Instructor: Alan Forsberg.
Office hours: after class or by appointment.
Tel: (650) 574-6677 x9296
This course introduces and provides hands-on instruction in ArcView geographic information systems software. GIS 301 is recommended but is NOT a prerequisite. Advanced math or computing skills are not necessary to enroll in this course.
COURSE SCHEDULE (below) and this syllabus can be accessed at the following web address:
At the conclusion of the course you should be able to:
Getting to Know ArcView 1998
Reading assignments will be made from this textbook, and occasional handouts.
HOW THE COURSE IS ORGANIZED
Students in the computer lab will work through the exercises out of the textbook Getting to Know ArcView GIS and complete a quiz for each day of the course.
PREPARATION AND ASSIGNMENTS
You should complete the assigned reading by the due date. Check the schedule to see if there have been any revisions. Prepare for the class by taking notes and asking questions on topics that you do not understand.
QUIZZES / IN-CLASS EXERCISES
Students will work through exercises in the textbook and complete a quiz during each class meeting.
ATTENDANCE & CLASS PARTICIPATION
Attendance will be taken daily. Class participation means attending regularly, answering questions in class, asking appropriate questions, contributing to class. You may be dropped if you are absent more than twice without notifying the instructor. However, it is your responsibility if you decide to drop the class. Do not count on me to drop you before the last date for a "W".
|In-class Quizzes/Exercises (150 points each)||900 points|
|TOTAL POINTS||1000 points|
The total number of points that you accumulate during the semester will determine your final course grade. Final grades are based on the following percentages of total points:
|A = 900-1000 pts.||B = 800-899 pts.||C = 700-799 pts.||D = at least 600 pts.|
|Week||Date||Readings / Exercises --- (Chapters 1-6 are for background and reference)|
|1||2/28||ArcView basics chpts. 7-10|
|2||3/7||Working with spatial data chpts. 11-12 - Map Projections Examples|
|3||3/14||Querying data chpts 13-14|
|4||3/21||Managing tabular data chpts 15-16|
|5||3/28||Analyzing spatial relationships chpts. 17-18|
|6||4/4||Presenting information chpts. 19-21|