Ranking the academic challenges and experiences of graduate-level computer science courses from a student's perspective. This collection features advanced modules including Computing and Society 771, which explores the ethical and societal implications of technology, Machine Learning A 742/315, covering fundamental and advanced ML algorithms and applications, and Computational Intelligence 791, diving into evolutionary algorithms, neural networks, and fuzzy systems. Each course brings its own blend of theoretical depth, practical workload, and real-world relevance. Whether you're considering which electives to take, comparing difficulty levels, or simply reflecting on your own academic journey, these rankings offer insights into what makes each module stand out—or fall short—in terms of content quality, teaching effectiveness, and overall student experience.