|
Course Description |
|
Course Name |
: |
Seminar |
|
Course Code |
: |
YLUAS-102 |
|
Course Type |
: |
Optional |
|
Level of Course |
: |
Sub-Level (Undergraduate Degree) |
|
Year of Study |
: |
1 |
|
Course Semester |
: |
Spring (16 Weeks) |
|
ECTS |
: |
6 |
|
Name of Lecturer(s) |
: |
Prof.Dr. SÜHA BERBEROĞLU Assoc.Prof.Dr. OZAN ŞENKAL Asst.Prof.Dr. NURİ EMRAHOĞLU Prof.Dr. VEDAT PEŞTEMALCI Asst.Prof.Dr. BÜLENT MITIŞ |
|
Learning Outcomes of the Course |
: |
The students conduct local and international literature review on a given topic. analyze, synthesize, interpret and report the the information acquired. Present the report and answer the questions and criticisms. Use the information and communication technologies during the research.
|
|
Mode of Delivery |
: |
Face-to-Face |
|
Prerequisites and Co-Prerequisites |
: |
None |
|
Recommended Optional Programme Components |
: |
none |
|
Aim(s) of Course |
: |
To provide students with the skills needed for data collection, reporting and publishing on a specific subject on Remote Sensing and Geographical Information System. |
|
Course Contents |
: |
Choosing a seminar subject, surveying the literature, collecting data, analysing the data, reporting the data and presentation. |
|
Language of Instruction |
: |
Turkish |
|
Work Place |
: |
Lecture room and laboratory |
|
|
Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Introduction and ethics in science |
Articles, books, book chapters on selected topics |
Lecture |
|
2 |
Research subject, knowledge of writing techniques, plagiarism |
Articles, books, book chapters on selected topics |
Lecture |
|
3 |
Research subject, knowledge of writing techniques, plagiarism |
Articles, books, book chapters on selected topics |
Lecture |
|
4 |
Literature search |
Articles, books, book chapters on selected topics |
Lecture |
|
5 |
Literature search |
Articles, books, book chapters on selected topics |
Lecture |
|
6 |
Literature search |
Articles, books, book chapters on selected topics |
Lecture |
|
7 |
Literature search |
Articles, books, book chapters on selected topics |
Lecture |
|
8 |
Presenting interim report |
Study for interim report |
Oral Exam |
|
9 |
Literature search |
Articles, books, book chapters on selected topics |
Lecture |
|
10 |
Assessment of the results |
Assessment of the collected notes |
Lecture and Small scale group work |
|
11 |
Assessment of the results |
Assessment of the collected notes |
Lecture and Small scale group work |
|
12 |
Assessment of the results |
Assessment of the collected notes |
Lecture and Small scale group work |
|
13 |
Assessment of the results |
Reading thesis Writing Rules of C.U. Institute of Science |
Lecture and Small scale group work |
|
14 |
Assessment of the results |
Reading thesis Writing Rules of C.U. Institute of Science |
Lecture and Small scale group work |
|
15 |
Presentation and discussion |
Study for presentation |
Oral presentation of students |
|
16/17 |
Assessment of the presentation |
Preparing for the assessment |
Oral exam |
|
|
|
Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Library search
|
| |
| 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 |
The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. |
3 |
|
2 |
The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. |
5 |
|
3 |
The students generate information using remotely sensed data and GIS together with database management skills. |
3 |
|
4 |
The students gain knowledge to use current data and methods for multi-disciplinary research. |
4 |
|
5 |
The students gain technical competence and skills in using recent GIS and remote sensing software. |
3 |
|
6 |
The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. |
4 |
|
7 |
The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. |
2 |
|
8 |
The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. |
4 |
|
9 |
At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. |
4 |
|
10 |
The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. |
3 |
|
11 |
The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. |
2 |
|
12 |
The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. |
5 |
|
13 |
The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. |
5 |
| * 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 |
5 |
70 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
0 |
0 |
0 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
2 |
2 |
|
Final Exam |
1 |
2 |
2 |
|
Total Workload: | 144 |
| Total Workload / 25 (h): | 5.76 |
| ECTS Credit: | 6 |
|
|
|