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Analytical Chemistry

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    • An-Najah National University

      Faculty of Science

      Chemistry Department

      Analytical Chemistry

      Course number: 23213

      Instructor name: Dr. Ahmad Abu-Obaid

      Semester and academic year: 2nd semester , 20146– 2017

      Compulsory / Elective: Compulsory

      Prerequisites : General Chemistry (II), 23102

      _______________________________________________

      Course Contents:

      This course deals with the classical quantitative methods of chemical analysis. These include gravimetric and titrimetric methods of analysis. This course also includes methods for evaluation of errors that may occur during a chemical analysis.

       

      Intended learning Outcomes and Competences:

      At the end of this course students should be able to;

      1. Demonstrate an understanding of the role and nature of analytical chemistry.
      2. Calculate the concentration of solutions using different units and explore their properties.
      3. Evaluate analytical data and apply statistics to asses their reliability.
      4. Understand the gravimetric methods of analysis and differentiate between various  factors affecting particle size.
      5. Explore the basis of titrimetric methods of analysis and define the various terms used in titrimetry.
      6. Perform calculations regarding precipitation titrimetry and demonstrate suitable titration curves.
      7. Explain the basic principles of acid - base titrations, and identify the properties of buffer solutions.
      8. Demonstrate an understanding of titration curves for complex acid/base systems and their applications.
      9. Understand the basis of complex - formation titrations and their titration curves.

      Textbook::

      Fundamentals of Analytical Chemistry, Skoog, West, Holler and Crouch, 8th Ed. (2004).

       

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  • Section 1

    Fundamentals of Analytical Chemistry

     

  • Section 2

    Calculation Used in Analytical Chemistry

  • Section 3

    Errors In Chemical Analyses

  • Section 4

    Random Error

  • Section 5

    Statistical Data Treatment  and Evaluation

  • Section 6

  • Section 7

  • Section 8

  • Section 9

  • Section 10

  • Section 11

  • Section 12

  • Section 13

  • Section 14

  • Section 15

  • Section 16

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