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.
Stay organized and well-prepared for the course by accessing the essential resources below. These materials will help you navigate the course efficiently and maximize your learning experience.
Ensure you complete all essential tasks before attending the first lecture. These include setting up your learning environment, accessing course materials, and preparing to actively participate in class. 📝💻
Find your personal and academic details relevant to your student profile, including records and participation information.
Get comprehensive details about the course, including learning objectives, syllabus, policies, and requirements for the current semester.
Review the structured week-by-week breakdown of topics, activities, and key deadlines to keep up with the coursework effectively.
A comprehensive guide outlining key methodologies, best practices, and expectations for data science projects.
Access all lecture slides, notes, and other instructional materials that will be used throughout the course.
Access essential documents to guide you through your coursework, including assignment details, submission guidelines, deadlines, and evaluation criteria. Proposal submissions by Batch
📝 Exercise
Access project guidelines, datasets, and collaboration tools for hands-on data science experience.
Explore and contribute to the course’s GitHub repository, where all coding exercises, projects, and collaborative tasks will be managed.
Discover extra reading materials, research papers, and external references to deepen your understanding of the subject.
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