Skip to main content

Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to INDUSTRIAL ENGINEERING-Fall Semester2+022
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Melis Almula KARADAYI, Lect. Özgür EROL, Assist.Prof. Merve Yüsra DOĞAN, Assoc.Prof. Yasin GÖÇGÜN
Assistant(s)
Aim
Course ContentThis course contains; Introduction to the field of Industrial Engineering,Introduction to Operations Research,Introduction to Optimization,Introduction to Location Analysis,Introduction to Cost Analysis and Feasibility Studies,Introduction to Transportation Models,Introduction to Engineering Economics,Introduction to Inventory Models,Introduction to Stochastic Modeling,Introduction to Time Study and Process Analysis,Introduction to Project Management,Introduction to the Quality Concept and Quality Control,Introduction to Work Study,Introduction to System Analysis and Design .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Examine industrial engineering problems from an analytical point of view.12, 16, 9A
Make proposals and improvements that will ensure the harmonious operation of the different units of the system.12, 16, 9A
Decide which Industrial Engineering technique can solve the encountered problems.12, 14, 16, 19, 9A
Recognize basic concepts and techniques in the main subjects of industrial engineering.12, 14, 16, 9A
Teaching Methods:12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Introduction to the field of Industrial EngineeringLecture Notes
2Introduction to Operations ResearchLecture Notes
3Introduction to OptimizationLecture Notes
4Introduction to Location AnalysisLecture Notes
5Introduction to Cost Analysis and Feasibility StudiesLecture Notes
6Introduction to Transportation ModelsLecture Notes
7Introduction to Engineering EconomicsLecture Notes
8Introduction to Inventory ModelsLecture Notes
9Introduction to Stochastic ModelingLecture Notes
10Introduction to Time Study and Process AnalysisLecture Notes
11Introduction to Project ManagementLecture Notes
12Introduction to the Quality Concept and Quality ControlLecture Notes
13Introduction to Work StudyLecture Notes
14Introduction to System Analysis and Design Lecture Notes
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report248
Term Project11010
Presentation of Project / Seminar111
Quiz212
Midterm Exam11010
General Exam11212
Performance Task, Maintenance Plan000
Total Workload(Hour)71
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(71/30)2
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to INDUSTRIAL ENGINEERING-Fall Semester2+022
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assoc.Prof. Melis Almula KARADAYI, Lect. Özgür EROL, Assist.Prof. Merve Yüsra DOĞAN, Assoc.Prof. Yasin GÖÇGÜN
Assistant(s)
Aim
Course ContentThis course contains; Introduction to the field of Industrial Engineering,Introduction to Operations Research,Introduction to Optimization,Introduction to Location Analysis,Introduction to Cost Analysis and Feasibility Studies,Introduction to Transportation Models,Introduction to Engineering Economics,Introduction to Inventory Models,Introduction to Stochastic Modeling,Introduction to Time Study and Process Analysis,Introduction to Project Management,Introduction to the Quality Concept and Quality Control,Introduction to Work Study,Introduction to System Analysis and Design .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Examine industrial engineering problems from an analytical point of view.12, 16, 9A
Make proposals and improvements that will ensure the harmonious operation of the different units of the system.12, 16, 9A
Decide which Industrial Engineering technique can solve the encountered problems.12, 14, 16, 19, 9A
Recognize basic concepts and techniques in the main subjects of industrial engineering.12, 14, 16, 9A
Teaching Methods:12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Introduction to the field of Industrial EngineeringLecture Notes
2Introduction to Operations ResearchLecture Notes
3Introduction to OptimizationLecture Notes
4Introduction to Location AnalysisLecture Notes
5Introduction to Cost Analysis and Feasibility StudiesLecture Notes
6Introduction to Transportation ModelsLecture Notes
7Introduction to Engineering EconomicsLecture Notes
8Introduction to Inventory ModelsLecture Notes
9Introduction to Stochastic ModelingLecture Notes
10Introduction to Time Study and Process AnalysisLecture Notes
11Introduction to Project ManagementLecture Notes
12Introduction to the Quality Concept and Quality ControlLecture Notes
13Introduction to Work StudyLecture Notes
14Introduction to System Analysis and Design Lecture Notes
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43