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  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