Topics include Boolean algebras, logic, set theory, relations and functions, graph theory, counting, combinatorics, and basic probability theory.
Algorithm analysis, linear data structures, trees, hashing, priority queues, sorting, and graph algorithms.
This course aims at preparing students to use academic skills in English.
ENG 102 is a compulsory course for first year students. ENG 102 focuses on the cognitive skills of listening, reading, writing and speaking. Students' academic listening skills will be improved by listening to important / relevant information from lectures or discussions and reading skills by reading recent academic texts and then using this information to create an output task. Speaking focuses on giving presentations and students get prepared to express their ideas and opinions by speaking persuasively and coherently. The writing component is a consolidation of the speaking activities.
The course focuses on technical writing and oral presentation skills by engaging students in project work related to their departments. It also covers language areas specific to the genre of technical reports, summaries and project proposals.
In this course, the main aspects of engineering history, the fundamentals of ethics in engineering, the analysis of engineering applications from an ethical perspective, the environmental, social, and economic sustainability of engineering applications. The public health and safety impacts of engineering applications, the fundamentals of entrepreneurship and innovation, success stories of entrepreneurial engineers, the methods of obtaining scientific information, the usage of scientific databases will be covered.
The course will cover basic engineering concepts such as units, engineering analysis and design process. The second half of the course will be dedicated to program-based introductory content.
Solutions of system of linear equations, iterative methods, interpolation, cubic splines, numerical differentiation, numerical integration, numerical solution of nonlinear equations, initial value problems, numerical solution of ordinary differential equations, finite difference method, engineering application problems.
The design, analysis and business-plan development of a project by teams of students by using engineering techniques; preparation of project reports and presentation by using state-of-the-art tools and methods.
Students in teams can specify, analyze and handle business plan of a project using engineering fundamentals. They can realize and implement the project using emerging tools. They can report and present all the details of their final product.
Introduction of scientific method, different life forms, ecology, properties of living organisms. The course will also describe cell theory, and major molecular components of cells: DNA, RNA and proteins.
This course provides a general information of the events from the end of the 19. century until the end of the Turkish War of Independence and the signing of the Treaty of Lausanne in 1923 and the following period until 1990’s.
The course will help students recognize the skills needed for university life and their career goals. These skills include self-awareness, goal setting, time management, effective communication, mindfulness and analytical thinking. The course will also raise students’ awareness on problems such as addiction and bullying.
Calculus I provides important tools in understanding functions of one variable and has led to the development of new areas of mathematics.
In this course, integration techniques and application of integration, Taylor and Maclaurin series and their applications, functions of several variables, their derivatives, integrals and applications are examined.
This course focuses on sampling distributions, statistical estimation, hypothesis testing, simple and multiple linear regression. In addition, experimental design and applications of these methods to industrial systems engineering are discussed.
In this course some important theorems about probability are investigated. In addition, applications of random variables and their probability distributions are discussed.
The main subjects of the course are the vector and matrix operations, linear independence and dependence of vectors, linear vector spaces and subspaces, dimensions and basis vectors for vector spaces, linear transformations, determinants, eigenvalue and eigenvectors.
In this course, we will discuss the subjects of motion along a straight line, motion in two and three dimensions, Newton’s laws, work and kinetic energy, potential energy and conservation of energy, momentum, collisions, dynamics of rotations, gravitation and periodic motion.
In this course, we will cover the topics of electric field and charge, Gauss’s law, electric potential, capacitance and dielectrics, current, resistance and electromotive force, direct-current circuits, magnetic field and magnetic field sources and induction.
This course introduces the students to the fundamental concepts of programming using Java programming language.
This course covers the fundamental concepts of object-oriented programming using Java programming language.
The course provides the fundamental concepts of software engineering discipline and gives concepts of abstraction, problem solving and systematic view.
The following topics will be included in the course: software project model, project tools, people management, resource organization, project scheduling methods, estimation of project requirements
This course covers the principals behind the software design patterns and their application in constructing software components.
In this course, students learn the theoretical and practical aspects of specification and design stages of software engineering. More, this course enables students to realize software specification and design phases of sample projects with real clients.
It is generally accepted that creating prefect software is impossible. Therefore, testing software prior to its release is necessary for reducing the risk of mistakes in software production and eliminating possible negative impacts of mistakes on the users. It is equally necessary to ensure that testing is performed well. This course specifies definitions and concepts, test processes, test documentation, test techniques in software engineering.
The following topics will be included in the course: lexical and syntax analysis, names, bindings, type checking, scopes, data types, expressions, assignment statements, subprograms, implementing subprograms, abstract data types and encapsulation constructs, support for object-oriented programming, exception handling, event handling.
To acquaint students with basic knowledge to develop systems programs that involves multi-threading and computer networks. It provides an introduction to multi-threading, socket programming and information security.
Internship, covers field experience at any work place. Students should follow the instructions stated in IUE Internship Guide in order to successfully complete their internships.
Students will be taught how to use the written and verbal communication tools accurately and efficiently in this course. Various types of verbal and written statements will be examined through a critical point of view by doing exercises on understanding, telling, reading, and writing. Punctuation and spelling rules, which are basis of written statement, will be taught and accurate usage of these rules for efficient and strong expression will be provided. As for verbal statement, students will be taught how to use the body language, use accent and intonation elaborately, and use presentation techniques.
A study of technical security policies, models, and mechanisms for confidentiality, integrity, and availability with respect to operating systems from an engineering point of view.
This course discusses the fundamental theories of computer science including regular expressions and context free languages, finite and pushdown automata, Turing machines, computability, undecidability, and complexity of problems.
Learning and adoption, Bayesian decision theory, discriminant functions, parametric techniques, maximum likelihood estimation, Bayesian estimation, sufficient statistics, non-parametric techniques, linear discriminants, algorithm independent machine learning, classifiers, unsupervised learning, clustering.
Alongside each layer and protocols of computer networks, the following topics will also be discussed: OSI model of network; MAC protocol; TCP and UDP protocols; error control, detection and correction; IPv4; routing; socket programming; network security.
To introduce literature and terminology used for cryptography and network security; to acquaint students with the major cryptography algorithms, systems, functions, and development techniques applied to network security mechanisms.
This course discusses various aspects of the most important component of a computer, the microprocessors. The topics include the fundamental concepts of microprocessors and the relationship between assembler and basic components of a computer, 80x86 family architecture, 80x86 based assembly language programming, computer organization and architecture of the PC.
This is an undergraduate course in Computer Science on UNIX/Linux operating system. Although the course provides a broad view of the operating system, it mostly focuses on Bash programming and system administration. Students will get a handson approach on using and programming the operating system commands and scripts and will become very familiar with the UNIX environment. This course requires an understanding of modern operating systems and a working knowledge of programming basics. Students will be asked to work on a substantial Bash programming project and will need to develop good technical writing skills and programming skills.
This course will cover basic topics in Transmission Fundamentals; Communication Networks; Wireless Channel; Signal Encoding Techniques; OFDM and Spread Spectrum; Coding and Error Control; Wireless LANs; Bluetooth and PAN; Cellular Networks -4G and LTE; Mobile IP; Satellite Communications.
Distributed database design, distributed transaction management and concurrency control, data replication, distributed query processing and optimization.
Well-known computational geometry problems, their algorithmic solutions and computational geometry problem solving techniques.
Greedy algorithms, divideandconquer type of algorithms, dynamic programming and approximation algorithms.
The following topics will be included: sampling and information theory, digital filters and discrete Fourier transform, basics of vector and matrix manipulations, basics of numerical optimization, principles of statistical learning theory.
The course covers basics of Algorithms Analysis, graph theoretic concepts, greedy algorithms, divide and conquer algorithms, dynamic programming, and approximation algorithms.
Computer Hardware Components, Microprogramming, Instruction Sets, Assembly Language Instructions, Parallel Architectures.
The course covers bioinformatics tools/software related to biological sequence (DNA, RNA, protein) analysis, molecular structure prediction, functional genomics, pharmacogenomics and proteomics, biological pathway analysis.
Introduction to cloud computing, cloud architecture and service models, benefits of cloud computing, distributed storage, security and cloud services and software
To acquaint students with the major types, structures, functionality, and deployement of distributed systems, and to introduce students to the literature and terminology used for distributed systems and parallel computing.
The following topics will be included: feed-forward neural networks, back-propagation, convolutional neural networks, recurrent neural networks, recursive neural networks, regularization, optimization.
The following topics will be included: image formation, image processing, feature detection and matching, segmentation, feature-based alignment, structure from motion, dense motion estimation, image stitching, computational photography, stereo correspondence, 3D reconstructions, image-based rendering, and recognition.
The following topics will be included in the course: The main neural network architectures and learning algorithms, perceptrons and the LMS algorithm, back propagation learning, radial basis function networks, support vector machines, Kohonen’s self organizing feature maps, Hopfield networks, artificial neural networks for signal processing, pattern recognition and control.
Fundamentals of probabilistic reasoning and linear algebra, linear regression, nonlinear models, cross validation and bootstrapping, model selection, decision trees, and support vector machines.
Introduction to acoustics. Fundamentals of sound, and the signal flow that sound takes through a typical recording system. Sound characteristics such as amplitude and frequency. Sound analysis techniques and visualizing sounds. Recording techniques: essential components used in the music production process. Sound synthesis and computer music: digital signal processing and sound generation techniques. Sound editing techniques: components of sound editing. Stages of sound to microphone, from microphone to computer, and then back to speakers. Analog to digital converters (ADC) and digital to analog converters (DAC). Mixing board and mixing process.
The following topics will be included: getting and cleaning data, exploring data, statistical models of data, statistical inference, main machine learning methods in data science including linear regression, SVM, k-nearest neighbors, Naïve Bayes, logistic regression, decision trees, random forests, clustering, and dimensionality reduction, over-fitting, cross-validation, feature engineering.
The following topics are included: Digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Image coding and compression.
The course will cover many subjects including binary logic, combinatorial and sequential circuit design, state machine design techniques, instruction set architectures, and finally basic processor design.
This course emphasizes the detailed discussion of real life simulation applications in manufacturing and service systems so that the students will gain the ability to use simulation technique in business life.
This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, inprocess inventory, and meeting production commitments; Realtime control of scheduling; Effects of machine failure, setups, and other disruptions on system performance.
This course covers topics related with IE372 and ISE 380
Students will learn to make decisions by taking into account such features as interest rates, and rates of return. They will learn about the concept of arbitrage, and when consideration of such is sufficient to price different investments. Applications to call and put options will be given. Students will learn when arbitrage arguments are not sufficient to evaluate investment opportunities. They will learn to make use of utility theory and mathematical optimization models to determine optimal decisions. Dynamic programming will be introduced and used to solve sequential optimization problems. The use of simulation in financial engineering will be explored.
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Teaching the basic principles of user interfaces. Introduce students to usability models and principles. Get students to carry out user and task analyses. Teach design, prototype development and evaluation through having students complete term projects. Discuss the effects of interface properties such as color and typography. Teach new user interface techniques.
Learning data modelling techniques with traditional Entity Relationship Model as well as UML’s Use Case and Class diagrams. Data definition and creating database objects by using SQL language. Developing database solutions in response to a set of user requirements by using Oracle DBMS tool. To use ‘stored procedures’ and ‘ triggers’ in SQL programs in a problem solving approach.
This course introduces the students to the fundamental concepts of object oriented programming using the C# programming language.
This course covers the principals behind the templates and generic programming, and introduces students to the state of the art generic libraries.
In this course, students learn about theoretical aspects of computer graphics and use this information in the applications that they develop.
In this course, students learn about the process of video game development and use this information to develop their own computer games.
In this course, students learn about the advanced topics in the process of video game development and use this information to develop their own computer games.
It is generally accepted that it is not possible to create perfect software. It is therefore necessary to test software before it is released to the users to reduce the risk of mistakes in software production having a negative impact when the software is used. It is equally necessary to ensure that testing is performed well. This course specifies definitions and concepts, test processes, test documentation, test techniques in software engineering.
In this course, students learn about the process of game development and use this information to develop their own games.
In this course, students learn the theoretical aspects of networking in computer games and practically implement these algorithms in their own multiplayer computer games.
In this course, students learn the theoretical aspects of the commonly used artificial intelligence algorithms in computer games and practically implement these algorithms in their own computer games
In this course, students learn fundamental game design and development principles and methods for mobile platforms. Also students will gain practical knowledge by developing a mobile game as a course project.
This course introduces the students advanced topics in Java programming language.
This course introduces the students to the fundamental concepts of web programming using HTML, CSS, JavaScript, jQuery and JSON.
An exploration of current and emergent technologies which are used to provide services (machine to machine communications) over N-tiered and distributed networks. Also covered are transaction processing, service and security policies, business protocols, and the web services development cycle.
Mobile devices, mobile applications and their requirements, developing mobile applications, using web services and databases in mobile applications.
This course investigates how mobile applications and content not only differ from their desktop brethern, but also how mobile computing is changing web design and programming in general. The major points of emphasis are mobile browsers and hardware, emergent coding practices and design considerations, the incorporation of geolocation in programming considerations, the creation of mobile widgets and applications, and the deployment of a site that delivers mobile content.
This course introduces the students to the fundamental concepts of .NET framework application development using C# programming language. The course covers the major topics for .NET application programming over the .NET Framework. Via understanding these topics it will be very easy for the students to develop and deploy enterprise level applications via .NET framework.
This course provides an introduction to Artificial Intelligence (AI). In this course we will study a number of theories, mathematical formalisms, and algorithms, that capture some of the core elements of computational intelligence. We will cover some of the following topics: search, logical representations and reasoning, automated planning, representing and reasoning with uncertainty, decision making under uncertainty, and learning.
In this course, students learn 3D modeling techniques for computer games
In this course, students learn 3D animation techniques for computer games.
This course addresses software measures. Software measurement is playing an increasingly important role in software engineering since this discipline is becoming an engineering discipline. It is necessary then to address techniques of measurement in the context of the engineering disciplines.
The objective of this course is to provide the fundamental concepts of software maintenance, its framework and processes, and to provide insight into abstraction, problem solving and systematic view.
This course introduces the students to the fundamental concepts of web programming using HTML, CSS, JavaScript, jQuery and JSON.
The purpose of this course is to inform the how e-business will be implemented under different conditions and environments.
