Properties of perfect and real gases, the first and second laws of thermodynamics, entropy, free energy, physical transformations of pure materials and simple mixtures, the phase rule and phase diagrams, chemical equilibrium. Lab component.

Quantum mechanics, solution of the particle-in-a-box, harmonic oscillator and hydrogen atom; orbital concepts, the structure of many-electron atoms, molecular orbital theory, molecular symmetry and group theory; rotational, vibrational and electronic spectroscopy.

Materials for biomedical applications; synthetic polymers, metals and composite materials as biomaterials; biopolymers, dendrimers, hydrogels, polyelectrolytes, drug delivery systems, implants, tissue grafts, dental materials, ophthalmic materials, surgical materials, imaging materials.

Detailed examination of advanced topics in selected areas of Chemistry.

This advanced course will help students to understand fundamental methods used for materials characterization. Students will learn principles and applications of detectors and amplifiers, optical spectroscopy, electron and scanning probe microscopy, X-ray diffraction, fluorescence and spectroscopic methods, surface analysis techniques. Students will be able to use the knowledge in the broad area of materials research. By the end of the course, the students will be able to choose appropriate methods for characterizing each specific type of materials and to treat and analyze the data obtained by such techniques.

Materials for biomedical applications; synthetic polymers, metals and composite materials as biomaterials; biopolymers, dendrimers, hydrogels, polyelectrolytes, drug delivery systems, implants, tissue grafts, dental materials, ophthalmic materials, surgical materials, imaging materials.

SEMINAR

Basics of grammar and vocabulary, listening, and speaking. Readings include newspapers, poems, and authentic documents. Language labs using multimedia systems are part of the language courses.

Basics of grammar and vocabulary, listening, and speaking. Readings include newspapers, poems, and authentic documents. Language labs using multimedia systems are part of the language courses.

Kalp ve damar sisteminin anatomi ve histolojisi, kalp kası kasılmasının fizyolojisi, damar sisteminin sıvı mekaniği, kana akımı ve kan basıncının yerel ve merkezi kontrolü, toraks, akciğerler ve üst solunum yollarının anatomi ve histolojisi, solumun mekaniği, akciğerlerde havalanma ve kan akımı, solunumun merkezi kontrolü, dolaşım ve solunuma ilişkin elektrik, mekanik, hidrolik ve ısı sistemleri, disseksiyon, model inceleme ve interaktif yazılımlar aracılığıyla bu sistemlerin yapı ve fonksiyonlarının araştırılması.

Importance of strategy and strategic management in today?s competitive environment. Analysis, decision and implementation steps in strategic management. Types of external and internal analysis. Corporate and business strategy. Competency based approach in the formulation of strategy. Successful implementation of strategy and organizing the firm for superior performance.

Marketing management in modern organizations; knowledge and application of key strategic frameworks to customer analysis, environment, competition, and organizational strengths and weaknesses. Creative selection of target markets and planning the components of the marketing mix. The role and use of information in marketing planning, determinants of and the nature of buying behavior. The complexity of developing and managing the marketing process in a multinational arena.

An introduction to interactive Python and Jupyter Notebooks, Python built-in data structures, conditional statements, loops, functions, strings and basic input/output, basics of data manipulation and visualization with relevant Python libraries, different types of plots, vector/matrix representations, linear algebra operations, probability/statistics operations, data analysis applications

Ability to communicate in English with a special emphasis on medical terminology deve- lopment, spelling and pronunciation. Reading and listening to medical terminology, understanding its meaning and writing short essays using terms correctly.

An introductory course covering: Logic, formal reasoning, propositional logic, sets, growth of functions, algorithmic complexity, number theory, mathematical induction, combinatorics, recurrence, generating functions, relations, graphs, and models of computation.

COMP 110 is a first course in computer programming. The objective is to introduce the principles of computer programming and algorithm development using Matlab, with particular emphasise on scientific computation and data processing. Topics covered include basic computer literacy and organization; variables, operators, expressions, data types, arrays, matrices; conditional and repetition control statements; modular programming, built-in and user-defined functions; string manipulation; text and binary file processing; structures; debugging; data plotting and visualization; graphical user interfaces.

COMP 110 is a first course in computer programming. The objective is to introduce the principles of computer programming and algorithm development using Matlab, with particular emphasise on scientific computation and data processing. Topics covered include basic computer literacy and organization; variables, operators, expressions, data types, arrays, matrices; conditional and repetition control statements; modular programming, built-in and user-defined functions; string manipulation; text and binary file processing; structures; debugging; data plotting and visualization; graphical user interfaces.

COMP 110 is a first course in computer programming. The objective is to introduce the principles of computer programming and algorithm development using Matlab, with particular emphasise on scientific computation and data processing. Topics covered include basic computer literacy and organization; variables, operators, expressions, data types, arrays, matrices; conditional and repetition control statements; modular programming, built-in and user-defined functions; string manipulation; text and binary file processing; structures; debugging; data plotting and visualization; graphical user interfaces.

This course is a general introduction to programming using the Java programming language. It emphasizes the structured programming language aspects of Java and de-emphasizes its object-oriented aspects. The latter are covered only to the extent that enables students to use standard Java libraries for common tasks. Students who complete this course successfully should gain a solid foundation in algorithmic thinking and structured programming, and should be able to perform basic, common computational tasks easily and efficiently.

This course is a general introduction to programming using the Java programming language. It emphasizes the structured programming language aspects of Java and de-emphasizes its object-oriented aspects. The latter are covered only to the extent that enables students to use standard Java libraries for common tasks. Students who complete this course successfully should gain a solid foundation in algorithmic thinking and structured programming, and should be able to perform basic, common computational tasks easily and efficiently.

Overview of computers, Programming, algorithms, and programming languages. Programming with Python: Data types, variables, operators. Control statements: conditionals, loops, iteration. String manipulation. Functions, recursion, decomposition and abstraction. Tuples, lists, dictionaries. Aliasing, mutability, cloning. Files. Object oriented programming, classes, inheritance. Testing, debugging, exception handling, program efficiency.

The aim of the course is to give qualified engineering students a unique opportunity to teach as a part of their undergraduate experience. Students are responsible for teaching sections for the course COMP130 Introduction to Programming. Students cover and teach materials such as functional decomposition, control statements, methods, recursion, strings, arrays, abstract data types, exception handling, graphical user interface and other fundamental elements of modern programming by using the Java language.

Introduction to core software engineering concepts. Control of complexity in large programming systems. Building abstractions with procedures and data. Modularity, objects and state. Machine models, compilers and interpreters. Concurrency.