The document analyzes time usage data from three university students - Ting, Roland, and Lino - and makes recommendations to help improve time management. It finds that Ting spends the most time on leisure activities like socializing and games, while Roland spends the most time on work and studies but also the most time on television. The document recommends that all students turn off the television and computer to avoid distractions, and that Ting and Roland limit unnecessary activities and eating to stay focused. It also discusses the differences between using a spreadsheet versus database to track and analyze activity data.

1. By Ting Chang Roland Song Lino Bin

2. University is about self control Most people find themselves wasting to much time Building Time managing skills are important !!! Analyzing your activities can save you Time

3. Ting Chang Taiwanese (Asian) Age 27 9 th Year Uni Roland Song Chinese (Asian) Age 18 First year uni Lino Bin Australian Age 18 First year uni

6. 1% is approx = 3 Hours

7. Study/Assignment Time Home University Total Ting 23 hours 4.5 hours 27.5 Hours Roland 1 Hour 31.5 hours 32.5 Hours Lino 0 Hour 16 Hours 16 Hours

8. Amount of Sleep (Hours) Ting Roland Lino 123.5 125 137 8.8hr/Day 8.9hr/Day 9.8hr/Day

9. Ting Roland Lino Games 21.5 26 10 T.V 1 16.5 22 Socializing 0 20.5 0 Sports 16 6 1 Others 21.45 8 10 Total 59.95 77 43

10. Ting Roland Lino Work 29 11 42 Study 27.5 31.5 16 Leisure 59.95 77 43 Total 116.45 119.5 101

11. Turn off the TV, shut down the computer, and complete whatever task you are delaying. (All) Avoid unnecessary meetings. (Roland) Limit grocery shopping to once a week. (Ting) Eat light, especially lunch. This will ensure that you don't get sleepy in the afternoon (Ting)

13. It is argued that students who have no more than 10 hours ofpaid work a week are more effective than students who do notwork or work longer hours.

15. Spreadsheets: Analyze data and sort list items Statistical data modelling Computing data Graphing funtions Short term storage of raw data Databases: No duplication of data between information tables Store a large amounts of data Best program for our data? Spreadsheet

16. Relational database and Spreadsheet spreadsheet displays data, database stores data spreadsheet data is easier to manipulate Spreadsheet does not need constraints Database have limitations because of constraints, spreadsheet data can be freely changed Spreadsheet leans towards visuals, database leans towards tables and applications

17. spreadsheet displays data, database stores data a spreadsheet is a simple lists designed to display data, relational databases are a collection of tables of related data Spreadsheet: ActivtyTypes(Class attendance, Uni) ActivityLog(Roland, Class attendance,2008-09-09 10:00, 2008-09-09 12:00) Relational database: Category Student Activity Date Time Duration Uni Roland Class attendance 9/9/2008 10am 2

18. spreadsheet does not contain as much data making them easier to manipulate Relational databases are more complex as they have more data Spreadsheet data is easier to manipulate Spreadsheet does not need constraints Spreadsheet does not require constraints in order to work Relational databases requires constraints to organise and store data Database constraints are easily noticeable ActivtyTypes(Class attendance, Uni) ActivityLog(Roland, Class attendance,2008-09-09 10:00, 2008-09-09 12:00) Constraints If a spreadsheet does contain constraints, they are “hidden”

19. Data can only be entered into database if its considered “a legal operation” Limitations are caused by constraints Spreadsheet data without constraints can be changed freely Database have limitations because of constraints, spreadsheet data can be freely changed Spreadsheet leans towards visuals, database leans towards tables and applications Spreadsheet can be turned into visuals such as: Charts Graphics animations Relational databases are used in: Database applications tables forms

20. Conclusion For such a data that we have used, a spreadsheet approach is better many factors contribute to how we all spend our time Age difference Work Social connectivity