Final Quiz - Summer 2021 - Verified Learners ISYE6501x

Course Description An introduction to important and commonly used models in Analytics, as well as aspects of the modeling process. Prerequisites • Probability and statistics • Basic programming proficiency • Linear algebra • Basic calculus • A little background in R can be useful, but isn’t necessary if you’re willing to learn on the fly. Course Goals The most important thing you can learn from this course is not the memorization of any specific bit of material. Instead, I would like you to learn these skills: • Given a business (or other) question, specify the data you will need to solve it, and and will not provide as an answer. to answer it, • Given someone else’s use of analytics to address a specific business (or other) question, Another goal of this course is for you to learn how to think though descriptions and usage of so you can continue to learn throughout your career; new techniques will certainly be developed after you graduate, and we want you to be able to pick them up quickly. or deeper mastery of the modeling needed to set up the use of the technique. You can acquire those deeper levels of knowledge in elective courses. (In fact, we could spend an entire semester on many of the topics you’ll see in the course.) Grading Policy 1. 2. There will be most weeks of the semester. Your two lowest homework grades will be dropped, and the remaining ones will add up to 15% of the These will be peer-graded (based on the median score assigned by your peer graders). You will also need to peer-grade others’ homeworks; you will not receive credit for your homework submission if you do not complete your peer assessments. NOTE: I know that everyone has other obligations – family, work, etc. – that sometimes make it hard or impossible to meet weekly homework deadlines. That is why you are allowed to drop your lowest two homework grades: the drops allow you to not turn in the homework in whatever two week(s) the other obligations in your life might be too time-consuming. (Of course, I hope that you do the homework later to make sure you learn what you’re supposed to know that week, but you can do it on your own time without the pressure of a deadline.) 3. The project will be peer- graded (your score will be the median score assigned by your peer graders). You will also need to peer-grade others' projects; you will receive a grade of zero for your project submission if you do not complete your peer assessments. 4. 5. For Georgia Tech degree and certificate students, quizzes will be scaled to letter grades based on their difficulty, and combined with the homeworks and project to determine an overall letter grade scale at the end of the semester. Audit and Verified/MicroMasters learners must achieve an overall weighted average of 60% to Homework and Quiz Due Dates All homework and quizzes will be due at the times in the table at the end of this syllabus. These times are subject to change so please check back often. Please convert from UTC to your local time zone using a Time Zone Converter. Only Georgia Tech degree and certificate students and Verified/MicroMasters learners will have access to quizzes; quizzes are not available to Audit learners. Timing Policy • The Modules follow a logical sequence that includes knowledge-building and experience-building. • Assignments should be completed by their due dates, in order for timely peer assessment. Peer assessments should also be completed by their due dates, to give timely feedback. • Quizzes must be completed during the time allotted on the schedule. • You will have access to the course content for the scheduled duration of the course. (Georgia Tech degree and certificate students and Verified/MicroMasters learners only; quizzes are not available to Audit learners.)