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ANNOUNCEMENTS

ANNOUNCEMENTS. Drop in tutor hours: M-Tu-W-Th 4-10pm, Baskin 379 Homework due Monday at end of class. Stapled, name of student and name of TA and section you attend. ANNOUNCEMENTS. SECTIONS CHANGE OF TIMES/LOCATION M/W 8-9:50am section with Wenyi moved to M/W 4-5:50 in Baskin 360.

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ANNOUNCEMENTS

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  1. ANNOUNCEMENTS Drop in tutor hours: M-Tu-W-Th 4-10pm, Baskin 379 Homework due Monday at end of class. Stapled, name of student and name of TA and section you attend.

  2. ANNOUNCEMENTS SECTIONS CHANGE OF TIMES/LOCATION M/W 8-9:50am section with Wenyi moved to M/W 4-5:50 in Baskin 360. Tu/Th 8-9:50am section with Deboja moved to M/W 6-7:50 in Baskin 295 M/W 5-6:50pm section with Shubhra moved by 10 minutes to M/W 5:10-7:00pm

  3. Chapter IIfunctions and variables

  4. II.1 the concept of variables II.1.1 introduction the ultimate scientific aim is to understand causal links between events: WHY ? or HOW ?

  5. methods used to achieve that aim: • measurement • analysis • modeling • prediction • control

  6. measurement & analysis • all experiments/measurements provides data • human brain specifically designed to process images efficiently  analysis usually involves graphic representation of data.

  7. examples one quantity measured as a function of another

  8. examples one quantity measured as a function of another

  9. examples two quantities measured as a function of another

  10. examples one quantity measured as a function of two others

  11. examples one quantity measured as a function of two others

  12. examples one quantity measured as a function of two others

  13. examples one quantity measured as a function of three others

  14. Examples one quantity measured as a function of three others

  15. modeling to model and study complex problems one needs a rigorous mathematical framework

  16. II.1.2 definitions • independent variables: control parameters, the quantities that can be varied at will. • dependent variables: the quantities that change as a consequence of the independent variable being varied.

  17. but sometimes it’s all relative!

  18. II.2 Graphing 2 possible scales: linear and logarithmic II.2.1 the linear scale • use it when the variable has small range • the interval [a,b] has the same length as the interval [a+c,b+c]

  19. II.2.1 the logarithmic scale • use it when the variable has large range • the interval [a,b] has the same length as the interval [a x c, b x c]

  20. 3 example types of plots • linear - linear

  21. 3 example types of plots • log - linear

  22. 3 example types of plots • log - log

  23. II.3 Functions

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