CSE 6040 - Computing for Data Analysis - Syllabus, Exam Preparation, Grade Structure, Homeworks etc.

About this video

• Video Title: CSE 6040 - Computing for Data Analysis - Syllabus, Exam Preparation, Grade Structure, Homeworks etc.
• Channel: Shainu
• Speakers: Shainu
• Duration: 00:09:21

Overview

This video provides a comprehensive guide to the CSE 6040 Computing for Data Analysis course, covering its syllabus, grade structure, homework policies, study materials, and exam preparation strategies. The speaker aims to help students succeed in the course, particularly those new to Python or without a strong computer science background.

Key takeaways

• Course Structure: The video outlines the course content, including an introduction, syllabus details, grade breakdown, homework and office hour information, study materials, and exam preparation tips.
• Grade Breakdown: Homework (notebooks) constitutes 50% of the final grade. There are three optional notebooks that can help improve the grade, and no homework grades are dropped.
• Office Hours: For CSE 6040, office hours are most helpful right before exams, particularly for reviewing Piazza posts and recorded videos. They are not as beneficial for staying ahead on homework due to the content being based on past material.
• Study Materials: Recommended resources include YouTube videos that cover Python from beginner to advanced levels, and specifically a video focusing on Pandas for mid-term 2 and the final exam.
• Exam Preparation: The course has open-web, open-book exams. Success depends on practicing with provided problems and timing oneself to ensure completion within the allocated time (3 hours and 30 minutes). The speaker advises attempting the "additionally" suggested problems before the main suggested problems to gauge preparedness.