CORE COURSES
MATH 101 - Calculus I
Trigonometric Functions and their basic properties, Inverse trigonometric functions, Logarithmic and exponential functions, Limit and continuity of functions of one variable, Derivative, Drawing function graph, Derivative applications, Optimization problems, Specific and uncertain (Riemann) Intergraly, Finding the area under the curve, Theorem, Integral Techniques, Fields, Surfaces, Volumes, Absolute Integrals, Series, Series.
Prerequisite : Two years of high school algebra, one year of high school geometry, precalculus math (or its equivalent).
Credit(s) : 5 ECTS : 6
MATH 102 - Calculus II
Sequences, Series, Convergence Tests, Three-dimensional coordinate system, vectors, point and cross products, lines and conics, vector functions and space curves, derivatives and integrals of vector functions, multivariable functions, limit and continuity, partial derivative, directional derivative and gradient vector, finding local and absolute extreme values and classification, Lagrange multiplier method, double and triple integrals and applications, vector fields, Green and Stokes theorem, curl and deviation, curve and surface integrals, Divergence theorem.
Prerequisite : MATH 101
Credit(s) : 4 ECTS : 6
PHYS 101 - Physics I
This course covers topics such as Newtonian mechanics, kinematics, dynamics, forces, work, kinetic and potential energy, momentum, circular and rotational motion, and gravity.
Corequisite: PHYS 101 Physics I and PHYS 101L Physics I Laboratory courses should be taken together.
Credit(s): 3 ECTS: 4
PHYS 101 L - Physics I Laboratory
This course covers topics such as Newtonian mechanics, kinematics, dynamics, forces, work, kinetic and potential energy, momentum, circular and rotational motion, and gravity.
Corequisite: PHYS 101 Physics I and PHYS 101L Physics I Laboratory courses should be taken together.
Credit(s): 1 ECTS: 2
PHYS 102 - Physics II
This course covers electromagnetism and basic electrical circuits, electric field, electric potential, capacitance, resistance, direct and alternating current circuits, magnetic fields and magnetic forces, electromagnetic induction, inductance and electromagnetic waves.
Corequisite: PHYS 102 Physics II and PHYS 102L Physics II Laboratory courses should be taken together.
Credit(s): 3 ECTS: 4
PHYS 102 - Physics II Laboratory
This course covers electromagnetism and basic electrical circuits, electric field, electrical potential, capacitance, resistance, accurate and alternating current circuits, magnetic fields and magnetic forces, electromagnetic induction, inductance and electromagnetic waves experiments.
Corequisite: PHYS 102 Physics II and PHYS 102L Physics II Laboratory courses should be taken together.
Credit(s): 1 ECTS: 2
CS 101 - Introduction to Programming I (Python)
This Course covers basic programming concepts such as variables, data types, iteration, functions, lists, dictionaries, and file I/O.
Credit(s): 4 ECTS: 6
CS 102 - Introduction to Programming II (Java)
The introduction to Object-oriented programming (Java) is a lesson. Basic programming knowledge is required. This Course covers variables, control structures, arrays, classes and objects, writing classes, object-oriented thinking, introduction to inheritance.
Prerequisite: CS 101
Credit(s) : 4 ECTS : 6
CHEM 101- General Chemistry
This course covers the application of chemistry on engineering and fundemental principles of chemistry. The course contents includes matter ant its properties, uncertainty and significant figures, dimentional analysis, atom and atomic theory, mass relationships in chemical reactions, reactions in aqueous solutions, gases, thermochemistry, electronic structure of atoms, periodic table, chemical binding, liquids and solids, physical properties of solutions, thermodynamics and electrochemistry.
Prerequisite: -
Credit: 4 ECTS: 6
BIO 102-Biology
This course covers the understanding of biological mechanism of living organism from engineer perspective and provide knowledge about biological problems that require engineering expertise to solve them. The course contents include covers the fundamental aspects of General Biology under the topics of cell, genetic, evolution, plant and animal biology and ecology.
Prerequisite: -
Credit: 3 ECTS: 4
IE 102-Introduction to Industrial Engineering
This course covers the main Industrial Engineering concepts; production and service operations along with many subtopics. The course content includes all the mandatory courses that students will take on their following years and gives out basic terminology and introduces the students to the basics of these topics.
Prerequisite: -
Credit: 2 ECTS: 2
ENEN 101- English for Engineering I
Cambridge English for Engineering “develops the communication skills and specialist English language knowledge of engineering professionals, enabling them to communicate more confidently and effectively with colleagues and customers. The ten standalone units cover topics common to all kinds of engineering such as procedures and precautions; monitoring and control; and engineering design. Authentic activities, from describing technical problems and suggesting solutions to working with drawings, make the course relevant and motivating.” The book is accompanied by a booklet with supplementary materials prepared by the course instructors. Students are expected to develop their specific-academic English skills by participating in and contributing to class discussions. Also, they will have the opportunity to give an oral presentation of their choice and/or the instructor’s. By the end of the course, students will be able to achieve the learning outcomes mentioned below.
Prerequisite: -
Credit: 4 ECTS: 4
ENEN 102- English for Engineering II
Cambridge English for Engineering “develops the communication skills and specialist English language knowledge of engineering professionals, enabling them to communicate more confidently and effectively with colleagues and customers. The ten standalone units cover topics common to all kinds of engineering such as procedures and precautions; monitoring and control; and engineering design. Authentic activities, from describing technical problems and suggesting solutions to working with drawings, make the course relevant and motivating.” The book is accompanied by a booklet with supplementary materials prepared by the course instructors. Students are expected to develop their specific-academic English skills by participating in and contributing to class discussions. Also, they will have the opportunity to give an oral presentation of their choice and/or the instructor’s. By the end of the course, students will be able to achieve the learning outcomes mentioned below.
Prerequisite: ENEN 101
Credit: 4 ECTS: 4
HIST 101- Atatürk’s Principles and the History of Turkish Revolution – I
In this course, significant developments in the late Ottoman and early Republican histories starting with the French and Industrial Revolutions are taught within the context of global developments.
Prerequisite: -
Credit: 2 ECTS: 2
HIST 102- Atatürk’s Principles and the History of Turkish Revolution – II
In this course, political, economic, social and cultural developments since the establishment of the Republic are taught within the context of global developments.
Prerequisite: HIST 101
Credit: 2 ECTS: 2
ME 112- Computer Aided Technical Drawing
To explain drawing tools used in course and their usage, Description of Technical Drawing and Descriptive Geometry, Procedures of projection, Types of projection, Perspective, Create of epure, Projections of points, Positions and projections of lines, projection drawings of 3D geometrical objects, Types of lines and line weights, Scale, Rules of dimensioning, Methods of line weighting, Horizontal and vertical interfaces, Description of AutoCAD, Display, New files, open files, Union of files, Commands of joint work with different files, 2D drawing; drawing commands, Modify commands, View commands, Layers, Settings of dimensioning according to architecture and civil engineering and to make dimensioning, Create and use of block and library, Text and hatch, Plot.
Prerequisite: -
Credit: 3 ECTS: 4
GEN 200 - Engineering Economics
This Course is designed to inform students about the modelling and analysis of production systems. After you understand the nature and context of Production systems and the key decision areas of various phases throughout a system life, it will focus on strategic, long-range issues, especially for the design phase. A wide range of designs, which are encountered in Modern manufacturing environments, will be discussed with various quantitative methods and modeling approaches.
Prerequisite: -
Credit(s): 3 ECTS: 4
MATH 201 – Linear Algebra
Basic concepts of Linear algebra, solutions of Linear equation systems, vectors and Matts, vector subspaces, linear independence and base, determinants, characteristic value and characteristic vectors, other topics and applications.
Prerequisite:
Credit(s): 4 ECTS: 5
MATH 202 - Differential Equations
Examination of First order differential equations, asset and uniqueness theorem/solutions and applications of various differential equations from the First order/linear differential equations with variable coefficient and constant coefficient of Higher order Basic theorems/ambiguous coefficients for Fixed coefficient linear equations and operator method/method of exchange of Parameters/Mertebe Drop Method/Variable conversion method/Euler-Cauchy differential equation/High order full Solution of initial value problems with differential equations/Laplace Method/Linear differential equation systems.
Prerequisite: MATH 102
Credit(s): 4 ECTS: 5
IE 201 - Operations Research I
Introduction to Operations Research, Linear programming, Integer variable linear programming models, Transport models, Network models, other optimization models
Prerequisite: MATH 101
Credit(s): 3 ECTS: 5
IE 202-Operations Research II
The Linear Programming Problem, Matrix notation, The Extreme Point Theorem, Basic Solutions, The Simplex Method, Artificial variables, Duality, The Duality Theorem, Sensitivity Analysis, Integer Programming Problems, Cutting Plane Methods, Branch and Bound Methods, Other Optimization methods.
Prerequisite: MATH 201 and IE 201.
Credit(s): 3 ECTS: 5
IE 203-Fundamentals of Microeconomics
At the beginning of the course, scarcity will be emphasized as the basis of the economic problem, the problems that the economic system has to solve, and the role of the market system in solving these problems will be examined. Following this, the concept of opportunity cost and production possibilities curve will be examined. After emphasizing the concepts of marginal cost and marginal utility, the order will come to the standard subjects of microeconomics. These are: supply and demand laws, supply and demand elasticity, consumer theory, production and cost theories. In the last part of the course, under the conditions of full competition, under the assumption of profit maximization, the firm will be examined as monopoly contrasting market types and the results of these types of markets will be explained.
Prerequisite: MATH 101
Credit(s): 4 ECTS: 5
MATH 211 - Probability and Statistics for Engineering
Graphical representations of Data; Probability Axioms; Bayesian theorem; Discrete distributions (geometric, binomial, poisson); Continuous Distributions (Normal, exponential, weibull); Point and range estimation; Probability functions; Hypothesis tests for one or two population ratios, averages and variances.
Prerequisite: -
Credit(s): 3 ECTS: 5
IE 212 - Statistical Models
Introduction to Statistical Models, Point Estimation, Statistical Intervals, Hypothesis Tests, Simple Linear Regression and Correlation, Variance Analysis, Introduction to Multi-Linear regression, Introduction to Test Design
Prerequisite: MATH 211
Credit(s): 3 ECTS: 5
IE 291 Summer Training I
To investigate the Company for internships, to apply for internship work, to prepare the necessary documents and documents for internship and to send them to the relevant unit, to internships in a company approved by Industrial Engineering, information and Write experiences in report format.
Prerequisite: -
Credit(s): 0 ECTS: 0
MATH 300-Numerical Analysis for Engineers
The solutions of linear/nonlinear equations, and systems, interpolation and polynomial approximation, numerical differentiation & integration, the solution of differential equations, curve fitting, numerical optimization
Prerequisite: MATH 101 and MATH 201
Credit(s): 4 ECTS: 5
IE 301-Special Topics in Industrial Engineering
To define the problem with data, how to read and understand research paper and problems, select the most appropriate method for project, report a study in research paper format.
Prerequisite: IE 201 and MATH 211
Credit(s): 2 ECTS: 2
IE 303-Operations Research III
Introduction to Nonlinear Programming and Network Models, Shortest-Path Problems, Maximum-Flow Problems, CPM and PERT, Minimum-Cost Network Flow Problems, Solving NLPs with One Variable, Golden Section Search, Unconstrained Maximization and Minimization with Several Variables, The Method of Steepest Ascent and Lagrange Multipliers, Other NLP Methods
Prerequisite: MATH 211 and IE 202
Credit(s): 3 ECTS: 6
IE 304-Facility Planning and Design
This course covers design techniques for solving problems in plant layout, including topics such as site location, calculation of facility requirements, production activity, non-production activity, material handling, storage systems and group technology layout. Computer aided layout design techniques and evaluation of design software are also included.
Prerequisite: IE 202
Credit(s): 3 ECTS: 7
IE 312 - Engineering Quality Control
It presents the design of modern quality control techniques and statistical process control systems, acceptance sampling and process improvement.
Prerequisite: IE 212
Credit(s): 3 ECTS: 7
IE 361-Production Planning and Control
To introduce the fundamental concepts, tools and methods of production planning and control. The main topics are forecasting methods, aggregate production planning, inventory management concepts, static lot sizing models (Economic Order Quantity, Economic Production Quantity, Quantity Discounts), dynamic lot sizing models (Heuristics and Wagner-Whitin algorithm), inventory review policies, Master Production Schedule (MPS), Material Requirements Planning (MRP) and capacity planning.
Prerequisite: IE 201 and MATH 211.
Credit(s): 3 ECTS: 6
IE 381 - Simulation
Simulation applications of complex systems in industrial and service organizations are the focus of this course. Course topics include modeling and programming simulations in one or more high-end computer packages; input probability distribution modeling; generate random numbers; statistical analysis of simulation output data.
Prerequisite: IE 212
Credit(s): 4 ECTS: 7
IE 391- Summer Training II
Investigating the company to do an internship, Applying to a company to do internship work ,Prepare the necessary documents and documents for the internship and submit them to related units ,Do an internship work in a company approved by Industrial Engineering, Write the information and experiences acquired in the internship according to the report format.
Prerequisite: -
Credit(s): 0 ECTS: 0
ENEN 401-Technical Writing and Presentation
Prerequisite: -
Credit(s): 3 ECTS: 3
GEN 401- Worker Health and Occupational Safety I
Within the scope of the course, the awareness of the students about occupational health and safety, their duties, responsibilities and legal rights are taught and taught in business life. Moreover, it is aimed to gain awareness and occupational safety culture in order to work in a healthy and safe environment. Occupational Health and Safety Law No. 6331, Labor Law No. 4857, Social Insurance and General Health Insurance Law No.5510 are covered.
Prerequisite: -
Credit(s): 2 ECTS: 2
GEN 402- Worker Health and Occupational Safety II
Within the scope of the course, the awareness of the students about occupational health and safety, their duties, responsibilities and legal rights are taught and taught in business life. Moreover, it is aimed to gain awareness and occupational safety culture in order to work in a healthy and safe environment. Occupational Health and Safety Law No. 6331, Labor Law No. 4857, Social Insurance and General Health Insurance Law No.5510 are covered.
Prerequisite: GEN 401
Credit(s): 2 ECTS: 2
GEN 404-Innovation and Entrepreneurship
Prerequisite: -
Credit(s): 2 ECTS: 2
IE 491 - Senior Project I
This course introduces the student with background necessary for solving an open engineering problem. Thus it can be considered as a course that prepares the students to the Senior Project II course, which is the one where they actually apply all their knowledge and skills gained throughout their program to solving an actual engineering problem.
Prerequisite: -
Credit(s): 0 ECTS: 2
IE 492 - Senior Project II
The students apply all their knowledge and skills gained throughout their program to solving an actual engineering problem. It involves applying skills gained in project management, software design and implementation, evaluation and assessment methodology, technical writing and presentation.
Prerequisite: IE 491
Credit(s): 0 ECTS: 6
DEPARTMENTAL AREA ELECTIVES COURSES
IE 240-Introduction to Industry 4.0
Industry 4.0 aims to support cyber-physical systems and processes physically, to support human beings physically, to create virtual factory environments, to communicate objects to each other and to people, and to make decentralized mobility decisions on this issue. This course aims to equip students with the competence of the Industrial 4.0 components in the following areas: Internet of things, Intelligent and Collaborative Robots, Big Data and Analysis, Virtual Reality, Contemporary Production Systems and Technologies, Artificial Intelligence, Cyber Security, Cloud System, Modeling and Simulation.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 349-Blockchain:Case Studies
Blockchain is one of the most important technologies that will affect law and trade for many years. Blockchain is also one of the most interdisciplinary areas that brings together new questions and opportunities at the intersection of technology, business and law. This Course is designed to use interdisciplinary nature. An overview of the technology behind the Blockchain will be presented, and the current and potential real-world applications in the field of technology, business and law are explained.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 350 –Industrial Nanotechnology
The IE-350 covers the recent improvements on nanotechnology in different industry areas.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 401-Topics in Industry 4.0
Industry 4.0 aims to support cyber-physical systems and processes physically, to support human beings physically, to create virtual factory environments, to communicate objects to each other and to people, and to make decentralized mobility decisions on this issue. This course aims to equip students with the competence of the Industrial 4.0 components in the following areas: Internet of things, Intelligent and Collaborative Robots, Big Data and Analysis, Virtual Reality, Contemporary Production Systems and Technologies, Artificial Intelligence, Cyber Security, Cloud System, Modeling and Simulation.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 405-Multi Criteria Decision Making Methods
Fundamental concepts in decision making; decision making models; application of decision making rules; evaluation of decisions; AHP; ANP; TOPSIS; VIKOR.
Prerequisite: IE 201 and IE 202
Credit(s): 3 ECTS: 6
IE 407-Occupational Health and Safety in Industrial Engineering
Identify common industrial accidents, types and causes of accidents.Identify industrial hazards during the completion of safety audits and when preplanning new facilities/operations. Determine methods for controlling industrial hazards through the application of either engineering principles or administrative programs. Evaluate the effectiveness of control methods implemented. FMEA, Fine- Kinney and other risk analysis methods are implemented.
Prerequisite: IE 201 and IE 202
Credit(s): 3 ECTS: 6
IE 411 - Decision Support Systems in Engineering
Introduction to Decision Support Systems, Fundamentals of spreadsheet modeling, Working with Data and Models, Visual Basic Application, Implementing Optimization through VBA
Prerequisite: CS 101
Credit(s): 3 ECTS: 6
IE 412 - Forecasting Methods and Applications
Basic quantitative methods of forecasting are introduced. Exploratory, time series and qualitative forecasting methods will be discussed. In this respect time series decomposition, exponential smoothing, regression and Box-Jenkins models will be covered. Judgmental forecasting will also be briefly mentioned. Applications in various fields will be introduced and engineering applications will be emphasized. ARCH and GARCH models may be introduced.
Prerequisite: IE 212
Credit(s): 3 ECTS: 6
IE 417-lE Through Computing
This course focus on to understand main industrial engineering methods and how they apply to real engineering problems. To apply these methods to solve practical problems we will use MATLAB program. Topics covered include : an invertory model, facility location, the knapsack problem, the traveling salesman problem, the assignment proble, scheduling, shortest path, network models, Linear / nonlinear models.
IE 420-Special Topics in Industrial Engineering
To define the problem with data, How to read and understand research paper and problems.Select the most appropriate method for project, Report a study in research paper format.
Prerequisite: 4rd year student
Credit(s): 3 ECTS: 6
IE 428 – Introduction to Fuzzy Logic
The fundamentals of fuzzy sets, fuzzy rules, decision-making systems, fuzzy control systems, optimization using fuzzy sets and numbers, and advanced topics. Algorithms and methods for industrial engineering applications, Neuro-fuzzy systems (ANFIS).
Prerequisite:-
Credit(s): 3 ECTS: 6
IE 431 - Scheduling
This course gives an introduction to a broad range of scheduling problems that arise in both manufacturing and service organizations. A variety of scheduling techniques, starting from basic principles and leading to algorithms and computerized scheduling systems will be examined. The techniques to problems arising in production scheduling, project management and service scheduling will be applied .The emphasis is on practicality, with the goal of bringing the student up to the position where he or she knows where to look and what to expect to be able to do when faced with a situation that seems to involve some sort of scheduling problem.
Prerequisite: IE 201
Credit(s): 3 ECTS: 6
IE 432 - Queuing Theory
Theoretical foundations, models and techniques of queueing theory. Rigorous treatment of elementary through advanced queueing systems and queueing networks. Topics include Markov Renewal and Semi-Regenerative Processes.
Prerequisite: IE 303
Credit(s): 3 ECTS: 6
IE 433 - Dynamic Programming
Introduction to Dynamic Programming, shortest path problems, Resource Allocation (including Investments), Knapsack Problems, Equipment Replacement, Decision Trees and Dynamic Programming Networks, Stochastic Dynamic Programming
Prerequisite: IE 201
Credit(s): 3 ECTS: 6
IE 434 - Stochastic Programming
Many optimization problems involve uncertainty, where the eventual outcome depends on a future random event. Stochastic programming is concerned with decision making in the presence of uncertainty. Topics include modeling uncertainty in optimization problems, algorithms for stochastic programming, and approximation and sampling methods. Applications discussed will include portfolio optimization.
Prerequisite: IE 303
Credit(s): 3 ECTS: 6
IE 442 - Game Theory
This course is a rigorous investigation of the evolutionary and epistemic foundations of solution concepts, such as rationalizability and Nash equilibrium. It covers classical topics, such as repeated games, bargaining, and super modular games as well as new topics such as global games, heterogeneous priors, psychological games, and games without expected utility maximization. Applications are provided when available.
Prerequisite:-
Credit(s): 3 ECTS: 6
IE 460 - Adaptive Optimization
Introduction to adaptive search, simulated annealing, genetic algorithm, tabu search, ant colony method, particle swarm optimization, introduction to constraint handling.
Prerequisite: CS 101 IE 202
Credit(s): 3 ECTS: 6
IE 461 - Advanced Optimization Methods
Detailed analysis of various optimization methods, including linear, nonlinear, and mixed-integer programming, dynamic programming, network modeling, and meta-heuristics and their applications on various platforms are given in this course.
Prerequisite: IE 202
Credit(s): 3 ECTS: 6
IE 462 - Computational Optimization
An introduction to nonlinear programming. Models, methods, algorithms, and computer techniques for nonlinear optimization are studied. Students investigate contemporary optimization methods both by implementing these methods and through experimentation with commercial software. Nonmajors wishing to gain practical optimization skills are welcomed in this course. A course project will allow students to explore optimization methods and practical problems directly related to their interests.
Prerequisite: IE 202
Credit(s): 3 ECTS: 6
IE 470-Digital Transformation and Technology Management
Technology management is a set of management disciplines that allows organizations to manage their technological fundamentals to create competitive advantage. Digital transformation is the profound transformation of business and organizational activities, processes, competencies and models to fully leverage the changes and opportunities of a mix of digital technologies and their accelerating impact across society in a strategic and prioritized way, with present and future shifts in mind. In this course, This class is designed to generate critical thinking and reasoning associated with managing digital transformation and examining the secondary and tertiary impacts associated with this change. Students will understand how to better select technological opportunities and understand organizational challenges that prevent these technologies from being successful. The class consists of case studies, and story-telling among students. As such, students will be asked to view the firm as a whole and analyze the various functional areas of business and its external factors.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 472 - Supply Chain Management
Introduction to supply chain management, strategy, products and capacity, manufacturing and service processes, supply chain processes, global sourcing and procurement, supply and demand planning and control.
Prerequisite: IE 361
Credit(s): 3 ECTS: 6
IE 473 - Lean Manufacturing
This course will introduce undergraduate students and practicing engineers to lean production principles and practice. Industrial engineers and others responsible for continuously improving operational performance must develop systems that are fast, flexible, focused and friendly for their companies, customers and production associates. The course will provide the student with an introduction to lean production describing the background behind its development and how the evaluations and assessments of production systems are performed. Lean production tools and techniques will be described and in some cases demonstrated in simulation exercises. Issues relating to employee involvement, improvement teams, training and culture will be presented. Planning for lean process implementation and the necessity of sustain improvements will be discussed. Examples of application in manufacturing and business processes will be presented.
Prerequisite: -
Credit(s): 3 ECTS: 6
IE 474 - Logistics
Supply chain operating practices and principles (i.e., the fundamentals of materials and logistics management). Studies and analyzes the dynamic nature of supply chain management for products and services and addresses the impact of the global economy on the management process. The course also develops a solid grounding in the theory of supply chain design, which includes strategies for customer service, quality, logistics, inventory management, and integrated supply chain management. Includes forecasting, postponement, sourcing (in particular, global sourcing), and network design, and illustrates these concepts through cases.
Prerequisite: -
Credit(s): 3 ECTS: