MGQ 606—Statistical Foundations of Analytics

The professor spent most lectures rambling through slides that appeared to be taken directly from the Pearson textbook, with little added explanation or engagement beyond reading off the material. As a result, lectures felt unstructured and provided minimal value beyond what students could have learned on their own. Exam averages for both sections consistently fell in the 50–60% range, which reflects not only the difficulty of the assessments but also a lack of effective instruction and alignment between lectures and exams. Grading for assignments and tests took an excessive amount of time, and feedback was minimal or nonexistent, making it difficult for students to understand their mistakes or improve. Final grades were not visible until the very last day they were released, leaving students in the dark and unable to gauge their standing throughout the semester. While a large curve was ultimately applied to grades, it felt like a last-minute fix rather than a meaningful solution to the underlying issues. Overall, the course felt like a poor use of tuition, and many students left the class feeling that they had not truly learned or gained practical understanding of the material.

Do not take a course with Ramesh if you can choose another professor. He talks non stop for the entire lecture, the class averages for exams were consistently between 50-60%. This course literally just went over undergrad stats concepts, and then he creates exams that are uninterpretable and unrelated to course content. A big curve is just slapped on at the end of the year so you won't fail.