Course Details

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5IE392INDUSTRY APPLICATIONS 23+0+03515.08.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program INDUSTRIAL ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To develop university-industry cooperation
To enable students to gain experience in solving real world problems of organizations
Course Content 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.
Course Methods and Techniques Group research project
Prerequisites and co-requisities None
Course Coordinator Asist Prof.Dr. Betül Çoban
Name of Lecturers Asist Prof.Dr. BETÜL ÇOBAN YELKEN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Papers related to topic
Course Notes ..
Documents canvas
Assignments canvas
Exams canvas

Course Category
Engineering %100

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
In-Term Studies Quantity Percentage
Proje/Çizim 1 % 60
Sunum/Seminer 14 % 40
Total
15
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Grup Projesi 1 80 80
Ders dışı çalışma 14 2 28
Yüz Yüze Ders 14 3 42
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 LO1: Formulate and articulate specific research problems in mathematical modeling and decision/risk analysis.
2 LO2: Design and implement mathematical models to analyze real-world scenarios and decision-making processes.
3 LO3: Analyze and interpret data to evaluate risks and make informed decisions based on research findings.
4 LO4: Develop comprehensive progress and final reports that effectively communicate research methodologies and outcomes.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Weekly Progress Presentations and Discussion
2 Weekly Progress Presentations and Discussion
3 Weekly Progress Presentations and Discussion
4 Weekly Progress Presentations and Discussion
5 Weekly Progress Presentations and Discussion
6 Weekly Progress Presentations and Discussion
7 Progress Presentations - Midterm
8 Spring Break
9 Weekly Progress Presentations and Discussion
10 Weekly Progress Presentations and Discussion
11 Weekly Progress Presentations and Discussion
12 Weekly Progress Presentations and Discussion
13 Weekly Progress Presentations and Discussion
14 Weekly Progress Presentations and Discussion

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 3 5 4
C2 5 2
C3 5
C4 5

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=78822&lang=en
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