Department of Computer Engineering (Turkish)

Course Details

MAT 101 Engineering Mathematics I

Functions, limits, continuity, differentiation and applications, integration, fundamental theorem of calculus, techniques and applications of integration, improper integrals and series, Taylor polynomials, power series, basic transcendental functions.

 

FZK 101 Engineering Physics I

Vectors, translational kinematics and dynamics work and energy, system of particles, rotational kinematics and dynamics, equilibrium, gravitation oscillations, waves, fluid mechanics, statistical mechanics, heat and thermodynamics.

 

BIL 101 Introduction to Computer Engineering

Introduction to fundamentals of Computer systems, including Computer organization, operating systems, language processors and user interfaces. Introduction to algorithms and programming. Reasoning informally about the correctness and efficiency of programs. A functional programming language will be used for practical work. 

 

BIL 103 Computer Programming I (C-Programming)

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. Typed functions, conditional expressions, and repetition (recursion) are introduced alongside as the basic methods to operate on this structured data.

 

ING 101 Academic English I

This course is  an  integrated-skills based course in the four language skills (reading, writing, listening and speaking) along with the  grammar and vocabulary knowledge. With its engaging content and systematic skills work, students will be able to express their ideas and develop their communicative abilities. It also includes a strong focus on study skills encouraging independent learning.

 

UHG 151 Welcome to University

It is a program that aims to adapt to the new environment of the university in a pleasant way, consisting of various activities that will be offered in addition to academic studies, in order for our students to adapt to university life. These activities will support students as an active individual with programs that can help students to achieve their goals and contribute to their personal development. The program, which is focused on socio-cultural activities, aims to create an awareness about intellectual curiosity, cultural sensitivity and taking responsibility, by giving you a weekly break, and to improve students’ vision as well as to educate them as a beneficial individual to the society and the world.

 

ISG 101 Health and Safety at Work

 

 

GRS 121 Innovation Project I

To become entrepreneurs and project makers, our students receive information such as establishment and management of business, business accounting, business start-up and incentives, R & D and design center activities, project supports. By collaborating with students who choose similar projects from other programs, they start their experience of forming a team and doing business together.

 

MAT 102 Engineering Mathematics II

Vector calculus, functions of several variables, directional derivatives, gradient, Lagrange multipliers, multiple integrals and applications, change of variables, coordinate systems, line integrals, Green's theorem and its applications.

 

FIZ 102 Engineering Physics II

Charge and matter, the electric field, Gauss law, electrostatic potential, capacitance, current and resistance, electromotive force and circuits, the magnetic field, Ampére's law, Faraday's law, inductance, magnetic properties of matter.

 

BIL 122 Computer Programming II (C-Programming)

Programming methodology: specification, design, coding, program correctness. Review of data types: scalar types, structured types. Data Structures: linear structures (stacks, queues, linear lists), nonlinear structures (trees, sets), files (sequential, random access). Implementation of data structures: linked list implementation, multidimensional array implementation, record implementation, character string, stack, queue, tree and set implementations. Recursion.

 

ING 102 Academic English II

This course is  an  integrated-skills based course in the four language skills (reading, writing, listening and speaking) along with the  grammar and vocabulary knowledge. With its engaging content and systematic skills work, students will be able to express their ideas and develop their communicative abilities. It also includes a strong focus on study skills encouraging independent learning.

 

GLC 152 Planning the Future

This course, which is the continuation of the Introduction to University Life Course, aims to raise the competence of the student in subjects such as career planning, interview processes, image and communication and to train highly qualified people. In addition, the course aims to provide students with the knowledge of science, technique, industry, creative thinking, developments in R & D, rational and critical thinking, reasoning ability, generating rational solutions and evaluating future business opportunities through various seminars. This course contributes to the development of the basic sciences in our country, giving students the opportunity to make applied research, renewing the existing knowledge and ideas, enriching and educating the elements needed by the profession branches.

 

IYD 124 Work Experience I

 

 

GRS 122 Innovation Project II

 

 

MAT 201 Linear Algebra

Matrices, determinants. Systems of linear equations. Vector spaces. Base and dimension concept. Linear transformations. Change base. Inverse of a linear transformation. Construction transformations. Characteristic equations, eigenvalues, eigenvectors and Jordan form. Numerical techniques for calculating eigenvalues and eigenvectors. Inner-product spaces, orthogonality, quadratic forms. Normed spaces

 

EEM 201 Electrical Circuits I

Basic components and principles of electrical circuits: circuit elements variables and measuring devices. Kirchoff's laws, loop and nodal analysis. Network response to dc, exponential and sinusoidal excitation: switching networks, impedances, network functions, Fourier series, phasor methods, real and reactive power, powerfactor. Transformers and 3-Phase systems.

 

BIL203 Discrete Computational Structures

The focus of this course is on mathematical principles central to computer science including sets, logic, and proofs. Students will learn how to apply the concepts of discrete mathematics to computer science problems. Introduces computational implementations of the mathematical structures most frequently used in computing including sets, equivalence relations, functions, graphs, trees and standard logic.

 

BIL 205 Data Structures and Algorithms

Basic data types and data structures: Stacks, queues, linked lists, trees and graphs. Search and sort algorithms. Storage allocation, garbage collection and compaction. Logical and physical organization of files. File processing and management.

 

TUR 101 Turkish I

Definition of the language, social value of language; Characteristics of written and oral expression; Sentence knowledge; Speech disorders; written and oral expression; Effective reading and text analysis will be included during this course.

 

ATA 101 Principles of Atatürk I

This course will cover the topics of; The concept of revolution, the factors leading to Turkish revolution and the reasons of the collapse of the Ottoman Empire, Ottoman Empire in the rescue efforts, flows of ideas, World War I, Mustafa Kemal Anatolian transition and congresses, Turkey opening of the Grand National Assembly, the liberation war, foreign policy, Mudanya cease-fire, the Lausanne conference.

 

IYD 225 Work Experience II

 

 

MAT 202 Differential Equations

Classification of differential equations. Methods of solving first order differential equations. Methods of solving higher order linear differential equations: Equations with constant coefficients, method of indefinite coefficients, change of parameters, solution with power series. Laplace transform and convolution. Differential Equation Systems. Multivariable differential equations.

 

MAT 204 Probability and Statistic

Introduction to probability theory. Random variables, expectation, variance and moment generating functions. Distributions: Bernoulli, binomial, uniform, Gaussian, exponential, Poisson, gamma. Introduction to statistical concepts. Sampling and sample statistics. Point and interval estimation. Hypothesis testing. Regression. Numerical and computational aspects of random variable generation, sampling, and estimation.

 

BIL202 Fundamentals of Electronic Engineering

Conduction mechanism in metals and semi-conductors. Doping in semi-conductors; p-n junction. Diode characteristics and applications. Power supplies. Bipolar junction transistor operation. Transistor characteristics, transistor biasing. JFET operation and biasing. MOSFET operation and biasing. Introduction to digital electronics. Logic families: RTL, DTL, TTL, ECL, NMOS and CMOS. MSI logic: Multiplexers, Decoders, etc. Memory circuits: ROM's and RAM's.

 

BIL204 Systems Programming

Overview of compilers, interpreters, assemblers, linkers and loaders. Unix environment and system calls. Shell programming. Signals and exceptions. Localization and Unicode. PERL and CGI programming. Assembly language programming. Introduction to multithreading. Introductory Graphical User Interface (GUI) programming.

 

TUR 102 Turkish II

This course will cover the topics of; Turkish suffixes; Turkish suffixes; Word types. Sentence knowledge; Reading and examining selected texts.

 

ATA 102 Principles of Atatürk II

This course will cover the topics of; The proclamation of the Republic and political, social and cultural reforms. Problems that Lausanne Peace Treaty could not be solved and their conclusions movements against the new order. Multiparty life experiments and results. Turkish Foreign Policy in the period of Atatürk. İnönü Period and the Second World War years, Turkey's transition to multi-party life during and after the Democratic Party.

 

IYD324 Work Experience III

 

 

MAT 301 Numerical Analysis Method

Data structures, structured programming. Numerical solution of multidimensional optimization problems, convergence properties, gradient and Newton methods. Solution of linear, nonlinear equations, and differential equations, numerical integration.

 

BIL301 Analysis of Algorithms

Analysis of computer science algorithms: Sorting, searching, paging and parallelism. Analysis of mathematical algorithms: games and puzzles, network algorithms, and probabilistic algorithms.

 

BIL303 Operating Systems

Evolution of operating systems. Multiprogramming and time sharing concepts. User and program interfaces. Concurrent processes, CPU scheduling, process synchronization, critical section problem. Deadlock prevention, avoidance, detection and recovery. Memory management, swapping, multiple partitions. Paging, segmentation, virtual memory, page replacement algorithms. File system structures, allocation methods, directory implementation. I/O interfaces, secondary storage structure. Protection and Security: Access matrix and rights, capabilities, security issues. LINUX case studies.

 

BIL 305 COMPUTER ORGANIZATION

Register transfer level design. Basic computer layout. Instruction sets and their implementation. Addressing techniques. ALU, hardwired and microprogrammed controllers. Memory unit. I/0 structures and interrupt handling. Improvements on von Neumann machine. Bus structures.

 

BIL 307 Management Information systems

 

 

IYU 325 Practice at the workshop I

 

 

BIL 302 Introduction to Database Systems

Logical organization of data: Entity-relationship modeling of data. Hierarchical, network and relational models. Data description and query languages. Normal forms and database design. Physical design and access strategies. Security, integrity and reliability. Design and implementation of a simple database management system that includes file security and a simple query language.

 

BIL306 Fundamentals of Software Engineering

Introductory concepts in software engineering. The software life cycle and the phases in software development: feasibility study, analysis, specification, design, implementation and testing, documentation and maintenance. Tools, techniques, environments and methodologies. Management issues: planning, organization and control. Professional ethics.

 

BIL308 Signal Processing for Computer Engineers

Introduction to discrete and continuous time signals and systems with computer engineering applications. Time-domain signal representations, impulse response of linear time-invariant systems; convolution. Fourier series. Spectrum representation of signals. Fourier transform. Digital signals and sampling. Reconstruction, Filtering, Z-transform representation, discrete Fourier transform. Algorithms for signal processing. Floating point and quantization errors. Exercises with applications in audio and image processing.

 

BIL 304 Computer Networks

Network layers and architectures, reference models. Physical layer and data communications issues. Metallic, fiber optic and wireless transmission media. Telephone system, switching, ISDN, ATM, SDH, DSL, cellular systems and satellites. Data link layer issues, elementary and sliding window protocols. Multiple access protocols, local area networks, Ethernet, bridges and switches. Network layer issues, routing algorithms, congestion control, Internet Protocol, routing protocols. ATM network layer.

 

IYU 326 Practice at the Workshop II

 

 

 

BIL 401 Machine Learning and Artificial Intelligence

Overview of artificial learning systems. Supervised and unsupervised learning. Statistical models. Decision trees. Clustering. Feature extraction. Artificial neural networks. Reinforcement learning. Applications to pattern recognition Overview of artificial learning systems. Supervised and unsupervised learning. Statistical models. Decision trees. Clustering. Feature extraction. Artificial neural networks. Reinforcement learning. Applications to pattern recognition and data mining. Artificial intelligence.

 

BIL403 Application Development for Mobile Systems

This course introduces students to mobile systems, mobile operating systems and application development environments, mobile networks and communication infrastructures (GSM, CDMA, 3G / WCDMA / UMTS), short distance communication technologies (Bluetooth, WiFi), application development techniques for mobile systems ( Android-Java, iOS-Swift), mobile application publishing and deployment.

 

IYU 425 Practice at the Workshop III

 

 

BIL 412 Graduation Project

 

 

IYE 400 Workshop Training

 

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