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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: 2025-10-06

Week Date Topics Hours Reading CheatSheet Remarks Assessment Mark
1 2025-10-06 Lab/Discussion on 1.2 3 Notes Base R Installation of RStudio Desktop, Signup for Posit Cloud, Google Colab, and Kaggle
2 2025-10-13 Lab/Discussion on 1.3 and 1.4 3 Notes Base R Focus more on for{} loop and If-else statement
3 2025-10-20 Lab/Discussion on 2.1 and 2.2 3 Notes Base R 1. Create a function to automate data preprocessing (e.g., Missing value detection, etc.)
4 2025-10-27 Lab/Discussion on 2.2 and 2.3 3 Notes Base R 2. R-project website, Bioconductor, and GitHub
5 2025-11-03 Lab/Discussion on 3.1, 3.2, 3.3, and 3.4 3 Notes readr Focus on Histogram, Scatter diagram, Bar chart, Box plot, and Line chart
6 2025-11-10 Lab/Discussion on 3.5, 3.6, and 3.7 3 Notes Base::Graph Advanced visualization techniques and interactive plots
7 2025-11-17 MID SEMESTER BREAK
8 2025-11-24 Lab/Discussion on 4.1 and 4.2 3 Notes ggplot2 Data cleaning and preprocessing techniques Quiz 15%
9 2025-12-01 Lab/Discussion on 4.3 and 4.4 3 Notes ggplot2 Data transformation and manipulation
10 2025-12-08 Lab/Discussion on 5.1 and 5.2 3 Notes tidyr Statistical analysis fundamentals
11 2025-12-15 Lab/Discussion on 5.3 and 5.4 3 Notes dplyr Hypothesis testing and confidence intervals
12 2025-12-22 Lab/Discussion on 6.1 and 6.2 3 Notes stats Regression analysis and correlation
13 2025-12-29 SPECIAL BREAK
14 2026-01-05 Lab/Discussion on 6.3 and 6.4 3 Notes Advanced statistical modeling
15 2026-01-12 Lab/Discussion on 7.1 and 7.2 3 Notes stats Project preparation and presentation skills Test 30%
16 2026-01-19 Lab/Discussion on 7.3 and 7.4 3 Notes stats Final project presentation and report submission Presentation & Report 25% & 30%
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A work by Suriyati Ujang

suriyatiujang@uitm.edu.my

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