Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsLooks at place services and GPS paths as detailed movement data. Talks about exactness, how often taken, battery use, map fitting, and cleaning messy paths for good tourism flow and spot visit study.
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 biasLooks at survey tools for tourism knowledge, from quick app forms to spot checks. Explains form making, picking groups, timing, rewards, and cutting answer 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 cadenceTells about app tracking and SDK data in tourism apps, like sessions, screens, spot visits. Covers okay flows, join rates, pick ways, update speed, and avoid 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 policiesLooks at law, privacy, right sides of tourism data. Checks GDPR-like rules, legal reasons, hiding names, basic diff privacy, keep limits, and right guides for good data leading.
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 constraintsTells mobile net and CDR tourism knowledge, like start places, flows, stay times. Talks space-time detail, get ways, group, and hard 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 book sites and managers, like full rooms, lead times, stay ways. Focus on get choices, share deals, bias starts, turn raw books 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 admin data sets for tourism, like travel times, events okay, nature data. Covers types, update times, rights, check trust, full, fit for work 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 place-tagged posts, views, pics. Handles feeling and topic pull, site links, pick bias, right read signs for place lead.
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 places, like counters, BLE signs, Wi-Fi checks. Talks put design, set right, keep up, edge work, near now data flows for daily work.
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 sourcesTells how to join different tourism data sets keeping source track. Covers IDs, time match, space group, ways to mix without too fit, 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
