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This syllabus represents my current plans and objectives. As we go through the semester, those plans may need to change to enhance the class learning opportunity. Such changes will be communicated clearly both on the website and in class.

Scheme of work

Last compiled: 2023-11-20

Week Date Chapter Reading CheatSheet Assessment Mark
1 2023-10-02 Introduction to R language Notes Base R
2 2023-10-09 Notes
3 2023-10-16 Programming with R Notes
4 2023-10-23 Notes
5 2023-10-30 Importing data into R Notes readr
6 2023-11-06 Programming statistical graphics Notes Base::Graph
7 2023-11-13 MID SEMESTER BREAK
8 2023-11-20 Notes ggplot2 Quiz 15%
9 2023-11-27 Data Cleaning and filtering Notes
10 2023-12-04 Notes tidyr
11 2023-12-11 Basic Statistical Analysis Notes dplyr
12 2023-12-18 Notes stats
13 2023-12-25 SPECIAL BREAK
14 2024-01-01 Notes
15 2024-01-08 Notes Test 30%
16 2024-01-15 Notes Presentation & Report 25% & 30%
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A work by Suriyati Ujang

suriyatiujang@uitm.edu.my