26E113PARS - Practicum in Software Development tools

Course specification
Course title		Practicum in Software Development tools
Acronym		26E113PARS
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Dražen Drašković
Lecturer/Associate (for practice)		professor PhD Dražen Drašković
Lecturer/Associate (for OTC)		asst. MA Aleksa Srbljanović, electrical and computer engineer asst. MA Miloš Obradović, electrical and computer engineer asst. MA Mihajlo Ogrizović, electrical and computer engineer asst. Matija Dodović, electrical and computer engineer
ESPB		3.0	Status	elective
Condition		none
The goal		This course's objective is to acquaint students with modern tools for version control, continuous integration, and continuous delivery (CI/CD), as well as tools based on artificial intelligence.
The outcome		Upon completing this course, students will be able to use tools for efficient software development in industry, including version control systems, automation tools for continuous integration and continuous delivery (CI/CD), and AI-based development tools.
Contents
Contents of lectures		Fundamentals of version control systems, repository and index-tree concepts, repository management commands, branching, merging, and conflict resolution. Fundamentals of working with continuous integration and continuous delivery systems for software projects. Strategies for AI-driven software development.
Contents of exercises		Fundamentals of working with version control tools using Git (basic techniques with local repositories, branching, merging, and conflict resolution). Working with remote repositories such as GitHub, GitLab, and others. Fundamentals of working with continuous integration and continuous delivery tools using Jenkins. Application of AI-driven techniques for efficient software development.
Literature
P.K. Ponuthorai, J. Loeliger, Version Control with Git, O'Reilly Media, Inc., 2022. (Original title) R. Leszko, Continuous Delivery with Docker and Jenkins: Create secure applications by building complete CI/CD pipelines, Packt Publishing, 2022. (Original title) A. Patil, M. Soni, Hands-on Pipeline as Code with Jenkins: CI/CD Implementation for Mobile, Web, and Hybrid Applications Using Declarative Pipeline in Jenkins (English Edition), BPB Publications, 2021. (Original title) M. Tsitoara, Beginning Git and GitHub: a comprehensive guide to version control, project management, and teamwork for the new developer, Apress, 2019. (Original title) S. Shrivastava, K. Arora, A. Dubey, D. Thakur, S. Sahay, Generative AI for Software Developers: Future-Proof Your Career with AI-Powered Development and Practical Hands-On Skills, 2025. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
1	1	0.5
Methods of teaching		Lectures and laboratory exercises. Oral defense of homework and projects.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	30
Practical lessons		70	Oral examination	0
Projects		0
Colloquia		0
Seminars		0