| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | IE392 | INDUSTRY APPLICATIONS 2 | 3+0+0 | 3 | 5 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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INDUSTRIAL ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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To develop university-industry cooperation
To enable students to gain experience in solving real world problems of organizations
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Course Content
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This is the first course of a series of four courses designed to improve university-industry collaboration and to enable the students to gain experience in solving real problems of organizations. The students are expected to conduct research to solve a real-world problem in groups under the supervision of the instructor and in collaboration with the experts from the industry. In this context, the students’ survey papers related to the problem, visit the organization to analyze the problem and collect data, construct conceptual and analytical models to solve the problem, develop solution methodologies for the proposed models, and apply the models to the problem.
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Course Methods and Techniques
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Group research project
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Prerequisites and co-requisities
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None
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Course Coordinator
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Asist Prof.Dr. Betül Çoban
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Name of Lecturers
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Asist Prof.Dr. BETÜL ÇOBAN
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Papers related to topic
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..
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canvas
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canvas
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canvas
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
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In-Term Studies
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Proje/Çizim
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1
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%
60
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Sunum/Seminer
|
14
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%
40
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Total
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15
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%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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Grup Projesi
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1
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80
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80
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Ders dışı çalışma
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14
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2
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28
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Yüz Yüze Ders
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14
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3
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42
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Total Work Load
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Number of ECTS Credits 5
150
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| LO1: Formulate and articulate specific research problems in mathematical modeling and decision/risk analysis. |
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2
| LO2: Design and implement mathematical models to analyze real-world scenarios and decision-making processes. |
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3
| LO3: Analyze and interpret data to evaluate risks and make informed decisions based on research findings. |
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4
| LO4: Develop comprehensive progress and final reports that effectively communicate research methodologies and outcomes. |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Weekly Progress Presentations and Discussion
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Recommended Optional Programme Components
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72418&lang=en