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This lecture consists of a Q&A session with the instructors discussing hydrological modeling, virtual tours, and practical exercises related to the Martini case study. Students provide feedback on the exercise, share their impressions, and ask questions about data handling, model initialization, and performance indicators. The instructors emphasize the importance of understanding model behavior, adapting initial conditions, and prioritizing performance indicators based on modeling objectives. They also encourage students to explore literature, practice model calibration, and critically evaluate model outputs. The session concludes with information on master's projects using RS Miner and an invitation for students to collaborate on improving modeling techniques.