Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsLook at location services and GPS tracks as detailed movement data. Talk about accuracy, how often sampled, battery effect, map-matching, and cleaning messy paths for good tourism flow and spot visit analysis.
GPS accuracy, drift, and indoor limitationsSampling frequency and battery trade-offsMap-matching to roads and pedestrian pathsDetecting stops, trips, and POI visitsFiltering noise and outlier trajectoriesLesson 2Survey and intercept instruments: design of short in-app and on-site surveys, sampling strategies, frequency, and response biasFocus on survey and stop-people tools for tourism insights, from quick in-app forms to on-ground questionnaires. Explain design, sampling ways, timing, rewards, and how to cut response bias and tiredness.
Defining survey objectives and key metricsQuestion wording, scales, and survey lengthOn-site, online, and in-app recruitmentSampling frames, quotas, and weightingNonresponse, recall, and social desirability biasLesson 3App telemetry and SDK data: location, session, POI visits, opt-in, sampling bias, and update cadenceDescribe app tracking and SDK data in tourism apps, like sessions, screens, and spot visits. Cover consent steps, opt-in rates, sampling, update speed, and avoid tricky patterns and privacy risks.
Session, screen, and event instrumentationLocation and POI visit logging in appsConsent flows, opt-in, and transparencySampling, throttling, and data volume controlUpdate cadence and SDK governanceLesson 4Legal, privacy, and ethical constraints: GDPR-equivalent frameworks, anonymization, differential privacy basics, and data retention policiesHandle legal, privacy, and proper sides of tourism data. Review GDPR-like rules, legal grounds, hiding identities, basic differential privacy, keep limits, and guidelines for responsible data governance.
Lawful bases for processing tourism dataData minimization and purpose limitationAnonymization and pseudonymization methodsDifferential privacy concepts and use casesRetention schedules and deletion policiesLesson 5Mobile network and CDR-derived insights: what they reveal (origin, flows, dwell time), temporal resolution, access channels, and privacy/legal constraintsDetail mobile network and CDR tourism insights, like origin markets, flows, stay times. Discuss space-time detail, access ways, grouping, and strict privacy, consent, and rules.
CDR structure, events, and aggregation levelsOrigin–destination matrices and visitor flowsDwell time estimation and stay classificationTemporal resolution and representativenessPrivacy, consent, and regulatory constraintsLesson 6Booking and reservation platforms data: occupancy, arrival/departure windows, booking lead times, and data sharing agreementsCheck data from booking sites and managers, like occupancy, lead times, stay patterns. Focus on access, sharing deals, bias sources, and turn raw bookings into tourism smarts.
Occupancy, ADR, and length-of-stay indicatorsArrival and departure windows by segmentBooking lead times and demand forecastingAPIs, exports, and channel manager feedsData sharing agreements and governanceLesson 7Open and administrative data: transport timetables, event permits, environmental datasets, and update schedulesLook at open and gov data for tourism, like transport, events, environment. Cover formats, update times, licenses, and check reliability, fullness, fit for daily and big plans.
Transport timetables and service calendarsEvent permits and cultural agenda datasetsEnvironmental and climate open data portalsLicensing, reuse rights, and attribution rulesUpdate frequency, versioning, and data qualityLesson 8Social media and UGC analytics: geo-tagged posts, sentiment, topic extraction, sampling bias, and API limitsCover social media and user content as tourism data, like geo-posts, reviews, photos. Handle sentiment, topic pull, platform APIs, sampling bias, and proper read of signals for management.
Geo-tagged posts and place-based activityReview text, ratings, and photo metadataSentiment and emotion analysis techniquesTopic modeling and trend detectionSampling bias, bots, and API limitationsLesson 9Sensor and IoT data (counters, BLE, Wi‑Fi probes): installation sites, calibration, maintenance, and near real-time retrievalCover sensor and IoT data for smart spots, like counters, BLE beacons, Wi-Fi probes. Discuss setup design, tuning, upkeep, edge work, and near real-time pipes for operations.
People counters and camera-based systemsBLE beacons and Wi‑Fi probe collectionSite selection, coverage, and interferenceCalibration, testing, and maintenance plansStreaming, buffering, and real-time accessLesson 10Data linkage and provenance: identifiers, temporal alignment, aggregation levels, and techniques for combining heterogeneous sourcesExplain linking different tourism data while keeping track. Cover IDs, time match, space grouping, and ways to mix sources without overfit, double count, or privacy breaks.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
