Department of Industrial Engineering
Chairman’s Welcome Message

Dear prospective students, parents, guardians and staff, I am glad to introduce you to the Industrial Engineering Department here at NEU.

The field of Industrial Engineering is an inter-disciplinary occupation that integrates various unique techniques and concepts mainly for optimizing complex operations, systems and/or organization to evolve and install efficient, effective and improved systems involving people, capital, skills, information, equipment, energy and resources. Industrial engineers are unique breeds that use and apply in-depth skills of mathematics, physics, chemical sciences and those of social sciences in an appropriate mix with basic engineering techniques to assess, design, specify, predict, and evaluate various outcomes from systems and operations to envision, evolve and emerge novel systems, processes or circumstances (physical or social) for better utilization of resources (human, materials and money) and machines. Industrial engineering forms the link between management goals and operational performance.

Industrial Engineering studies lead to various sub-specialties such as operations research, systems engineering, manufacturing engineering, production planning and scheduling, management science and engineering, financial and cost engineering, ergonomics or human factor engineering, safety engineering amongst others. Industrial Engineering training prepares graduates for employment in multidisciplinary sectors especially those responsible for planning and scheduling, optimizing and improving production practices in various firms be it governmental, manufacturing, research and consultancy, healthcare systems, financial institutions, tax and insurance and utility management to mention a few.

As an enrolled Industrial Engineering student at NEU, you will become a new breed that is data analytics savvy through the integration of the Department with various research groups such as the Applied Artificial Intelligence Research Centre (AAIRC). Here at NEU, the curriculum is enhanced and flexible for students to leverage their skills in cutting-edge researches that are multi-disciplinary cutting across various engineering fields such as biomedical, food, material science and nanotechnology, electrical, petroleum and gas, computer and IT, as desired by the students.

I enjoin you to surf through our webpage for further information and resources. I am glad that you are motivated and inspired to commence your Industrial Engineering career with us here at Near East University. Trust you will be highly supported in all facets as you begin your University life. Finally, we all in the Industrial Engineering Department heartily welcome and wish you all the best in your quest for future studies.

Assist. Prof. Dr. Kehinde Adewale ADESINA
Deputy Chairman of Industrial Engineering
[email protected]

  • Basic Departmental Courses
  • Departmental Courses
  • Departmental Elective Courses
  • Non-Departmental Elective Courses
Course CodeCourse NameCreditECTSPrerequisiteClass HoursLABPracticalLearning Sessions
1. YEAR / 1. SEMESTERPHY101General Physics I46-3202111
CHM101General Chemistry I46-3200221
MTH101Mathematics I46-4002110
ENG101English I35-3000111
IND 101Fundamentals of Industrial Engineering35-4000102
YİT101Turkish for Foreign Students I22-2000201
TUR 101Turkish Language I22-2002002
1. YEAR / 2. SEMESTERPHY102General Physics II46PHY1013202210
MTH102Mathematics II46MTH1014002110
TD 102Technical Drawing3522
ENG 102English II35ENG1013000111
YİT102Turkish for Foreign Students II22YIT 1012000201
TUR 102Turkish Language II22TUR 1010002002
IND 102Information Technologies for Industrial Engineering364000221
2. YEAR / 1. SEMESTERAIT 101Atatürk Principles and the History of Turkish Revolution I22-2000201
AIT 103Principles of Atatürk and the History of Turkish Revolution I222000201
ECC 101Introduction to Computers and  Programming35-2203110
IND 201Elements of Linear Algebra36-4000112
IND 203Statistics I364000221
IND 205Production & Operations Management I364000221
NTENon-Technical Electives353
2. YEAR / 2. SEMESTERAIT 102Principles of Atatürk and Recent Turkish History II22AIT 1012000201
AIT 104Principles of Atatürk and the History of Turkish Revolution II22AIT 1032000201
ECC 108Object Oriented Programming352200201
IND 202Graphing & Optimization Principles37 6-4000201
IND 204Statistics II364000112
IND 206Production & Operations Management II364022202
IND 208Factory Internship010002110
NTENon-Technical Elective343000112
3. YEAR / 1. SEMESTERIND 301Analysis of Service Systems474002110
IND 303Operational Research I474003210
IND 31XTechnical Elective364002110
IND 31XTechnical Elective364000310
NTENon-Technical Elective343000310
3. YEAR / 2. SEMESTERIND 302Entrepreneurship & Innovation454001011
IND 304Operational Research I46-4000112
IND 31XTechnical Elective36-4000112
IND 31XTechnical Elective36-4001112
NTENontechnical Elective36-30-----
IND 306Service Internship01-0000000
4. YEAR / 1. SEMESTERIND  401Transforming Ideas to Projects47-2300112
IND 403Auditing Productivity47-3100112
IND 41XTechnical Elective36
IND 41XTechnical Elective36
NTENon-Technical Elective34--------
4. YEAR / 2. SEMESTERIND 402Strategy of Quality44-4000111
IND 404Designing the Factory4440
IND 41XTechnical Elective3440
IND 41XTechnical Elective3440
NTENon-Technical Elective34-30-----
IND 400Graduation Project310-3000111

PS: Problem Solving C: Complementary R:Reformative T:Tutorial

Technical Elective Courses 31X

Course CodeCourse NameCreditECTSPrerequisiteClass HoursLABPracticumLearning Sessions
IND 311Safety & Occupational Management34-3000111
IND 312Lean Thinking34-3202111
IND 313Implementing Industry 4.034-3001110
IND 314Decision Theory34-3000111
IND 315Forecasting34-3001110
IND 316Supply Chain & Logistics34-3001110
MTH323Numerical Analysis35-3001110
BME 340Modeling of Biological Systems
ECC 311Management of Information Systems

PS: Problem Solving C: Complementary R: Reformative T: Tutorial

Technical Elective Courses 41X

Course CodeCourse NameCreditECTSPrerequisiteClass HoursLABPracticalLearning Sessions
IND 411Six Sigma34-3000111
IND 412Digitalization & Industry 4.034-3001110
IND 413Economic Principles in Industrial Engineering34-3201121
IND 414Scheduling36-3202111
IND 415Fuzzy Systems36-3202111
IND 416Advanced Operations Management36-3202111
IND 417Location Techniques & Problems36-3000111
IND 434Quality Engineering36-3000220
EE 432Mechatronics36-3202111
EE 463Image Processing36-3000111
BME 448Micro and Nano Technologies in Biomedical Engineering35-3202111
BME 401Instrumental Analysis-
BME 431Cardiac Mechanics-
BME 441Orthopedic Biomechanics-
BME 446Figure Analysis and Machine Vision-
BME 435Bioinformatics
EE 437Robotics Systems-
ISE 412Health Information Management35-3000111
ISE 413Strategic Information Systems Management35-3001110
ECC 412Database Applications
PGE 436Simulating of Geosystems35-2100111
ME 426Introduction to Finite Elements363002110
ME 429Computer Aided Design (CAD)36-3000220
ECC 404Artificial Neural Network36-3000220

Restricted Non-Technical Elective Courses

Course CodeCourse NameCreditECTSPrerequisiteClass HoursLABPracticalLearning Sessions
MAN101Introduction to Management35-3000220
ECON101Introduction to Economics35-3000220
FRE101French I35-3001110
FRE102French II35-3000111
GER101German I35-3001110
GER102German II35-3201121
PHIL101Introduction to Philosophy35-3202111
HIST103History of Civiliztion35-3202111
POL101Political Science I35-3202111

PS: Problem Solving C: Complementary R: Reformative T: Tutorial


General Physics I (course type: required; course code: PHY 101)
Course objectives: The objective of this course is to provide students with a thorough understanding of the basic concepts of physics, rigorous description of physical phenomena and to improve students’ problem-solving abilities.
Course content: Measurement, Estimating, Kinematics in one Dimension, Vectors, Newton’s Laws of Motion, Application of Newton’s Laws, Work and Energy, Conservation of Energy, Linear Momentum and Collisions.

General Chemistry I (course type: required; course code: CHM 101)
Course objective: By the end of this course, students should understand the fundamental concept of atomic theory, chemical equations, thermochemistry and hands-on laboratory works.
Course content: Introduction to basic principles of chemistry, atomic structure, molecule and ions, chemical reactions and balancing chemical reactions, precipitation reactions. Acid-Base reactions, redox reactions and balancing. Redox reactions. Stoichiometric relationships in chemical reactions, concentration and dilution, Acid base titration, redox titration. Gases.

Calculus I (course type: required; course code: MTH 101)
Course objective: At the end of this course students are expected to have a clear understanding of the ideas of Calculus as a solid foundation for subsequent courses in mathematics and other disciplines as well as for direct application to real life situations.
Course content: Functions, limits and continuity. Derivatives. Mean value theorem. Sketching graphs. Definite integrals, infinite integrals (antiderivatives). Logarithmic, exponential, trigonometric and inverse trigonometric functions and their derivatives. L’Hospital’s rule. Techniques of integration. Applications of the definite integral, improper integrals.
English I (course type: required; course code: ENG 101)
Course objective: This course aims at enabling students to understand their lessons and to express themselves in English Language.
Course content: Within a thematic approach, reading, writing, speaking, and listening skills will be developed, with a language component in order to build onto the foundation established at the Department of English.  In speaking and writing, students will be encouraged to use language forms that they learn through reading and listening. Under broad themes (or threads), the students will be exposed to extensive reading both in and outside the classroom. They’ll be encouraged to read a variety of texts such as short stories, academic articles, research reports, reviews and journalistic texts as well as chapters from textbooks.

Fundamentals of Industrial Engineering course type: required; course code: IND 101)
Course objectives: The course is to avail the students the basic knowledge on industrial engineering concepts. The students will be taught rudiments of all the application areas in industrial engineering.
Course content: The history of Industrial Engineering, Industrial and System Engineering, Facility Planning, Material Handling Systems, Distribution and Rotation, Job Design, Quality Control, Wage System, CAD/CAM, Robotic and automation, Human Factors, Resource Management, Finance Management and Engineering Economy, Determinate Operation Research, Stochastic Models, Simulation, Project Management, Probability and Statistic, Staff Management, Computer and Information Systems, Management Systems.

Technical Drawing, I (course type: required; course code: ECC 103)
Course objective: The aim of this course is to provide students with the basics of AutoCAD, be able to transform data into graphical drawings and also draw orthographic projections and sections, learn basic engineering drawing formats.
Course content: Introduction to CAD. Principles of engineering drawing (1st and 3rd angle orthotropic projections), drawing methodology stages, line work and lettering, isometric and oblique projections, drawing layouts (working drawings and assembly drawings), machine drawing features, sections and sectional views, geometrical constructions and dimensioning principles.

Turkish for Foreigners (course type: required; course code: YIT100)
Course objective: The aim of this course is to help students interact with non-English speaking people within their community.
Course content: Listening, written expression, oral expression, reading, conversation, grammar and translation.

Atatürk’s Princip. & Turkish Reform (course type: required; course code: AIT 101)
The aim of Atatürk’s Principles and Reforms History lesson and related terms; The reasons of Ottoman Empire’s Fall; The process of passing from Ottoman Empire to the republic; Turkish Independence War, Atatürk’s Principles and Reforms and Atatürkist Thought System.

General Physics II (course type: required; course code: PHY 102)
Course objectives: General Physics II is the second part of General Physics I. The aim of this course is to help students apply knowledge of physics everyday life activities and through problem solving exercises in the fields of Electrical and Electromagnetics point of view.
Course content: Centre of Mass, Rotation About a Fixed Axis ( angular quantities, kinematic equations, torque, moment of inertia, rotational kinetic energy), General Rotation, (the torque vector, angular momentum, conservation of angular momentum) Static Equilibrium, Elasticity and Fracture (statics, stability and balance, elasticity, stress, strain, fracture, trusses and bridges, arches and domes), Fluids (density, pressure, Pascal’s principle, bouyancy and Archimedes principles, fluids in flow, Bernoulli’s equation). Prerequisite: PHY 101

Calculus II (course type: required; course code: MTH 102)
Course objectives: This course aims at helping students further develop their problem solving and critical reasoning skills and to prepare them further study in mathematics, the physical sciences, or engineering.
Course content:  Plane and polar co-ordinates, area in polar co-ordinates, arc length of curves. Limit, continuity and differentiability of function of several variables, extreme values, method of Lagrange multipliers. Double 
integral, triple integral with applications. Line integrals, Green’s theorem. Sequences, infinite series, power series, Taylor’s series. Complex numbers.   Prerequisite: Math 101

English II (course type: required; course code: ENG 102)
Course objective: This course aims to take students to intermediate advanced level of English.
Course content: This course will be a continuation of ENG 101, with greater emphasis on student autonomy, research skills and synthesizing ability.   All the activities and tasks in ENG 101 will continue within a thematic approach.  In Eng-102, the ability to evaluate, analyze and synthesize information in written discourse will be highlighted.  Documentation in writing will be introduced at the beginning of the course, in order to solidly establish the skill by the end. Students will learn the discourse patterns and structures to be used in different essay types. Students will write two essays in ENG-102.  1. An academic essay with proper documentation.  2. A project report to be prepared throughout the course, including a literature review (displaying analysis/synthesis skills, and documentation), a definition/elaboration of a problem (using definition, description, cause/effect and comparison/contrast patterns) and suggestions for solution (including personal views and argumentation). Local and regional topics, personalizing the research and viewpoints will be recommended to prevent plagiarism. Instructors will have to keep in close contact with the students to guide them throughout the process.

Technical Drawing (course type: required; course code: TD 102)
Course Objectives: The goal of this course is to help the students understand techniques in engineering drawings, sketches, geometry and projections. Basically, students will learn fundamentals of scaling, dimensioning and projecting at various views.
Course content: Introduction to technical drawing. Drawing instruments and their use, lettering, lines, geometry of straight lines, scale drawing. Dimensions. Development of surfaces, shape description, selection of views, projecting the views. Pictorial drawing, diametric trimetric projection. Isometric projection, oblique projection. Perspective drawing cross section.

Information Technologies for Industrial Engineering (course type: required; course code: IND 102)
Course Objectives: This course serves as an introduction to computer terminology and computer equipment and provides fundamental concepts for using PC-based software.
Course content: computer hardware and its operation, operating systems, application software, networks and computer communications, the Internet and the World Wide Web, development of information systems, and programming. Emphasis is placed on the use of computers to assist with business issues. The impact of computers on our lives is also explored.

Elements of Linear Algebra (course type: required; course code: IND 201)
Course Objectives:
Course content: Vector, length and point multiplication, planes, Matrices and linear equations, Gauss elimination, elimination with matrix, the rules of matrix operations, taking the matrix inverse by Gauss-Jordan method, factorization, LU discrete upgrading, Transpose, Permutations matrices, vector spaces and sub-spaces, zero space, row, column and left zero space, Rank, Ax = b solution, Linear independence, bases and dimension, Orthogonality, projections, last-squares approximation, orthogonal bases and Gram-Schimidt, Determinants, Cofactors, Cramer's rule, Eigenvalues and Special vectors, diagonal matrix of upgrading, the application of differential equations, symmetric, positive defined and similar matrices, complex vectors and matrices, Hermityen  and unitary matrices, Applications.

Introduction to Computers and Programming (course type: required; course code: ECC 101/COM 101)
Course objectives: The goal of this course is to help students know program language evolution and classification and basic computer architecture. Students will be able to solve basic numerical computation in binary, design and implement simple assembly language programs at the end of the course.
Course content: An introduction to fundamental concepts. Algorithms and flowcharts as tools of program design process. Basic program structure. Input/output statements. Control structures: Selection and repetition statements and arrays. Concept of modular programming: Procedures and Functions. An introduction to fundamental concepts, construction of digital computer system hardware and software. Machine language concepts and internal data representations, integer, real and character data types. Algorithms and flowcharts as tools of program design process. Basic program structure. Programming by using sequencing, alteration and iteration methods.

Statistics I (course type: required; course code: IND 203)
Course objectives:
Course content: Basic probability and random variables, specific distributions and their applications, relationships between distributions, functions of random variables, moment generating functions, random sampling, data description, and fundamental sampling distributions.

Production and Operation Management I (course type: required; course code: IND 205)
Course objectives:
Course content: Forecasting, , Long-Term Capacity Planning, Aggregate Production Planning, Inventory Management, Material Requirements Planning This course aims at teaching both basic production management concepts and also some quantitative methods used in solving various production planning problems.
Graphing and Optimization Principles (course type: required; course code: IND 202)
Course objective:
Course content: Graphing elementary and high order functions, local minima and maxima, using first and second derivative information, convexity and applications, model building and optimization principles, saddle point conditions, exact solution procedures, applications to engineering and business problems.

Object Oriented Programming (course type: required; course code: ECC 108)
Course objective:
Course content: Fundamental ideas, object-oriented concept, meaning of modeling the real world. Encapsulatıon, Information hiding. Abstraction, Classes, Constructors, Default, parameterized, copy constructors. Metaclass, Object lifetimes, Dynamic objects, Inheritance, Single and Multiply inheritance, Inheriting constructor, Associations and Aggregations, Polymorphism, Operator overloading, Virtual Function, Friend functions, Streams and files, File organisation. Class templates.

Statistics II (course type: required; course code: IND 204)
Course objectives:
Course content: Parameter estimation, hypothesis testing, one-factor experiments, two-factor experiments, simple linear regression and correlation, multiple linear regression, and nonparametric statistics.

Production and Operation Management II (course type: required; course code: IND 206)
Course objectives: This course aims at teaching how to utilize various production management techniques such as line balancing, scheduling, bottleneck station identification and maintenance management in improving the performance of the production systems.
Course content: Operations Scheduling, Assembly Line Balancing, Mixed Model Assembly Lines, Transfer Lines, Automated Assembly Systems, Maintenance Management.

Analysis of Service Systems (course type: required; course code: IND 301)
Course objectives: This is a survey course of the technical tools available to operations managers in a variety of service and public sector organizations.
Course content:

Operational Research I (course type: required; course code: IND 303)
Course objectives:
Course content: Problem solving and decision making, Linear Programming: Graphical solution, Linear Programming: The Simplex method, Application of Linear Programming, Sensitivity analysis and duality, Linear programming: Computer solution, Transportation, Assignment and Transshipment Problems.

Entrepreneurship and Innovation (course type: required; course code: IND 302)
Course objectives:
Course content: entrepreneurial perspective, creating and financing new venture; business plan organizational plan, marketing plan source of capital, opportunity analysis informal risk; international entrepreneurship opportunities going public, ending venture.

Operational Research II (course type: required; course code: IND 304)
Course objectives: The purpose of this course is to make the students familiar with the quantitative methods available to decision makers.
Course content: Integer Linear Programming, Network Models, Decision Analysis, Multi Criteria Decision Making, Dynamic Programming.
Transforming Ideas to Projects (course type: required; course code: IND 401)
Course objectives: The purpose of this course is to emphasis the better coordination of a whole project.
Course content: Project proposal analysis, feasibility, management planning, project scheduling, project controlling like claim management, project risk management, project quality management, team management, documentation, organizational learning, communication management and presentation techniques.

Auditing Productivity (course type: required; course code: IND 403)
Course objectives:
Course content: Productivity and overview of method engineering, method study and graphical analysis tools, method improvement, time study (rating, allowance calculation, standard time), work sampling, predetermined time studies, job evaluation and performance appraisal.

Strategy of Quality (course type: required; course code: IND 402)
Course objectives:
Course content: Basic topics in quality assurance and statistical quality control. Terms in quality management, historic approaches, quality management systems, product inspection, acceptance inspection, modeling process quality, statistical process control.
Designing the Factory (course type: required; course code: IND 404)
Course objectives:
Course content: Product, Process and Schedule design for the Facilities Planning requirements./Man-Machine Charts and equipment requirements. Developing Alternatives (concepts and techniques) Quantitative, Qualitative and Computerized Facilities Planning Models/Evaluating, Selecting, Preparing, Presenting, Implementing and maintaining the facilities plan.

Safety and Occupational Management (course type: required; course code: IND 311)
Course objectives:
Course content: This course is an introductory identifying appropriate procedure to minimize or eliminate injuries and illness in the workplace, incorporate job safety analysis (JSA) and appropriate training, and name elements of an effective safety culture.

Lean Thinking (course type: required; course code: IND 312)
Course objectives: The purpose of this course is to provide the student with the fundamental knowledge of current continuous process improvement methodologies in use today within competitive manufacturing environments. This introductory course will expose the student to the basic concepts of Lean Manufacturing theory and the various tools and techniques involved with a lean implementation.
Course content: Lean-six sigma process methodology of DMAIC (Define, Measure, Analyze, Improve, Control) to ensure that at the completion of the course, the student will be competent to participate effectively as a team member in lean implementation projects.

Implementing Industry 4.0 (course type: required; course code: IND 313)
Course objectives: This course is designed to help students implement large scale technological change. Topics discussed include: New business models and forms of operations that are currently being enabled by technological innovations such as the Industrial Internet of Things (IIoT). The "hidden factory" that results from a counterproductive and unpredictable mix of old and new technologies. The importance of decoding cultural and workforce factors prior to making an investment in new technologies. Ways to increase a factory’s "IQ," leading to more productive and safer operations. The role of the front-line leader in the adoption and successful execution of the new technology.
Course content:

Decision Theory (course type: required; course code: IND 314)
Course objectives: This course will teach the skills and concepts that engineers need to make better decisions. Students will learn quantitative techniques for identifying good decisions in complex situations, but also general such as uncertainty about future outcomes, tradeoffs between competing objectives and nonlinearity of preferences.
Course content:
Forecasting (course type: required; course code: IND 315)
Course objectives:.
Course content: Regression methods and moving averages, Exponential Smoothing Methods, Discounted Least squares and direct smoothing, Smoothing models for seasonal data, Forecasting, Analysis of forecast errors, Adaptive-Control forecasting methods, The Box-Jenkins models.

Supply Chain and Logistics (course type: required; course code: IND 316)
Course objectives: Today competition takes place between supply chains, and no longer at the inter-firm level. Enabled through information technology, supply chain management addresses the integrative approach of managing all activities related to products/services from the point of origin to the point of consumption. Basic methods of analysis in planning, organizing and controlling supply chain operations will be taught to ensure that the right product/service, in the right quantity, in the right condition, is delivered to the right customer at the right place, at the right time, at the right cost.
Course content:

Six Sigma (course type: required; course code: IND 411)
Course objectives: Six Sigma course has been designed to provide the student, with strong theoretical knowledge of the Six Sigma Green Belt Body of Knowledge as defined by the American Society of Quality (ASQ) and practical experience with the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control).
Course content:

Digitalization and Industry 4.0 (course type: required; course code: IND 412)
Course objectives: The aim of the course is to give information about the basic concepts of the digitalized industry, advanced concepts of the digitalized industry and the digital factory.
Course content: Development of the industry 4.0 concept, Basics of digitalization, Big Data, Internet of Things and Services, Industry 4.0 Matrix, Horizontal and vertical integration, Research & Development 4.0, Production 4.0, Logistics 4.0, Business model innovation 4.0, Quality management 4.0, Maintenance 4.0, Business analytics and data mining, Ecosystems 4.0, Horizontal and vertical integration II, Robotics 4.0, Autonomous Systems, Employment and workplace 4.0, Change management for I4.0, Additive manufacturing and 3D printing.

Economic Principles in Industrial Engineering (course type: required; course code: IND 413)
Course objectives: The course focuses on the efficient allocation of scarce resources in circumstances in which alternatives can be enumerated. The course provides engineers with skills to assess the costs and benefits of engineering investments, such as product and technology development programs and capital purchases. It will also provide the framework for selecting among alternative designs, for managing technologies over their lifecycles, and for evaluating the finances of new ventures.
Course content:

Scheduling (course type: required; course code: IND 414)
Course objectives:
Course content: Job shop scheduling rules & Gantt chart, Algorithms for one machine problems, Algorithms for two machine problems, Heuristic Approaches, Flow Shop Scheduling, Parallel Machine Scheduling, Batch processing.

Fuzzy Systems (course type: required; course code: IND 415)
Course objectives:
Course content: Fuzzy set theory, rules, reasoning and inference systems. Regression and optimization, derivative-based optimization – genetic algorithms, simulated annealing, Neural Networks, adaptive networks.

Advanced Operations management (course type: required; course code: IND 416)
Course objectives:
Course content: Autoregressive models, Box-Jenkins method, advanced inventory systems, instantaneous systems, stochastic inventory systems, aggregate planning models, advanced ERP environment.

Location Techniques and Problems (course type: required; course code: IND 417)
Course objectives: Industrial location, retailing and public facility location approaches, GISbased techniques, overview of location theories, basic techniques for location analysis.

Course content:
Graduation Project  (course type: required; course code: IND 400)
Course objective: The course is intended to evaluate students’ ability to complete a project without a given detailed structure usually found in undergraduate courses.
Course content: Design or research projects are assigned including application and synthesis. The projects including prototype production are especially encouraged. Students may work alone or as a team. Supervisors and jury members grades the projects by considering the studies during the semester, project report and presentation.

Mechatronics (course type: elective; course code: EE 435)
Course objective: The aims are to give students necessary knowledge in using sensors, and actuators, electrical equipment and microprocessors for designing and building intelligent mechatronic systems
Course content: Introduction to Mechatronics and measurement systems. Sensors and transducers: Sensors and transducers, Performance terminology, Examples of sensors, Selection of sensors. Signal conditioning: Signal conditioning, The operational amplifiers for analog signal processing, Protection, Filtering, Digital circuits and systems. Measurement systems: Designing measurement systems, Data presentation systems, Measurement systems, Testing and calibration. Mechanical actuation systems: Mechanical systems, Kinematic chains, Cams, Gear trains, Ratchet mechanisms, Belt and chain drives. Electrical actuation systems: Electrical systems, Switches, Solenoids, Motors, Stepping motors. Basic system models: Mathematical models, Mechanical system building blocks, Electrical system building blocks, Fluid system building blocks, Thermal system building blocks. Simulation of simple mechanical systems by electrical elements (circuits). Design and mechatronics: Designing, Mechanisms, Examples of designs.

Image Processing(course type: elective; course code: EE 463)
Course content: Introduction to Image Processing, Digital Signal Processing. D- T and C- T signals and systems. Digital System features. Linearity and S -I. get the picture. Image Processing Techniques; Image Compression, Image Enhancement, Image Restoration and Image Identification. Corner Detection Techniques; Differential approach and identify the model. Mathematical Model of the image. Image Sampling and Quantum renovation. Fold and Digital Image Correlation. Matlab is used in laboratory studies.

ECC 404 Artificial Neural Network (3 credits) ( 5 ECTS )
The Neural network paradigm and fundamentals. Training by error minimization. Back propagation algorithm. Feedback and recurrent networks. Hopfield network, Genetic algorithms. Probability and neural networks. Optimizations and constraint. Introduction to Neural Networks, Supervised/Unsupervised learning algorithm, Introduction to back propagation algorrithm, Applications of back propagation algorithm, XOR problem, Introduction to adaline, Practical application of adaline, Application of hopfield algorithm.

ME 429 Computer Aided Design (CAD) (3 credits) ( 5 ECTS )
Introduction and principles of CAD, Stages in CAE, Hardware Components, Fundamentals of CAD, Design Process, Application of Computers for Design, Geometrical Transformations, (3D transformation, scaling, rotation), Representation of 3D objects, 3D. Solid Modeling, (Boolean operations), Representation schemes. Parametric Design, brief description of FEA (finite element analysis), Merits and Limits of CAD.
Simulating of Geosystems (course type: elective; course code: PGE 436)
Course Description: Simulation in general (incentives for simulation, planning a simulation study). Equations for mass/heat flow in permeable/porous media. Modeling concepts (finite differences, 1D, 2D and 3D mass/heat flow domains). Selecting reservoir-rock and fluid-properties data. Selecting grid block and time steps. Placement of wells in grid blocks. History matching and predicting future performance of geosystems by numerical simulation. Applications of simulation to oil and gas reservoirs as well as geothermal reservoirs.

ISE412 Health Information Management (course type: elective) (3 Credits)
Course objective: The aim of this course is to give details about information systems used in health services. Course Content: Health Care Delivery Systems, Health Information Management Professionals, Health Care Settings, The Patient Record, Electronic Health Records, Content of the Patient Record, Numbering Filing Systems and Record Storage and Circulation, Indexes, Registers and Health Data Collection, Legal Aspects of Health Information Management, Coding and Reimbursement.

ISE413 Strategic Information Systems Management(course type: elective) (3 Credits)
Course Objective: The aim of this course is to give details about strategic information systems. Course Content: Business Strategy for the Digital World, Business Exploitation of Information and Communication Technology, Information Systems Development Approaches, Disruptive Technologies and Applications, Business IT/IS Alignment, Strategic IS/IM in Context, Global Issues in Information Management, Strategic Knowledge Management, Organizational Change, Culture and Strategic IS/IT Led Change, IS/IT Benefits Management and Realization, Strategic IT/IS Leadership and IT Governance, IT/IS Professionalism,

ECC311 Management Information Systems (course type: required) (3 Credits) Course objective: The aim of the course is to provide knowledge about MIS.
Course Content: Introduction to Management Information Systems, Global E-Business, Foundations of Business Intelligence, Documenting Information Systems, Decision Making and Managing Knowledge, Building Information Systems and Managing Projects, Ethical and Social Issues in Information Systems.

BME435 – Bioinformatics 
This course is a graduate level bioinformatics course, which emphasizes as a basis for understanding bioinformatics and their applications. The course focuses on a general introduction to the uses of biological databases in generating biological knowledge to better understand living systems, for the purposes of aiding healing of diseases. Topics include Genomic Era, the anatomy of genome, probabilistic models of genome sequences, biological databases, sequence alignment, gene and promoter prediction, molecular phylogenetics, post-genomic epidemic, structural bioinformatics and proteomics. This course covers the fundamental concepts molecular biology, database management systems, and probabilistic models.

BME401 – Instrumental Analysis
This course is designed to give students practical experience using modern analytical instrumentation and to provide students with the background theory and principles of operation.

BME340 – Modelling of Biological Systems
This course introduces the current approaches for mathematical modelling and analysis of biological systems using both computer simulation and mathematical techniques. The course reviews the basics of modelling methodology, stochastic and deterministic models, numerical and analytical methods, and model validation. Examples throughout the course are drawn from population dynamics, biochemical networks, ecological models, neuronal modelling, and physiological systems.
ECC 437 Robotic Systems, 3 Credits, 5 ECTS
Course description: Components and subsystems: vehicles, manipulator arms, wrists, actuators, sensors, user interface,controllers. Classifications of robots. Coordinate transformations. Dynamic model of robots .Kinematics: manipulator position, manipulator motion. Sensors, measurement and perception. Computer vision for robotics. Hardware and software considerations.

IND 434 – Quality Engineering    3 credits
Objectives of Course: The purpose of the course is to make an introduction and lay the foundation of modern methods of statistical quality control and improvements that are used in the manufacturing and service industries along with basic concepts of reliability. The students will first be introduced to some of the philosophies of quality control experts and their impact on quality. Description of the Course: The students will first be introduced to some of the philosophies of quality control experts and their impact on quality. This course familiarizes students with quality control techniques, quality assurance issues and quality management methods. Finally basic concepts of reliability of systems will be introduced.

ECC 412 Database Application: This course provides students with a general understanding of the Oracle database system and a thorough understanding of SQL. The student will learn the fundamentals of database design, a structured approach to system development, creation and manipulation of data, and retrieval of information from an Oracle database. Numerous concepts of the Structured Query Language (SQL) and Programming Language/Structured Query Language (PL/SQL) will also be covered.
ECC 404 Neural Networks: The Neural network paradigm and fundamentals. Training by error minimization. Back propagation algorithms. Feedback and recurrent networks. Hopfield network, Genetic algorithms. Probability and neural networks. Optimizations and constraint.

MTH 323 – Numerical Analysis 3 credits
Objectives of the Course:The course will be develop an understanding of the elements of error analysis for numerical methods and certain proofs. It also derive appropriate numerical methods to solve algebraic and transcendental equations.
Course description: Approximations and errors.Accuracy and precision. Finite divided difference and numerical differentiation. Roots of equations, bracketing methods and open methods, systems of nonlinear equations. Systems of linear algebraic equations. Curve fitting, interpolation. Numerical integration. Ordinary differential equations.

Mission – Vision


We pledge to be committed to the training of students in the techniques, ethics and practices of Industrial Engineering. We are poised to teaching students to imbibe skills that are well grounded in basic knowledge of science, mathematics, and artificial intelligence necessary for innovating and evolving technological advancements of this century and that is also adequate enough to project solutions to the challenges of the next century. We expose them to real-time engineering training well adequate to expand the cognitive abilities, reasoning, communicating and problem-solving skills of students. We are committed to equipping graduates for an enhanced tendency toward lifelong development in their chosen careers. We equip graduates of our department with qualitative knowledge in carrying out cutting-edge researches in a multi-disciplinary nature, requesting, solving and providing results of engineering usefulness to problems facing the industry and the society.


To be known globally as an Institution that produces new-breed Industrial Engineering graduates with a high propensity for implementing practical and results driven research for solving diverse production problems for the benefit of mankind and the society at large.

Program Information
Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Science in Industrial Engineering.

Level of Qualification

This is a First Cycle (Bachelor’s Degree) program.

Specific Admission Requirements

In the framework of the regulations set by Higher Education Council of Turkey (YÖK), student admission for this undergraduate program is made through a university entrance examination called ÖSYS. Following the submission of students’ academic program preferences, Student Selection and Placement Center (ÖSYM) places the students to the relevant program according to the score they get from ÖSYS.

International students are accepted to this undergraduate program according to the score of one of the international exams they take such as SAT, ACT and so on, or according to their high school diploma score.

Exchange student admission is made according to the requirements determined by bilateral agreements signed by NEU and the partner university.

Visiting students can enroll for the courses offered in this program upon the confirmation of the related academic unit. Additionally, they need to prove their English language level since the medium of instruction of the program is English.

Qualification Requirements and Regulations

The students studying in this undergraduate program are required to have a Cumulative Grade Points Average (Cum. GPA) of not less than 2.00/4.00 and have completed all the courses with at least a letter grade of DD/S in the program in order to graduate. The minimum number of ECTS credits required for graduation is 253. It is also mandatory for the students to complete their compulsory internship in a specified duration and quality.

Recognition of Prior Learning

At Near East University, full-time students can be exempted from some courses within the framework of the related bylaws. If the content of the course previously taken in another institution is equivalent to the course offered at NEU, then the student can be exempted from this course with the approval of the related faculty/graduate school after the evaluation of the course content.

Profile of the Program

The program's goal is to equip its graduates with both the fundamental scientific principles that underpin the key industrial management –production and operations management, operation research, optimization, ergonomics, machine learning and the rest that are in use today and the engineering skills that enable those principles to be applied in practice. Upon graduation, students should be equipped to pursue a career as industrial engineers/professionals or, if they so wish, to pursue further academic studies. The graduates will be professionals who can be flexible and integrate in a relatively short time into a wide-range of different sectors of the industry.

Program Outcomes
  • To have adequate knowledge in Mathematics, Science and industrial Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.
  • To be able to identify, define, formulate, and solve complex Industrial Engineering problems; to be able to select and apply proper operations methods for this purpose.
  • To be able to design a complex system, process, operations or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design techniques for this purpose.
  • To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Industrial Engineering applications; to be able to use information technologies effectively.
  • To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Industrial Engineering research topics.
  • To be able to work efficiently in Industrial Engineering disciplinary and multi-disciplinary teams; to be able to work individually.
  • To be able to communicate effectively in English, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare, design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.
  • To have knowledge about global and social impact of Industrial Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Industrial Engineering solutions.
  • To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.
  • To have knowledge about industrial practices such as analysis of service-based system, optimization, modelling and simulation, information system design and management, project management, human factor and work-related health and general wellbeing, risk management, and safety management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.
  • To give importance to Research and Development activities as much as possible, to develop analytical thinking, to identify possible problems in any system, to identify creative and original solutions for this, to design, project, implement and control
  • To give importance to interdisciplinary studies, to understand the relationship of Industrial Engineering with other engineering and social disciplines, to maximize cooperation and organization skills
  • To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.
Course and Program Outcomes Matrix
Occupational Profiles of Graduates

Graduates of Industrial Engineering program may work in in wide-range of industry and sub-industry such as;

In the private sector;

  • All production enterprises operating as both large-scale and SMEs
  • All service businesses in a wide scale from hospitals to tourism businesses
  • Engineering / Contracting companies
  • R&D institutions
  • Quality Management/Consulting firms
  • Insurance services and financial institutions
  • Industrial test and Analysis Laboratories
  • Academic institutions

In the public sector;

  • Ministry of Science, Industry and Technology
  • Energy and Natural Resources Ministry
  • Customs and trade Ministry
  • Ministry of Development
  • Ministry of Transport
  • State Planning, IT and related departments and institutions
  • Municipalities
  • All public banks and financial institutions
Access to Further Studies

The students graduating from this program may apply to graduate programs.

Course Structure Diagram with Course Credits
Exam Regulations, Assessment and Grading
Graduation Requirements

In order to graduate from this undergraduate program, the students are required;

  • to succeed in all of the courses listed in the curriculum of the program by getting the grade of at least DD/S with a minimum of 253 ECTS
  • to have a Cumulative Grade Point Average (CGPA) of 2.00 out of 4.00
  • to complete their compulsory internship in a specified duration and quality.
Mode of Study

This is a full time program.

Program Director (or Equivalent)

Assist. Prof. Dr. Kehinde Adewale ADESINA, Head of Department, Faculty of Engineering, Near East University

Evaluation Questionnaires
  • Evaluation Survey
  • Graduation Survey
  • Satisfaction Survey