course-contents | MF-Yazılım Mühendisliği (İngilizce)

Course Details and Syllabus

First Semester:

ATA 101 Principles of Atatürk and History of Turkish Revolution 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.

CENG 109 Programming and Computation I

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.

ENG 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.

EPR 121 Entrepreneurship 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.

IUL 151 Introduction to University Life

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.

MATH 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.

PHYS 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. (One laboratory session every week.)

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.

EHS 101 Occupational Health and Safety

This course will cover an overview of occupational health and safety and safety culture, national occupational health and safety system, occupational health and safety approach, occupational health and safety legislation, occupational health and safety services to be conducted by the employer, the concept of occupational accident and occupational disease and the costs, occupational accident and occupational disease concept and its costs, risk factors in occupational health and safety, individual and organizational factors in occupational health and safety, records to be kept in occupational health and safety, occupational health and safety in electrical works.

MATH 201 Linear Algebra

Systems of linear equations, matrices and matrix operations, determinants, vector spaces, subspaces, linear independence, basis and dimension, linear transformations, eigenvalues and eigenvectors, diagonalization, orthogonality and least squares, applications of linear algebra in engineering and science.

Second Semester:

CENG 110 Programming and Computation II

Programming and Computation II builds upon the foundational concepts introduced in Programming and Computation I, advancing students’ understanding of algorithm design, data structures, and computational problem-solving. This course focuses on more sophisticated programming techniques, including object-oriented programming, modular design, and advanced recursion. Students explore complex data structures such as trees, graphs, and hash tables, while also learning strategies for optimizing performance and managing computational resources. Throughout the course, emphasis is placed on developing efficient, maintainable, and scalable software solutions through hands-on programming exercises and projects.

MATH 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.

PHYS 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. (One laboratory session every week.)

ENG 102 Academic English II

IUL 152 Building 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.

WED 128 Workplace Experience I

Students make observations and experience in the workplace one day of the week. Students take this course in business environment. The tasks and activities of the vocational candidates in this course should provide them with the opportunity to observe experienced superiors and workplace trainers on-the-job, to work individually with the students, even if they are limited. The activities carried out in the workplace experience course will provide candidates with various skills that will enable them to become an experienced employee. The students' progress in understanding the future profession and gaining the competencies constituting the profession will be evaluated by the university instructors who are in close cooperation with them and the application trainers and mentors who have gained experience in their work.

SENG 116 Object Oriented Programming

Object-Oriented Programming introduces the fundamental concepts and principles of object-oriented software development. This course covers key topics such as classes, objects, inheritance, encapsulation, polymorphism, and abstraction. Students learn how to design and implement modular, reusable, and maintainable code using an object-oriented approach. The course emphasizes problem-solving through real-world examples, focusing on designing class hierarchies, applying design patterns, and using modern development tools. Through hands-on projects and coding exercises, students gain practical experience in building robust software systems using object-oriented languages such as Python or C++.

EPR 122 Entrepreneurship Project

In order to prepare our students for real business life and the world so that they can be entrepreneurial and constructive, this course will cover the topics of business plan preparation and scheduling, business plan analysis and business modeling, cost preparation, specification preparation, evaluation, invoicing, innovation-realization, commercialization, and incorporation.

Third Semester:

FRL xxx Elective Foreign Language I

In this course, the students will be able to foreign language courses such as Chinese, German, Arabic, Italian, and Spanish etc.

WAP 227 Workplace Application I

This course is the continuation of the workplace experience 1 course and the students continue their workplace experience which they started in the previous semester with their mentors.

SENG 207- Human Computer Interaction

This course introduces the principles and practices behind the design and evaluation of interactive computing systems. The course focuses on understanding how humans interact with technology, covering topics such as user-centered design, usability principles, cognitive models, interaction styles, and interface design techniques. Students will explore methods for gathering user requirements, creating prototypes, and conducting usability testing. Through practical exercises and projects, students learn to design intuitive, accessible, and effective interfaces that enhance the overall user experience.

CENG 205 Data Structures and Algorithms

This course explores the fundamental techniques for organizing, storing, and processing data efficiently. The course covers essential data structures such as arrays, linked lists, stacks, queues, trees, heaps, graphs, and hash tables, as well as key algorithms for searching, sorting, recursion, dynamic programming, and graph traversal. Students will analyze the time and space complexity of algorithms, gaining an understanding of algorithmic efficiency and performance trade-offs. Emphasis is placed on selecting appropriate data structures and algorithms for solving various computational problems, with hands-on programming assignments that reinforce theoretical concepts through practical implementation.

CENG 213 Discrete Computing Structures

This course introduces the fundamental mathematical concepts and techniques that form the foundation of computer science and software engineering. Topics include logic, sets, relations, functions, combinatorics, graph theory, trees, recursion, and finite state machines. Students learn how to apply formal reasoning, proof techniques, and discrete models to solve computational problems, analyze algorithms, and understand the theoretical underpinnings of software systems. The course emphasizes the relevance of discrete structures in areas such as data organization, algorithm design, software verification, and complexity analysis.

MATH 202 Differential Equations

First-order differential equations, linear equations, homogeneous and non-homogeneous, series solutions, the Laplace transform, systems of first-order linear equations, boundary value problems, Fourier series.

Fourth Semester:

FRL xxx Elective Foreign Language II

In this course, the students will continue the language course they took in the previous semester. This will be the continuation of the Elective Foreign Language I course.

WAP 228 Workplace Application II

This course is the continuation of the WAP 227 workplace application I course and the students continue their workplace experience which they started in the previous semester with their mentors.

SENG 2xx Software Testing and Maintanence

This course is focuses on the principles, techniques, and tools used to ensure software quality throughout its lifecycle. The course covers key topics such as software verification and validation, unit testing, integration testing, system testing, regression testing, and test automation. Students learn how to design effective test cases, apply test strategies, and interpret test results to identify and resolve software defects. In the maintenance portion, the course addresses software evolution, refactoring, bug tracking, code reviews, and managing legacy systems. Emphasis is placed on maintaining software reliability, scalability, and performance in real-world environments, preparing students to sustain and improve software systems after deployment.

SENG 204 Software Engineering

This course provides an in-depth introduction to the systematic processes involved in the development of reliable, efficient, and maintainable software systems. The course covers the full software development lifecycle, including requirements analysis, system design, implementation, testing, deployment, and maintenance. Key topics include software process models, project management, software architecture, design patterns, version control, documentation, and team collaboration. Students gain practical experience by working on team-based projects that simulate real-world software development, applying engineering principles and best practices to deliver quality solutions. Emphasis is placed on balancing technical, organizational, and human factors to ensure successful software project outcomes.

MATH 204 Probability and Statistics for Engineers

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.

SENG 202 Introduction to Database Management Systems

This course introduces the fundamental concepts, principles, and architectures of modern database systems. The course covers data models (with a focus on the relational model), database design using entity-relationship (ER) diagrams, relational algebra, SQL querying, and normalization techniques. Students learn how to design, implement, and manage databases effectively, ensuring data integrity, security, and performance. Additional topics include transaction management, concurrency control, indexing, and an introduction to NoSQL systems. Through hands-on exercises and projects, students gain practical experience in building and interacting with real-world database applications.

Fifth Semester:

LCE 301 Law Concepts for Engineering

This course provides an overview of the fundamental legal principles, regulations, and ethical responsibilities that impact engineering practice. The course covers topics such as intellectual property (patents, copyrights, trademarks), contract law, liability, professional ethics, workplace safety, environmental regulations, and legal standards relevant to engineering projects. Students learn how to navigate the legal landscape in their professional activities, understand the implications of their decisions, and recognize the importance of ethical and legal compliance in engineering work. Emphasis is placed on real-world case studies and practical examples that help future engineers make informed, responsible choices in their careers.

WAP 327 Workplace Application III

This course is the continuation of the WAP 228 workplace application I course and the students continue their workplace experience which they started in the previous semester with their mentors.

CENG 303 Operating Systems Design and Construction

This course provides a comprehensive introduction to the fundamental concepts, principles, and design of modern operating systems. The course covers key topics such as process management, thread scheduling, synchronization, deadlocks, memory management, file systems, input/output systems, and security. Students learn how operating systems serve as the interface between hardware and software, managing resources and ensuring system stability and performance. The course combines theoretical foundations with hands-on experience, including practical exercises and projects that explore real-world operating system implementations such as Linux or Windows.

SENG 324 New Trends in Software Engineering

This course explores the latest innovations, tools, and methodologies shaping the future of software development. The course covers contemporary topics such as agile and DevOps practices, continuous integration and delivery, microservices architecture, cloud-native development, artificial intelligence in software engineering, blockchain applications, software analytics, and emerging software quality assurance techniques. Students will analyze current research, study real-world case studies, and engage in hands-on projects to understand how these trends impact the design, development, deployment, and maintenance of modern software systems. The course aims to equip students with the awareness and adaptability needed to navigate the rapidly evolving landscape of software engineering.

Sixth Semester:

SENG 312 Data Mining

This course introduces the fundamental concepts, techniques, and tools used to discover patterns, relationships, and insights from large datasets. The course covers topics such as data preprocessing, association rule mining, classification, clustering, anomaly detection, and dimensionality reduction. Students will explore core algorithms like decision trees, k-means, Apriori, and support vector machines, as well as evaluation metrics to assess model performance. Emphasis is placed on both the theoretical foundations and practical applications of data mining across fields such as business, healthcare, and social networks. Through hands-on projects and case studies, students gain practical experience in extracting actionable knowledge from real-world data.

SENG 305 Formal Languages and Automata

This course introduces the mathematical foundations of computing through the study of formal languages, grammars, and computational models. The course covers topics such as finite automata, regular languages, context-free grammars, pushdown automata, Turing machines, and undecidability. Students learn how to model and analyze computational problems, understand the limits of what can be computed, and explore the connections between language theory and practical applications such as compiler design, lexical analysis, and pattern matching. Emphasis is placed on developing rigorous reasoning and problem-solving skills through proofs, constructions, and algorithmic analysis.

SENG 310 Software Project Management

This course focuses on the principles, methodologies, and tools used to plan, execute, monitor, and successfully deliver software projects. The course covers key topics such as project lifecycle models, scope management, time and cost estimation, risk assessment, resource allocation, team leadership, quality assurance, and project communication. Students explore both traditional (waterfall) and modern (agile, Scrum) approaches, gaining practical experience with project management tools and techniques. Through case studies and group projects, students develop the skills to manage software teams effectively, meet client requirements, and deliver high-quality software solutions on time and within budget.

WEX 328 Workplace Application I

Within this course, students practice in the workplace one day of the week. Students apply this course in business environment. Candidates of the profession will have the opportunity to know the work environment and fully participate in what is happening at the workplace. The work to be carried out during the workplace application is planned according to the workplace before the beginning of the semester and by taking the opinions of the students and the application trainers who will guide them. Since each workplace's eco system will be different, the term plan is prepared after getting acquainted with the workplace's eco system, so that each student's weekly schedule may change.

ELEC 3 Technical Elective Course III

ELEC 4 Technical Elective Course IV

ELEC 5 Technical Elective Course V

Seventh Semester:

WEX 427-Workplace Experience II

Students gain experience by observing at work one day a week. Students take classes at work instead of school. In this course, vocational candidates have the opportunity to work individually and observe them, even if their duties and activities are limited to their experienced supervisors and trainers.

ELEC 6 Technical Elective Course VI

ELEC 7 Technical Elective Course VII

ELEC 8 Technical Elective Course VIII

ELEC 9 Technical Elective Course IX

ELEC 10 Technical Elective Course X

ELEC 11 Technical Elective Course XI

Eighth Semester:

SENG 402-Graduation Project II

This course is the continuation of Graduation Project I and involves the execution, completion, and presentation of the proposed aerospace engineering project. Students conduct detailed analysis, design, prototyping, simulations, or experiments as outlined in their project plans. The course culminates in a comprehensive final report and an oral presentation. Emphasis is placed on problem-solving, engineering application, teamwork, and effective communication of technical results.

WEX 428-Workplace Experience III

In the last semester of the program, all of the students will carry out practical training in a factory / production unit located in all provinces of Ankara or in Ankara in accordance with the predefined principles and principles that OSTIM Technical University deems appropriate. In addition, internship / on-the-job training will be carried out in a factory / production unit located in Ankara within the framework of the cooperation protocol between the OSTİM Technical University and the OSTİM Clusters within the framework of the development and cooperation. During this internship / on-the-job training, students will simultaneously take the “Project Management” course as internship / on-the-job training course. In this course, each student will be able to jointly identify the problem areas related to the Design, Production, Installation and Maintenance of various systems in the areas encountered in the factory / production unit where he / she is doing internship / on-the-job training, and jointly identify with the company the new generation creative solution proposals and will create a project idea, design it, develop it and reflect it on the field of application. This project will be evaluated in the performance of internship / on the job training.

Elective Course Pool:

ELEC 1 - ELECTIVE COURSE I

SENG 356 - Analysis of Algorithms

This course provides a rigorous exploration of algorithmic strategies and their efficiency. Students learn to analyze the time and space complexity of algorithms using Big-O, Big-Ω, and Big-Θ notations. Core topics include sorting and searching algorithms, graph algorithms (e.g., Dijkstra’s, Kruskal’s), dynamic programming, greedy methods, and amortized analysis. The course also introduces computational complexity theory, including NP-completeness and approximation algorithms. Emphasis is placed on both theoretical understanding and practical implementation through coding assignments and problem-solving sessions.

SENG 340 - Computer Games and Simulation

This course introduces students to the principles and practices of computer game development and simulation modeling. Topics include game physics, animation, AI for non-player characters, and real-time rendering. Students explore simulation techniques such as discrete-event simulation and agent-based modeling. Using industry-standard tools like Unity or Unreal Engine, students design and develop interactive games and simulations, gaining experience in game mechanics, storytelling, and user engagement. The course culminates in a team-based project where students build a playable game or simulation prototype.

SENG 342 - Introduction to Matlab Applications

Designed for students with little or no prior experience in MATLAB, this course focuses on using MATLAB for solving engineering and scientific problems. Topics include matrix operations, data visualization, control structures, and function creation. Students apply MATLAB to real-world applications such as signal processing, image analysis, and control systems. The course emphasizes hands-on learning through lab exercises and mini-projects, helping students develop proficiency in algorithm development and numerical computation.

SENG 344 - Mobile Programming

This course covers the design and development of mobile applications for platforms such as Android and iOS. Students learn about mobile UI/UX principles, responsive design, device sensors, and data persistence. The course explores native development (e.g., Kotlin/Java for Android, Swift for iOS) as well as cross-platform frameworks like Flutter or React Native. Security, performance optimization, and app deployment are also discussed. Students complete a series of projects culminating in a fully functional mobile app.

SENG 346 - Artificial Neural Networks

This course introduces the theory and application of artificial neural networks (ANNs). Students learn about perceptrons, multilayer feedforward networks, backpropagation, and activation functions. Advanced topics include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep learning frameworks such as TensorFlow and PyTorch. Applications in image recognition, natural language processing, and predictive modeling are explored through hands-on projects and case studies.

SENG 348 - Intelligent Machines

Focusing on the integration of AI and robotics, this course explores the design and development of intelligent systems capable of perception, reasoning, and action. Topics include sensor integration, control systems, path planning, and machine learning for robotics. Students work with platforms such as Arduino, Raspberry Pi, or ROS (Robot Operating System) to build and program autonomous machines. The course emphasizes real-world applications in areas like smart manufacturing, autonomous vehicles, and assistive robotics.

SENG 350 - Python Programming

This course provides a comprehensive introduction to Python, one of the most versatile and widely used programming languages. Students learn core programming concepts including data types, control structures, functions, and object-oriented programming. The course also covers Python libraries for data analysis (Pandas, NumPy), web development (Flask, Django), and automation. Through practical assignments and projects, students gain experience in writing clean, efficient, and reusable code.

SENG 352 - Software Economy

This course examines the economic principles underlying the software industry. Topics include software pricing models, cost estimation, return on investment (ROI), open-source economics, and the impact of intellectual property laws. Students analyze case studies of software companies and explore the dynamics of software markets, including SaaS, freemium models, and platform economies. The course also discusses the role of software in digital transformation and global economic development.

SENG 354 - Introduction to Forensic Informatics Engineering

This course introduces students to the field of digital forensics and its role in cybersecurity and law enforcement. Topics include forensic data acquisition, evidence preservation, file system analysis, and network forensics. Students learn to use forensic tools to investigate cybercrimes, recover deleted data, and trace digital footprints. Legal and ethical considerations, including chain of custody and privacy laws, are also discussed. Practical labs simulate real-world forensic investigations.

SENG 358 - Web Programming

This course provides a full-stack approach to web development. Students begin with front-end technologies such as HTML5, CSS3, and JavaScript, then progress to back-end development using frameworks like Node.js, Django, or Express. Topics include RESTful APIs, database integration, authentication, and web security. Students build dynamic, responsive web applications and deploy them using cloud platforms. Emphasis is placed on modern development practices such as version control, testing, and agile methodologies.

SENG 360 - System Programming

This course explores programming at the system level, focusing on the interface between software and hardware. Students learn to write programs that interact with the operating system using system calls, manage memory, handle processes and threads, and perform file I/O. Topics include shell scripting, inter-process communication, and concurrency. The course uses C/C++ and Unix/Linux environments, with hands-on labs that reinforce low-level programming skills.

SENG 364 - E-Signature Technologies

This course explores the technical and legal foundations of electronic signature systems. Students learn about digital signatures, public key infrastructure (PKI), certificate authorities, and cryptographic algorithms. The course also covers regulatory frameworks such as eIDAS and ESIGN Act, and examines real-world applications in e-government, finance, and legal sectors. Students implement secure signing workflows and evaluate the security and usability of e-signature platforms.

SENG 366 - Natural Language Processing

This course introduces the computational techniques used to process and analyze human language. Topics include text preprocessing, tokenization, part-of-speech tagging, syntactic parsing, sentiment analysis, and language modeling. Students work with NLP libraries such as NLTK, spaCy, and Hugging Face Transformers. Applications include chatbots, machine translation, and information extraction. The course combines theoretical foundations with hands-on projects using real-world datasets.

SENG 368 - Introduction to Data Visualization

Students learn to transform complex data into clear, compelling visual narratives. The course covers principles of visual perception, design best practices, and storytelling with data. Tools and libraries such as Tableau, Matplotlib, Seaborn, and D3.js are used to create static and interactive visualizations. Students work on projects that involve cleaning data, choosing appropriate visualization techniques, and presenting insights effectively.

SENG 370 - Introduction to AI

This foundational course introduces students to the core concepts and techniques of artificial intelligence. Topics include search algorithms, knowledge representation, logic and reasoning, machine learning, and intelligent agents. Students explore applications in robotics, game playing, and decision support systems. The course includes both theoretical components and practical assignments using AI libraries and frameworks.

SENG 372 - Design of System Analysis

This course focuses on the structured analysis and design of information systems. Students learn to gather and document requirements, model systems using UML diagrams, and design system architectures. Topics include use case modeling, data flow diagrams, entity-relationship modeling, and interface design. The course emphasizes communication with stakeholders and iterative development through case studies and team projects.

SENG 374 - Introduction to Image Forensics

This course explores the fundamental techniques and tools used in digital image forensics to detect tampering, authenticate visual content, and analyze image integrity. Students will learn about the principles of image formation, compression artifacts, and common manipulation methods such as splicing, retouching, and resampling. Key topics include pixel-level analysis, metadata examination, noise pattern analysis, and machine learning approaches to forgery detection. The course also covers forensic tools and software used in real-world investigations. Emphasis is placed on both theoretical understanding and practical skills through hands-on labs, case studies, and projects involving real and synthetic image datasets. By the end of the course, students will be equipped to critically assess the authenticity of digital images and understand the broader implications of image forensics in fields such as journalism, law enforcement, and cybersecurity.

SENG 376 - Lean Software Developement

This course introduces the principles and practices of Lean Software Development, an agile methodology focused on maximizing value while minimizing waste in the software development lifecycle. Students will explore core Lean concepts such as value stream mapping, continuous improvement (Kaizen), flow efficiency, and the elimination of non-value-adding activities. The course covers key practices including just-in-time development, empowered teams, fast feedback loops, and sustainable delivery. Emphasis is placed on both the theoretical foundations and practical implementation of Lean in modern software environments. Through real-world case studies, collaborative exercises, and hands-on projects, students gain experience in applying Lean thinking to improve software quality, team productivity, and customer satisfaction across various domains.

SENG 469 - Distributed Systems

This course explores the design and implementation of distributed systems, where components located on networked computers communicate and coordinate their actions. Topics include remote procedure calls, distributed file systems, consistency models, fault tolerance, and distributed algorithms. Students build scalable and resilient systems using technologies such as gRPC, Kafka, and cloud platforms. Real-world applications include microservices, blockchain, and distributed databases.

SENG 483 - Data Communication

This course introduces the principles and technologies of data communication and computer networks. Topics include transmission media, encoding techniques, error detection and correction, and network protocols. Students study the OSI and TCP/IP models, IP addressing, routing, and switching. The course includes hands-on labs with network simulation tools and explores emerging trends such as 5G, IoT, and network security.

ELEC 2-4 - ELECTIVE COURSE II-IV

SENG 413 – Digital Signal Processing

This course introduces the theory and application of digital signal processing (DSP). Topics include discrete-time signals and systems, Fourier transforms, digital filters (FIR and IIR), and sampling theory. Students learn to analyze and manipulate signals in the time and frequency domains using tools like MATLAB or Python. Applications include audio processing, image enhancement, biomedical signal analysis, and communications. The course emphasizes both mathematical foundations and hands-on implementation.

SENG 415 – Embedded Systems Programming

This course focuses on the design and programming of embedded systems—computing systems integrated into hardware devices. Students learn about microcontrollers, real-time operating systems (RTOS), memory management, and peripheral interfacing. Programming is done in C/C++ on platforms such as Arduino, STM32, or Raspberry Pi. Topics include interrupt handling, power management, and embedded communication protocols (SPI, I2C, UART). Projects involve building functional embedded applications for automation, robotics, or IoT.

SENG 417 – Agile Methods in Software Development

This course explores agile methodologies for managing software development projects. Students learn about Scrum, Kanban, Extreme Programming (XP), and Lean software development. Topics include user stories, sprint planning, continuous integration, and retrospectives. The course emphasizes collaboration, adaptability, and iterative delivery. Students participate in team-based projects using agile tools like Jira or Trello, simulating real-world agile workflows and practices.

SENG 419 – Introduction to Data Science

This course provides a comprehensive introduction to data science, covering the entire data pipeline from collection to visualization. Students learn data wrangling, exploratory data analysis, statistical modeling, and machine learning using Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib. Topics include data ethics, feature engineering, model evaluation, and storytelling with data. Projects involve working with real-world datasets to extract insights and build predictive models.

SENG 421 – System Modelling and Simulation

This course introduces techniques for modeling and simulating complex systems in engineering and computing. Students learn to build mathematical and computational models using tools like MATLAB/Simulink or SimPy. Topics include discrete-event simulation, continuous system modeling, queuing systems, and Monte Carlo methods. Applications span manufacturing, logistics, healthcare, and software systems. Students develop simulation models to analyze system behavior, optimize performance, and support decision-making.

SENG 423 – Software Engineering Ethics

This course examines the ethical and professional responsibilities of software engineers. Topics include intellectual property, privacy, cybersecurity, algorithmic bias, and the societal impact of technology. Students explore ethical frameworks, case studies, and codes of conduct such as the ACM/IEEE Software Engineering Code of Ethics. The course encourages critical thinking and ethical decision-making in real-world scenarios, preparing students to navigate complex moral dilemmas in their professional careers.

SENG 425 - Introduction to Blockchain Technology

This course provides a comprehensive introduction to the principles, architecture, and applications of blockchain technology. Students will explore the foundational concepts behind decentralized systems, cryptographic techniques, consensus mechanisms, and smart contracts. Key topics include blockchain structure, distributed ledger technologies, mining, proof-of-work and proof-of-stake algorithms, and token economics. The course also examines prominent blockchain platforms such as Bitcoin, Ethereum, and emerging alternatives. Emphasis is placed on both the theoretical underpinnings and real-world use cases of blockchain in areas such as finance, supply chain, healthcare, and digital identity. Through hands-on labs and case studies, students gain practical experience in building and interacting with blockchain networks, deploying smart contracts, and analyzing the impact of decentralized technologies on modern industries.

SENG 427 – Computer Vision

This course introduces the fundamental concepts and techniques of computer vision, enabling machines to interpret and understand visual information from the world. Topics include image processing, feature extraction, object detection, motion tracking, and 3D reconstruction. Students explore algorithms such as edge detection, Hough transforms, and convolutional neural networks (CNNs) for image classification and segmentation. Practical applications include facial recognition, autonomous vehicles, and augmented reality. Hands-on projects involve using libraries like OpenCV and TensorFlow to build real-world vision systems.

SENG 429 – Software Testing and Maintenance

This course focuses on ensuring software quality through systematic testing and long-term maintenance strategies. Students learn about unit testing, integration testing, system testing, and test automation. Topics include test-driven development (TDD), code coverage, debugging techniques, and regression testing. The course also covers software evolution, refactoring, and managing technical debt. Students use tools such as JUnit, Selenium, and CI/CD pipelines to implement robust testing frameworks and maintain software systems over time.

SENG 431 – Introduction to Optimization

This course introduces mathematical optimization techniques used to solve engineering and computational problems. Topics include linear programming, nonlinear optimization, integer programming, and constraint satisfaction. Students learn to model real-world problems and apply algorithms such as the simplex method, gradient descent, and branch-and-bound. Applications span logistics, resource allocation, machine learning, and operations research. Tools like MATLAB, Python (SciPy), or Gurobi are used for hands-on problem-solving.

SENG 433 – Introduction to Cryptography

This course explores the principles and practices of cryptography, focusing on securing data and communications. Topics include symmetric and asymmetric encryption, cryptographic hash functions, digital signatures, and key exchange protocols. Students study classical ciphers, RSA, AES, and elliptic curve cryptography, along with real-world applications in secure messaging, blockchain, and digital identity. The course emphasizes both theoretical foundations and practical implementation using cryptographic libraries.

SENG 435 – Basics of Internet of Things (IoT)

This course introduces the architecture, technologies, and applications of the Internet of Things. Students learn about sensors, microcontrollers (e.g., Arduino, Raspberry Pi), communication protocols (MQTT, Zigbee, Bluetooth), and cloud integration. Topics include data acquisition, edge computing, and IoT security. Through hands-on labs and projects, students design and prototype smart systems such as home automation, environmental monitoring, and wearable devices.

SENG 437 – Cloud Informatics and Virtualization

This course covers the foundations of cloud computing and virtualization technologies. Students explore cloud service models (IaaS, PaaS, SaaS), virtualization techniques (hypervisors, containers), and cloud platforms such as AWS, Azure, and Google Cloud. Topics include resource provisioning, scalability, fault tolerance, and cloud security. Students gain practical experience deploying applications in virtualized environments and managing cloud-based infrastructure using tools like Docker, Kubernetes, and Terraform.

SENG 441 – Virtual and Augmented Reality

This course explores the design and development of immersive virtual and augmented reality experiences. Topics include 3D graphics, spatial interaction, tracking systems, and user interface design for VR/AR. Students use development platforms such as Unity or Unreal Engine, along with devices like Oculus Rift, HTC Vive, or ARKit-enabled smartphones. Applications in gaming, education, healthcare, and simulation are discussed. Projects involve creating interactive VR/AR applications that blend digital content with the physical world.

ELEC 5-11 - ELECTIVE COURSE V-XI

SENG 443 – Reinforcement Learning

This course introduces the core concepts of reinforcement learning (RL), where agents learn to make decisions by interacting with an environment. Topics include Markov decision processes, dynamic programming, Monte Carlo methods, temporal-difference learning, Q-learning, and policy gradient methods. Students explore applications in robotics, game AI, and recommendation systems. Practical assignments involve implementing RL algorithms using Python and libraries like OpenAI Gym and TensorFlow.

SENG 445 – Service-Based Web Programming

This course focuses on the design and development of web applications using service-oriented architecture (SOA). Students learn to build and consume RESTful and SOAP web services, integrate third-party APIs, and manage microservices. Topics include JSON/XML data exchange, authentication (OAuth, JWT), and service orchestration. Projects involve creating scalable, modular web applications using frameworks like Spring Boot, Flask, or Node.js.

SENG 447 – Mobile Application Development

An advanced course in mobile development, focusing on building robust, user-friendly applications for Android and iOS. Students explore mobile architecture patterns (MVC, MVVM), performance optimization, offline capabilities, and integration with cloud services. The course includes hands-on development using native SDKs (Kotlin/Swift) and cross-platform tools like Flutter or React Native. Students complete a capstone project involving a fully functional mobile app.

SENG 449 – Advanced Linux

This course provides in-depth knowledge of the Linux operating system, focusing on system administration, shell scripting, kernel configuration, and performance tuning. Topics include file systems, process management, networking, security, and virtualization. Students gain hands-on experience with tools like systemd, cron, iptables, and Docker. The course prepares students for advanced roles in DevOps, system engineering, and cybersecurity.

SENG 451 – Information Retrieval and Web Search

This course explores the principles and technologies behind search engines and information retrieval systems. Topics include indexing, ranking algorithms, relevance feedback, natural language queries, and web crawling. Students study models such as Boolean, vector space, and probabilistic retrieval. Practical components involve building search engines and experimenting with tools like Elasticsearch and Apache Lucene.

SENG 453 – Software Requirements and Analysis

This course focuses on the early stages of the software development lifecycle, emphasizing requirements engineering and system analysis. Students learn techniques for eliciting, documenting, validating, and managing software requirements. Topics include use case modeling, stakeholder analysis, traceability, and requirement prioritization. The course includes real-world case studies and team-based projects to simulate client interactions and requirement specification.

SENG 455 – Machine Learning

This course provides a comprehensive introduction to machine learning algorithms and their applications. Topics include supervised and unsupervised learning, decision trees, support vector machines, clustering, dimensionality reduction, and ensemble methods. Students use Python libraries such as Scikit-learn, TensorFlow, and Keras to build and evaluate models. Applications include image recognition, fraud detection, and predictive analytics.

SENG 457 – Web and Mobile Application Development with Kuika

This course introduces Kuika, a low-code platform for developing web and mobile applications. Students learn to design user interfaces, define workflows, and integrate data sources using Kuika’s visual development environment. The course emphasizes rapid prototyping, deployment, and iteration. Projects involve building real-world applications with minimal coding, suitable for startups and enterprise solutions.

SENG 459 – Special Topics in Computer Networks

This course explores emerging and advanced topics in computer networking. Subjects may include software-defined networking (SDN), network function virtualization (NFV), 5G technologies, IoT networking, and cybersecurity. The course is research-oriented, encouraging students to investigate current trends, analyze protocols, and develop experimental network applications or simulations.

SENG 461 – Robotics and Robotic Autonomy

This course covers the fundamentals of robotics with a focus on autonomous behavior. Topics include kinematics, control systems, localization, path planning, and sensor integration. Students work with robotic platforms and simulation environments (e.g., ROS, Gazebo) to develop autonomous navigation and manipulation systems. Applications include drones, self-driving vehicles, and industrial automation.

SENG 463 – Basics of Electronic Commerce

This course provides an overview of the technologies and business strategies behind electronic commerce. Topics include online transaction processing, digital marketing, e-payment systems, cybersecurity, and legal frameworks. Students explore case studies of successful e-commerce platforms and develop their own e-commerce solutions using tools like Shopify, WooCommerce, or custom-built platforms.

SENG 465 – Wireless Mobile Networks

This course examines the architecture, protocols, and technologies of wireless and mobile communication networks. Topics include cellular networks (3G/4G/5G), Wi-Fi, Bluetooth, mobile IP, and handoff strategies. Students analyze network performance, security, and mobility management. Practical labs involve network simulation and configuration using tools like NS-3 or Wireshark.

SENG 467 – Introduction to Control Systems

This course introduces the principles of control systems used in engineering and automation. Topics include feedback control, transfer functions, stability analysis, PID controllers, and state-space representation. Students use MATLAB/Simulink to model and simulate control systems. Applications include robotics, automotive systems, and industrial automation.

SENG 471 – Bioinformatics

This interdisciplinary course combines biology, computer science, and statistics to analyze biological data. Topics include DNA/RNA sequence analysis, genome annotation, protein structure prediction, and phylogenetics. Students use tools like BLAST, Biopython, and R for data analysis. Applications include personalized medicine, drug discovery, and evolutionary studies.

SENG 473 – Information Security

This course covers the principles and practices of securing information systems. Topics include cryptography, access control, network security, malware analysis, and risk management. Students learn to identify vulnerabilities, implement security policies, and respond to incidents. Hands-on labs involve penetration testing, secure coding, and using tools like Wireshark, Metasploit, and Nessus.

SENG 475 – Genetic Algorithm and Programming

This course explores evolutionary computation techniques inspired by natural selection. Topics include genetic algorithms, genetic programming, selection strategies, crossover, mutation, and fitness evaluation. Students apply these techniques to optimization and machine learning problems. Projects involve implementing evolutionary algorithms to solve real-world challenges in scheduling, design, and AI.

SENG 477 – Design Patterns

This course introduces reusable solutions to common software design problems through design patterns. Students study creational, structural, and behavioral patterns such as Singleton, Factory, Observer, and Strategy. The course emphasizes object-oriented design principles and best practices. Students apply patterns in software projects to improve code maintainability, scalability, and flexibility.

SENG 479 – Distance Education Technologies

This course explores the technologies and pedagogical strategies behind online and distance learning. Topics include learning management systems (LMS), video conferencing tools, content authoring, and assessment methods. Students evaluate platforms like Moodle, Canvas, and Zoom, and design their own e-learning modules. The course also addresses accessibility, engagement, and instructional design.

SENG 481 – Fuzzy Logic

This course introduces fuzzy logic and its applications in systems that handle uncertainty and imprecision. Topics include fuzzy sets, membership functions, fuzzy inference systems, and fuzzy control. Students implement fuzzy systems for decision-making and control in areas such as robotics, automation, and AI. Tools like MATLAB Fuzzy Logic Toolbox are used for simulation and design.

SENG 485 – Computer Graphics

This course covers the fundamentals of computer graphics, including rendering, modeling, and animation. Topics include 2D/3D transformations, lighting, shading, texture mapping, and real-time graphics. Students use graphics APIs such as OpenGL or WebGL to create interactive visual applications. Projects involve building visual simulations, games, or visualization tools.

SENG 487 – Database Applications

This course focuses on the design and development of database-driven applications. Students learn advanced SQL, stored procedures, triggers, and database connectivity using programming languages like Java, Python, or PHP. Topics include transaction management, concurrency control, and database security. Projects involve building full-stack applications with relational or NoSQL databases.

SENG 439 – Deep Learning

This advanced course delves into deep learning architectures and techniques. Topics include convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, generative adversarial networks (GANs), and transfer learning. Students use frameworks like TensorFlow and PyTorch to build models for image recognition, natural language processing, and generative tasks. The course includes hands-on projects and research-oriented assignments.