lecture notes and recommended resources relevant sections
4 Using the connections between tables and preparing new tables with the calculations Lecture notes and recommended resources relevant sections
5 Using the connections between tables and preparing new tables with the calculations (cont’d) Lecture notes and recommended resources relevant sections
6 Graphic types and preparing graphics Lecture notes and recommended resources relevant sections
7 Graphic types and preparing graphics (cont´d) Lecture notes and recommended resources relevant sections
8 Functions can be used in economical analyzes Lecture notes and recommended resources relevant sections
9 Statistical Analyzes Lecture notes and recommended resources relevant sections
10 Statistical Analyzes (Cont´d) Lecture notes and recommended resources relevant sections
11 Statistical Analyzes (Cont´d) Lecture notes and recommended resources relevant sections
12 Preparing optimization models and interpretations Lecture notes and recommended resources relevant sections
13 Preparing optimization models and interpretations (Cont´d) Lecture notes and recommended resources relevant sections
14 Artificial Intelligence techniques and applied fields Lecture notes and recommended resources relevant sections
15 Interpretation of Artificial Intelligence models Lecture notes and recommended resources relevant sections
16/17 Final Exam All lecture notes and resources


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Instructional lecture notes that have been prepared and constantly updated
 Microsoft Office Excel Documents
 SPSS documents
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Able to further develop and deepen knowledge acquired based on the undergradute level proficiencies in the fields of farm management and agricultural policy 1
2 Able to comprehend interactions among related disciplines and field of agricultural economics 3
3 Able to use theoretical and practical knowledge of agricultural economics in their specialization area 4
4 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 3
5 Able to use software widely used in agricultural economics 5
6 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 2
7 Ability to take the lead in multidisciplinary teams and work in teams 1
8 Able to critically evaluate specialized knowledge and abilities acquired in agricultural economics and direct his/her own learning process 2
9 Able to transfer research results using verbal, written and visual tools 5
10 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 2
11 Constantly adapt himself to new scientific developments 5
12 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 2
13 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 3
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 5 70
    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 10 10
    Final Exam 1 10 10
Total Workload: 146
Total Workload / 25 (h): 5.84
ECTS Credit: 6