Tietotekniikka - Software Engineering

The course will introduce and discuss Software Process Management practices emphasizing the most popular process models used in the industry. The course will provide knowledge about: -the different software process models and their application to different circumstances -the main roles related to software development processes -how to coordinate software development -how to interface and interact with a software team and among different software teams. -how to properly estimate the effort

During this course, students apply all the software engineering skills they have acquired from their earlier courses to practice. Students form teams that run a real software project in collaboration with a customer, from requirements to implementation and delivery to the customer. Topics for the projects are generated by real customers. The focus of the course is on the process and project management issues, especially customer collaboration and efficient teamwork. Teams apply the Scrum process in practice and run their own projects independently using short iterations. Each team presents and reflects on its progress several times during the course. Students reflect on their learning in learning diaries. Delivery of the solution to the customer is required for the successful completion of the course.

The Software Project Management course introduces the fundamentals of project management, beginning with project definition through the post-project review. There will be an emphasis placed on applying project management concepts and techniques to software development projects. The following topics will be covered in the course: Introduction to Software Project Management Project Methodologies and Processes Measurable Organizational Value and the Business Case Project Managers, Teams, and Stakeholders Project Scope, Structure, and Scheduling Project Infrastructure, Resources, and Costs Managing Project Quality Managing Project Risks Project Execution, Completion, and Control

Teknologiaan ja sitä sivuaviin (tieto)teknisiin aiheisiin liittyvä itsenäinen suunnittelu- ja toteutusprojekti, josta tiedon kerääminen ja analysointi tapahtuu hyvää akateemista tapaa noudattaen. Opitun osoittaminen tapahtuu tuottamalla akateeminen opinnäyteraportti ja lisäksi opinnäytteen suunnitelma ja lopputulema esitetään kurssin seminaareissa.

C-ohjelmointikielen syöttö ja tulostus sekä tietovirrat; valinta- ja toistorakenteet; teksti- ja binaaritiedostojen käsittely; tietotyypit ml. tietue, taulukko ja linkitetty lista; rakenteinen ohjelmointi, aliohjelmat, parametrit ja paluuarvot, muuttujien näkyvyys; virheenkäsittely; kirjastot; rekursio; osoittimet; dynaaminen muistinhallinta; hyvä ohjelmointityyli ja make.

Database systems. Database design. Object-centric modeling and ER-modeling. Specifying relational models. SQL and object languages. Perspectives into database design: How database is designed, how data is modeled, and what are data storage structures and access methods. Transforming ER models to relational models, and then to relational databases. Basics to database programming: queries and other operations, database management, such as triggers. Implementing databases in practice and how to use SQL databases from other programs.

The course focuses on: performance, type safety, concurrency, memory safety and borrowing. It also covers the basic things such as IO with Rust and functions, objects, traits and standard library.

The course focuses on: sprites, animation, tile mapping, physics engine, lightning, particle effects, shaders and signals in 2D and 3D environments. It also covers the basic things such as controls, file IO, functions, objects, nodes and scenes. NOTE: The English materials are not ready until January 2026!

Software Engineering and Computer science-themed independent project, workshop on scientific writing, and project seminar presentations towards the Bachelor’s thesis work.

Relational model and relational database design. Database applications, data distribution and architectures. Data storage and retrieval, data scalability, performance, security, authorization. Modeling and programing for semi-structured data, secondary storage management.

The Software Project Management course introduces the fundamentals of project management, beginning with project definition through the post-project review. There will be an emphasis placed on applying project management concepts and techniques to software development projects. The following topics will be covered in the course: Introduction to Software Project Management Project Methodologies and Processes Measurable Organizational Value and the Business Case Project Managers, Teams, and Stakeholders Project Scope, Structure, and Scheduling Project Infrastructure, Resources, and Costs Managing Project Quality Managing Project Risks Project Execution, Completion, and Control

Software testing techniques, levels, automation, tools, working as a tester in a software testing team.

Object-orientation, classes, inheritance, basics of modelling classes, principles of Java, basic data structures, abstract data types, exceptions, graphical user-interface.

Basic structures and functions of the operating system: file system, processes, memory management. Structure of the Unix system. C programming language and its programming environment and tools in the Unix system. Unix command decoder programming. Standard I/O-library, advanced I/O functions. System data and files. Processes, process management, interprocess relations. Braid ends and their management. Service processes. Interprocess communication. Signals and their management.

Database systems. Database design. Object-centric modeling and ER-modeling. Specifying relational models. SQL and object languages. Perspectives into database design: How database is designed, how data is modeled, and what are data storage structures and access methods. Transforming ER models to relational models, and then to relational databases. Basics to database programming: queries and other operations, database management, such as triggers. Implementing databases in practice and how to use SQL databases from other programs.

This course aims to make students understand the intersection of artificial intelligence (AI), DevOps practices, regulatory operations (RegOps), and AI Operations (AIOps). Students will learn to integrate AI-driven tools and techniques into DevOps workflows to enhance automation, efficiency, compliance, and ethical considerations. Students will learn to innovate responsibly in the rapidly evolving software industry through lectures, hands-on assignments, guest talks, and real-world case studies.

Pääsisältö: Käyttöliittymän suunnitteluun liittyvät perus tausta-asiat. Elementtien sijoittelu käyttöliittymässä, ihmisen aistit ja käyttöliittymä kokonaisuutena (mm. värisokeuden huomioon ottaminen ja kulttuurilliset tekijät).

The course focuses on: sprites, animation, tile mapping, physics engine, lightning, particle effects, shaders and signals in 2D and 3D environments. It also covers the basic things such as controls, file IO, functions, objects, nodes and scenes. NOTE: The English materials are not ready until January 2026!

Kurssi käy läpi LUTin opiskelussa tavallisimmat sovellukset, miten AItä voidaan käyttää ohjelmistojen yhteydessä suunnittelu ja kehitystyön apuna, sekä säännöt sille miten tekoälyä tulisi käyttää siten että työtä voi kutsua edelleen omakseen. Teemoina kurssilla ovat -Toimisto-ohjelmistot (Copilot) -Piirto- ja suunnitteluohjelmistot (Copilot ja ChatGPT) -Muut työkalut ja opiskelun kannalta hyödylliset palvelut -Erilaisten tekoälyjen tuottama sisältö (esim. musiikki tai video) -Tekoälyn käyttäminen opiskelun apuvälineenä, tekoälytuutori ja active learning-menetelmät

Course Objectives Understand the foundational concepts of quantum computing and their relevance to software engineering. Gain knowledge of quantum software development methodologies, including requirements engineering and architectural design. Develop the ability to design, build, and test hybrid quantum-classical software systems. Identify and address the unique challenges in quantum software development and apply strategies to overcome them. Understand the future trends in quantum software engineering and their impact on the software industry.