(Between the 2013-2019 Academic Years) Courses



CE 215 Discrete Mathematics for Computer Science

Topics include Boolean algebras, logic, set theory, relations and functions, graph theory, counting, combinatorics, and basic probability theory.


CE 221 Data Structures and Algorithms I

Algorithm analysis, linear data structures, trees, hashing, priority queues, sorting, and graph algorithms.


CE 223 Database Systems

Topics related to both database design and database programming are covered.


CE 308 Computing Theory

The following topics will be included: regular expressions and contextfree languages, finite and pushdown automata, Turing machines, computability, undecidability, and complexity of problems.


CHEM 100 General Chemistry

The contents of this course is: matter and measurement (precision and accuracy), atoms, molecules, ions, and their properties, stochiometry and chemical calculations, chemical reactions in aqueous solutions, thermochemistry, atomic structure, electron configurations, atomic properties and the periodic table.


ENG 101 Academic Skills in English I

This course aims at preparing students to use academic skills in English.


ENG 102 Academic Skills in English II

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.


ENG 310 Essential Speaking Skills in English

ENG 310 is a compulsory course for third year students and is designed to enable them to speak more effectively while expressing themselves in a variety of areas, such as business related and academic related topics. These areas range from participating in discusiions to presenting information in the form of short presentations, known as Pecha Kuchas. Students will also take part in role plays and formal debates.


ENG 410 English for Career Development

This course is designed to equip students with the necessary skills and knowledge that they will need when they start their professional lives. The course simulates all stages of the job application process, including topics like finding job openings, CVs, job application forms, cover letters, job interviews, and following up, as well as handling job offers and rejection.


FENG 497 Multidisciplinary Engineering Projects

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.


FENG 498 Engineering Capstone

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.


HIST 100 Principles of Atatürk and History of Revolution

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.


MATH 153 Calculus I

Calculus I provides important tools in understanding functions of one variable and has led to the development of new areas of mathematics.


MATH 154 Calculus II

Calculus II provides important tools in understanding functions of several variables and has led to the development of new areas of mathematics.


MATH 240 Probability for Engineers

Topics of this course include the axioms of probability, Bayes' theorem, random variables and sums of random variables, law of large numbers, the central limit theorem and its applications.


MATH 250 Linear Algebra for Engineers

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, solution methods for first order and second order ordinary differential equations and their engineering applications, eigenvalues eigenvectors analysis and diagonalization


PHYS 100 General Physics I

Through lectures and labs we aim to introduces the following classical mechanics and thermodynamics topic: space and time; straight line kinematics; motion in a plane; forces and static equilibrium; particle dynamics with force and conservation of momentum; relative inertial frames and noninertial force; work, potential energy and conservation of energy; rigid bodies and rotational dynamics; vibrational motion; conservation of angular momentum; central force motions


SE 105 Introduction to Software Engineering

The course provides the fundamental concepts of software engineering discipline and gives concepts of abstraction, problem solving and systematic view.


SE 115 Introduction to Programming I

This course introduces the students to the fundamental concepts of programming using Java programming language.


SE 116 Introduction to Programming II

This course covers the fundamental concepts of object-oriented programming using Java programming language.


SE 216 Software Project Management

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


SE 305 Software Specification and Design

In this course, students learn the theoretical and practical aspects of specification and design stages of SE. More, this course enables students to realize software specification and design phases of sample projects with real clients.


SE 309 Concepts of Programming Languages

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.


SE 311 Software Architecture

This course covers the principals behind the software design patterns and their application in constructing software components.


SE 318 Software Verification and Validation

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 in order 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.


SE 375 System Programming

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.


SFL 1013 Second Foreign Languages I

Please Select a Language


SFL 1024 Second Foreign Languages II

Please Select a Language


SFL 201 Second Foreign Languages III

Please Select a Language


SFL 202 Second Foreign Languages IV

Please Select a Language


ST 304 Summer Training (4 weeks)

Internship, covers field experience at any work place for 3 weeks. Students should follow the instructions stated in IUE Internship Guide in order to successfully complete their internships.


TURK 100 Turkish

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.


CE 301 Logic Design

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.


CE 302 Microprocessors

The following topics will be included: 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.


CE 303 Operating Systems

Operating System Structures, Process Management, Memory Management, File Systems, Discs, I/O Systems


CE 304 Operating Systems Security

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.


CE 306 Computer Networks and Communication

To acquaint students with major communication protocols, their features, details, and functionality and to introduce students to the literature and terminology,


CE 322 Pattern Recognition

The following topics will be included: 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.


CE 340 Cryptography and Network Security

To acquaint students with the major cryptography algorithms, systems, functions, and development techniques applied to network security mechanisms, and to introduce literature and terminology used for cryptography and network security.


CE 344 Advanced Machine Learning

The following topics will be included: training data collection, learning in order to extract statistical structure from data, over-fitting, parametric models and parameter selection, validation, regression, classification, nonparametric models, clustering.


CE 350 Linux Utilities and Shell Scripting

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.


CE 360 Wireless Communications

This course will cover basic topics in wireless communications for voice, data, and multimedia. It starts with a brief overview of current wireless systems and standards. We then characterize the wireless channel, including path loss for different environments, random lognormal shadowing due to signal attenuation, and the flat and frequencyselective properties of multipath fading. Next we examine the fundamental capacity limits of wireless channels and the characteristics of the capacityachieving transmission strategies. The course concludes with a brief overview of wireless networks, including multiple and random access techniques, WLANs, cellular system design, adhoc network design and applications for these systems, including the evolution of cell phones.


CE 370 Distributed Database Systems

In this course, topics ranging from distributed database design, distributed transaction management and enhanced concurrency control to data replication and distributed query processing and optimization will be discussed.


CE 380 Computational Geometry

Wellknown computational geometry problems, their algorithmic solutions and computational geometry problem solving techniques.


CE 390 Analysis of Algorithms

Greedy algorithms, divideandconquer type of algorithms, dynamic programming and approximation algorithms.


CE 395 Special Topics in Machine Learning

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.


CE 401 Algorithms Design

The course covers basics of Algorithms Analysis, graph theoretic concepts, greedy algorithms, divide and conquer algorithms, dynamic programming, and approximation algorithms.


CE 403 Computer Architecture and Organization

Computer Hardware Components, Microprogramming, Instruction Sets, Assembly Language Instructions, Parallel architectures


CE 407 Introduction to Cloud Computing

Introduction to cloud computing, cloud architecture and service models, benefits of cloud computing, distributed storage, security and cloud services and software


CE 450 Distributed Systems and Parallel Computing

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.


CE 455 Deep Neural Networks

The following topics will be included: feed-forward neural networks, back-propagation, convolutional neural networks, recurrent neural networks, recursive neural networks, regularization, optimization.


CE 466 Computer Vision

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.


CE 470 Introduction to Neural Networks

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.


CE 475 Fundamentals and Applications of Machine Learning

Fundamentals of probabilistic reasoning and linear algebra, linear regression, nonlinear models, cross validation and bootstrapping, model selection, decision trees, and support vector machines.


CE 476 Music and Computers

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.


CE 477 Data Science

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.


CE 490 Introduction to Digital Image Processing

The following topics will be included: Digital images as twodimensional signals; twodimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Wavelets and Multiresolution processing; Image coding and compression.


IE 333 Manufacturing Automation

Production systems and automation, Manufacturing systems – Classification of industries and basic concepts, Basic chip removal processes, Automation and its basic hardware, Numerical Control technology and types of NC concept, Principles of NC programming, Robot anatomy and applications, PLC’s.


IE 337 Industrial Applications of Simulations

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.


IE 338 Stochastic Models in Manufacturing Systems

This course covers 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.


IE 339 Queueing Systems

The purpose of this course is to introduce students to a general framework for modeling queueing systems and to the basic methodologies used for their analysis. Since queueing phenomenon is in general due to randomness, the course requires extensive use of probability theory. The course will encompass the stochastic processes necessary for analyzing queueing systems. At the end the course, the students are supposed to be acquainted with the available analytical models for queueing systems and to be able to use them for performance analysis of service and production systems.


IE 340 Occupational Health and Safety

This course introduces the students to the fundamental concepts and principles of Occupational health and safety.


IE 345 Innovation in Technology

Provide information on innovation and technology, innovation process, analyzing successful innovations, types of innovation, product development, translation of innovation and effective presentation


IE 353 Optimization III

The main subjects of the course are the stochastic processes and their special kind called Markov chains, queueing theory, inventory theory and also possible real life applications.


IE 360 Network Science and Applications

Network Science definitions, metrics, real life examples, Gephi


IE 371 Engineering Systems Analysis

The general title of “Engineering Systems Analysis” comprises two main features. The first is the concept of process. An engineer is primarily concerned with design of a system. The system is a production process. The fundamental aim is to model, design, operate and control the process. The second feature is a consequence of the first. The process is a living whole. It changes with respect to time. So it is a dynamic process.


IE 372 Project Management

This course covers topics related with IE372 and ISE 380


IE 373 Software Applications in Industry

This course includes information about the development of ERP and its modules, and applications in some of these modules. In addition, it covers the concept of "e-" and its application in different fields.


IE 374 Applied Production Systems

ERP Lab applications, production modules will be covered. During the semester the groups will prepare 2 presentations and 2 progress reports. These reports will explain in detail about the software applications in Industry.


IE 375 Financial Engineering

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.


MATH 485 Exploratory Data Analysis

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SE 204 Human-Computer Interaction

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.


SE 306 Database Management Systems

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.


SE 307 Concepts of Object-Oriented Programming

This course introduces the students to the fundamental concepts of object oriented programming using the C# programming language.


SE 310 Advanced C++: Templates and Generic Programming

This course covers the principals behind the templates and generic programming, and introduces students to the state of the art generic libraries.


SE 313 Computer Graphics

In this course, students learn about theoretical aspects of computer graphics and use this information in the applications that they develop.


SE 320 Introduction to Computer Games

In this course, students learn about the process of video game development and use this information to develop their own computer games.


SE 330 Advanced Game Development

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.


SE 344 Software Testing

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.


SE 350 Game Design

In this course, students learn about the process of game development and use this information to develop their own games.


SE 352 Network Programming in Computer 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.


SE 354 Artificial Intelligence in 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


SE 355 Mobile Game Development

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.


SE 360 Advances in Software Development

This course introduces the students advanced topics in Java programming language.


SE 362 Server-Side Scripting Languages

An indepth study of the use of PHP as both a procedural and objectoriented langauge to display dynamic data. Topics covered include using PHP to display dynamic content, news, blogs, wikis, RSS syndicate feeds, and newsletters, personal web server installation and configuration, and the use of design patterns in PHP code. This course also introduces ASP.NET and compares and contrasts PHP to ASP.


SE 366 Numerical Analysis

Floating point arithmetic, computational linear algebra, iterative solution to nonlinear equations, interpolation, numerical solution of ODEs, computer subroutine packages


SE 370 Programming Web Services

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.


SE 380 Mobile Application Development

Mobile devices, mobile applications and their requirements, developing mobile applications, using web services and databases in mobile applications


SE 390 Software Engineering for Mobile Devices

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.


SE 420 Artificial Intelligence and Expert Systems

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.


SE 431 3D Modeling in Computer Games

In this course, students learn 3D modeling techniques for computer games


SE 432 3D Animation in Computer Games

In this course, students learn 3D animation techniques for computer games.


SE 460 Software Measurement

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.


SE 470 Software Maintenance

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.


SE 480 Client Side Scripting Languages

The course covers the background information on browser technologies, writing scripts using JavaScript. A heavy emphasis is placed on good coding practices and usability concerns for end users. Client-side JavaScript applications constitute the main subject of the course.


SE 482 E-Business: Administration, Security and Marketing

The purpose of this course is to inform the learners of the issues and considerations that are involved with ebusiness and ecommerce and the overall management of an ebusiness site.