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Course Description |
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Course Name |
: |
Statistics for Agricultural Economists |
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Course Code |
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TEP310 |
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Course Type |
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Optional |
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Level of Course |
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First Cycle |
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Year of Study |
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3 |
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Course Semester |
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Spring (16 Weeks) |
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ECTS |
: |
3 |
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Name of Lecturer(s) |
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Asst.Prof.Dr. TUNA ALEMDAR |
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Learning Outcomes of the Course |
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knows how to access to major data sources in Turkey and the world is able to distinguish strong and weak sides of basic sampling models and determine the sample size is able to interpret mafor data summarizing methods (index nad parity etc.) in social and economic analysis is able to use and interpret the tecniques used in visual analysis of data
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
: |
None |
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Recommended Optional Programme Components |
: |
None |
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Aim(s) of Course |
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T gain skills to get access to the secondary data related to agricultural economics; to apply basic sampling knowledge regarding primary data acquisition; to summarize data by classifying them in various forms; estimating and calculating various statistical measures such as indices, parities, trade rates |
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Course Contents |
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Definition and classification of statistics, statistical resources; statistical data mostly used in agricultural economics, their classification and data resources; compilation of statistical data, data compilation techniques (questionnaires, observations, experiments and projections); basic information required for quantitative analysis of numerical data; basic and compound index calculation methods; use of indices; growth rate calculations; time series analysis (long term movements and trends, cyclical variations, seasonal variations and irregular or random movements) |
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Language of Instruction |
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Turkish |
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Work Place |
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Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Basic statistical concepts: rations, percents, index |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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2 |
Important data sources in world and Turkey |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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3 |
Descriptive techniques (box diagram etc.) |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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4 |
Space and time indexes, constant and variable based indices |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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5 |
Simple and compound indices, Laspeyres, Paasche and Fisher indices |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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6 |
Transactions with indices |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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7 |
Price indices |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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8 |
Parity and calculations |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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9 |
Foreign trade indices |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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10 |
Midterm Exam |
Lecture notes and recommended resources for the relevant sections |
written Exam |
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11 |
Introduction to Time series, compound of time series, trend calculations |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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12 |
Trend calculations with Least square method |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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13 |
Seasonal fluctuations, cyclical and irregular movements |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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14 |
Sampling Methods |
Lecture notes and recommended resources for the relevant sections |
Lecture |
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15 |
General Review |
All lecture notes and resources |
Lecture |
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16/17 |
Final Exam |
All lecture notes and resources |
written Exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Güneş, T., Arıkan R. 1988. Tarım Ekonomisi İstatistiği, Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1049; Ders Kitabı:305.
TUIK Publications, FAO website
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
0 |
50 |
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Homeworks/Projects/Others |
0 |
50 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
is be able to explain and apply basic theories related to major science and engineering courses in order to form a foundation which enables him/her to understand advanced level subjects related to his/her profession |
2 |
|
2 |
is able to describe, intorduce and evaluate crop and animal production techniques, tools and equipment used in this area and explain role, importance and development of agriculture in national and world economy |
2 |
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3 |
is able to describe characteristics and interrelations of all stages from production to consumption in agricultural sector; is able to describe basic concepts related to efficienct and sustianable use of resources; is able to explain and apply basic economic principles used for this purpose |
0 |
|
4 |
is able to explain concepts, thought, theory and methods related to major economic, social, natural, cultural, institutional, organizational and legal factors affecting activities in agricultural sector and rural areas, also national and international forces and interaction between them, their universal and social effects |
0 |
|
5 |
is able to apply basic principles of economics to the problemes encountered in agricultural sector |
0 |
|
6 |
is able to show and express economic and social data to be used in agricultural decision making process in tables, graphs and mathematical symbols |
4 |
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7 |
is able to apply ecosystem, biodiversity, sustainable resource management, rural development, planning and technology use related knowledge to crop and animal production and marketing processes |
0 |
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8 |
determines required data related to the analysis of problems encountered in agricultural sector, critically examines and uses those data, selects a proper frame, model and method for the analysis, and evaluates results of the analysis |
5 |
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9 |
uses basic information technologies in the analysis of economic and social data and uses software prepared for this purpose and interpretes results |
0 |
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10 |
is able to carry studies related to his/her field independently and according to the legal procedures; is able to give consultancy, supervising, and expertise services in those fields; is able to join to team works |
0 |
|
11 |
is able to get access to actual and updated information in the field; is able to inquire knowledge obtained and use them for public benefit according to the purpose selected |
4 |
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12 |
is able to communicate with sepacialist and non-specialist people both in verbal and written form; is able to select most appropriate communications methods; is able to develop cooperation with stakeholders on producer and organization basis |
0 |
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13 |
acquires general and professional foreign language command at a sufficient level to observe professional developments and communicate with colleagues;is able to use information and communication technologies |
0 |
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14 |
is able to identify problems that can be encountered in agricultural sector; determines their context, evaluates effects of solutions, projects and policies applied in this context, produces solutions, projects and policy alternatives, foresees possible effects of alternatives suggested by himself/herself or others, selects the most appropriate alternative in terms of the goals selected, applies, direcs and monitors project |
0 |
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15 |
is able to describe historical development of the profession, ethical principles obligatory during the performance of the profession and to be consicous of meticulous application of these principles |
0 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
6 |
84 |
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Out of Class Study (Preliminary Work, Practice) |
0 |
0 |
0 |
| Assesment Related Works |
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Homeworks, Projects, Others |
0 |
0 |
0 |
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Mid-term Exams (Written, Oral, etc.) |
0 |
0 |
0 |
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Final Exam |
0 |
0 |
0 |
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Total Workload: | 84 |
| Total Workload / 25 (h): | 3.36 |
| ECTS Credit: | 3 |
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