Akademik Dersler - Tanıtım


Code - Course Title	REK4009 - Scientific/Professional Research Project I
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	2+2
ECTS	6.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ANIL ONUR MERCANOĞLU, DOKTOR ÖĞRETİM ÜYESİ TÜRKAN NİHAN SABIRLI, PROFESÖR DOKTOR SÜLEYMAN MUNUSTURLAR, DOÇENT DOKTOR HÜSEYİN ÇEVİK, DOKTOR ÖĞRETİM ÜYESİ TUBA SEVİL, DOÇENT DOKTOR MERT ERKAN, PROFESÖR DOKTOR MÜGE AKYILDIZ MUNUSTURLAR
Mode of Delivery	Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria	Midterm exam (40%), Final Exam (60%)
Work Placement	Not Applicaple
Sustainability Development Goals	Health and Quality of Life , Quality Education , Gender Equality , Decent Work and Economic Growth , Industry, Innovation and Infrastructure , Reducing Inequalities , Sustainable Cities and Communities , Responsible Production and Consumption , Climate Action , Life in Water , Terrestrial Life , Partnerships for Purposes

Weeks	Topics
Week - 1	Determining Scientific Research Project Topic/Determining Professional Research Project Topic
Week - 2	Problem Definition/Recreational Activity Selection
Week - 3	Literature Review/Target audience analysis
Week - 4	Literature Review/Needs determination
Week - 5	Creating Theoretical Framework/Literature review
Week - 6	Research Model Development/Literature review
Week - 7	Use of Qualitative and Quantitative Methods/Creating Theoretical Framework
Week - 8	Data Collection Techniques/Activity Model Development
Week - 9	Determining Sample/Field Research and Location Selection
Week - 10	Field Study Planning and Implementation/Activity Planning
Week - 11	Data Collection/Creating Organizational Chart
Week - 12	Data Collection/Task Distribution
Week - 13	Applying Basic Principles for Processing and Analysis of Obtained Data with Scientific Methods/Logistics Planning
Week - 14	Applying Basic Principles for Processing and Analysis of Obtained Data with Scientific Methods/Resource and Material Management

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0