Courses

Objectives
What are the new students registered to my university, university, what is it? Education and teaching throughout life to explain what to do, what to do and what not to do.

Course Content
Introducing curriculum, functioning, units, regulations, systems and facilities within the scope of Orientation Program for new students enrolled to my university.

Essentials of microeconomics and macroeconomics: the economic problem; demand, supply, and price determination; theory of consumer behavior; theory of the firm; market structures;national income and its determination; problems of economic growth, unemployment, and inflation; macroeconomic policy tools.

This course aims to enable students to improve their foreign language skills in listening, speaking, reading, writing and grammar with the help of materials that meet academic standards.
This course involves various applications such as debates, interactive learning activities, essay writing, listening and exercises through massive use of technology as well as vocabulary study in order to improve students academic skills and encourage critical thinking and research.

This course gives an introduction to the history of engineering and development of Industrial Engineering as well as the relationship with other engineering disciplines. System approach and the basic concepts of Industrial Engineering are introduced. Basic tools and methods of industrial engineering, and their application in manufacturing and service industries are explained.

Foundations, coordinates and vectors, functions, limits, continuity, derivative, tangent lines, the mean value theorem, graphing, extreme values, optimization problems, linearization and differentials, integration, Riemann sums and definite integrals, the fundamental theorem of calculus, natural logarithm, exponential functions, inverse trigonometric functions, L'Hospital's rule, methods of integration, applications of integrals.

Measurement and vectors, kinematics, Newton's laws, circular motion, gravitation, work and energy, conservation of energy, momentum, statics, rotational Motion, simple harmonic motion, wave motion, heat, the first law of thermodynamics, kinetic theory of gases, the second law of thermodynamics, entropy (Related experiments).

Dersin amacına uygun olarak, öğrencilerin özgür ve bilimsel düşünce gücüne ve geniş bir dünya görüşüne sahip bireyler olmalarını sağlamak, ulusal kültürümüzün ve dilimizin evrensel kültür içinde korunarak geliştirilmesine ve zenginleştirilmesine katkıda bulunmalarını sağlamak amacıyla TÜRK 103 dersinde; dillerin ortaya çıkışı, köken ve yapı bakımından dünya dilleri, Türkçe'nin dünya dilleri arasındaki yeri, Türkçe'nin tarihsel gelişimi, yapı bakımından Türkçe,sözcükleri kök ve eklerine ayırma ve sözcük türetme çalışmaları, anlatım bozuklukları,dilekçe yazma,özgeçmiş hazırlama gibi konular işlenmekte; dersin amacını desteklemek üzere çeşitli romanlar, şiir kitapları, deneme kitapları okunup incelenmektedir.

Chemical foundations, atoms, molecules and ions, modern atomic theory, chemical compounds and their nomenclature, stoichiometry of chemical reactions, chemical calculations, reactions in solutions, precipitation, acid-base neutralization and oxidation-reduction (redox) reactions, gases, thermochemistry, periodic table and its properties, properties of solutions, chemical reaction kinetics and principles of chemical equilibrium. Laboratory experiments accompany the lectures.

Fundamental concepts of mechanics: vector operations, forces and couples, free body diagrams, equilibrium. Friction. Distributed forces. Normal and shear forces and moment diagrams. Mechanics of deformable bodies: stress/ strain, generalized Hooke's law. Engineering applications: axial loads, torsion of circular rods, bending and shear stresses in beams, deflection of beams, combined stresses. (Students from Mechanical Engineering are not allowed to take this course)

Sequences and series, Taylor and Maclaurin series, lengths of plane curves, polar coordinates and complex numbers, lines, planes and quadric surfaces in space, functions of several variables, limits and continuity, partial derivatives, differentiability, the chain rule, directional derivatives, extreme values, multiple integrals, integrals in polar, cylindrical and spherical coordinates, line integrals and surface integrals.

Electric charge and matter, electric field, electric flux and Gauss's law, potential, capacitors, current in materials, DC circuits, magnetic field and magnetic force, Ampere's and Faraday's laws, inductance, electromagnetic waves, geometrical optics, interference, diffraction and polarization, the particle and wave nature of EM radiation ( Related experiments ).

Importance and Significance of Turkish Revolution, Ottoman Empire in The Contemporary Age and Reasons of Its Collapse, Efforts to Save the Empire; First Reforms, Nizâm-ı Cedit Reforms, II. Mahmut Reforms, The Tanzimat Period, Transition to Constitutional Monarchy; First and Second Constitutional Era, Ideological Movements in the Last Period of Ottoman Empire, Wars That Ottoman Empire Loined in the Beginning of the 20th Century: The Tripoli War, the Balkan Wars and the First World War, its Reasons, Developments and Results, Ottoman Empire and War Fronts in the First World War and Its Results, Secret Agreements about the partition of Ottoman Empire, Armistice of Mondros and Reactions, Life of Mustafa Kemal Pasha, Occupation of Izmir by the Greeks and Reactions to the Occupation, Mustafa Kemal Pasha’s Arrival to Samsun and Organization Activities, Mustafa Kemal Pasha’s Organization efforts to National Resistance Movement: Amasya Circles, Erzurum and Sivas Congresses, Amasya Negotiations and Protocols, Meeting of the Last Ottoman Parliament in Istanbul, National Pact Desicions, Occupation of Istanbul by the Entente States and The Reaction Against the Occupation, Opening of the Grand National Assembly of Turkey in Ankara and its First Decisions and its applications, Uprising in the Period of National Struggle, Sharing Plans for Turkey and Treaty of Sevr, Turkish War of Independence, War Period; Establishment of National Army, Eastern Front; The Armenian Question and the Wars Made by the Armenians, The Birth of the Nationalist in the South Front and the War with the French, The Wars of the Regular Army in the Greek Front in the Western Front; the Battle of I. Inönü and Developments in Diplomatic field, II. Inönü War, Sakarya Battle, Grand Offensive, Great Victory, Political Struggle and Peace; Mudanya Armistice, Lausanne Peace Conference and Peace Treaty, Qualities and Objectives of Turkish Revolution, Reforms in Political Area, First Constitutions and Constitutional Amendments, Experiences Transition to Multi-Party Period and Reacitons Against Revolution, Constitutions Made in the Fields of Law, Education and Culture, Regulations in the Community, Development in the Economic Area, Turkish Foreign Policy During the Atatürk Period and Its Developments (1923-1932), Turkish Foreign Policy During the Atatürk Period and Its Developments (1932-1938), Turkish Foreign Policy in the Second World War and After the War, Transition to Multi-Party Period, Principles of Turkish Revolution.

Visual Studio, C++ Applications, Coding and Testing, Data Types, Operators, Expressions, Assignment, Control Structures, String Type, Input Data Validation, Arrays, Handling Exceptions, Simple File I/O, Functions

Matrices, row equivalence, invertibility, systems of linear equations, determinants, Cramer's rule, vector spaces, linear dependence and independence, bases, inner product spaces, Gramm-Schmidt orthogonalization process, orthogonal projections, Fourier series, eigenvalues, eigenvectors, exponential matrix, diagonalization and its applications, linear transformations and their matrices.

Roles of engineering drawing. Lines and geometric construction. Orthographic projection, sections and sectional views. Principles of dimensioning and tolerances. Screws and fasteners, keys, springs. Gears and cams. Pictorial drawings. Assembly drawings. Three dimensional design and solid modeling.

Statistics in engineering. Probability, elementary theorems, conditional probability, Rule of Bayes. Random variables, the Binomial, Poisson, Hypergeometric distributions. Mean and variance of a probability distribution, Chebyshev's theorem, the Multinomial distribution. Continuous random variables, the normal and other probability densities, Joint probability densities. Frequency distributions, graphs, descriptive measures. Sampling distributions.

Principles of metal casting; bulk deformation processes, forging, extrusion, drawing, rolling; sheet metal working processes, tearing, bending sheet forming; particulate processing, Polymer processing, joining processes, machining.

Productivity and work study, method study; work measurement, work sampling, time study, physiological aspect of human performance and activities. Human interface with the work environment and identification of factors. Human interface with the machines, information and communication systems. Ergonomic principles at work site, engineering antropometry, energy necessity during work. Human interface with organizational and supervisory structure. Human interface with robots and intelligent machines.

Basic concepts of differential equations, first order differential equations, solutions of linear differential equations, linear equations with constant coefficients, Cauchy-Euler equations, systems of simultaneous linear differential equations, Laplace transforms, application to the solution of linear equations and linear systems, power series solutions of linear equations, introduction to partial differential equations, separation of variables.

Inferences concerning means, point and interval estimation, tests of hypotheses, inferences concerning variances, estimation of variances. Inferences concerning proportions. Short-cut methods in inference, the Kolmogorov-Smirnov tests. Curve fitting, regression, multiple regression, correlation. Analysis of variance, one-way and two way classification, experimental design. Factorial experimentation. Applications to Quality Assurance. Applications to reliability and life tests; Failure time distributions

Provide the students with the basic accounting theory, language and practice. To ensure that they can manage, interpret and analyse the accounting transactions and the financial statements based upon it.

Basic applications of linear programming; basic linear programming models; simplex algorithm, Big-M method, two-phase simplex method, duality, sensitivity analysis, transportation and transshipment models, GAMS software

Design issues in production systems; strategic planning, technology selection, product design; facilities planning: job design; facility layout for product- process oriented manufacturing systems, line balancing techniques, job-shops; facility location problems.

Introduction to production planning and control; Forecasting; Aggregate planning; Master production scheduling; Material requirements planning; Capacity planning and management.

Integer Programming, Branch and bound algorithms, Gomory cutting plane algorithm, traveling salesman problem, CPM and PERT, stochastic and deterministic dynamic programming, introduction to Non-Linear programming

Introduction to inventory management; Replenishment systems for managing individual-item inventories: Deterministic and probabilistic demand; Managing multi-item inventory systems; Production scheduling; Push and pull production control systems.

The course provides a fundamental and comprehensive coverage of Total Quality Management (TQM), and covers its principles and practices, as well as its tools and techniques. The issues to be discussed are Quality as a strategy, the history and the definitions of quality, quality management evolution, TQM philosophy, principles and practices, quality costs, performance measures, tools and techniques, ISO 9000, 14000; quality and environmental management systems, statistical quality control; basic tools, control charts, pre-control, process capability and sampling standards, advanced techniques of experimental design and Taguchi method.

This course introduces economic analysis for decision making in engineering design, manufacturing equipment and industrial projects by considering the time value of money.

This course includes Occupational Health and Safety which is very important concept in national and international fields. Legislation and practise is explained about Occupational Health and Safety in order to build awareness among students. Additionally, including global ethical principles and values, ethics theories, engineerin ethics and principles, examination and discussion of professional dilemma.

Definition of systems simulation. Determination of basic steps. Design of simulation model for continuous systems. Probability concepts in simulation. Queuing models. Design of simulation model for discontinuous systems. Simulation languages. Simulation models in industrial systems.

Students will learn how a product development process is designed and managed, how the conceptual design methods are applied, and how group studies could be used.

The project is undertaken by a student, either together with a small team of other students or individually, under the supervision of a faculty member. Students are required to meet on a regular basis for consultation with their supervisors. A written midterm progress report and a final report are required.

The work carried out as part of this programme of work is very similar to the requirement of the project. However while the project primarily concentrates on application of techniques, the graduation thesis, is an independent study of on realistic industrial problems.

Symbolic logic. Set theory. Cartesian product. Relations. Functions. Equipotent sets. Countability of sets. More about relations: equivalence relations, equivalence classes and partitions. Quotient sets. Order relations. Mathematical induction and recursive definitions of functions.

Convergence, stability, error analysis and conditioning. Solving systems of linear equations: The LU and Cholosky factorization, pivoting, error analysis in Gaussian elimination. Matrix eigenvalue problem, power method, orthogonal factorizations and least squares problems. Solutions of nonlinear equations. Bisection, Newton's, secant and fixed point iteration methods.

Electromagnetic waves, Poynting vector, light and its propagation, polarization, reflection, refraction, geometrical optics, mirrors, lenses and optical instruments, interference, coherence, single and double slit interference experiments, diffraction, wave theory of light, single and double slit diffraction experiments, gratings and spectra.

Special theory of relativity, nuclear structure and radioactivity, nuclear reactions (fission, fusion), high energy physics (fundamental forces, classification of the particles, particle interactions and decays, accelerators, detectors), general theory of relativity, astrophysics (stars, nucleosynthesis, white dwarfs, neutron stars, black holes), cosmology (the expanding universe, cosmic microwave background radiation, dark matter, the big bang model).

History of nanoscience and nanotechnology, highlights of major accomplishments, chemistry of nanotechnology (fuel cells, encapsulation, nanoparticles, carbon nanotubes, nanocomposites, self-assembly, surface chemistry), current research tools and techniques (microscopy, simulation, crystallography, interferometry, chemical synthesis, plasma treatments, lithography), manufacturing processes (self-assembly, lithography, etc.), recent progress in microscopy, software, materials, electronics, energy and life sciences, approach to nanotechnology around the world (governments, universities, commercial enterprises) current commercial activity (nanoscale devices, life sciences, etc.), future. Laboratory experiments for underlying concepts accompany lectures.

Permutations and combinations with and without repitations. The inclusion-exclusion principle. Generating functions. Recurrence relations. Basic concepts of graph theory. Planar graphs. Hamilton paths ang graph coloring. Trees. Optimization and matching. Transport Networks.

Axiomatic structures in geometry; finite geometries, Euclidean and non-Euclidean geometries. Polygons, similar figures. Properties of circles. Constructions. Geometric solids. Angle measurement in radians and degrees, trigonometric functions and their applications to right triangles, laws of sine and cosine, graphing trigonometric functions, trigonometric identities. Polar coordinates. Rotation and translation in the plane. Vectors in the plane and space. Lines in the plane, lines and planes in space. Basics about conics, quadrics.

Algebra of complex numbers. Polar representation. Analyticity. Cauchy-Riemann equations. Power series. Elementary functions. Mapping by elementary functions. Linear fractional transformations. Line integral. Cauchy-Theorem. Cauchy integral formula. Taylor's Series. Laurent series. Residues. Residue theorem. Improper integrals.

First order equations; linear, quasilinear and nonlinear equations. Classification of second order linear partial differential equations, canonical forms. The Cauchy problem for the wave equation. Dirichlet and Neumann problems for the Laplace equation, maximum principle. Heat equation on the strip.

Fourier series. The Fourier transform, inverse Fourier transform. The Laplace transform. The inversion integral for the Laplace transform (complex contour integration). Applications of Laplace transform to linear ordinary, partial differential and integral equations. The z-transform. The inversion integral for the z-transform. Applications of z-transform to difference equations and linear networks.

Electric charge and matter, electric field, Gauss law, electric potential, capacitance, current and resistance, electromotive force and circuits, magnetic fields, Ampére's law, Faraday's law, electromagnetic oscillations and alternating current, Maxwell's equations, magnetism of matter.

The photoelectric effect, the wavelike properties of particles and the uncaertainty principle, the Schrödinger equation, the Bohr model of the atom, the hydrogen atom in wave mechanics, many electron atoms, molecular structure, statistical physics (Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics), solid-state physics (band theory of solids, superconductivity, semiconductors).

Static games of complete information, dominant strategy equilibrium, Nash equilibrium, mixed strategy equilibrium, extensive form games, backwards induction, subgame perfect Nash equilibrium, repeated games, uncertainty and information, bidding strategy and auctions, supply chain problems, bargaining, voting.

Design, construction and manufacturing of machine elements. Continuous strength concept and dimensioning with respect to continuous strength. Several types of joints. Shafts, axles, coupling and clutches. Friction, wear, lubricants, fluid film lubrication, sliding and rolling bearings. Belt drives, gear trains, spur, helical, bevel and worm gears, Chain drives

Introduction. Control systems terminology. Block diagrams, feedback principles. The Laplace transform. System dynamics and generalised impedance. Analogy. Transfer functions and block diagram algebra, signal flow graphs. The analysis and design of feedback control systems, the transient response. Industrial control types. Closed-loop control systems. Stability. Frenquency response method, Nyquist analysis .Bode analysis. Root-Locus method.Fundamentals of control theory for applications of pneumatic, hydraulic, electrical, fluidic, transfer, feeding and numeric control devices to automated equipment.

Productivity Management has become a critical success factor in today's tough marketplace. Being able to understand what's working and what's not, and to take action fast is crucial for future business managers. The aim is to create an opportunity for students to learn and demonstrate various performance measurement techniques and to study of productivity management philosophies, methods and design of productivity improvement systems.

Industrial society, industrial relations, work life and unemployment, value and social significance, cooperation in industry and society; trade unions, health and safety at work, professional bodies and their services; interpersonal and communication skills, self-development and self-assessment.

Basic nonlinear programming applications in industrial engineering, basic analytical and numerical solution methods for unconstrained nonlinear programming models, characterization of convex functions and their role in optimization, Lagrange multipliers method, Kuhn-Tucker conditions, basic applications of Markov chains in industrial engineering, basic Markov chain analysis and its applications in strategic decision problems, N-step transition probabilities, steady-state probabilities, first step analysis

Systematic evaluation of decision-making problems under uncertainty, formulation, analysis and use of decision-making techniques in Engineering and Operations research; formulation of risk problems and probablistic risk assessments.

Minimum spanning tree problem, shortest path problem, Dijkstra's algorithm, Bellman-Ford algorithm, maximum flow problem, Ford-Fulkerson algorithm, minimum cost network flow problem, network simplex algorithm

The course will cover topics such as fundamentals of Computer Integrated Manufacturing (CIM) and automation; concept of Industry 4.0, databases, industrial robotics, flexible manufacturing systems (FMS), computer-aided process planning, AGV’s and AS/RS, group technology and cellular manufacturing systems, just -in-time manufacturing systems, internet enabled manufacturing, virtual manufacturing and e-maintenance.

Introduction to business processes and ERP systems; Introduction to accounting; Business processes: Procurement; Sales and distribution; Production; Material planning.

This course discusses the basics every manager needs to organize successful technology-driven innovation in both entrepreneurial and established firms: Creativity and innovation concepts, business ideas, creativity developing techniques, project management, business plan development.

Multi-stage systems (distribution, production-distribution, joint order costs); centralized planning models for multi-echolon inventory systems under uncertainty; continuous review policy for multi-level inventory systems; performance evaluation of production networks; manufacturing lead times, order release, capacity loading; distribution requirements planning, Just in Time systems, Kanban control systems.

This course aims to present the basic concepts, techniques and algorithms for scheduling problems faced in manufacturing and service sectors.
CPM, PERT, Machine Scheduling, Job Shop Scheduling, Flexible Assembly System Scheduling, Economic Lot Scheduling, Interval Scheduling and Timetabling, Transportation Scheduling, Workforce Scheduling, Scheduling Problems in Healthcare

Definition of project management; components of project management; development of the project organization; analysis of activities; project scheduling; resource management; budgeting; project execution and control

This course teaches the general process of defining and establishing strategy for a company. A general perspective for the future, along with the method and its associated applications for defining a strategy and its corresponding goals and sub-targets.

Environmental problems, global warming, water supply and treatment, water pollution and water quality, standarts, wastewater treatment, air pollution, solid waste, hazardous waste, noise pollution, nuclear energy, effect of pollutants on human health, environmental impact assessment.

This course provides a brief introduction to machine learning based on fundamental knowledge of statistics, linear algebra, optimization. Course content includes not only the theoretical foundations of machine learning (classification, regression, neural networks, clustering), but also the application of real-life problems.

Review of OOP basics; Software reusability, class composition, data abstraction and information hiding, Abstract Data Types, template classes , operator overloading; dynamic memory allocation, inheritance; abstract functions; polymorphism; stream input/output; exception handling; basic data structures.

The basic concepts and techniques of discrete mathematics that are closely related to computing: basic concepts of logic, propositional logic, set theory, functions, sequences, counting, relations, algorithms and their complexity analysis, applications of number theory; mathematical reasoning, induction and recursion; graphs theory, shortest path problems, trees, sorting and searching algorithms and applications.

The principles involved in the design, evaluation and implementation of programming languages, syntax, semantics, binding, type checking, data types, expressions, control structures, subprograms, abstract data types, support for object-oriented programming, concurrency, exception handling, and functional, logic and object-oriented programming.

The aim of the course is to teach the students data structures algorithms and how to think systematically by the use of examples from various topics.
Content:
Introduction; data types and data structures, abstract data types, elements and structure, virtual and physical data types; Abstract data types, object-oriented programming with contrasts drawn between this and a number of other object-oriented languages; object-oriented applications, examples of software systems constructed on the basis of the object-oriented paradigm.

Field and space of real numbers, distance and norms in mathematical spaces, matrices, equations with real coefficients; the matrix inversion problem, eigenvalues and eigenvectors; recurrence relations, mathematical induction, and recursive algorithms; error analysis, evaluation and estimation; iterative methods in computational numeric analysis; finding roots of polynomials; numerical integration and differentiation; solving systems of linear algebraic equations, linear differential equations; the idea and concept of computer algebra systems and symbolic computation; computer handling of polynomials and rational functions; Square-free decomposition of polynomials; the extended Euclidean algorithm; Rational functions and partial fractions.

The nature of information in organizations; an introduction to computer based systems and the extent to which they satisfy the information requirements of organisations. The impact of these systems on organisations and users. Detailed discussion about the various applications of computers in business and engineering applications. Analysis of system requirements and system development life cycle. Process and data modeling, relational data analysis.

This course covers the concepts and practice necessary for creating Internet content. It provides a technical overview of the Internet environment and the structure of the World Wide Web. The technical segment will focus on the design and implementation of an effective web site at the introductory level

System development and modification process. Object oriented analysis and design. Use of data modeling tools. Development and adherence to life cycle standards. Life cycle phases: requirements determination, logical design, physical design, test planning, and performance evaluation. Communication, interpersonal skills, interviewing, presentation skills; group dynamics. Risk and feasibility analysis. Group-based approaches: project management, joint application development, structured walkthroughs; object-oriented design; software quality metrics; application categories; professional code of ethics.

This course aims to teach fundamental concepts behind the design, implementation and application of database systems.
Basic concepts of database systems; The relational model: domains and relations, data integrity, relational algebra, relational calculus, SQL; Database design: functional dependencies, normalization, entity/relationship model; File Structures, indexing and hashing; Data protection: recovery, concurrency, security, integrity; Views; Optimization; Distributed database systems; Object-oriented systems.

An overview of management information systems is presented; including IS managerial concepts. Topics include MIS components and organizational structures, issues in the design and implementation of systems, and understanding the role of information systems in organizations.

An introduction to MATLAB programming. In addition, it introduces and reinforces the use of general problem-solving methodology as practiced by the engineering profession and as applied to the use of computers. Topics cover basic operations and arrays; how to use files; 2D and 3D plots; fundamentals of linear equation solution methods; and the MATLAB programming language including decision operators and loops. Several exercises provide practice in solving engineering problems with MATLAB

This course introduces basic concepts, tasks, methods, and processing techniques in data warehousing and mining. The emphasis is on various data mining problems and their solutions. Data-mining and knowledge discovery use a wide range of algorithms and techniques, drawn from areas as databases, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, and data visualization. The course gives a broad overview of the area of data warehousing and mining, its basic concepts and techniques from database perspective.

This course deals with the fundamental concepts, components and issues in e-commerce business.
Introduction to E-commerce, E-commerce Business Models, E-commerce Infrastructure, Building an E-commerce Presence, E-commerce Security and Payment Systems, E-commerce Marketing and Advertising Concepts, Ethical, Social, and Political Issues in E-commerce, Social, Mobile, and Local Marketing, Online Retail and Services, Online Content and Media, Social Networks, Auctions, and Portals, B2B E-commerce.

The course is an introduction to German, aiming at both providing the learners with basic language skills, grammar, vocabulary, and thus making them develop elementary communicative skills.

A continuation of ALM 101. ALM 102 aims at developing the body of knowledge taught in the former course, introducing new grammar subjects and developing speaking and listening skills.

This course aims to develop a hypothesis regarding a research question, gathering data, analyse and report

The development of management theory; management functions and evaluation of management; environment, corporate culture and impact of globalisation; decision-making: goal setting and planning; strategic management; planning tools and techniques; organising and coordinating; Human resources management; leadership; control.

The aim of this course is to prepare the students for their career by providing the basic knowledge and skills related to organizational behaviour such as personality, social groups, attitudes and job satisfaction, organizational culture, power and politics, conflict, stress and so on.
Course Content:
Definition of OB; perception process; personality and attitudes; motivation; Learning; Work groups; conflict and stress management; power and leadership; communication; decision making; organisational culture and structure; management of change; conflict management; culture.

Overview, objectives and trends; Job analysis; HR planning; recruitment and selection; personnel selection; organisational training; career development; Job evaluation; Performance management; direct and indirect compensation.

International marketing concepts; The international marketing environment, modes of entry to international markets, market classification and analysis in international context, the marketing mix in international context, diffusion of innovation and the product life cycle.

Concepts and approaches to ethics; the application of traditional theriories to contemporary business decisions; ethical values, religious values and their relationships with business values, business ethics and social responsibility; business ethics and business strategy; business functions and their evaluation in relation to competition; ethics and environmental awareness, ethics in global businesses.

Systems fundamentals; Interrelationships between MIS individual human behaviour and organisational behaviour; Information systems applications: functional systems, decision support and executive information systems, artificial intelligence; office automation; information systems and processing technology; database management systems; development of user application

Course focuses on the two main areas essential for effective business communication: (a) Expressing one's own opinion effectively, (b) Listening and understanding others. To this end, the course covers the following topics: Tools of communication, visual communication, how to solve conflict effectively, qualities of mediator, how to speak up without putting others down, how the bring out the better side of difficult people, how to communicate with consumers, how to communicate with focus groups.

Learning standard Chinese as mandarin. Teaching target is to let students understand Chinese language, such as speaking as the most important section, listening as second important section, vocabulary and grammar as third important position and writing as the last step, besides, the students are going to understand and learn various cultures as well.

A continuation of CIN 101. CIN 102 aims at enhancing the body of knowledge taught in the former course, introducing new vocabulary and their use in various dialogues.
This course aims to let students know more Chinese language and Chinese cultures, especially Chinese current economic situation; the students have to know more details about Chinese Daily using vocabulary and can able to use them to make sentences as well, start to learn Chinese characters such as history, strokes and rules to write, the students have to able to write few basic words.

This module introduces students to the field of social sciences. It addresses major social science disciplines and their interrelatedness. The main aim is to inform students about social science fields and to provide a broader understanding of the society and its institutions.
Course Content:
Defining social science and scientific method, early societies, culture, social stratification, the brief history and theoretical concepts of Anthropology, the self and socialization, explaining the modern industrial society through Marx, Weber and Durkheim, definition and forms of the government, defining economy and its main concepts.