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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ENGINEERING MANAGEMENT-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Yasin GÖÇGÜN
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimThe purpose of this course is to describe general company operations and services and how they are managed using common industrial engineering, operations research, decision-making, and management science tools and techniques.
Course ContentThis course contains; Introduction to operations and engineering management,Strategy, competitiveness, and productivity,Forecasting; product and services design,Strategic capacity planning,Process selection and facility layout; work design and measurement,Location planning and analysis,Quality control and quality management,Aggregate planning and master scheduling,,MRP AND ERP
,Inventory management, JIT, and lean operations,Supply chain management; scheduling,Management of waiting lines and linear programming,Final Project Presentations,Final Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Analyzes the relationship between industrial engineering and operations management and how these fields contribute to increased productivity, efficiency, and effectiveness in organizations.13, 16, 4, 9A, E, F
2. Analyzes the real-life examples and case studies to better understand how decision-making techniques are applied in demand forecasting, capacity planning, and the planning of resources and operations.13, 16, 4, 9A, E, F
3. Analyzes real-life examples and case studies to better understand how operations research techniques are used for site planning, process selection, facility layout design, work design, and measurement.13, 16, 4, 9A, E, F
4. Defines the modern approaches to quality control and quality management using current real-life examples.13, 16, 4, 9A, E, F
5. Identifies the modern approaches to inventory management and enterprise resource planning solutions using case studies, .13, 16, 4, 9A, E, F
6. Analyzes the real-life examples and case studies to better understand how management science techniques are used to minimize resources and maximize operational results.13, 16, 4, 9A, E, F
Teaching Methods:13: Case Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to operations and engineering managementLecture Notes
2Strategy, competitiveness, and productivityLecture Notes
3Forecasting; product and services designLecture Notes
4Strategic capacity planningLecture Notes
5Process selection and facility layout; work design and measurementLecture Notes
6Location planning and analysisLecture Notes
7Quality control and quality managementLecture Notes
8Aggregate planning and master scheduling,Lecture Notes
9MRP AND ERP
Lecture Notes
10Inventory management, JIT, and lean operationsLecture Notes
11Supply chain management; schedulingLecture Notes
12Management of waiting lines and linear programmingLecture Notes
13Final Project PresentationsProject Presentations
14Final Project PresentationsProject Presentations
Resources
Course Materials: Course notes, slides, readings (provided by the instructor) Textbook: Operations Management; W.J. Stevenson; 13th edition; McGrawHill

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.
X
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.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
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.
X
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 Hours14342
Guided Problem Solving212
Resolution of Homework Problems and Submission as a Report12112
Term Project111
Presentation of Project / Seminar5420
Quiz616
Midterm Exam5525
General Exam8864
Performance Task, Maintenance Plan339
Total Workload(Hour)181
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(181/30)6
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
ENGINEERING MANAGEMENT-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Yasin GÖÇGÜN
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimThe purpose of this course is to describe general company operations and services and how they are managed using common industrial engineering, operations research, decision-making, and management science tools and techniques.
Course ContentThis course contains; Introduction to operations and engineering management,Strategy, competitiveness, and productivity,Forecasting; product and services design,Strategic capacity planning,Process selection and facility layout; work design and measurement,Location planning and analysis,Quality control and quality management,Aggregate planning and master scheduling,,MRP AND ERP
,Inventory management, JIT, and lean operations,Supply chain management; scheduling,Management of waiting lines and linear programming,Final Project Presentations,Final Project Presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Analyzes the relationship between industrial engineering and operations management and how these fields contribute to increased productivity, efficiency, and effectiveness in organizations.13, 16, 4, 9A, E, F
2. Analyzes the real-life examples and case studies to better understand how decision-making techniques are applied in demand forecasting, capacity planning, and the planning of resources and operations.13, 16, 4, 9A, E, F
3. Analyzes real-life examples and case studies to better understand how operations research techniques are used for site planning, process selection, facility layout design, work design, and measurement.13, 16, 4, 9A, E, F
4. Defines the modern approaches to quality control and quality management using current real-life examples.13, 16, 4, 9A, E, F
5. Identifies the modern approaches to inventory management and enterprise resource planning solutions using case studies, .13, 16, 4, 9A, E, F
6. Analyzes the real-life examples and case studies to better understand how management science techniques are used to minimize resources and maximize operational results.13, 16, 4, 9A, E, F
Teaching Methods:13: Case Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to operations and engineering managementLecture Notes
2Strategy, competitiveness, and productivityLecture Notes
3Forecasting; product and services designLecture Notes
4Strategic capacity planningLecture Notes
5Process selection and facility layout; work design and measurementLecture Notes
6Location planning and analysisLecture Notes
7Quality control and quality managementLecture Notes
8Aggregate planning and master scheduling,Lecture Notes
9MRP AND ERP
Lecture Notes
10Inventory management, JIT, and lean operationsLecture Notes
11Supply chain management; schedulingLecture Notes
12Management of waiting lines and linear programmingLecture Notes
13Final Project PresentationsProject Presentations
14Final Project PresentationsProject Presentations
Resources
Course Materials: Course notes, slides, readings (provided by the instructor) Textbook: Operations Management; W.J. Stevenson; 13th edition; McGrawHill

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.
X
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.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
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.
X
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