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This course will cover the fundamental steps and implementation on developing the initial ideas to formal academic writing accordingly. Students will be given the mechanisms on how to transform and digest the literature reviews that leads to the proposed title.

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🧪 Research Design and Analysis in Data Science (MCSD1043)

📖 Course Synopsis

This course covers the fundamental steps and implementation of developing initial ideas into formal academic writing. Students will learn mechanisms to transform and digest literature reviews leading to a proposed title. The theoretical and practical aspects of drafting a project proposal will be the course milestone, emphasizing ordered, critical, and reasoned exposition of knowledge through student efforts.


📘 Project Handbook


🔥 Important Things

✅ Tasks to Complete Before the First Lecture:

Before attending the first lecture, make sure you've completed all the essential tasks. These include setting up your learning environment, accessing the course materials, and preparing to fully engage in the class from day one. 📝💻

👤 Student Information

📝 Course Information

  • Course Information: Detailed course content, schedules, and requirements for the current semester. 📅

📂 Teaching Modules

🗃️ Assignments

💻 Exercises

  • Exercise: Engage with exercises to complement your coursework and reinforce key concepts.

🧠 GitHub Repository

📝 Additional Resources

🎓 Online Learning

Contribution 🛠️

Please create an Issue for any improvements, suggestions or errors in the content.

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This course will cover the fundamental steps and implementation on developing the initial ideas to formal academic writing accordingly. Students will be given the mechanisms on how to transform and digest the literature reviews that leads to the proposed title.

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