Course Contents

Content: No English description is available in the Information Package.

No English description is available for this course.

Objectives: The objective of the Engineering Economics course is for students—aspiring engineers—to grasp the criteria necessary for evaluating the alternative options involved in engineering decisions from a financial perspective, and to acquire the skills to perform the calculations associated with these criteria.

Content: The objective is to introduce engineering students to the concepts of the time value of money and the analysis of cash flows for investment projects, to explain the methods used for comparing different investment projects, and to provide opportunities for practical application in these areas.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Objectives: The objective of this course is to introduce methods and techniques for solving mathematical models that facilitate optimal decision-making, while exploring their real-world applications. It covers fundamental approaches to solving linear programming problems and provides a detailed examination of methods for addressing transportation problems. Through illustrative examples of assignment problems—and a significant focus on network analysis—students will gain the practical skills necessary to apply these techniques. Each session will conclude with applied examples to reinforce the concepts presented. Ultimately, the course aims to establish a solid theoretical foundation at the undergraduate level, equipping graduates with the knowledge and skills to model and analyze problems they may encounter in the public or private sectors, as well as the ability to interpret the results of such analyses.

Content: CHAPTER 1: Network models CHAPTER 2: Shortest path problem CHAPTER 3: Minimum Spanning Tree Problem CHAPTER 4: Maximum Flow Problem CHAPTER 5: Integer Programming CHAPTER 6: Branch-and-Bound Algorithm CHAPTER 7: Cutting-Plane Algorithm

Objectives: The objective is to acquire knowledge—through a multidisciplinary research and development field—regarding the fundamental principles of system efficiency and human-machine-environment harmony, while considering human anatomical and anthropometric characteristics, as well as physiological capacities and tolerances, in the face of organic and psychosocial stresses that may arise from the various factors present in an industrial work environment; and, furthermore, to develop the ability to apply this knowledge practically within the workplace.

Content: Taking into account human anatomical characteristics, body measurements, and physiological capacities and tolerances—as well as the organic and psychological reactions resulting from the influence of workplace layout and environmental variables—the fundamental principles of HUMAN-MACHINE-ENVIRONMENT compatibility…

Objectives: By the end of the course, students will have acquired the modeling skills—applied in a computer-based environment—that will enable them to analyze, design, develop, and examine systems within the manufacturing and service sectors.

Content: This course covers the modeling and analysis of systems using simulation techniques. It examines the applications of simulation in manufacturing and service systems for the purposes of studying system behavior, comparing alternative systems, and performing optimization. The course also covers input and output analysis in simulation, fundamental concepts of modeling, and the basics of the simulation software ARENA.

Content: No English description is available in the Information Package.

No English description is available for this course.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Content: No English description is available in the Information Package.

No English description is available for this course.

Objectives: The purpose of this course is to inform students about the role that information systems play in today’s businesses and organizations. The course provides students with knowledge regarding information systems, data sources, the development of information systems, electronic commerce, and information management

Content: This course focuses on the management and use of information systems within organizations. It discusses how information systems can be utilized to enhance organizational performance. Students will learn to evaluate the opportunities and challenges associated with the use of information systems in the business world and explore how information technologies can transform industries. The course examines the relationships between information technology, organizational strategy, organizational structure, and management policies and processes. Additionally, the use, design, and evaluation of information systems will be explored.

Content: No English description is available in the Information Package.

No English description is available for this course.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Content: No English description is available in the Information Package.

No English description is available for this course.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Objectives: Technology and Innovation Management involves the planning, management, oversight, and coordination of the development and implementation of technological capabilities that enable companies to shape and achieve their strategic and operational goals. Today, technological changes constantly present new challenges and opportunities regarding new products, services, processes, organizational development, and industrial diversification. It is essential to seize these opportunities and transform them into value through effective and dynamic technology management. This course covers fundamental topics regarding how engineers and managers utilize and manage technology. By examining innovation strategies both globally and in Turkey, the course aims to raise awareness and foster innovative thinking skills.

Content: Evolution of programming, data storage in computers, the concept and representation of algorithms, introduction to Python, Python and IDE installation, operators, variables, basic data types, conditional statements, loops, loop methods, file operations, writing text-based games.

Objectives: This course is designed to introduce various multi-criteria decision-making techniques and their applications to complex, real-world problems. The objective is to examine the stages, components, similarities, and differences of multi-criteria decision-making processes and techniques in depth, and to foster the ability to bridge theory and practice by exploring how these concepts are applied to real-world challenges.

Content: This course provides an overview of Multi-Criteria Decision-Making (MCDM) methods. Students will learn various MCDM techniques, including Decision Trees, AHP, TOPSIS, MOORA, ARAS, and others. They will also learn how to objectively select the best possible alternative—whether in a business context or within the public or private sector—by carefully considering relevant evaluation criteria.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Bu ders için Bilgi Paketi’nde ayrıntı kaydı bulunmamaktadır.

Objectives: The objective is to present the methods and techniques used for solving mathematical models that facilitate optimal decision-making, and to introduce their applications in real-world scenarios.

Content: PART 1: Facility Design and Planning PART 2: Production Systems PART 3: Selection and Planning Factors PART 4: Facility and Handling Issues PART 5: Material and Equipment Planning PART 6: Maintenance Planning PART 7: Effectiveness and Efficiency Management

Objectives: The purpose of the course is to provide fundamental knowledge regarding the methods necessary for improving quality in production and service operations

Content: Fundamental concepts related to quality, acceptance sampling, statistical quality control methods, design of experiments.

Objectives: The objective of the course is to provide students with knowledge regarding the classification, allocation, and recording of production costs in businesses, as well as the calculation of unit costs using various costing systems.

Content: Fundamental concepts of cost accounting; the role of cost accounting within a business ` s accounting system; classification of costs; preparation of core financial statements such as the balance sheet and income statement; development of a cost system; and the introduction and application of various costing systems, including job-order costing, process costing, activity-based costing, target costing, and Kaizen costing.

Objectives: Students should acquire the ability to model and solve real-life problems using operations research techniques, as well as to analyze the resulting solutions. They should be able to understand various types of models—such as stochastic and deterministic models—and utilize computer software to solve them.

Content: This course aims to teach students the theoretical foundations and applications of optimization by covering the fundamental principles of optimization techniques and algorithms. The curriculum includes key optimization approaches such as the branch-and-bound method, one-dimensional search techniques—including the golden section search and Fibonacci search—as well as Newton’s and Lagrange’s methods. Furthermore, the course explores nature-inspired heuristic methods, such as the ant colony algorithm, and multi-criteria decision-making techniques, including goal programming. In the latter part of the course, students will work on practical applications and projects designed to help them apply the methods they have learned to real-world problems.

Objectives: The course aims to present the methods and techniques used to solve mathematical models that facilitate optimal decision-making and to introduce their real-world applications. It seeks to define basic solution approaches for linear programming problems while providing detailed information on solution methods for transportation problems. Through illustrative examples of assignment problems, the course aims to equip students with the skills to perform network analysis, which constitutes a significant portion of the curriculum. Each lecture will conclude with practical examples to reinforce the material presented. Ultimately, by establishing the necessary theoretical foundation at the undergraduate level, the course aims to enable graduates to model and analyze problems encountered in the public and private sectors and to acquire the knowledge and skills required to interpret analysis results.

Content: CHAPTER 1: Introduction to Linear Programming CHAPTER 2: Simplex Algorithm CHAPTER 3: Sensitivity Analysis CHAPTER 4: Primal-Dual Relationship CHAPTER 5: Integer Programming CHAPTER 6: Dual Simplex Method