Duyurular 
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DERS İÇERİKLERİ
Department of Industrial Engineering
ENM 254 MÜHENDİSLER İÇİN İSTATİSTİK (3+0) 3
Veri düzenlenmesi ve analizi, merkezi eğilim ve dağılım ölçüleri, olasılık kavramları, kesikli ve sürekli olasılık dağılımları, örnekleme dağılımları, nokta kestirimi, aralık kestirimi, hipotez testleri, varyans analizi, regresyon ve korelasyon (Önkoşul: MAT101).
IE 101 INTRODUCTION TO INDUSTRIAL ENGINEERING (0+2) 1
Introduction to engineering and its branches, impact of engineering and technology on society, elements of engineering education, elements of engineering design, information research methods, communications and report writing. Meetings with IE faculty. (Prerequisite: None).
IE 102 INDUSTRIAL ENGINEERING FUNDAMENTALS (0+2) 1
Introduction to IE concepts including statistics, optimization, simulation, modeling, production and service systems, information systems, autocad, CNC, Microcomputer applications, CAD/CAM. (Prerequisite: None).
IE 214 PRINCIPLES OF ACCOUNTING (2+2) 3
Principles and techniques of accounting, study of financial reports including the basic functions of analysis, recording, summarizing and reporting of financial transactions. Receivable, fixed assets, liabilities, revenues and expenses emphasized. (Prerequisite: None).
IE 251 PROBABILITY FOR INDUSTRIAL ENGINEERS (3+2) 4
Collection, organization and presentation of data. Introduction to probability theory, counting theorems, conditional probability and independence. Random variables, expectation, discrete probability models, continuous probability models, normal and related distributions. Joint probability distributions, linear combinations of random variables, central limit theorem. Point estimation. (Prerequisite: MATH 101).
IE 252 STATISTICS FOR INDUSTRIAL ENGINEERS (3+2) 4
Sampling distributions, point estimation, confidence intervals. Hypothesis testing. Single- and multi-factor analysis of variance. Correlation and regression analysis. Nonlinear and multiple regression. Analysis of categorical data. (Prerequisite: IE 251).
IE 253 PROBABILITY AND STATISTICS (3+0) 3
Collection, organization and presentation of data. Introduction to probability theory, counting theorems, conditional probability and independence. Random variables, expectation, discrete probability models, continuous probability models, normal distribution and related distributions, central limit theorem. Point and interval estimation, testing statistical hypotheses. Regression and correlation analysis. (Prerequisite: MATH 101).
IE 254 STATISTICS FOR ENGINEERS (3+0) 3
Sampling distributions, point and interval estimation, confidence intervals, hypothesis testing. Analysis of variance. Simple and multiple regression analysis. Analysis of categorical data. (Prerequisite: MATH 101).
IE 300 SUMMER PRACTICE (Non-Credit)
Students are supposed to spend 6 weeks in industry and obtain practical experience on a topic related to Industrial Engineering. At the end of the summer practice, students should write a technical report and submit it to the department.
IE 313 COST ACCOUNTING (2+2) 3
Principles and application of cost accounting systems, including actual, standard and variable costing techniques, study of the behavior of elements of costs. (Prerequisite: IE 214).
IE 324 MANUFACTURING PROCESSES (3+0) 3
Basic manufacturing processes, manufacturing properties of metals and alloys, non-metallic materials, bulk deformation processes, machining and joining processes including economic aspects. (Prerequisite: MSE 272).
IE 325 PRODUCTION PLANNING AND CONTROL I (3+2) 4
Production management, forecasting methods, descriptive and explanatory models, classification of production systems, facility layout and location, single and multifacility location problems, time and motion study, work sampling methods, work design, capacity planning, maintenance function. (Prerequisite: IE 252).
IE 326 PRODUCTION PLANNING AND CONTROL II (3+2) 4
Inventory Management; EOQ models, safety stocks, continuous and periodic review systems, aggregate production planning, models with linear costs, dynamic programming and network models, smoothing problems, multiproduct and multistage models, operations scheduling, Material Requirements Planning. (Prerequisite: IE 325).
IE 333 OPERATIONS RESEARCH I (3+2) 4
Deterministic model building, linear programming models, problem formulation, simplex method, sensitivity analysis, duality, transportation and assignment problems. (Co-requisite: MATH 256).
IE 334 OPERATIONS RESEARCH II (3+2) 4
Network models, integer programming, non-linear programming, dynamic programming, queuing models, Markov chains. (Prerequisite: IE 251, IE 333).
IE 335 OPERATIONS RESEARCH (Service Course) (3+0) 3
Deterministic model building, linear programming models, problem formulation, simplex method, sensitivity analysis, duality theory, transportation and assignment problems. Network models, integer programming, dynamic programming, queuing models, Markov chains. (Co-requisite : IE 253, Pre-requisite: MATH 256).
IE 345 INTRODUCTION TO MANAGEMENT INFORMATION SYSTEMS (MIS) (2+2) 3
Introduction to information systems analysis, design and development, systems development strategies and tools, initiation and feasibility of systems projects, tools for systems requirements analysis and determination, structured analysis technique for large complex system, application prototyping systems development, computer aided system tools, systems design, system implementation and its management. (Prerequisite: CSE 141).
IE 361 COMPUTER AIDED DESIGN / MANUFACTURING (CAD/CAM) (3+0) 3
Impact of CAD/CAM on product design and manufacturing, CAD/CAM software applications. (Prerequisite: CSE 141).
IE 362 COMPUTER AIDED ENGINEERING (CAE) (3+0) 3
Review of CAD/CAM, finite element analysis, the use of macros in CAE, workstation analysis, cases and applications in industry. (Prerequisite: IE 361).
IE 364 INTRODUCTION TO SIMULATION (3+2) 4
Development of a simulation language such as GPSS/H or SIMAN for modeling production, inventory, finance, transportation, public and health systems. Statistical analysis of simulation input/output data, design of simulation experiments, other elements of simulation analysis and generation of random numbers. (Prerequisite: IE 252).
IE 365 ADVANCED PROGRAMMING (3+0) 3
Software engineering concepts, structured programming, functional programming, special emphasis on object oriented programming (OOP). Applications will be on C and C++ programming languages and a specific 4’th generation language will also be introduced. (Prerequisite: CSE 142).
IE 371 MARKETING MANAGEMENT (3+0) 3
Core concepts of marketing, corporate and business strategic planning, marketing process management, nature and contents of marketing plan, analysis of marketing opportunities, measurement and forecasting of market demand, identification of market segments and selection of target markets, design of marketing strategies, marketing program planning, organization, implementation and control of marketing effort. (Prerequisite: None).
IE 372 PRINCIPLES OF MANAGEMENT (3+0) 3
Introduction to management, management science characteristics and processes, the role of management science, decision theory, modeling in management, diversification, decision making, replacement policy, building and hedging policy, purchasing policy, decision under pressure, implementation of management. (Prerequisite: None).
IE 374 ERGONOMICS (3+0) 3
Relationship between man and work environment, human body and physiological functions, anatomy and antropometry in equipment design, environmental factors. Measurement of human work capabilities in the industrial environment. (Prerequisite: None).
IE 381 MODELLING AND DISCRETE SIMULATION (3+0) 3
Development of a simulation language for modelling various systems. Statistical analysis of simulation input/output data, design of simulation experiments, other elements of simulation analysis and generation of random numbers. (Prerequisite: IE 253).
IE 385 QUALITY METHODS (3+0) 3
Total Quality Management; history, concepts, principles, tools and models. Principles of quality control systems, process control and capability concepts, control charts, acceptance sampling plans, cost of quality, modern concepts in quality control and management. (Prerequisite: IE 252).
IE 388 QUALITY AUDIT (3+0) 3
Audit objectives and responsibilities, selection of lead auditor, evaluation of auditor candidates, audit team, managing an audit program. Initiating, preparing and executing an audit, audit documents, audit completion, corrective action follow-up. (Prerequisite: IE 385).
IE 396 DATABASE MANAGEMENT SYSTEMS (2+2) 3
The relational model; storing data: Disks, files, file organizations, indexes; conceptual design and the ER model; schema refinement and normal forms; physical database design and tuning; SQL : The Query Language; data warehousing, OLAP, data mining; networked databases.
IE 400 SUMMER PRACTICE (Non-Credit)
Students are supposed to spend 6 weeks in industry and obtain practical experience on a topic related to Industrial Engineering. At the end of the summer practice, students should write a technical report and submit it to the department.
IE 401 MANAGERIAL ECONOMICS (3+0) 3
Principles underlying microeconomics theory, capital budgeting, cost of capital, present value, rate of return, methods of evaluating alternatives, marginal and incremental costs, opportunity costs, feasibility studies for investment decisions, campaign alternatives, projected cash flow statements. (Prerequisite: ECON 204).
IE 416 FINANCE FOR ENGINEERS (3+0) 3
Quantitative methods: Time value of money, the investment setting, stock market analysis.
Macroeconomic and microeconomic analysis, global economic analysis. Financial statement analysis: Concepts, financial ratios and earnings per share, assets, liabilities. Corporate Finance: corporate investing and financing decisions. Asset valuation: Markets and instruments, equity investments. Debt investments: Basic concepts, analysis and valuation. Derivative investments, alternative investments. Portfolio management: Capital market theory. (Prerequisite: ECON 204).
IE 417 FINANCIAL ACCOUNTING (3+0) 3
Basic framework of accounting with generally accepted principles of accounting and valuation methods, financial reporting, emphasizing statements of income, financial priorities, flow of funds and flow of cash, partnership accounting, consolidated statements, price level accounting (inflationary accounting) and analysis of financial statements. (Prerequisite: None).
IE 418 MANAGERIAL ACCOUNTING (3+0) 3
Principles and systems of cost accounting with basic emphasis directed to planning and control functions of management. Cost-profit-volume relationships, budgeting, actual standard and variable costing, responsibility accounting and study of elements of cost. (Prerequisite: IE 417).
IE 425 FACILITIES PLANNING (3+0) 3
Design of production, distribution and inventory systems. Process design, materials handling, work area design, storage and warehousing, service area planning. machine scheduling; number, size and location of facilities in a system; capacity planning; design of delivery routes. (Prerequisite: IE 326).
IE427 SCHEDULING AND SEQUENCING (2+2) 3
This course covers deterministic scheduling and sequencing problems such as single machine scheduling, parallel machine scheduling, flowshop scheduling, and jobshop scheduling. An introduction to neighbourhood search techniques, such as genetic algorithms, tabu search, simulated annealing, and ant systems, are also covered.
IE 431 DECISION ANALYSIS (2+2) 3
Decision making is a challenge when there are uncertainty, incomplete information, multiple objectives, and subjective judgement and preferences involved in the situation. In organizational and individual decisions, presence of all these complicating factors is more common than not. Decision Analysis offers decision makers a set of tools to help, (1) structure decision problems and generate creative alternatives, (2) quantify uncertainty, (3) quantify subjective judgement, and, (4) combine all this in an optimal choice model. The course objective is to teach basic concepts and skills necessary to deal with such efforts. (Prerequisite: IE 334).
IE 432 INTRODUCTION TO GRAPH THEORY (3+0) 3
Paths, circuits, trees, planarity and duality, coloring graphs, digraph matching and covering problems, matroid theory. (Prerequisite: IE 334).
IE 435 GAME THEORY (3+0) 3
Optimal strategies, games in extensive form with infinite number of strategies, convex payoff functions, timing duels, planning computer simulation experiments. (Prerequisite: IE 334).
IE 436 PROJECT MANAGEMENT (2+2) 3
Projects are all the work that's done one time, and ongoing operations represent the work we do over and over. These two types of work require different management approaches and techniques. This course introduces project management issues and techniques, which the students are required to apply to real-world projects. Project selecting, structuring, scheduling