|
Course Description |
|
Course Name |
: |
Research Project – II |
|
Course Code |
: |
İSB452 |
|
Course Type |
: |
Compulsory |
|
Level of Course |
: |
First Cycle |
|
Year of Study |
: |
4 |
|
Course Semester |
: |
Spring (16 Weeks) |
|
ECTS |
: |
6 |
|
Name of Lecturer(s) |
: |
Prof.Dr. SELAHATTİN KAÇIRANLAR Prof.Dr. SADULLAH SAKALLIOĞLU Assoc.Prof.Dr. ALİ İHSANGENÇ Assoc.Prof.Dr. MAHMUDE REVAN ÖZKALE Assoc.Prof.Dr. DENİZ ÜNAL Asst.Prof.Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY Assoc.Prof.Dr. GÜZİN YÜKSEL |
|
Learning Outcomes of the Course |
: |
Understand the stages of scientific research
Makes literature survey
Gather together literature
Presents orally and in writing the results obtained Apply the obtained results
learn teamwork
|
|
Mode of Delivery |
: |
Face-to-Face |
|
Prerequisites and Co-Prerequisites |
: |
None |
|
Recommended Optional Programme Components |
: |
None |
|
Aim(s) of Course |
: |
In this course the student is expected to prepare and present a thesis on a subject of his/her own choice |
|
Course Contents |
: |
The basic concepts and steps of the scientific research, the choice of the research problem, the solution to the problem of the selected research proposals, research design, and to produce the submission of the project proposal |
|
Language of Instruction |
: |
Turkish |
|
Work Place |
: |
Instructor´s office |
|
|
Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
to determine the project topic |
Literature review |
Lecture, discussion |
|
2 |
Literature review |
Literature review |
Lecture, discussion |
|
3 |
Literature review |
Reference collection |
Lecture, discussion |
|
4 |
regulation the collected resources |
regulation the collected resources |
Lecture, discussion |
|
5 |
Under the program preparation of progress reports for presentation |
Under the program preparation of progress reports for presentation |
Lecture, discussion |
|
6 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
7 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
9 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
10 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
11 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
12 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
13 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
14 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
15 |
presentation of reports |
presentation of reports |
Lecture, discussion |
|
16/17 |
Final exam |
Review the topics discussed in the lecture notes and sources |
Oral examination |
|
|
|
Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
All references relating to the project
|
| |
| Required Course Material(s) | |
|
|
|
Assessment Methods and Assessment Criteria |
|
Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
0 |
0 |
|
Homeworks/Projects/Others |
14 |
100 |
|
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 |
Utilize computer systems and softwares |
5 |
|
2 |
Apply the statistical analyze methods |
5 |
|
3 |
Make statistical inference(estimation, hypothesis tests etc.) |
5 |
|
4 |
Generate solutions for the problems in other disciplines by using statistical techniques |
5 |
|
5 |
Discover the visual, database and web programming techniques and posses the ability of writing programme |
5 |
|
6 |
Construct a model and analyze it by using statistical packages |
5 |
|
7 |
Distinguish the difference between the statistical methods |
5 |
|
8 |
Be aware of the interaction between the disciplines related to statistics |
5 |
|
9 |
Make oral and visual presentation for the results of statistical methods |
5 |
|
10 |
Have capability on effective and productive work in a group and individually |
5 |
|
11 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
4 |
|
12 |
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics |
5 |
|
13 |
Emphasize the importance of Statistics in life |
5 |
|
14 |
Define basic principles and concepts in the field of Law and Economics |
0 |
|
15 |
Produce numeric and statistical solutions in order to overcome the problems |
5 |
|
16 |
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events |
5 |
|
17 |
Use proper methods and techniques to gather and/or to arrange the data |
5 |
|
18 |
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs |
0 |
| * 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 |
2 |
28 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
14 |
4 |
56 |
|
Mid-term Exams (Written, Oral, etc.) |
0 |
0 |
0 |
|
Final Exam |
1 |
30 |
30 |
|
Total Workload: | 142 |
| Total Workload / 25 (h): | 5.68 |
| ECTS Credit: | 6 |
|
|
|