2.2.2 Databases and spreadsheets

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These are the "number crunchers" - application programs that can store,
process and summarize large amounts of data for financial, scientific,
military or administrative purposes.
1. What is a spreadsheet?
o ICT for GCSE section 10.1 Using a spreadsheet
2. Spreadsheet design and creation: cells; rows and columns;
workbooks, worksheets and templates, cell format (number, text,
values, formulas, functions, calculation, date, currency); replication.
o ICT for GCSE sections 10.1 Using a spreadsheet and 10.2
Calculations with a purpose
o ICT for GCSE section 10.5 Things to do with spreadsheets, tasks
1 and 2
3. Advanced spreadsheet design: absolute and relative cell referencing;
cell ranges and labels; macros.
o Computer Confluence p.196-9
o ICT for GCSE section 10.5 Things to do with spreadsheets, task 3
o Practical task 3: Cash flow forecast (p. 22-26 of Practical Pack 1)
4. What if? questions
o Computer Confluence p.200
5. Accessing spreadsheet data - sorting (ascending and descending) and
searching (filtering) using the Boolean (logical) operators (AND, OR,
NOT)
6. Presenting spreadsheet data: selecting print and display area and use
of appropriate graphs or charts
o Computer Confluence p. 200-1
o ICT for GCSE section 10.4 Presenting numbers graphically
7. Special purpose spreadsheets e.g. inventory, budget
8. What is a database?
9. Paper versus electronic files
o what are our rights as individuals over the storage of our personal
data? 1 - 2 - 3 - 4
10.
Designing databases: fields, key field, records, sorts, searches
(filters) using Boolean (logical) operators (AND, OR, NOT) and queries
11.
Data transfer between a database and a spreadsheet (import and
export)
12.
Database presentation in forms and reports
13.
Mail merge
14.
Database management systems (DBMS)
15.
Flat file versus relational databases
16.
Updating data, data redundancy and data integrity
what are the consequences of outdated or incorrect data stored
on databases?
o who is responsible for the data stored in databases (the
developer, the manager, the user)? 1 - 2
o who is accountable for any negative effects of insecure
databases?
17.
Data mining and data matching
o The value of data matching - Police work video
o What is privacy? 1
o So what if sensitive data is accidentally released from databases?
o Do different cultures put different values on the privacy of data
and how do the laws on access and use of data vary between
countries?
o Who can collect personal data and who can use them? 1
o Should they be allowed to sell our personal data? 1 - 2 - 3
18.
Special purpose databases e.g. personal information managers,
encyclopaedias, library systems, GIS's
o
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