Undergraduate

Compulsory Undergraduate Course Descriptions

IE 101 Industrial Engineering Orientation (2 0 2) (ECTS: 3)

This course is designed to establish an overall and coherent view of industrial engineering concepts in relation to engineering profession in general and the industrial engineering curriculum.

IE 117 Computational Programming Tools in Industrial Engineering (3 0 3) (ECTS: 5)

This is a one-semester course that covers the basic concepts of computer programming in C# and MATLAB by relating with Industrial Engineering concepts. Developing algorithms using stepwise refinement method. Fundamental concepts that are related to structured programming. Data types and variable definitions. Basic control structures. Conditional and looping structures. Function concept. Arrays and list. File I/O structure.

IE 200 Practical Training I (0 0 0) (ECTS: 5)

In this course the students are required to spend a training period of minimum four weeks (20 working days) in a manufacturing organization. During their training they will have the opportunity of thoroughly observing a manufacturing system. The students will also make some analysis and carry out a discussion of the various aspects of the manufacturing process.

IE 202 Work Study and Ergonomics (3 2 4) (ECTS: 7)

This course is designed to teach the fundamentals of Work Study and Ergonomics. The topics covered in the course are introduction, problem solving tools, operation analysis, manual work design, time study, standard data and formulas, work sampling, predetermined time systems, job analysis, job evaluation and compensation, design, work environment design, design of cognitive work.

IE 218 Computer Applications in Industrial Engineering (4 0 4) (ECTS: 7)

This course is designed to provide a background necessary to develop computer based applications required in IE activities. Initially, C# programming language with Form Application is considered by teaching the basics of object-oriented programming. Afterwards, DBMS is covered by using the SQL language. It is taught how to embed SQL commands in C#. Finally, Excel VBA programming language is taught.

IE 227 Introduction to Probability (3 2 4) (ECTS: 6)

Basic probability concepts, counting techniques, conditional probability and independence, random variable concept, types and probability distributions of random variables, special probability distributions (discrete and continuous), jointly distributed random variables, expectation, variance, conditional expectation and variance, functions of random variables and their distributions, sampling distributions of means and sums.

IE 228 Engineering Statistics (4 0 4) (ECTS: 6)

Introduction to statistics, data and sources of data, descriptive statistics, review of random variables, binomial, normal distributions and central limit theorem, point estimation, sampling distributions, interval estimation, sample size determination, prediction and tolerance interval, hypothesis testing for single, two and more population parameters, sample size determination for hypothesis testing, independence test for categorical data, chi-square goodness-of-fit test, simple linear regression, multiple linear regression.

IE 232 Operations Research I - Modeling (3 2 4) (ECTS: 6)

This is the first of a series of three Operations Research courses in our curriculum. The emphasis is on the formulation of deterministic mathematical models rather than solution techniques. The topics covered are: overview of Operations Research and modeling, classification and examples of mathematical models, formulation of linear programming models, integer and mixed-integer linear programming models, and network (flow) models.

IE 241 Cost Analysis in Engineering (3 0 3) (ECTS: 5)

Introduction to accounting systems; basics of financial accounting; preparation and analysis of financial statements; inventory valuation and depreciation methods; cost terms and classifications; cost-volume-profit analysis; budgeting; variance analysis; allocation of common costs and joint costs; costing systems and their practices in manufacturing and service industry; pricing decisions and cost management.

IE 300 Practical Training II (0 0 0) (ECTS: 6)

In this course the students are required to spend a training period of minimum four weeks (20 working days) in a manufacturing or service organization. During their training they will have the opportunity of thoroughly observing a manufacturing or service system. The students will also make some analysis and carry out a discussion of the various aspects of the process together with identification, definition, modelling and solution of an Industrial Engineering problem of the organization.

IE 302 Facilities Design and Location (4 0 4) (ECTS: 6)

Introduction to facilities planning; Definition of the facility location problem; Basic discrete and continuous location models and known solution techniques; Advanced location models and location-allocation models; Introduction to facilities design; Market analysis, forecasting and capacity determination; Defining requirements based on product, process and schedule design; Flow, space and relationship planning: departmentalization; Personnel requirements; Introduction to materials handling system design and warehousing operations; Introduction to plant layout; Layout optimization techniques; Comparison of computerized layout techniques; Facilities systems; Facilites design project: preparing, presenting, implementing and maintaining.

IE 326 Quality Engineering (4 0 4) (ECTS: 6)

Introduction to Quality and Quality Improvement Concept; DMAIC Process; Review of fundamental statistical concepts; Value Stream Mapping and other graphical tools for quality improvement; Statistical Process Control methods and techniques; Control Charts for Variables: X-R; Control Charts for Variables: X-S; Control Charts for Attributes; Process Capability Analysis; Acceptance Sampling for Attributes; Acceptance Sampling for Variables; Designed Experiments: 2^k Factorial Design; Two-Level Fractional Factorial Designs ; Quality Management Systems and Engineering Standards

IE 327 System Simulation (3 2 4) (ECTS: 6)

Introduction, types of simulation, concepts and examples of discrete-event simulation, event-scheduling/time advanced algorithm, hand simulation, random- number generation, random-variate generation, input modelling, verification and validation of simulation models, output analysis for a single model, comparison and evaluation of alternative system designs, simulation model development and analysis using a simulation software package.

IE 333 Operations Research II - Deterministic Problems (3 2 4) (ECTS: 6)

This is the second of a series of three Operations Research courses in our curriculum. The emphasis is on the solution procedures and interpretation of the solutions of the deterministic Operations Research problems. The topics covered are linear programming, simplex methods, duality, post optimality analysis, network models, integer programming, dynamic programming, and nonlinear programming.

IE 334 Operations Research III - Stochastic Problems (3 2 4) (ECTS: 7)

Review of basic probability concepts, random variables, and properties of random variables; decision making under uncertainty; Markov chains; exponential distribution and the Poisson process; basic queueing models; basic probabilistic inventory models.

IE 341 Engineering Economic Analysis (3 0 3) (ECTS: 5)

Foundations of Engineering Economy; How Time and Interest Affect Money; Factor Notation and Cash Flow Diagrams; Shifted Cash Flows and Gradients; Nominal and Effective Interest Rates; Present Worth Analysis; Annual Worth Analysis; Rate of Return Analysis: Single Alternative; Rate of Return Analysis: Multiple Alternatives; Benefit/Cost Analysis and Public Sector Economics; Project Financing; Replacement and Retention Decisions; Breakeven and Payback Analysis; Effects of Inflation.

IE 364 Production Information Systems (3 0 3) (ECTS: 6)

Information Systems; Global E-business and Collaboration; Decisions and Processes; Information Technology Infrastructure; Designing Databases: Diagrams and Flowcharts; Business Process Redesign; Enterprise Applications; Business Analysis for ERP software implementation; Networks and Telecommunications, Industry 4.0; Ethics and Information Security: ISO Standards; Managing Knowledge, Big Data and Artificial Intelligence; E-commerce, Digital Markets, Digital Goods; Systems Development Life Cycle; IT Projects and Change Management.

IE 365 Manufacturing and Service Systems Planning I (4 0 4) (ECTS: 6)

This is the first of two sequel courses, which are designed to introduce the planning issues for manufacturing and service systems. The topics covered in the first course are manufacturing and service systems, long-range planning, forecasting, aggregate planning, deterministic and independent demand inventory management, dynamic lot sizing, supply chain management, and distribution planning and scheduling.

IE 366 Manufacturing and Service Systems Planning II (4 0 4) (ECTS: 6)

This is the second of two sequel courses, which are designed to introduce the planning issues for manufacturing and service systems. The topics covered in the second course are stochastic and independent demand inventory management, master scheduling, capacity requirements planning, push production control systems (MRP, MRP II), production activity control (scheduling in different production environments, priority rules), pull production systems (just-in-time production, kanban).

IE 407 Systems' Analysis (1 4 3) (ECTS: 7)

This course is a project based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 407 is devoted to the understanding and identification of the particular system involved, and statement of the problem.

IE 408 Systems' Design and Implementation (1 4 3) (ECTS: 8)

This course is a project-based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 408 is devoted to the construction of solution methodologies and decision support system, and implementation of the proposed solution to the realized problem in IE 407.

IE 446 Project Engineering Management (3 0 3) (ECTS: 4)
(Compulsory Course for the students admitted for the 2020-2021 Academic Year or later)

The course includes the topics of organization’s strategy, structure and culture, and project selection is discussed. Estimating the project cost and time is covered. The project network is analysed using CPM and PERT methods. Reducing the project duration, managing risks, project monitoring and control, managing project teams and project closure topics are discussed. A project is made using MS Project.

IE 464 Law for Engineers (3 0 3) (ECTS: 4)

In this course, commercial law and labor law issues will be taught mainly. In addition basic law terminology, debt collection law and enforcement proceedings law will be discussed.

IE 499 Seminar in IE Practice (2 0 2) (ECTS: 3)

Throughout this course a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial engineering to introduce IE students to the work atmosphere and opportunities available in academia and various manufacturing and service systems.

Undergraduate Departmental Elective Course Descriptions

IE 402 Supply Chain Management (3 0 3) (ECTS: 5)

Understanding the Supply Chain and Strategic Fit; Supply Chain Drivers and Metrics; Designing Distribution Networks; Network Design in the Supply Chain; Designing Global Supply Chain Networks; Coordination in a Supply Chain; Advanced EOQ Analysis; Cycle Inventory; Safety Inventory; Safety Inventory and Product Availability Relationship; Determining the Optimal Level of Product Availability; Transportation in a Supply Chain; Sourcing Decisions in a Supply Chain; Information Technology and Sustainability.

IE 404 Multiple Criteria Decision Making (3 0 3) (ECTS: 5)

This course is designed to cover quantitative decision analysis. The course is mainly divided into three parts, general introduction to decision analysis, multicriteria decision analysis, and multi-objective optimization. In the first part, how people make decisions and decision making traps are covered. The merits of a structured rational decision making process are emphasized. In the second part, the structuring of decision elements (values, objectives, alternatives, measures, tradeoffs, and uncertainty), multi-attribute utility theory (MAUT) and analytic hierarchy process (AHP) for decision under certainty, and decision trees for decisions under uncertainty are introduced. Value-added risk management is also discussed. Finally, in the third part, optimization and goal programming are discussed.

IE 406 Project Scheduling and Control (3 0 3) (ECTS: 5)
(Prerequisite: IE 333)

Project planning and control tools used in managing and delivering projects will be explained in depth. The topics covered in this course are project scheduling basics and models, resource constrained project scheduling: models and solution algorithms, project monitoring and control tools, and project risk analysis tools.

IE 411 Enterprise Resource Planning (3 0 3) (ECTS: 5)
(Prerequisite: IE 364 and {IE 365 or IE 366})

Introduction to the business concept and content of the new economy. Fundamentals of Enterprise Resource Planning (ERP) systems concepts, and the importance of integrated information systems in an organization. ERP Systems are introduced to illustrate the concepts, fundamentals, framework, general information technology context, the technological infrastructure, and integration of business enterprise-wide applications such as Supply Chain Management (SCM) and E-Commerce within the Business to Business (B2B) and Business to Consumer (B2C) context and discussions regarding the implementation of these systems.

IE 412 Applied Time Series Analysis (3 0 3) (ECTS: 5)

Introduction; time series; components of time series; autocorrelation; strong and weak stationarity; AR models, MA models; ARMA models; model identification and estimation; non-stationarity and unit root tests; ARIMA models; SARMA models; SARIMA models; model identification, estimation and forecasting of seasonal models; tests for seasonal unit roots.

IE 424 Discrete Location Models and Applications (3 0 3) (ECTS: 5)
(Prerequisite: IE 333)

Introduction and classification of location problems; overview of all the basic discrete facility location problems and the elements of location models; SingleEchelon Single-Commodity Location Models; Two-Echelon Multi-Commodity Location Models; Public Sector Location Models (Center, Median and Covering Problems); Hub Location Problems; basic Location-Routing Problems; modeling and solution methodologies for all location problem types.

IE 428 Quality Management Systems (3 0 3) (ECTS: 5)

Introduction to Quality; Quality Concepts and Quality Paradigms; Total Quality Management; Quality by Planning; Organizing by Architecture; Quality by Design; Quality by Improvement and Control -1; Quality by Improvement and Control – 2; Measuring and Decision Making for Quality -1; Measuring and Decision Making for Quality -2; Quality Management Systems; ISO 9001 Quality Management System’s Key Concepts and requirements and basics of related standards i.e., ISO14001, ISO45001, ISO 15504, COBIT, ITIL; Implementing Quality Management Systems.

IE 429 Design of Experiments (3 0 3) (ECTS: 5)
(Prerequisite: IE 228)

The place of design of experiments in quality, basic concepts such as controllable and nuisance factors, response variables, statistical vs. practical significance; full factorial designs; fractional factorial designs; application of regression analysis for analyzing factorial designs; Taguchi’s robust design; response surface methodology.

IE 435 Decision Analysis (3 0 3) (ECTS: 5)
(Prerequisite: IE 227)

Introduction; review of some basic concepts; structuring and developing a decision model; decision situations, screening alternatives and expected value analysis; decision tree analysis with a single objective and corresponding risk profiles; decision tree analysis with multiple objectives and corresponding risk profiles; probabilistic and non-probabilistic criteria for decision making under uncertainty; value of information; introduction to utility theory; sensitivity analysis.

IE 454 An Introduction to Combinatorial Analysis (3 0 3) (ECTS: 5)
(Prerequisite: IE 333)

Introduction; review of some basic counting rules; recurrence relations; generating functions; introduction to graph theory; search types; dynamic programming, Eulerian and Hamiltonian paths and circuits; Chinese postman and street sweeping problems; traveling salesperson problem; Steiner trees; assembly line balancing.

IE 455 Defense Systems Analysis and Design (3 0 3) (ECTS: 5)
(Prerequisite: Consent of the instructor)

This course addresses at an introductory level the generally accepted principles and models of Operations Research applied in a defense analysis context. Applications of operations research tools and techniques to defense related problems including important design characteristics of defense related sensors, systems, and weapons. Reliability of systems, the effect of information and technology considering the modern weapons, munitions and the sensors are also investigated.

IE 456 Mathematical Modeling and Applications (3 0 3) (ECTS: 5)
(Prerequisite: IE 333)

This course aims to develop skills in understanding and formulating deterministic mathematical models of complex systems. Transportation, distribution, location, production, and economic planning problems are investigated. Real life cases are studied. Software packages are used for solution and analysis of models.

IE 458 Mathematical Models in Defense Systems (3 0 3) (ECTS: 5)

Review of Military Operations Research, mathematical models in Defense Analysis; deterministic combat simulation (homogeneous, heterogeneous) models; stochastic (Lanchester, discrete-time) combat simulation (homogeneous, heterogeneous) models; weapon effectiveness index/attrition models; weapon system and munition planning models; hybrid land combat models; naval warfare simulation and modeling; air defense models.

IE 463 Value Creation and Innovation in Industrial Networks (3 0 3) (ECTS: 5)

This course will cover the below concepts; innovation concept, value concept; value creation and innovation in relationships; value chain; inter-enterprise relationships and cooperation; organization and structure of industrial and technological networks, supply-demand chains, production networks, strategic alliances, research and innovation networks, clusters of firms.

IE 465 Industrial Engineering Methods and Applications in Business Life (3 0 3) (ECTS: 5)
(Prerequisite: IE 228)

The main aims of this course are to develop better skills in understanding, formulating and building models in order to analyze various complex problems from real life applications. Fundamentals of systems analysis and modeling, Sales and service systems, supply chain management, financial accounting, network modeling and simulation, ERP systems with Hands-on experience for industrial engineering subjects.

IE 469 Engineering Ethics (3 0 3) (ECTS: 5)
(Prerequisite: Consent of the instructor)

The aim of this course is to teach how to formulate and resolve typical ethical issues by analyzing simple examples as well as case studies. Different approaches and perspectives to ethical problem solving are outlined and compared. Codes of Ethics for various engineering fields are studied. Apart from basic concepts of engineering ethics the following are also included in the subject matter: conflicts of interest, exchange of favors, risk, safety, liability, obligations of engineers to their employers and the society, intellectual property rights, environmental impact, and conflicting cultural values.

IE 471 Inventory Planning and Control (3 0 3) (ECTS: 5)

The aim of this course is to develop better skills in understanding, formulating and building inventory planning and control models. Inventory policies for continuous-review and periodic review are covered for deterministic and stochastic cases. Analysis of mathematical models is made. Students are expected to conduct a literature survey for the purpose of finding a solution to a typical inventory problem as the requirement of a project work.

IE 473 Material Handling Systems (3 0 3) (ECTS: 5)

Introduction to planning and design of material handling systems, material handling terminology, principles, design procedure, analysis of material handling requirements, relationship with layout planning, unit load, material handling equipment selection, analysis of material transport systems (AGV, conveyor, monorail, cranes and hoists …), engineering analysis of storage systems (conventional vs. automated storage), warehousing, storage location strategies, storage system performance, equipment and space utilization.

IE 474 Scheduling and Sequencing (3 0 3) (ECTS: 5)
(Prerequisite: IE 366)

This course introduces the principles, techniques and algorithms for solving machine (resource) scheduling problems of the manufacturing and service systems. The topics covered in this course are overview of terminology, characteristics and classification of scheduling and sequencing problems, an overview of computational complexity theory, single machine, parallel machines, flow shop, job shop, and open shop scheduling problems with various scheduling criteria, dispatching rules, branch-and bound, dynamic programming, local search, and metaheuristic approaches.

IE 481 Optimization Techniques (3 0 3) (ECTS: 5)
(Prerequisite: IE 333)

Review of linear programming and simplex algorithm; special forms of simplex algorithm; basics of nonlinear optimization; constrained and unconstrained optimization; quadratic programming; some algorithms for nonlinear optimization.

Social Sciences Elective Course List

Social sciences elective course list is maintained and updated by the Faculty of Engineering.

Descriptions of Service Courses

Service courses are those courses offered by our department to students in other departments.

IE 230 Introduction to Probability and Statistics (3 0 3) (ECTS: 5)

Basic concepts of probability and random variables which constitutes the basics of statistics. Discrete and continuous random variables and their distributions, expectation of discrete random variables. Random samples, statistics and their distributions, estimation, hypothesis testing, inference about two populations, analysis of variance, regression analysis.

IE 345 Engineering Economy (3 0 3) (ECTS: 4)

This course highlights the importance of economic principles in engineering applications, especially in project evaluation procedures. Basics of economic evaluation of engineering decisions such as time value of money, inflation, depreciation and income taxes and related techniques are given.

IE 417 Occupational Health and Safety (3 0 3) (ECTS: 4)

This course is designed to teach the fundamentals of occupational health and safety with the emphasis on civil engineering activities. The topics covered in the course are statistical analysis of the accidents and injuries in civil construction sites, the economical aspects of accidents and injuries in construction sites, operational structure of agencies related to occupational health and safety, type of injuries and occupational hazards in construction related activities, engineering and management side of health and safety in construction, and legal aspects and standards in Turkey.

IE 446 Project Engineering Management (3 0 3) (ECTS: 4)

The role of projects in organization is getting more important as they become the major tool for reaching strategic goals. This module provides an integrative view of project management. Topics include project selection, project organization, budgeting and cost estimation, progress and performance measurement and evaluation, and project auditing. Project planning and control techniques, such as CPM and PERT, are also covered. After project management issues, project planning and control issues such as general review of CPM and PERT models to cover cases with certainty and uncertainty of activity durations; project crashing and PERT/Cost analysis; GANTT charts and resource balancing decisions; control, revision and verification of projects; computer applications are discussed.