General electives can be selected from all the courses offered at Koç University.

INDR 371 / OPERATIONS AND FACILITIES DESIGN
Sınıf: Credit: 3Precondition: INDR. 262 or consent of the instructor

Facilities design process; strategic facilities planning, product, process, and schedule design, flow, space, and activity relationships, personnel requirements; material handling principles, equipment, unit load concept; facility layout, types, procedures, computer-aided tools; warehousing, order picking, automated storage/retrieval systems; quantitative models for facilities planning; evaluating, selecting, preparing, presenting, implementing, and maintaining the facilities plan.

INDR 372 / PRODUCTION PLANNING AND CONTROL
Sınıf: Credit: 3Precondition: (INDR. 262 and INDR. 343) or consent of the instructor

Quantitative models for decision-making with focus on tactical and operational decisions in manufacturing environments. Aggregate planning, inventory control, forecasting, project management, production scheduling, manpower and capacity planning, location and layout planning, manufacturing resource planning (MRP) and just-in-time (JIT) systems.

INDR 391 / SUMMER PRACTICE II
Sınıf: Credit: 0Precondition: (INDR 291 or ENGR 291) and ACWR 106-102-103-104-105-107

A minimum of 20 working days of training in an industrial summer practice program after the completion of third year. The training is based on the contents of the "Summer Practice Guide Booklet" prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.

INDR 420 / NETWORK MODELS AND OPTIMIZATION
Sınıf: Credit: 3Precondition: INDR. 262 or consent of the instructor

Network flow models and optimization problems. Algorithms and applications. Minimum spanning tree problem. Shortest path problems. Maximum flow problems, minimum cuts in undirected graphs and cut-trees. The minimum cost network flow problem. Matching problems. Generalized flows. Multicommodity flows and solution by Lagrangean relaxation, column generation and Dantzig-Wolfe decomposition. Network design problems including the Steiner tree problem and the multicommodity capacitated network design problem; their formulations, branch-and-cut approaches and approximation algorithms.

INDR 430 / DECISION ANALYSIS
Sınıf: Credit: 3Precondition: (ENGR. 200 or ENGR. 201 or MATH. 201) or consent of the instructor

Tools, techniques, and skills needed to analyze decision-making problems characterized by uncertainty, risk, and conflicting objectives. Methods for structuring and modeling decision problems and applications to problems in a variety of managerial decision-making contexts. Structuring decision problems: Decision trees, model building, solution methods and sensitivity analysis; Bayes' rule, the value of information and using decision analysis software. Uncertainty and its measurement: Probability assessment. Utility Theory: Risk attitudes, single- and multiattribute utility theory, and risk management. Decision making with multiple objectives.

INDR 440 / PROJECT MANAGEMENT
Sınıf: Credit: 3Precondition: INDR. 262

Strategy with projects; integration of organization with projects; defining the project; estimating times and costs; developing a network plan; LP approach for CPM; PERT; scheduling resources; mathematical models for resource allocation; reducing project duration; mathematical model for crashing; progress and evaluation; control process; project closure audit process; international projects.

INDR 460 / OPERATIONS RESEARCH APPLICATIONS
Sınıf: Credit: 3Precondition: (INDR. 262 and INDR. 363)

Modeling and analysis of large-scale and complex systems; mathematical model building; the solution of these models with computational tools and post-optimality analysis for decision-making problems arising in a wide range of real-life applications; building effective linear, nonlinear, integer, network and stochastic programming models; using optimization software for the solution of these models and interpretation of the computer output; applications in transportation and logistics planning, data mining, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning.

INDR 471 / SERVICE OPERATIONS ANALYSIS
Sınıf: Credit: 3Precondition: (INDR. 262 and INDR. 343) or consent of the instructor

Distinctions of service operations. Measuring and benchmarking productivity: Data Envelopment Analysis (theory and applications). Service Quality. Capacity management and design in services. Capacity-constrained services and demand management (revenue management and optimization). Workflow analysis,productivity and quality management,response time (queuing) analysis. Customer relationship and loyalty issues (data-mining). Applications of analysis tools to several sectors such as health care, call centers, financial services, hotels and airlines.

INDR 473 / FINANCIAL ENGINEERING
Sınıf: Credit: 3Precondition: ENGR. 200

Investments and cash flows, present value and internal rate of return; fixed income securities, yield, duration and immunization; portfolio optimization, mean-variance models, Capital Asset Pricing Model and Arbitrage Pricing Theory; forwards, futures, swaps and risk hedging; pricing derivative securities and options, binomial market models, continuous market models and Black-Scholes equation.

INDR 481 / INFORMATION SYSTEMS
Sınıf: Credit: 3Precondition:

Introduction to technological and conceptual aspects of information systems; data and information modeling systems, design and analysis of modular information systems, workflow modeling and project management methodology, models for information systems process development and implementation, post-implementation of IT systems, information systems examples including materials requirement planning, enterprise resource planning and supply chain management.

INDR 483 / SUPPLY CHAIN MODELING AND ANALYSIS
Sınıf: Credit: 3Precondition: (ENGR. 200 and INDR. 262 and INDR. 372) or consent of the instructor

Application and development of mathematical modeling tools for the analysis of strategic, tactical, and operational supply-chain problems. Mathematical programming formulations for integrated planning of capacity and demand in a supply chain. Planning and managing inventories in multi-level systems, centralized versus decentralized control of supply chain inventories. Models and algorithms for transportation and logistics systems design and analysis. Supply chain coordination issues and achieving coordination through contracts. The role of information technology and enterprise resource planning (ERP) and Advanced Planning and Optimization software.

INDR 484 / LOGISTICS MANAGEMENT
Sınıf: Credit: 3Precondition: INDR. 262

Formulation of integer and combinatorial optimization problems Introduction to logistics systems; logistics network design, location models; warehouse design, tactical decisions, operational decisions; transportation management; planning and managing freight transportation; fleet management, vehicle routing problem.

INDR 486 / HEALTH AND HUMANITARIAN LOGISTICS
Sınıf: Credit: 3Precondition:

Principles of logistics and supply chain operations in the humanitarian context and health care systems. Broad understanding of how Operations Research techniques can be used in humanitarian operations and response functions by case studies. Mathematical modeling and solution of decision making problems in disaster mitigation, response and recovery operations that involve planning and design functions. Logistic problems arising in the healthcare sector such as ambulance assignment and routing in medical emergency response, blood collection and inventory management. Location of public service facilities such as hospitals and fire stations for long-term development.

INDR 491 / INDUSTRIAL ENGINEERING DESIGN I
Sınıf: Credit: 4Precondition: (INDR. 344 and INDR. 372 and INDR 481) or consent of the instructor

A capstone design course where students apply engineering and science knowledge in an industrial engineering design project proposed by companies from different sectors. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills.

INDR 492 / INDUSTRIAL ENGINEERING DESIGN II
Sınıf: Credit: 3Precondition:

A capstone design project on an industrially relevant problem. Students work on teams in consultation with various faculty and industrial members.

INDR 501 / OPTIMIZATION MODELS AND ALGORITHMS
Sınıf: Credit: 3Precondition:

Convex analysis, optimality conditions, linear programming model formulation, simplex method, duality, dual simplex method, sensitivity analysis; assignment, transportation, and transshipment problems.

INDR 502 / LOGISTICS AND SUPPLY CHAIN SYSTEMS
Sınıf: Credit: 3Precondition: INDR. 501 or consent of the instructor

Introduction to the concepts and terminology of logistics and supply chain management. Examination of components of logistics and supply chain systems such as purchasing, storage, production, inventory, and transportation systems. Analysis of interactions and trade-offs among these components using mathematical models and quantitative techniques.

INDR 503 / STOCHASTIC MODELS AND THEIR APPLICATIONS
Sınıf: Credit: 3Precondition:

The basic theory of the Poisson process, renewal processes, Markov chains in discrete and continuous time, as well as Brownian motion and random walks are developed. Applications of these stochastic processes are emphasized by examples, which are drawn from inventory and queueing theory, reliability and replacement theory, finance, population dynamics and other biological models.

INDR 504 / ADVANCED ENGINEERING MATERIALS MANUFACTURING
Sınıf: Credit: 3Precondition:

Advanced Engineering Material Manufacturing Processes will be studied for (i) metals and (ii) plastics and composites. Material removal, addition, and change of form processes will be studied for metals. In the plastics and composites part, similarities/differences, advantages/disadvantages, and proper selection of manufacturing processes such as Injection Molding, Compression Molding, Extrusion, Sheet Forming, Tow Placement, Pultrusion, Liquid Molding, Filament Winding, Pultrusion and Autoclave Processing will be illustrated with applications from aerospace, automotive, biomedical, sporting goods and civil infrastructure industries. Issues and their solutions with in-situ sensing and on- and off-line control will be studied with examples.

INDR 505 / MANUFACTURING SYSTEMS
Sınıf: Credit: 3Precondition:

This course will cover the basic concepts and techniques in hierarchical design, planning, and control of manufacturing systems. Topics include flow line and assembly systems, group technology and cellular manufacturing, just-in-time, flexible manufacturing systems.

INDR 506 / COMPUTER INTEGRATED MANUFACTURING AND AUTOMATION
Sınıf: Credit: 3Precondition:

This course introduces Computer Aided Design and Manufacturing (CAD/CAM) Systems, Computer Numerical Control (CNC) Machine Tools, Modern Sensors in Manufacturing, Machining Processes, Rapid Prototyping, and Fundamentals of Industrial Robotics.

INDR 508 / DISCRETE EVENT SIMULATION
Sınıf: Credit: 3Precondition: INDR. 503 or consent of the instructor

Topics on distribution fitting and generating random numbers and random variates will be covered as well as the statistical analysis of simulation output including some well-known analysis methods and variance reduction techniques. Recent developments in the area will also be discussed.

INDR 510 / MATHEMATICAL STATISTICS
Sınıf: Credit: 3Precondition: INDR. 252 or consent of the instructor

Review of descriptive statistics, importants populations statistics and their distributions. Point estimation, estimations methods and minimum-variance unbiased estimators. Testing hypothesis, Neyman-Pearson lemma and likelihood ratio tests. Estimation and testing in linear regression modes. Analysis of variance models. Nonparametric statistics methods. Bayesian testing and analysis.

INDR 511 / ADVANCED OPTIMIZATION METHODS
Sınıf: Credit: 3Precondition: INDR. 501 or consent of the instructor

Combinatorial optimization, structure of integer programs, pure integer and mixed integer programming problems, branch and bound methods, cutting plane and polyhedral approach, convexity, local and global optima, Newton-type, and conjugate gradient methods for unconstrained optimization, Karush-Kuhn-Tucker conditions for optimality, algorithms for constrained nonlinear programming problems, applications in combinatorial and nonlinear optimization.