Course Descriptions

The descriptions of courses that they are common with Mechanical Engineering BS Program are not given here. You can check their descriptions from previous sections.  (Mechanical Engineering Course Descriptions)

IENG102 Introduction to Industrial Engineering (0 – 0 – 0 ) 0

This course aims to familiarize first year industrial engineering students to the fundamental concepts of engineering discipline with a special focus on industrial engineering profession and its historical perspective. The required basic tools such as computer, mathematics and communication skills will be emphasized. A brief introduction to problem solving and decision making, modeling, analysis and design of industrial systems; and job opportunities for industrial engineers will be given. The course is composed of a series of weekly seminars to be given by the departmental staff, together with some speakers invited from other departments or the industry.

IENG212 Modeling and Optimization ( 3 – 0 – 1 ) 3

This course is designed to install in students the ability of conceptualization of real life system in the form of mathematical models. Principles of model building and basic optimization concepts and approaches for problem solving will be discussed in detail. The application of these principles and concepts will be illustrated using simplified but practical problems from diverse fields of application in manufacturing and service systems. Scopes and limitations of suggested formulations will be discussed and their applications in real-life situations will be studied with the help of samples of computational experience. The emphasis will be on the building and interpretation of models rather than the solution processes.Prerequisites:CMPE110 or equivalent, MATH151 Co-requisite: MATH241

ECON231 Introduction to Economics ( 3 – 0 – 1 ) 3

The course will cover fundamental concepts of both macro- and microeconomics at the introductory level. Microeconomics aspects of the course include supply and demand; elasticity; market efficiency; cost of production; and profit maximization in competitive and monopolistic markets. Macroeconomics aspects include national income accounting; unemployment; inflation; LR and SR aggregate demand and supply curves; economic growth and international trade.

ACCT203 Cost Accounting for Managerial Decision Making (3 – 0 – 1 ) 3

Understanding the balance sheet and income statement of a production firm. Calculation of costs of goods and services produced by production and service companies. Measurement and reporting of financial and nonfinancial information relating to cost of acquiring and utilizing resources within the organization. Use of cost accounting data for managerial decision making.

MGMT201 Principles of Management (3 – 0 – 0 ) 3

Analyzes the role of the manager in organizations. Topics include: culture and ethics; decision making; planning; organizing; human resources; motivation; and controlling.

IENG301 Fundamentals of Work Study and Ergonomics (4 – 1 – 0 ) 4

This course is designed to teach the fundamentals of Work Study and Ergonomics, which are both used in the examination of human and work in all their contexts. Work Study topics covered in the course are: methods study, charting techniques, time study, work-station design principles, job evaluation and compensation. The topics covered in Ergonomics are human physiology and anthropometry, fatigue assessment, industrial hygiene, information retrieval and control in humans, and fundamentals of industrial product design. Industrial accidents, theories on causes of accidents, safety analysis and hazard prevention.Co-requisites: MENG363

IENG313 Operations Research – I (4 – 1 – 0 ) 4

This course is designed to introduce the fundamentals of operations research. The emphasis is on solution of deterministic optimization models. The topics covered are application of scientific methodology to business problems, systems concept, team concept in problem analysis, and mathematical modeling. Basic deterministic methods used in the course are linear programming, simplex method, duality, dual simplex method, post-optimality analysis, integer programming, formulation, branch and bound technique, cutting plane algorithm, simple network models, minimal spanning tree algorithm, Dijikstra algorithm and maximal flow algorithm, nonlinear programming, unconstrained nonlinear optimization and Lagrange multiplier method. Prerequisites: IENG212, MATH241

MENG385 Statistical Applications in Engineering (3 0 1 ) 3

Collection and Presentation of data, descriptive measures,  Sampling in industrial production, Parametric and Non parametric estimation of product and process parameters, Properties of a good estimator, Minimum Variance Unbiased estimator, confidence intervals for small and large samples, Hypotheses Testing of process parameters with specific references to industrial production, Correlation and Regression Analysis .Co-requisite: MATH322

IENG332 Production Planning – I ( 4 – 0 – 1 ) 4

Two sequel courses are designed together to provide the basics of production planning and control with the need of modern manufacturing organizations in mind. The topics covered in the first course are production and operations strategy, subjective and objective forecasting (i.e. Delphi method, trend-based methods, and methods for seasonal series), deterministic inventory planning and control (i.e. Economic Order Quantity model and its extensions to several environments), stochastic inventory planning and control, aggregate production planning, and master production scheduling. Prerequisites: IENG212, MATH322 Co-requisite: Submission of IENG300 industrial training report

IENG314 Operations Research – II (4 – 1 – 0 ) 4

This course introduces uncertainty, risk, and probabilistic approaches to Operations Research. Elementary mathematical models and topics to be covered in this course are : review of probability theory with illustrations from inventory; decision analysis; decision trees and Bayes rule; utility theory approach; Markov chain models, Chapman-Kolmogorov equations, steady-state probabilities and their computation and applications; M/M/c  infinite and finite capacity queuing models and optimization, queuing networks; two-person, constant and non-constant sum games , their analysis and applications. Prerequisite: MATH322 Co-requisite: IENG313

IENG372 Information Systems and Technology ( 4 – 0 – 1 ) 4

The purpose of this course is to give the Industrial Engineering students the concepts of information technology and the importance of these concepts within the framework of management of organization and the ability to exploit continuous innovations in order to stay competitive in business. Information Technology. Basic data information concepts. Appropriate theoretical concepts of decision making. Systems Analysis, Structured analysis methodologies. Information systems development methodologies. Database management. Decision support systems. Expert systems. Prerequisites: CMPE110 or equivalent, MGMT201

IENG444 Seminars on Manufacturing and Service Systems (0 – 0- 0 ) 0

The purpose of this course is to introduce our students to the work atmosphere and opportunities available in the manufacturing and service sectors in TRNC and Turkey. Throughout this course a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial engineering in various manufacturing and service systems.

IENG431 Production Planning – II( 4 – 0 – 1 ) 4

 This course is a continuation of IE 332. The topics covered in the course are materials requirements planning, lot sizing, capacity planning, machine scheduling and loading, project scheduling in production environments, recent advances in production and operations management such as Just-in-time Production (JIT), Flexible Manufacturing Systems (FMS), and Optimized Production Technology (OPT).  Prerequisite: IENG332

IENG441 Facilities Planning and Design (4 – 0 – 1 ) 4

The purpose of this course is to make an introduction to planning and design of manufacturing facilities from an industrial engineering point of view. A balance of traditional and analytical approaches to facilities planning will be presented. Principles of management and facility organization. Capacity and technology selection. Analysis of production plans and processes to compute equipment and manpower requirements. Facility location. Plant layout. Identification of production support activities such as receiving, inventory management, material handling, storage and warehousing, packaging and shipping, maintenance planning. Prerequisite: IENG301 Co-requisite: IENG332

IENG461 Systems Modeling and Simulation (4 – 0 – 1 )4

The aim of this course is to give our students a decision tool in order to design and analyze complicated real life systems for which there is no well formulated solution. Emphasis is primarily on applications in the areas of production management through the analysis of respective computer simulation models. Use and misuse of simulation as a decision tool. Simulation methodology and model building. Modeling with a simulation language. Random variate generation. Basic issues in the design, verification and validation of computer simulation models. Statistical analysis of simulation output data. Use of simulation for estimation and comparison of alternatives. Prerequisite: MATH322 Co-requisite: IENG385 or equivalent

IENG440 Introduction to Manufacturing & Service Sys. Design ( 0 – 0 – 0 ) 0

The course aims to prepare the senior year students for their Manufacturing and Service Systems Design Project course, and to provide guidance with the selection of their project advisors, topics and teams. The students are introduced to the basic features of the design process, elements of a technical project report writing and oral presentation techniques. Prerequisites: None Co-requisites: Submission of IENG300 industrial training report

IENG400 Industrial Training – II ( 0 – 0 – 0 ) 0

This practice must be held in a manufacturing/service organization for a minimum of four weeks – 20 working days. Students should discuss various aspects of the organization with the guidelines given in the Summer Training Booklet for the third year students. They are also required to identify, define, formulate and offer an acceptable solution for an industrial engineering problem observed in the organization.Prerequisites: Submission of IENG300 industrial training report

IENG484 Quality Engineering( 4 – 1 – 0 ) 4

The objective of this course is to introduce the basic concepts and statistical methods employed in the assurance of product conformance to specifications in the industrial environment. Acceptance sampling. Statistical process control. Tolerance setting and quality design. Reliability engineering. Maintenance management. Quality costs and economic design of control methods.Co-requisites: IENG300 (any grade), MATH322, IENG385 or equivalent

IENG442 Manufacturing and Service Systems Design Project(3 – 0 – 2 ) 4

 The course consists of a design study of complex manufacturing or service systems. The study includes computer integrated modeling based on demand, materials, capacity, location, man-machine, and information requirements. It is a project oriented course that is basically a synthesis of the techniques and the methodologies previously covered in other courses. Prerequisite: IENG440 Co-requisite: IENG441,Submission of IENG400 industrial training report