About this video

• Video Title: ISYE 6501 - Intro to Analytics Modeling - Syllabus, Exam Preparation, Grade Structure, Homeworks etc
• Channel: Shainu
• Speakers: Shainu
• Duration: 00:14:57

Overview

This video provides a comprehensive overview of the ISYE 6501 Introduction to Analytics Modeling course, covering its syllabus, grading structure, class and course organization, and available resources. The speaker shares personal experiences and offers tips for exam preparation, homework, and navigating the course content.

Key takeaways

• Course Structure: The course consists of homework (15%), exams (75%), extra credit (2% via a syllabus quiz), and a course project (remaining percentage).
• Homework: Assignments are based on weekly video content and require coding in R. Attending office hours is highly recommended for assistance.
• Exams: There are three exams (Midterm 1, Midterm 2, Final), each worth 25% of the final grade. Exams are described as challenging and tricky, emphasizing the need for a deep understanding of the fundamental models.
• Prerequisites: A basic understanding of linear algebra, statistics, and probability is beneficial due to the course's reliance on these concepts and its use of specialized terminology.
• Resources: Key resources include EdX for lectures and exams, office hours (Monday and Thursday), Slack and Reddit for peer interaction, and Piazza for direct interaction with TAs and the instructor. The YouTube channel "StatQuest" is recommended for clarifying concepts.
• Exam Preparation: While a cheat sheet is allowed, it's not a substitute for understanding the material. Focus on comprehending when to apply specific models to different scenarios. Reading lecture transcripts after watching videos is also advised.
• Workload Recommendation: For working professionals, it's recommended to take this course individually as it can be demanding. It's also suggested as a potential first course in the program due to its foundational nature.

The course includes three exams: Midterm 1, Midterm 2, and a Final Exam. Each exam accounts for 25% of the total grade, making exams collectively worth 75% of the course grade. The speaker emphasizes that the exams are the most challenging part of the course and are designed to be tricky, often presenting case scenarios that require students to determine the appropriate model to use. A cheat sheet is permitted for the exams, but it's recommended to focus on understanding the concepts rather than memorizing equations or code, as the exams test application and understanding in various scenarios.