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| Course Description |
|
| Course Name |
: |
Seminar |
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| Course Code |
: |
YLTYS-102 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
|
| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Prof.Dr. ATTİLA YAZAR
Prof.Dr. NAFİ BAYTORUN
Prof.Dr. BÜLENT ÖZEKİCİ
Prof.Dr. SEVİLAY TOPÇU
Prof.Dr. MAHMUT ÇETİN
Prof.Dr. MUSTAFA ÜNLÜ
Prof.Dr. FATİH TOPALOĞLU
Assoc.Prof.Dr. DERYAÖNDER
Asst.Prof.Dr. ÖZKAN GÜĞERCİN
|
|
| Learning Outcomes of the Course |
: |
make detailed literature review on a given subject
report the results of literature review in detail
make an oral presentation of the findings in an academic platform
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|
| Mode of Delivery |
: |
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 |
: |
The aim of the seminar course is to enable and encourage the students to make literature search on a given or selected topic, to give them the opportunity to analise, synthesis, interpret and critique the information gathered from the searched literature, and to compile the results in the form of a report, and to present them before an audience. |
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| Course Contents |
: |
The seminar is a compulsory part of the master’s programme and contains significant pieces of work indispensable for an independent research, such as literature search, creating a data base for the information gathered, classification of them, writing a report, and presentation of the results. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Seminar room |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Deciding seminar topic |
none |
Lecture, Guided Practice |
|
2 |
Literature research |
none |
Lecture, Guided Practice |
|
3 |
Literature research |
none |
Lecture, Guided Practice |
|
4 |
Literature research |
none |
Lecture, Guided Practice |
|
5 |
Data collection |
none |
Lecture, Guided Practice |
|
6 |
Data collection |
none |
Lecture, Guided Practice |
|
7 |
Data collection |
none |
Lecture, Guided Practice |
|
8 |
Data analysis |
none |
Lecture, Guided Practice |
|
9 |
Data analysis |
none |
Lecture, Guided Practice |
|
10 |
Report preparation |
none |
Lecture, Guided Practice |
|
11 |
Presentation |
none |
Lecture, Guided Practice |
|
12 |
Data analysis |
none |
Lecture, Guided Practice |
|
13 |
Data analysis |
none |
Lecture, Guided Practice |
|
14 |
Data analysis |
none |
Lecture, Guided Practice |
|
15 |
Report preparation |
none |
Lecture, Guided Practice |
|
16/17 |
Presentation |
none |
Lecture, Guided Practice |
|
|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Scientific articles, conference papers and thesis relevat to thesis topic
|
| |
| Required Course Material(s) | |
|
|
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
|
Homeworks/Projects/Others |
5 |
40 |
|
Total |
100 |
|
Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Has the ability to develop and deepen the level of expertise degree qualifications based on the knowledge acquired in the field of agriculture and irrigation structures |
5 |
|
2 |
Has the ability to understand the interaction between irrigation and agricultural structures and related disciplines |
5 |
|
3 |
Qualified in devising projects in agricultural structures and irrigation systems. |
5 |
|
4 |
Conducts land applications,supervises them and assures of development |
5 |
|
5 |
Has the ability to apply theoretical and practical knowledge in the field of agricultural structures and irrigation department |
5 |
|
6 |
Has the ability to support his specilist knowledge with qualitative and quantitative data. Can work in different disciplines. |
5 |
|
7 |
Solves problems by establishing cause and effect relationship |
5 |
|
8 |
Able to carry out a study independently on a subject. |
5 |
|
9 |
Has the ability to design and apply analytical, modelling and experimental researches, to analyze and interpret complex issues occuring in these processes.
|
5 |
|
10 |
Can access resources on his speciality, makes good use of them and updates his knowledge constantly. |
5 |
|
11 |
Has the ability to use computer software in agricultural structures and irrigation; can use informatics and communications technology at an advanced level.
|
5 |
| * 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 |
4 |
56 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
5 |
12 |
60 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
6 |
6 |
|
Final Exam |
1 |
8 |
8 |
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Total Workload: | 158 |
| Total Workload / 25 (h): | 6.32 |
| ECTS Credit: | 6 |
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