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WEB MAIL TELEPHONE DIRECTORY STUDENT INFORMATION SYSTEM COURSES OFFERED DISTANCE LEARNING CAMPUS LIFE LIBRARY PORTAL TRANSPORTATION

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 (2 2 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 (3 2 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 (3 2 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 (3 2 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 (3 2 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: 2k 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 (2 2 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 (3 2 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 (3 2 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.