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Lecture 18

PHIL 100 Lecture Notes - Lecture 18: Collaborative Filtering, Inditex, Data Mining

Course Code
PHIL 100

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Create relationships on Access, click on relation database, fields, add relationships from
the primary one to the relational one
Right click, edit relationship
Enforce + Cascade + Cascade Delete
Cascade Update/Delete – if added new customer, change will be reflected in table
customer, if added in transaction, updated in customer. Any edit on primary tables, delete
add, update, all those changes will be reflected in both tables.
“X” out and save the name
Reports -> Relationships
Remember that if you delete in access, it cannot be reversed!!!
This final exam is worth 25 points and covers concepts from across the course. Compared with
the last exam, this one will utilize constructed responses more. It will contain questions that
address the following conceptual areas:
5 points on concepts covered in the first section of the class (up until the first midterm)
5 points on concepts covered in the second section of the class (from first to second mid-
10 points on concepts covered in the third section of the class (from second mid-term to end
of course)
5 points on big ideas from the class
Questions will be a combination of multiple choice, multiple answer, true/false, fill in the blank,
and constructed responses. Each section of the test, with the exception of the last section will
include all question types. The fourth section covering big ideas will be all constructed response
items. The big ideas will all be constructed response (short essay) questions.
ELMS Discussions
The questions used for the ELMS discussions are models of the kinds of big picture questions
you could be asked in the exam. These questions will help assess how well students have
integrated knowledge of information systems as it relates to real companies and real business
The book featured a number of cases studies of organizations and their use of technology. The
test will likely ask students to discuss some aspects of one or more of the following cases:
• Zara
. Zara store management and staff use mobile devices and POS systems to gather and analyze
customer preference data to plan future designs based on feedback, rather than on hunches and
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