BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Flavio Luiz Seixas//Academic Calendar//EN
X-WR-CALNAME:Courses taught by Flávio Luiz Seixas
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-07-436f757273652069@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260807
SUMMARY:Course introduction — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Presentation of the syllabus\, methodology\, assessment\, and integrative project.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-14-4861636b6174686f@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260814
SUMMARY:Hackathon: problem definition and prototyping — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Team formation\, problem definition\, immersion\, ideation\, and prototyping.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-21-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260821
SUMMARY:Lecture 1: Introduction and evolution of AI in medicine — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-28-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260828
SUMMARY:Lecture 2: Clinical data types and quality — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-04-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260904
SUMMARY:Lecture 3: Interoperability and clinical standards — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-11-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260911
SUMMARY:Lecture 4: Problem formulation and model life cycle — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-18-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260918
SUMMARY:Lecture 5: Performance evaluation and validation\; Lecture 6: Classical supervised and unsupervised learning — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-25-5061706572207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260925
SUMMARY:Paper presentation 1 — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-02-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261002
SUMMARY:Lecture 7: Deep learning 1 — medical computer vision — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-09-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261009
SUMMARY:Lecture 8: Deep learning 2 — transformers and biomedical signals — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-16-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261016
SUMMARY:Lecture 9: Biomedical natural language processing\; Lecture 10: Language models and multimodality — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-23-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261023
SUMMARY:Lecture 11: Survival analysis and risk prediction\; Lecture 12: Causal inference and real-world evidence — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 4 — Survival\, causal inference\, and decision-making.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-30-556e697665727369@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261030
SUMMARY:University Outreach Week (SEMEXT) — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 4 — Survival\, causal inference\, and decision-making.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-06-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261106
SUMMARY:Lecture 13: Clinical decision support systems and implementation\; Lecture 14: Explainability\, equity\, and privacy\; Lecture 15: Regulation\, scientific reporting\, and MLOps — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-13-5061706572207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261113
SUMMARY:Paper presentation 2 — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-20-5075626c69632068@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261120
SUMMARY:Public holiday — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · There will be no class.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-27-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261127
SUMMARY:Lecture 16: The future of AI-based medicine — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-12-04-46696e616c207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261204
SUMMARY:Final project presentation — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Presentation and discussion of the mini-projects developed by the teams.
END:VEVENT
BEGIN:VEVENT
UID:informatica-saude-enfermagem-2026.2-2026-08-10-53657373696f6e20@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260810
SUMMARY:Session 1: Problems\, data\, decisions\, and Health Informatics — Health Informatics Applied to Nursing
DESCRIPTION:To be confirmed · 2026.2 · In-person session.
END:VEVENT
BEGIN:VEVENT
UID:informatica-saude-enfermagem-2026.2-2026-08-11-53657373696f6e73@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260811
SUMMARY:Sessions 2 and 3: Data and tools for research and decision-making\; Information systems\, RNDS\, terminologies\, and interoperability — Health Informatics Applied to Nursing
DESCRIPTION:To be confirmed · 2026.2 · In-person session.
END:VEVENT
BEGIN:VEVENT
UID:informatica-saude-enfermagem-2026.2-2026-08-20-53657373696f6e20@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260820
SUMMARY:Session 4: Technology applied to professional projects and connected care — Health Informatics Applied to Nursing
DESCRIPTION:To be confirmed · 2026.2 · Online session.
END:VEVENT
BEGIN:VEVENT
UID:informatica-saude-enfermagem-2026.2-2026-08-27-53657373696f6e20@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260827
SUMMARY:Session 5: Critical AI applied to doctoral work and practice — Health Informatics Applied to Nursing
DESCRIPTION:To be confirmed · 2026.2 · Online session.
END:VEVENT
BEGIN:VEVENT
UID:informatica-saude-enfermagem-2026.2-2026-09-03-53657373696f6e20@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260903
SUMMARY:Session 6: Integration\, implementation\, and governable decisions — Health Informatics Applied to Nursing
DESCRIPTION:To be confirmed · 2026.2 · Online session.
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-08-07-436f757273652069@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260807
SUMMARY:Course introduction — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-08-14-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260814
SUMMARY:Lecture 1: Parts of a business — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-08-21-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260821
SUMMARY:Lecture 2: Business process management — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-08-28-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260828
SUMMARY:Lecture 3: Business process management cycle using BPM — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-09-04-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260904
SUMMARY:Lecture 4: Business process discovery — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-09-11-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260911
SUMMARY:Lecture 5: Business process modeling with BPMN — part 1 — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-09-18-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260918
SUMMARY:Lecture 6: Business process modeling with BPMN — part 2 — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-09-25-5031@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260925
SUMMARY:P1 — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-10-02-50726573656e7461@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261002
SUMMARY:Presentation 1: case study topic — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-10-09-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261009
SUMMARY:Lecture 7: Business process analysis. Qualitative analysis: value-added analysis\, waste analysis\, stakeholder analysis\, cause-and-effect diagram\, five whys technique\, and Pareto analysis. — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-10-16-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261016
SUMMARY:Lecture 8: Business process analysis. Quantitative analysis: flow analysis\, queue analysis\, and process simulation. — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-10-23-50726573656e7461@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261023
SUMMARY:Presentation 2: AS-IS business process modeling — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-10-30-556e697665727369@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261030
SUMMARY:University Outreach Week (SEMEXT) — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-11-06-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261106
SUMMARY:Lecture 9: Business process redesign and improvement\; Lecture 10: Process monitoring — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-11-13-5032@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261113
SUMMARY:P2 — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-11-20-5075626c69632068@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261120
SUMMARY:Public holiday — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-11-27-50726573656e7461@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261127
SUMMARY:Presentation 3: TO-BE process design — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-12-04-5652@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261204
SUMMARY:VR — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
BEGIN:VEVENT
UID:modelagem-processos-2026.2-2026-12-11-5653@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261211
SUMMARY:VS — Business Process Modeling
DESCRIPTION:TCC00330 · 2026.2
END:VEVENT
END:VCALENDAR