Course Descriptions

Atoms, molecules and ions; Mass relations in chemistry, stoichiometry; Gasses, the ideal gas law, partial pressures, mole fractions, kinetic theory of gases; Electronic structure and the periodic table; Thermo chemistry, calorimetry, enthalpy, the first law of thermodynamics; Liquids and Solids; Solutions; Acids and Bases; Organic Chemistry.

Physical quantities and units. Vector calculus. Kinematics of motion. Newton`s laws of motion and their applications. Work-energy theorem. Impulse and momentum.  Rotational kinematics and dynamics. Static equilibrium.

Limits and continuity. Derivatives. Rules of differentiation. Higher order derivatives. Chain rule. Related rates. Rolle's and the mean value theorem. Critical Points. Asymptotes. Curve sketching. Integrals. Fundamental Theorem. Techniques of integration. Definite integrals. Application to geometry and science. Indeterminate forms. L'Hospital's Rule. Improper integrals. Infinite series. Geometric series. Power series. Taylor series and binomial series.

ENGL191 is a first semester freshman academic English course. The purpose of this course is to consolidate and develop students' knowledge and awareness of academic discourse, language structures and lexis. The prime focus will be on the further development of writing, reading, speaking and listening skills in academic settings, and on improving study skills in general.

This course is designed to introduce the fundamental concepts of Industrial/Management Engineering and give answers to the first questions that are usually asked by the prospective Industrial/Management Engineering students. The course surveys both the traditional and modern topics of Industrial/Management Engineering, providing a historical as well as an academic perspective of the whole profession. Related software applications, together with fundamentals of modeling & optimization, and production system design and control (methods engineering, work measurement, ergonomics, facilities planning and design, production planning, inventory control and quality control) will also be covered in the course.

A basic Turkish course introducing the Turkish language to international students. It incorporates all four language skills and provides an introduction to basic grammar structures.  Students will be encouraged to develop their writing skills through a variety of tasks.  The aim of this course is for students to be able to understand and communicate in everyday situations, both in the classroom and in a Turkish-speaking environment.

This course is for Turkish students only. The aim of the course is to introduce the Ottoman Empire's situation at the 19. Century, Trablus and Balkan Wars, I. World War and it's consequences, Turkish Independence War, Mudanya Treaty, Lausanne Treaty, and Principles of Ataturk.

This is the first part of a two-part series of introductory courses in essentials of business management. The course is comprised of two parts: Part One deals with understanding of the contemporary business environment, in which topics covered include an understanding of the business system; the global context of business; conducting business ethically and responsibly; entrepreneurship and small businesses. Part Two focuses mainly on helping the student to understand the business of managing. In this part topics such as managing the business enterprise, organizing the business enterprise, and managing quality operations are covered.

Kinetic theory of ideal gases. Equipartition of energy. Heat, heat transfer and heat conduction.  Laws of thermodynamics, applications to engine cycles. Coulombs law and electrostatic fields. Gauss's law. Electric potential. Magnetic field. Amperes law. Faradays law.

Pre-requisite: PHYS101

Vectors in R3. Lines and Planes. Functions of several variables. Limit and continuity. Partial differentiation. Chain rule. Tangent plane. Critical Points. Global and local extrema. Lagrange multipliers. Directional derivative. Gradient, Divergence and Curl. Multiple integrals with applications. Triple integrals with applications. Triple integral in cylindrical and spherical coordinates. Line, surface and volume integrals. Independence of path. Green's Theorem. Conservative vector fields. Divergence Theorem. Stokes' Theorem.

Pre-requisite: MATH151  

Set theory, functions and relations; introduction to set theory, functions and relations, inductive proofs and recursive definitions. Combinatorics; basic counting rules, permutations, combinations, allocation problems, selection problems, the pigeonhole principle, the principle of inclusion and exclusion. Generating functions; ordinary generating functions and their applications. Recurrence relations; homogeneous recurrence relations, inhomogeneous recurrence relations, recurrence relations and generating functions, analysis of algorithms. Propositional calculus and boolean algebra; basic boolean functions, digital logic gates, minterm and maxterm expansions, the basic theorems of boolean algebra, simplifying boolean function with karnaugh maps. Graphs and trees; adjacency matrices, incidence matrices, eulerian graphs, hamiltonian graphs, colored graphs, planar graphs, spanning trees, minimal spanning trees, Prim's algorithm, shortest path problems, Dijkstra's algorithms.

ENGL192 is a second semester freshman academic English course The purpose of this course is to further consolidate and develop students' knowledge and awareness of academic discourse, language structures and lexis. The prime focus will be on the further development of writing, reading, speaking and listening skills in academic settings, and on improving study skills in general.

Pre-requisite: ENGL191

A basic introduction to business matters.  Topics include: motivation and leadership; human resources and labor relations; marketing, information systems; money and banking; and securities and investments.

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.

Systems of linear equations: Elementary row operations, echelon form, Gaussian elimination method; Matrices; determinants, adjoint and inverse matrices, Cramer's rule. Vector spaces. Linear independence, bases and dimensions; linear mappings. Eigenvalue problem. First-order differential equations, separable differential equations, change of variables, exact differential equations. Second-order differential equations; the method of undetermined coefficients, the variation of parameters method. Systems of differential equations. Vector formulation. General results of first order linear systems. Differential systems, Homogeneous constant coefficient vector differential equations. Variations of parameters for linear systems. Laplace Transform Method.

Pre-requisite: MATH151

Design of computer algorithms with pseudo-code to solve problems, analyze engineering related problems using computer. Basic elements of a high level computer programming language: Data types, constants and variables, arithmetic and logical operators and expressions. Fundamental components of Python programming language: Storing and manipulating user-input data, design and use of selection structures, design and use of repetition structures, lists and other data structures, functions dictionaries and sets, file input/output. Explain the fundamental concepts of object-oriented programming and concept of a class: Define encapsulation, inheritance, and polymorphism

Principles of engineering graphics with the emphasis on laboratory use of AUTOCAD software. Plane Geometry, geometrical constructions, joining of arcs, principles of orthographic projection, isometric and oblique drawing, principles of sectioning, reading engineering drawing from blueprints, building plans or electrical circuit diagrams.

This is the first Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. In the training students are required to observe the organization as a whole and write a formal report based on the questions and tasks provided in the Log-Book.

Pre-requisite:  MANE112

This course is designed to introduce moral rights and responsibilities of engineers in relation to society, employers, colleagues and clients. Analysis of ethical and value conflict in modern engineering practice. Importance of intellectual property rights and conflicting interests. Ethical aspects in engineering design, manufacturing, and operations. Cost-benefit-risk analysis and safety and occupational hazard considerations.

Introduction to probability and statistics. Operations on sets. Counting problems. Conditional probability and total probability formula, Bayes' theorem. Introduction to random variables, density and distribution functions. Expectation, variance and covariance. Basic distributions. Joint density and distribution function. Descriptive statistics. Estimation of parameters, maximum likelihood estimator. Hypothesis testing.

Pre-requisite: MATH151

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.

Introduction to organizational behavior. Motivation and leadership. Communication. Power and politics. The structure of organizations. Decision-making and control. Applications in behavior. Organization development.

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.

Co-requisite: MATH241

Basic objectives and concepts in human resources management. Fundamental functions of personnel management, such as human resources planning, job analysis, recruitment, selection, orientation, training and development, and personnel relations. Emerging trends in human resources management.

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-requisite: MANE200

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's algorithm and maximal flow algorithm, nonlinear programming, unconstrained nonlinear optimization and Lagrange multiplier method.

Pre-requisite:  MANE212, MATH241

The purpose of this course is to give an introduction to economic analysis for decision making in engineering design, manufacturing equipment and industrial projects. Cost concepts. Subjects covered are time-value of money, cash-flow analysis, cost-benefit analysis, decision making among alternatives (present worth, equivalent-uniform annual worth and rate-of-return methods), replacement analysis, after tax analysis, breakeven analysis, capital budgeting, and inflation.

The purpose of the course is to introduce and train students in the application of statistical tools and techniques in industries and other areas. We first introduce students to an array of statistical tools used in presenting and interpreting statistical data. After a brief review of probability distributions, estimation procedures of statistical parameters will be presented. These will include parametric, nonparametric and interval estimation procedures. Testing of statistical hypotheses under various assumptions will be presented. Finally, correlation and regression analysis of bivariate data will be introduced.

Co-requisite: MATH322

This is the second Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. Students will have the chance to observe real world Industrial/Management Engineering practices in the firms, discuss the various aspects of the production processes in an organization and write a formal report based on the questions and tasks provided in the Log-Book. During the training students should visit at least 5 departments, including manufacturing and assembling.

Co-requisite: Submission of MANE200 report, and completion of all freshman courses

Consumer behavior. Market segmentation. Product development and policies, methods and practices. Distribution decisions. Marketing communications. Marketing research. International marketing. Contemporary issues in marketing.

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.

Pre-requisite: MATH322 & Co-requisite: MANE313

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.

Pre-requisite: MANE212, MATH322

The purpose of this course is to give the Management 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.

Pre-requisite: MGMT102

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.

Pre-requisite: MATH322 & Co-requisite: MANE385

Strategic Management elements and environment. The manager and management. Internal analysis and diagnosis. Computing: algorithms and data structures. Strategic implements; resource allocation, organization and control. Case analysis and corporate simulations. team works and presentation.

This course is a continuation of MANE332, Production Planning - I. 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).

Pre-requisite: MANE332

The purpose of this course is to make an introduction to planning and design of manufacturing facilities. 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.

Pre-requisite: MANE301 & Co-requisite: MANE332    

The purpose of the course is to make an introduction and lay the foundations of modern methods of statistical quality control and improvements that are used in the manufacturing and service industries. The course also introduces basics of experimental design in determining quality products and reliability models. The students will first be introduced to some of the philosophies of quality control experts and their impact on quality. After a quick review of normal probability distribution, a few graphical methods used to monitor quality improvement will be given. Control charts for variables and attributes will be given with examples. Acceptance sampling plans for variables and attributes are to follow. Principles of design of experiments along with Taguchi method will be presented. Finally reliability of systems like series, parallel, series – parallel and parallel – series systems and their design will be discussed.

Pre-requisite: MATH322, MANE385

The course aims to prepare the senior year students for their Manufacturing and Service Systems Design Project course (MANE492). The students are first introduced to the type of the manufacturing or service system that they are going to design as the requirement of MANE492 during the next academic semester. Then they are asked to conduct a market survey, submit information on the types of products/services they are going to produce, amount of sales, prices, competing producers, processes required to producing and distributing them, and relevant standards/laws/rules and regulations available in the place where the system will be established. Additionally, students are required to design the products/services, make forecasting for their sales, and prepare a feasibility study of the system.

Co-requisite: Submission of MANE300 report, one semester prior to MANE492

This is the third Industrial Training course for the students. In partial fulfillment of graduation requirements each student is required to complete three industrial training in accordance with rules and regulations set by the Department. The aim of the training is to give students opportunity to observe real world industrial/management engineering practices in a firm, participate and appreciate interdisciplinary team work, and write a formal report based on the questions and tasks provided in the Log-Book. Additionally, students must identify and define an industrial/management engineering related problem (IE/MANE Problem) in the company, and formulate and propose an acceptable solution based on the knowledge obtained in the curriculum courses. During the training a visit of at least 5 departments is required.

Co-requisite: Submission of MANE300 report

The course deals with the application of economic theory and quantitative methods to managerial decision-making problems. Topics include demand and supply analysis, production, cost analysis, forecasting, pricing, market structures, break-even analysis and capital budgeting.

The course consists of a design study of complex manufacturing or service systems. The study includes computer integrated modeling based on multiple realistic constraints such as demand, materials, capacity, location, man-machine, and information requirements. It is a project oriented course that is basically a synthesis of the techniques and methodologies previously covered in other courses. Projects are implemented conforming relevant standards, ethical issues and environmental policies.

Pre-requisite: MANE490 & Co-requisite: MANE441, submission of MANE400 report, at least 3 of the following courses must be taken; MANE314, MANE323, MANE372, MANE431, MANE461

The purpose of this course is to introduce students to the work atmosphere and opportunities available in the manufacturing and service sectors in TRNC and Türkiye. Throughout this course, a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial/management engineering in various manufacturing and service systems. Additionally, seminars about continuing education in mamagement engineering related fields, research opportunities at other universities, or subjects that will broaden the horizons of students may be presented.

Pre-requisite: In the last Spring semester before graduation.