General concepts about the course, collapse of the Ottoman Empire, leading to National Struggle, congresses, Sevres Treaty, wars, opening of Turkish Great National Assembly, Mudanya Armistice, Lausanne Treaty discussions.

Abolishment of sultanate and declaration of Republic, strategy and importance of Turkish Revolution, financial, social, legal, educational and cultural renovation, experiments for multi- party system, Turkish foreign policy during Atatürk?s term, basic principles of Atatürkism.

Introduction to computer systems, hardware, software. Numerical data and base conversion. Introduction to basic network services. Algorithms and problem solving. Debugging approaches. C/C++ variables, data types and expressions, simple input / output commands. Arithmethic and logical operators. Branching control structures. Arrays. Loop structures. Functions. Structuresand union. Linked lists.

Functions in algorithms, reference variables as parameters, value and reference variables and memory usage, static and automatic variables. Multi-dimentional arrays, strings, vectors, dynamic arrays. File I/O. C pointer concept, pointer arithmetic. Recursion. Inheritence. OOP applications.

Computers and hardware, Algorithmic approach and the flexibility of C language features, Data structures and models, Algorithmic program design and flow charts, the program speed and memory requirement, Sorting algorithms, search algorithms, lists, linked lists, linked lists and applications, Stacks, Queues, the tree data model and its applications, Graf concept and data model, graph algorithms, data compression methods.

This is an introductory course on the internal operations and fundamental principles of modern operating systems. Specifically, this course will cover core concepts such as processes and threads, deadlocks, memory management, and file systems.

The objective of this course is to teach students the basic principles of computer networking, the protocols and applications used for two or more devices to communicate with each other. Students use Wireshark to observe the working of these protocols and applications during the lab exercises.

Mathematics foundation, problem solving strategies, proof techniques, complexity analysis, upper and lower bounds, sorting and searching, graph algorithms, divided-and-conquer, dynamic programming, greedy method, geometric algorithms, probabilistic algorithms.

History and philosophical foundations of AI, intelligent agents, problem solving by searching, informed search methods, propositional and predicate logic, building a knowledge base, planning, uncertainty and learning.

Programming domains. Language evaluation criteria. Language categories. Programming environments. Minimal hardware programming: pseudocode. Functional programming: LISP. The first step toward sophistication: ALGOL 60. Programming based on Logic: Prolog. Historys largest design effort: Ada. Object-oriented programming: Smalltalk. Combining imperative and object-oriented features: C++. An imperative-based object oriented language: Java. Scripting languages: Javascript, PHP, and Python. Describing syntax and semantics. Lexical and syntax analysis. Names, binding, type checking and scopes. Data types. Expressions, assignment ,statements and subprograms. Abstract data types and encapsulation constructs. Functional programming languages. Logic programming languages.

This course aims to improve students' expository reading and writing skills. Structural elements of a text, collocations, connectors, sentence heads and phrases for more effective expression are among the subjects to be studied. Texts that are related to the field are selected to be used as course material to motivate and involve students. This course also introduces students with basic terminology in their fields.

This course aims to improve students? analytical reading and writing skills. Texts that are related to the field of computer engineering and software engineering are selected to be used as course material to motivate and involve students. Students read and analyze texts and produce their own texts that involve their responses to the input they receive. This course also introduces students with basic terminology in their fields.

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OHS regulations; hazards in workplace environment and preventation form thesedangers; risk assement; personal protective equipment.

Definition and types of functions, drawing their graphics, limits and continuity, definition of derivative and geometric meaning, differentiation rules, integration, definite and indefinite integrals.

Sequences and infinite series, parametrizations of plane curves, polar coordinates, vectors and the geometry of space, functions of several variables, limits and continuity in higher dimensions, partial derivatives, directional derivatives and gradient vectors, extreme
values and saddle points, Lagrange multipliers, multiple integrals

System of linear equations; matrices and algebraic operations of matrices; methods for solving linear equation systems; Gauss and Gauss-Jordan methods; determinants and properties of determinants; Cramer's
rule; vector spaces and subspaces; basis, dimension and rank; eigenvalues and eigenvectors; diagonalization.

Modeling techniques for engineering problems, introduction to programming and software algorithms, techniques for finding roots of equations, solution of lineer equation systems and matrix algebra, curve fitting, least squares regression, interpolation, techniques for numerival integration, solution techniques of bundary and initial value problems and their engineering applications.

Statistics, data, variable, frequency distributions, graphics, measures of central tendencies, measures of central dispersions, probability: The axioms of probability, random variables, Discrete random variables,
continuous random variables, probability distributions: Discrete probability distributions, continuous probability distributions, statistical decision theory, estimation.

The main goal is understanding of the fundamental discrete mathematics topics, discrete structures and enhancing the analytical problem solving capabilities is the important purpose.

Physics and measurement; physical quantities; motion in one dimension; vectors; motion in two dimensions; Newton's laws of motion; work and kinetic energy; potential energy and conservation of mechanical energy; linear momentum, conservation of linear momentum; collisions; dynamics of a system of particles; rotational dynamics; torque and angular momentum; equilibrium of rigid bodies.

Charge and Matter, Coulomb?s Law, Electric Field, Gauss?s Law, Electrostatic Potential, Capacitance and Dielectrics, Current and Resistance, Electromotive Force and Circuits, The Magnetic Field, Sources of the Magnetic Field, Faraday?s Law, Inductance, Alternating Current Circuits, Electromagnetic Waves and Maxwell?s Equations, Electromagnetic Spectrum.

The scope of software engineering, software life cycle models, software process, teams, tools, testing, from modules to objects, reusability, portability, planning and estimate, requirements, classical analysis.

Basic human-computer interaction, user interface design principles and design methods, characteristics of graphical and web user interfaces, principles of screen design, textual communication, internationalization
and accessibility.

The main topics to be used for system requirements, techniques and practices with documentation in the requirements specification, requirements exploration operations such as prototype production and user interviews, demonstration of the approaches for describing and organizing of software requirements, emphasizing the importance of the requirements work for converting to the software system design, the presentation of the alternative design approaches for developing system testing, specification and design tools, specification appraisal techniques, schematic and graphical approaches, documentation, modeling and design of the software systems using UML.

Introduction to design, design activities and process models, structured design - data flow diagrams, logical and physical design, structured design - process specification, data dictionaries and detailed design, object-oriented design - static system and behavioral model design, architectural design, design styles and patterns, design of user interface layer, design of data access layer, boundary class design.

In this course, students will learn basic principles of object oriented programming using C++ programming language.

This course introduces the core concepts and methodologies of data analysis within the context of software engineering and computer science. Students will learn how to collect, clean, process, and analyze complex datasets using statistical methods and modern computational tools. Key topics include data visualization, exploratory data analysis, probability distributions, hypothesis testing, and an introduction to predictive modeling. Through practical, hands-on projects, participants will develop the skills necessary to extract meaningful insights from raw data and support data-driven decision-making in software applications.

Software engineering approach in relation with software development, analysis and evaluation of large software project in terms of software engineering approach.

The aim of the course is to teach the basic principles of database management systems. Requirements, analysis, design, implementation and maintenance phases which are being the fundamental topics of database engineering. Entity relationship modeling, normalization types, relational algebra are described within the database development approach. Students will learn how to develop a database in an organized step-by-step fashion. If time permits students will develop a database design project.

Advanced T-SQL, Recovery and Concurrency, Missing Information, Security, Optimization, Distributed Databases, Decision Support Systems, Big Data and NoSQL, Document Databases, Graph Databases.

Determining the software and hardware items managed by construction identity, managing the software development projects items by creating a project based configuration management plan for controlling project outcomes, managing of change requests specifying configuration control procedures, carry out a version planning for change requests.

This course provides a comprehensive overview of the fundamental concepts, structure, and mechanisms of modern operating systems. Students will explore core topics such as process management, thread concurrency and synchronization, CPU scheduling, memory management, virtual memory, file systems, and I/O management. Through theoretical study and practical programming assignments, participants will understand how the operating system acts as an intermediary between user applications and computer hardware, managing system resources efficiently, fairly, and securely.

The scope of software engineering, software development life cycle models, software process, software teams, software tools, software testing, objects and modules, requirements, object-oriented analysis. Types of design and object-oriented design, methods of bringing together modules/objects during the implementation process, post-delivery maintenance of the software product, UML diagrams.

Current issues in software engineering will be discussed.

This course focuses on the high-level structure and design principles required to build scalable, maintainable, and robust software systems. Students will explore prominent architectural patterns (such as microservices, client-server, and event-driven architectures), advanced object-oriented design principles (including SOLID), and system modeling techniques. Through practical case studies and project-based assignments, participants will learn how to make critical architectural decisions, evaluate trade-offs between performance and complexity, and document software designs effectively to guide development teams.

This course introduces the fundamental concepts, principles, and practices of securing computer systems, networks, and data. Students will explore core topics such as cryptography, network security protocols, risk management, ethical hacking, and defense mechanisms against various malware and cyber threats. Through theoretical study and practical exercises, participants will learn how to identify vulnerabilities and design, implement, and maintain robust security architectures to protect the confidentiality, integrity, and availability of modern digital environments.

Introduction to software verification and validation, software testing, basics of software security, software testing tools, black-box unit testing, white-box unit testing and control-flow testing, data-flow testing, website testing, usability testing, genetic algorithms, security testing and code inspections, software test metrics.

This course aims to give basic information about software development in mobile device environment and to teach to write a program on Android operating system.

Introduction to the basic principles of programming practice: testing, debugging, portability, performance, design alternatives, and style; application in a variety of programming languages, programming environments, and operating systems; tools used in the software development process for improving program functionality, performance, and robustness.

The purpose of this course is to teach learners electronic business (e-business) and related services they need to utilize in web-based programming. Learners who complete the course successfully will learn converting the static web pages to a dynamic structure. The overall structure of PHP language and its installation, variables, constants, operators, control structures, loops, arrays, file directory operations, cookies, session concept forms, MySQL installation, basic SQL language commands, database connections with PHP, PHP and graphics, PHP and XML, PHP and security.

The purpose of this course is to help the student learn the basic concepts of compiler design such as lexical and syntax analysis, code optimization. Compiler structure, Lexical analysis (including regular expressions and finite automata), Syntax analysis (including context-free grammars, LL parsers, bottom-up parsers, and LR parsers), Syntax-directed translation, Type checking (including type conversions and polymorphism), Run-time environment (including parameter passing, symbol tables, and storage allocation), Code generation (including intermediate code generation), Code optimization.

Introduction to Java, variables, operators, methods, objects and object oriented programming, string operators, exceptions and exception handling, using methods, data structures, files and streams, network programming, using swing GUI objects, using swing controls, GUI programming, JDBC connections, Java Applets.

Unix/Linux environment, Unix file system structure, account management, Unix compilers and interpreters, Unix window management, Unix shells and shell programming, software development in Unix/Linux environment, debugging and make tools, other system administration tools, basic process management.

This course provides an in-depth exploration of software development within the Linux environment, focusing on the direct interface between user applications and the operating system kernel. Students will learn how to write robust, low-level programs using system calls, process management, inter-process communication (IPC), multithreading, memory mapping, and advanced file I/O operations. Through intensive coding assignments primarily in C, participants will gain the practical skills necessary to develop high-performance system utilities, background daemons, and network applications native to POSIX-compliant systems.

Mobile device characteristics, application basics, activities and intents, threads, services, user interface layouts and events, multimedia techniques, hardware interface, networking, data storage methods, location-based services.

Introduction to Python programming, input/output, loops, control structures (if else, while, for looping), user defined functions, array lists, modules, object-oriented programming, database programming with SQLite, network programming.

This course focuses on the practical application and implementation of artificial intelligence algorithms using the Python programming language. Students will explore industry-standard AI and machine learning libraries, such as scikit-learn, TensorFlow, and PyTorch. Through a series of hands-on, project-based assignments, participants will learn the complete lifecycle of AI development?from data preprocessing and feature engineering to model training, evaluation, and deployment?while solving real-world problems in domains like computer vision, natural language processing, and predictive analytics.

Requirements, analysis and design phases of a software system, issues related to project design and presentation, awareness of problems in real life software project, professional quality software solutions, application of software engineering methods.

Implementation and test phases of a software system as a follow up to the project designed in the Capstone Project I, software development hints.

Introduction to software project management, project evaluation and software management, overview of project planning, project planning steps, software project size estimation methods, business planning, risk management, resource allocation, project monitoring and control, administrative contracts, team management, software quality and standards, configuration management.

Introduction to software quality and assurance, software quality features, aims of software quality assurance, software quality issues, quality systems, best practices approach, process concept, software process development and improvement models, software quality management, cost of software quality, software testing and application, configuration management, agile methodologies.

Measurement theory and fundamental concepts; software measurement and fundamental software metrics; software complexity metrics and models; software size metrics and estimation models; software effort metrics and estimation models; software quality metrics: ISO 9126, ISO 15504 and CMMI quality models; using function point metrics to measure software process improvement; availability metrics; measuring and analyzing customer satisfaction; software maintenance metrics.

This course focuses on the design, analysis, and implementation of computing systems where correctness depends not only on the logical results of the computation but also on the precise time those results are produced. Students will explore core topics such as real-time operating systems (RTOS), task scheduling algorithms, concurrency, inter-process communication, and worst-case execution time (WCET) analysis. Through practical projects, participants will learn to develop highly reliable, predictable, and fault-tolerant software for embedded systems, industrial control, and time-critical applications.

The aim of the course is to teach the students essential techniques of Social Network
Analysis, explain basic concepts of networks, and introduce network visualization tools and
techniques.

This course focuses on basic concepts underlying the design, implementation, and management of distributed systems. It covers fundamental topics such as basic concepts in distributed systems, synchronization, election, distributed agreement, inter-process communication and coordination, replicated data management, distributed objects, security, and directory and discovery services.

Introduction to game programming, game architecture, game logic, basics of 3D games, programming keyboard, mouse and user interface for 3D games.

Case studies are a powerful and flexible empirical method. They are used primarily for exploratory investigations, both prospectively and retrospectively, that attempt to understand and explain phenomenon or construct a theory. They can also be used in the validation of research results. Due to this dexterity, they have become popular in software engineering and are frequently used in papers to understand, to explain or to demonstrate the capabilities of a new technique, method, tool, process, technology. Unfortunately, they are usually not used correctly. The aim of this lecture is to teach software engineering candidates how to effectively design, conduct, evaluate and read case studies.

Case studies are a powerful and flexible empirical method. They are used primarily for exploratory investigations, both prospectively and retrospectively, that attempt to understand and explain phenomenon or construct a theory. They can also be used in the validation of research results. Due to this dexterity, they have become popular in software engineering and are frequently used in papers to understand, to explain or to demonstrate the capabilities of a new technique, method, tool, process, technology. Unfortunately, they are usually not used correctly. The aim of this lecture is to teach software engineering candidates how to effectively design, conduct, evaluate and read case studies.

Summer training is six weeks (30 working days), it provides field experience carried out in any domestic or foreign public or private institution, student is to meet all the prompts of Faculty of Engineering & Natural Sciences and Department of Software Engineering internship directives to complete the internship successfully.

In this course, the studies will be made about the understanding, explanation, reading and writing, various features of written explanation will be considered and examined with critical viewpoint. The punctuation marks which are the basis of the written explanation and writing rules will be made evident and the correct use of such rules for efficient and sound expression will be elicited.

In this course, the studies will be made about the understanding, explanation, reading and writing, various features of written explanation will be considered and examined with critical viewpoint. The punctuation marks which are the basis of written explanation and writing rules will be made evident and the correct use of such rules for efficient and sound expression will be elicited.