Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsLooks at location services and GPS tracks as detailed movement data. Talks accuracy, check frequency, battery hit, map matching, and cleaning messy paths for solid tourist flow and site visit checks.
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 biasFocuses on survey tools for tourism know-how, from quick app forms to spot checks. Explains form design, sampling plans, timing, rewards, and cutting reply bias and survey 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 cadenceDescribes app tracking and SDK data in tourism apps, covering sessions, screens, site visits. Handles consent steps, join rates, sampling, update speed, and dodging 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 policiesHandles legal, privacy, and proper sides of tourism data. Checks GDPR-style rules, legal grounds, hiding names, basic diff privacy, hold limits, and guides for responsible data-led oversight.
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 constraintsDetails phone network and CDR tourism know-how, like home markets, flows, stay times. Talks space-time detail, access ways, grouping, and tough privacy, consent, rule needs.
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 agreementsChecks data from booking sites and managers, like fill rates, lead times, stay patterns. Focuses access choices, share deals, bias sources, turning raw bookings to 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 schedulesLooks at open and council data for tourism, like transport, events, nature. Covers formats, update rounds, licenses, checking trust, 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 limitsCovers social media and user content as tourism data, like tagged posts, reviews, pics. Handles mood and topic pulls, site APIs, sample bias, proper signal reads for spot handling.
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 retrievalCovers sensor and IoT data for smart spots, like counters, BLE tags, Wi-Fi scans. Talks setup spots, tuning, upkeep, edge work, near-live data flows for ops.
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 sourcesExplains linking mixed tourism data sets keeping source tracks. Covers IDs, time matching, space grouping, ways to mix without overfit, double counts, or privacy slips.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
