Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsLooks at location services and GPS paths as detailed movement data. Covers precision, check rates, battery use, map fitting, and clearing messy paths for solid tourism flow and site 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 biasCenters on survey tools for tourism views, from quick app forms to spot checks. Explains form setup, picking groups, timing, rewards, and cutting reply skew and survey weariness.
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 cadenceOutlines app tracking and SDK data in tourism apps, covering sessions, views, and site visits. Includes consent steps, join rates, picking methods, update speeds, and dodging shady tricks and privacy dangers.
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 policiesTackles legal, privacy, and fair sides of tourism data. Checks GDPR-style rules, legal grounds, hiding identities, basic privacy math, hold limits, and fair guides for responsible data-led rule-making.
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 constraintsSpells out mobile net and CDR tourism views, like start places, 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 fill rates, lead times, stay ways. Focuses get options, share deals, skew sources, and 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 sets for tourism, like transport, events, nature. Covers shapes, update loops, licenses, and checking trust, full cover, 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 limitsHandles social media and user content as tourism data, like tagged posts, reviews, pics. Tackles feeling and topic pulls, site APIs, pick skew, fair read for destination 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 signs, Wi-Fi checks. Talks setup spots, tune-up, upkeep, edge work, near-now 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 sourcesShows linking mixed tourism data sets keeping source tracks. Covers tags, time match, space groups, 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
