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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: 2026-07-03

Week Date Topics Hours Reading CheatSheet Remarks Assessment Mark
1 2025-10-06 1.1 Introduction to Basic Features of R Programming, 1.2 Logical vectors and relational operators 4 Notes Base R Installation of RStudio Desktop, Signup for Posit Cloud, Google Colab, and Kaggle
2 2025-10-13 1.3 Extracting elements from vector, 1.4 Data Frames and List 4 Notes Base R Focus more on for{} loop and If-else statement
3 2025-10-20 2.1 Flow control, Introduction to Function 4 Notes Base R 1. Create a function to automate data preprocessing (e.g., Missing value detection, etc.)
4 2025-10-27 Introduction to Function, Packages, libraries, and Repositories 4 Notes Base R 2. R-project website, Bioconductor, and GitHub
5 2025-11-03 Importing data into R 4 Notes readr Focus on Histogram, Scatter diagram, Bar chart, Box plot, and Line chart
6 2025-11-10 Programming Statistical Graphics- Base 4 Notes Base::Graph Advanced visualization techniques and interactive plots
7 2025-11-17 MID SEMESTER BREAK
8 2025-11-24 Programming Statistical Graphics - ggplot2 4 Notes ggplot2 Data cleaning and preprocessing techniques Quiz 15%
9 2025-12-01 Data Cleaning and Filtering 4 Notes ggplot2 Data transformation and manipulation
10 2025-12-08 Data Cleaning and Filtering 4 Notes tidyr Statistical analysis fundamentals
11 2025-12-15 Basic Statistical Analysis 4 Notes dplyr Hypothesis testing and confidence intervals
12 2025-12-22 Basic Statistical Analysis 4 Notes stats Regression analysis and correlation
13 2025-12-29 SPECIAL BREAK
14 2026-01-05 Basic Statistical Analysis 4 Notes Advanced statistical modeling
15 2026-01-12 Basic Statistical Analysis 4 Notes stats Project preparation and presentation skills Test 30%
16 2026-01-19 Basic Statistical Analysis 4 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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