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, how often it checks, battery hit, map-fitting, and cleaning messy paths for good tourism flow and spot 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 setup, picking folks, timing, rewards, and cutting reply skew 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 cadenceCovers app tracking and SDK data in tourism apps, like sessions, screens, spot visits. Looks at okay flows, join rates, picking ways, update speed, and dodging bad tricks 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 law, privacy, fair sides of tourism data. Checks GDPR-style rules, okay reasons, hiding names, basic diff privacy, hold limits, and fair guides for good data-led running.
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 spots, flows, stay times. Talks space-time detail, get ways, grouping, and tough privacy, okay, 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 full rooms, lead times, stay ways. Focuses get options, share deals, skew sources, turn 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 times, events, nature. Covers setups, update rounds, licenses, check trust, full, 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 stuff as tourism data, geo posts, reviews, pics. Handles feeling and topic pull, site APIs, pick skew, fair read for spot running.
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 for smart spots, counters, BLE tags, Wi-Fi checks. Talks setup spots, tune, upkeep, edge work, near-now data flows for daily 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 track. Covers tags, time match, space group, ways to mix without overfit, double count, privacy breaks.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
