Chairs

What is it about?

The Latin American School of Informatics (ELI) is an evolution of the tutorials offered at all CLEIs. These tutorials will begin to be formalized in 2022, and the third edition, to be held in parallel with CLEI 2025, aims to offer a choice of courses of interest to undergraduate, graduate, and professional students. Course proposals will be similar to those for conference papers; that is, they will be evaluated by an academic committee that will select a set of courses. The topics planned for the ELI cover all areas of computer science and engineering.

Course Schedule

Pre-Registration

Courses

• Internet of Things and Digital Twins – by Dr. Rodrigo Santos (UNS – Argentina)
  • Duration: 15 in-person hours
  • General objective: To acquire the necessary knowledge to analyze complex IoT-based communications systems to feed digital twins that support decision-making in different application areas.
  • Specific objectives:
    • Understand the structure of the Internet of Things as a network of sensors/actuators.
    • Know the most commonly used IoT data protocols: MQTT, COAP.
    • Understand the interrelationship of data protocols and communication standards.
    • Cloud computing, edge computing, application and data synchronization.
    • Know how digital models and system evaluation are created.
• Adaptive gamification for collaborative projects – led by Dr. Diego Torres (UNLP, Argentina) and Dr. María Dalponte Ayastuy (UNQ, Argentina)
  • Duration: 15 in-person hours
  • General objective: To present an introduction to the concepts of gamification and adaptive gamification, the state-of-the-art in adaptive gamification strategies for collaborative projects, and a description of adaptive gamification design patterns.
  • Specific objectives:
    • To understand the characteristics of collaborative projects, in terms of the tasks to be gamified, including spatial and temporal elements.
    • To understand different classic models of gamification and adaptive gamification.
    • To be able to select and design different approaches to adapting gamification in collaborative projects.
    • To understand qualitative and quantitative evaluation approaches and be able to design an evaluation in a specific collaborative context or project.
• Introduction to LLMs and Agents: Architectures and Applications in Software Engineering – by Dr. J. Andrés Díaz Pace (UNICEN – Argentina)
  • Duration: 15 in-person hours + 15 additional practical hours
  • Objectives: This course offers an introductory overview of LLMs and their applications, from prompting-based conversational chatbots to Retrieval-Augmented Aggregate (RAG) techniques to agents. The course presents the main concepts for building intelligent applications using different patterns involving LLMs, with an emphasis on agent design and evaluation, analyzing methodologies and challenges for both research and production environments. Frameworks such as Langchain, LlamaIndex, and AutoGen will be used to illustrate the concepts with practical exercises. Additionally, the course aims to provide applications in the field of Software Engineering (e.g., design decisions, architecture evaluation, requirements generation).
• Neural Networks for Text Analysis and Generation – by Dr. Aiala Rosá (UDELAR – Uruguay), Dr. Guillermo Moncecchi (UDELAR – Uruguay), and MSc. Juan José Prada (UDELAR – Uruguay)
  • Duration: 15 hours of classroom time + 15 hours of final project
  • Objective: The objective of this course is to present methods based on deep neural networks, applied to the field of Natural Language Processing, particularly text analysis and generation. The main neural network architectures currently in use are presented, with special emphasis on the Transformer architecture and language models based on it, and their application to various text analysis and generation tasks.
• Inclusive Design of Serious Video Games with Generative Artificial Intelligence – by Dr. Ismar Frango Silveira (UPM – Brazil) and Dr. Valéria Farinazzo Martins (UPM-Brasil)
  • Duration: 15 in-person hours + 10 hours of final project
  • Objectives:
    • Understand the fundamental concepts of serious video games, accessibility, and generative artificial intelligence
    • Identify the benefits and applications of serious video games in various sectors
    • Explore generative AI techniques for creating and managing serious video games
    • Learn to develop and implement serious video game use cases with generative AI
    • Analyze practical examples of accessible serious video games with generative AI
• Ontology Engineering – led by Dr. Regina Motz (UDELAR – Uruguay) and Dr. Edelweis Rohrer (UDELAR – Uruguay)
  • Duration: 15 in-person hours + 10 hours of final project
  • Objectives:
    • This course is designed to provide graduate and professional students with rigorous training in the development and application of computational ontologies as formal knowledge representation systems.
    • The pedagogical approach combines theoretical sessions on formal foundations with practical workshops. This combination allows participants not only to understand abstract principles but also to apply this knowledge in the development of concrete solutions. The analysis of selected case studies provides context and relevance to the concepts learned.
    • Upon completion of the program, participants will have developed key competencies to design formally rigorous ontologies, evaluate existing models with academic criteria, and implement ontology-based solutions that address specific research challenges.

Call for course proposals

ELI 2025 invites course submissions in any area of ​​computer science and engineering and its related technologies and theoretical foundations. These courses address current topics based on research results, the state of the art of a given topic, or provide an introduction to a topic of industrial or academic interest. These topics are included in the CLEI tracks: Software Systems, Intelligent Systems, Systems in Practice, Computing Technologies, and Computing Education.

Two types of course proposals will be accepted for the CLEI conference week:

• Courses with 15 hours of in-person instruction by the instructor and a minimum of 25 total hours of course time. In addition to the in-person hours, additional hours of final work will be required for the student to complete after the end of the course as part of the evaluation. This work will be coordinated during the course with the students, chairs, and the local organization.

• Courses with between 10 and 15 hours of in-person instruction by the instructor, with no extra hours, will only issue ELI-CLEI attendance certificates.

Partial support will be offered to attend ELI for the in-person delivery of the course during CLEI 2025. This will be coordinated with the applicants once the selected courses are notified.

SUBMISSION OF COURSE PROPOSALS

The course proposal must be submitted in PDF format via easychair indicating the ELI track and including the following information:

• Course title
• Area of ​​computing to which it pertains (associated symposium)
• Content (general summary and detailed syllabus)
• Duration (total number of in-person hours and proposed days/hours per day)
• Course capacity (if applicable)
• CV of Instructor(s)
• Language of instruction (English, Portuguese, or Spanish)

IMPORTANT DATES

• Submission deadline: June 1, 2025 June 15, 2025 (Extended)
• Author notification: June 30, 2025
• Final version: July 20, 2025
  

REVIEW OF PROPOSALS
Course proposals will be evaluated by an academic committee, which will select a set of courses based on compliance with the requirements defined in this call, including the CV of the proposer(s). Course topics will ideally be from three distinct areas of the Computer Science discipline, varying from the previous edition of the School and aligned with the interests of the local organization.