Review of 11.208 Part I: Review of Lectures & Labs Tues. Lecture 1 Introduction to 11.208 & Thematic Mapping LAB A: Simple Thematic Map (ArcView) Tues. Lecture 2 Crime Case Study & Elementary Database Management LAB B: Basic Database Queries (Access) Tues. Lecture 3 Making Sense of The Census, Part I Wed. Lecture 4 Relational Databases Wed. Lecture 5 Wed. Lecture 6 Thurs. Lecture 7 Thurs. Lecture 8 Fri. Lecture 9 Fri. Lecture 10 Relational Database Design LAB C: DOT Employee Survey & Parcel/Property Ownership (Access) LAB D: Querying & Analyzing Census Data (Access) Database Management in Planning LAB E: Extracting & Analyzing Making Sense of The Census, Part II Census Data (ArcView & Access) Preparing Effective Maps GIS, Spatial Analysis, & Internet Mapping Course Wrap-up LAB F: Effective Thematic Maps (ArcView & Access) LAB G: Web-GIS & MITOrthoTools (ArcView) Alumni Panel Map Income By Town (using prepared data) (Lab A) /\ / \ / \ Map Data | | | Flat +------ Text file: Web list of EPA sites ----> Lab B | Files \ (Small tables - a few dozen rows) | | \ | | +---- DOT employee survey data ----> Lab C | | \ (Medium size tables - 5,000 rows) | | \ | | +-- Census STF3a CD-ROMs ----> Lab E | | (Larger tables - 100,000 x 1,000) | | | Relational +------ Joining simple parcel/tax tables ----> Lab C | Tables & \ | SQL +----- Census counts & 'group by' ------> Lab D | | \ | | +--- Extracting census data -----------> Lab E | | Effective maps using custom extracts -------------------------> Lab F of Census Data | GIS +------------ Combining raster images, maps, and tabular data-----> Lab G Other Courses: 11.520 (Fall), 11.521 (Spring), 11.523 &11.524 (Spring), Etc. Part II: Course Administration Issues Doublecheck list if you want to register for 11.208 credit Overview of homework assignment Homework due next Thursday - then machines are re-configured Optional Lab Hours posted for weekend (Sat/Sun) and next week Course Evaluation sheet Part III: Information Infrastructures for Planning Getting the Data Building planning processes and workflow around information 'Enabling' planning rather than just 'automating' clerical tasks Institutional computing (vs. personal computing): Distributed computing strategies Part IV: Industry and Professional Trends Vendors, cost, staffing, etc. Where to go for more: o Courses: Above list + other-MIT courses + GSD +... (Tufte workshop,...) o Organizations: APA Info Tech Division, URISA, GITA, AAG, UCGIS, OGC, NSDI Part V: Alumni Panel Discussion