Course Descriptions

Objects and classes, constructors, static variables, constants and methods, visibility modifiers, passing objects and object arrays to methods, immutability, variable scopes, class abstraction and encapsulation, super and subclass concepts, inheritance, polymorphism, overriding, overloading, abstract classes, object-oriented design.

Essentials of macroeconomics. Measuring a nation's income and cost of living. Inflation, unemployment, investment and saving. Money and banking. Open economy macroeconomics. International integrations. Introduction to economic growth and development.

Introduction of university specific rules and regulations. Introduction to engineering profession and to its sub disciplines. History of engineering and relation to other professions. Ethics and other related topics.

Economic analysis for engineering decision making; the finance function in an industrial enterprise, time value of money; basic interest formulas; annual cost comparison; present value analysis; rate of return; depreciation and taxes; multiple alternatives. Mathematical models for equipment replacement. Introduction to decision analysis; concepts of cost engineering.

Modeling concepts. Linear programming: problem formulation, simplex and dual simplex methods, duality and sensitivity analysis. Transportation model and its variants, network models. Goal programming. Integer linear programming.

Dynamic programming. Classical optimization theory: optimization in one variable, convexity, unconstrained and constrained optimization in many variables, Karush-Kuhn-Tucker optimality conditions; Nonlinear programming: direct search and gradient methods. Computational complexity. Major heuristic approaches: tabu search, simulated annealing, genetic algorithms.

Basic concepts of discrete-event simulation modeling and analysis. Event-scheduling versus process-interaction approach. Random number and random variate generation; inverse transformation and other selected techniques. Input data analysis and goodness of fit tests. Specific computer simulation languages, analysis of simulation output and model validation.

Structure of production planning in manufacturing systems. Basic concepts in forecasting, product mix and inventory. Production planning at various levels: aggregate production planning, materials requirement planning and scheduling.

Fundamentals of CIM and automation; high volume discrete parts production systems; numerical control manufacturing systems; robotics, group technology. Work in process concepts; line balancing and layout problems. Motion studies; scheduling and storage issues.

Principles of quality control systems; process control concepts; specification and tolerances; process capability studies; control charts; acceptance sampling plans; cost aspects of quality decisions; quality improvement programs; quality information systems.

An overview of forecasting. Available methodologies and their comparison, selecting a methodology suitable to the management - decision making requirements and designing a forecasting system. Smoothing techniques, adaptive filtering, simple and multiple regression and correlation analysis, time series forecasting, Box-Jenkins methods, input-output and econometric models.

Minimum of 20 workdays of practical training at manufacturing or supporting industry sector. Join the operations, do necessary observations and report the knowledge accumulated from IE point of view.

Introduction to stochastic processes. Markov chains. Markov decision processes; value iteration method; successive approximations and policy improvement algorithms. Queuing methods.

Overview of modeling concepts and optimization techniques. Various application areas: typical implementation problems, practical points and obstacles encountered in applying operations research models to real life problems. Article presentations, cases, mini-projects with computer implementations.

Design and development of a process for an industrial engineering or operations research problem under the supervision of an academic advisor and submission of the results in the form of a project report and oral presentation.

Departmental Elective-I

Departmental Elective-II

Departmental Elective-III

Departmental Elective-IV

Departmental Elective-V

Recording accounting information, study of accounting cycles, preparation of balance sheets, income statements, flow of funds statements, cost analysis, costing systems and control.

Why Teach Chemistry to Engineers? Matter-Its Properties and Measurement, Uncertainty and Significant Figures, Dimensional Analysis. Atoms and Atomic Theory, Atomic Mass and Mole Concept. Chemical Compounds, Molecular and Ionic Compounds, Composition, Oxidation States. Chemical Reactions, Stoichiometry, Reactions in Solutions, Limiting Reactant. Introduction to Reactions in Aqueous Solutions, Precipitation, Acid-Base, and Oxidation-Reduction Reactions, Titrations. Gases, Gas Laws, Ideal Gas Equation, Gases in Reactions, Mixtures of Gases, Kinetic Molecular Theory. Electrons in Atoms, Electromagnetic Radiation, Atomic Spectra, Quantum Theory, Electron Configurations. The Periodic Table and Some Atomic Properties.

English Speaking Skills

The origins of ethical thought; ethical principles and basic theories; personal, academic and professional ethics for engineers; environmental ethics; ethical implications of technology, computer ethics; ethics in research and experimentation.

Introduction to Computing

Functions, graphs, limits and continuity. Derivatives, derivative rules, chain rule, implicit differentiation. Applications of derivatives. Indefinite integrals. Definite integrals. Applications of integrals. Transcendental functions.

Standards and units; vectors and coordinate systems; kinematics, dynamics; work and energy; dynamics of system of particles; conservation of energy and momentum, collisions; rotational kinematics and dynamics; equilibrium of rigid bodies; oscillations.

Experiments on: work and energy; dynamics of system of particles; conservation of energy and momentum, collisions; rotational kinematics and dynamics; equilibrium of rigid bodies; oscillations.

Academic writing and speaking skills with a focus on organizing a research project involving a proposal, preliminary and ongoing research, annotations, thesis proposal, works cited and an interview to demonstrate the results of their work. Critical thinking, reasoning, logical argumentation, and presentation skills.

Integration techniques; improper integrals. Infinite series, positive and alternating series, power series, Taylor and Maclaurin series. Polar coordinates. Vectors and motion in space, vector valued functions.

Charge and matter, electric field and Gauss' law, electric potential, capacitors, DC circuits, magnetic field, Ampere's law, Faraday's law, inductance, magnetic properties of matter, Maxwell's equations.

Experiments on: capacitors; DC circuits; magnetic field; Ampere's law; Faraday's law; inductance; magnetic properties of matter.

Definitions of microeconomics and macroeconomics. Essentials of microeconomics. Operations of markets. Scarcity and resource allocation. Demand and supply analysis and elasticities. Market efficiency and welfare. Consumer and producer surplus. Cost analysis of firms. Perfect competition and imperfect competition. Monopoly, oligopoly and monopolistic competition. Externalities and internalities. Economics of factor markets.

Matrices, matrix addition, matrix and scalar multiplication, algebraic properties of matrix operations, special types of matrices, solving linear systems, elementary row and column operations, echelon form of a matrix, Gauss and Gauss-Jordan method, elementary matrices and finding the inverse of a matrix by using elementary operations, real vector spaces, definition, subspaces, span and linear independence, basis and dimensions, homogeneous systems, rank of a matrix, linear spaces with inner product, definition of the inner product, Gram-Schmidt process, orthogonal complements, linear transformation and their matrix representations, kernel and range of a linear transformation, matrix of a linear transformation, determinants, definition and properties of determinants, cofactor expansion, finding inverses by using cofactors, eigenvalues and eigenvectors, characteristic polynomial and equation of a matrix, eigenvalues and eigenvectors, diagonalization of symmetric matrices.

Basic topics in probability, probability axioms, sample space, conditional probability, counting methods, discrete random variables, probability mass function, families of discrete random variables, expectations, function of a random variable, variance and standard deviation, continuous random variables, distribution function, probability density function, expected values, families of continuous random variables, the normal distribution, pairs of random variables, joint distribution function, marginals, joint probability function, functions of two random variables, variance, covariance and correlation concepts.

Explanation of communication, explanation of language and its relationship with the thinking proces, culture, society and literature; written and oral communication; main characterisrics of the Turkish language; phrases and types of narration; expressional failure.

Basic topics in parametric statistics; estimation, confidence intervals, and hypothesis testing; analysis of variance, regression and correlation analysis; goodness of fit tests. Elementary design of experiments and data collection; computer implementations using available up-to-date statistical software.

Minimum of 20 workdays of practical training at service sector. Join the operations, do necessary observations and report the knowledge accumulated from IE point of view.

Basic definitions, first order differential equations, second order linear differential equations with constant coefficients. Systems of first order linear differential equations with constant coefficients, Laplace transforms and its applications to linear differential systems. Linear differential equations with variable coefficients, series solutions of second-order linear differential equations.

Illustration of “narration” and its types; writing and communication modes; exemplified by masterspieces chosen from Turkish and world literature; exercises in effective writing and public speech.

This course aims to discuss political, social, cultural and economic transformations in the 19th century in their relation with the formation of the Republican Turkey and focuses on the modernization process in the early republican period until 1945.

HSS Elective-I

Political, social and cultural development of Turkey since WWII. Transition to multi-party system, social transformation in 1960s and 1970s, as well as the demographical change, industrialization and new social movements. The coup d'état of 1980 and its aftermath, political and social polarization in 2000s.

Complementary Elective-I

Free Elective-I

Complementary Elective-II

HSS Elective-II

Free Elective-II

HSS Elective-III

Data description. Text analysis. Summary and paraphrase of simplified research articles and data charts. IMRAD Summary. Critical thinking and logical argumentation skills to express an informed opinion. Presentation of information to an audience in an academic setting.

Area Elective-I

Introduction to basic IT theory and terminology. Basic skills in a word processor programs, such as MS Word to create documents, format text, apply styles. Basic skills in a spreadsheet program, such as MS Excel, to create and format spreadsheets, including the use of mathematical formulas and to summarize given data in the form of graphics.

Critical thinking and logical argumentation. Academic research. Annotations, citations, quotations. Identification of arguments, reasoning, logical cohesion. Debates. Evaluative summary. Interview.

The basic theories in Ethics (the Philosophy of Morality). The practical implications of these theories in particular professions and areas such as engineering, medicine, pharmacology, genetics, technological innovation, artificial intelligence and robotology, management, marketing, international relations, public services, media and law. The meaning and significance of virtue and values. Moral principles within particular professions and their foundation in Ethics.

Introduction to Java, Objects and classes, constructor, static variable, constants, methods, visibility modifiers, passing objects to methods, immutable objects, data field encapsulation, class abstraction, inheritance.

Functions of several variables. Limits and continuity. Partial derivatives. Chain rule for partial derivatives. Directional derivatives. Local maxima and minima. Lagrange multipliers. Taylor’s formula. Double integrals in Cartesian and polar coordinates. Triple integrals in Cartesian, cylindrical and spherical coordinates. Line integrals. Green’s theorem. Surface integrals. Stokes’ theorem. Divergence theorem.

General Elective-I

Resources and scarcity; supply and demand; the mixed economy; market structure; national income, business cycles, unemployment and inflation; economic growth and productivity; money, banking and monetary policy; international trade and finance

Minimum of 20 workdays of practical training at service sector. Join the operations, do necessary observations and report the knowledge accumulated from IE point of view.

Project selection.Role of the project manager.Project organization.Project planning, budgeting and cost estimation.Scheduling, resource allocation, monitoring and tracking projects using information systems. Project control, audit and termination.Exploration of basic tools and techniques.Special emphasis on project leadership, conflict resolution and communication skills.Risk analysis and problem solving in team-based projects.

Area Elective-II

General Elective-II

Engineering project and risk management, feasibility analysis. Preparing project proposals. Interdiciplinary teamwork. Examples of social, environmental, ethical, legal aspects of engineering solutions for contemporary real life problems. Examples of entrepreneurship and innovation practices. Widely used engineering standards.

Minimum of 20 workdays of practical training at manufacturing or supporting industry sector. Join the operations, do necessary observations and report the knowledge accumulated from IE point of view.

Area Elective-III

Area Elective-IV

General Elective-III

General Elective-IV

History of occupational health and safety. Work law. Occupational health and safety law. National and international conventions. Occupational diseases. Introduction to the concept of hazard and risk

Area Elective-V

Area Elective-VI

General Elective-V

General Elective-VI

Hazard and risk concept. Chemical risk factors. Physical risk factors. Biological risk factors. Psychological risk factors. Ergonomic risk factors. Risk analysis and types. Industrial applications

Science Elective-I

Introduction to computers, computer programs and the Java language, identifiers, variables, assignment statements, constants, data types, casting, selections, loops, methods, arrays, strings and characters.

Multivariable functions, partial derivatives, directional derivatives. Lagrange multipliers. Double integrals, triple integrals, line integrals. Green's theorem. Surface integrals, Stokes' theorem. Gauss theorem (Divergence Theorem). First order differential equations. Second and higher order linear equations with constant coefficients. Reduction of order. Nonhomogeneous equations. The Laplace transform, initial value problems. Systems of first order linear equations with constant coefficients.

Reading/listening comprehension and written/spoken abilities towards ‘Basic User’ level defined as A1 according to the Common European Framework (CEF).

Four basic language skills towards ‘Basic User’ level defined as A2 accroding to the CEF.

Basic grammatical structures and sentence patterns. Basic range of simple expressions about personal details and needs of a concrete type. Basic greeting and leave-taking expressions. Daily routines. Definitions about people and places. Personal profiles. Social networking. Informal e-mails.

Basic definitions. First-order partial differential equations. Classification of second-order partial differential equations. The wave equation. The diffusion equation. Maximum principle. Initial and boundary conditions. Well-posed problems. Separation of variables. Inhomogeneous wave and diffusion equations. Diffusion with a source. Waves with a source. Laplace’s equation. Laplace's equation for rectangles and cubes. Poisson’s formula for circles, wedges and annuli. Green’s identities and functions.

Introduction to computers, computer programs and the Matlab language, identifiers, variables, assignment statements, data types, selections, loops, methods.

Simple grammatical structures and sentence patterns. Description or presentation of people, living or working conditions, daily routines, likes/dislikes. Phrases and expressions related to areas of most immediate priority (e.g. personal and family information, shopping, local geography, employment.) Comparisons. Formal e-mails.

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