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Lowest historical GPA first. At least 100 letter grades over the five years through the
selected term. Grades reflect past outcomes, not workload or a guaranteed result.
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27 courses
Historical grades cover up to five years through the selected term. Only courses with at least 100 letter grades are ranked.
GENBUS 310 introduces non-business majors to basic accounting, finance, and business law concepts within the market enterprise system.
Offering recorded · Fall 2026
The course is consistently described as difficult, with exams carrying heavy weight and often feeling disconnected from the provided readings. Success requires dedicated study time, as preparation materials are sometimes viewed as easier than the actual assessments.
GENBUS 301 covers the history of legal development and key areas of business law including contracts, agency, sale of goods, and insurance.
Offering recorded · Fall 2026
Historical reviews of Bruce Harms: Exams are demanding and require memorization and a good grasp of the material. Reviewers suggest studying cases and past essays to succeed.
Business Analytics I teaches quantitative intuition, database visualization, probability, hypothesis testing, regression, and simulation for business decision-making.
Offering recorded · Fall 2026
The course features difficult exams and time-consuming Excel case reports. Students emphasize attending lectures and completing practice problems early to prepare for assessments.
Business Analytics II focuses on predictive and prescriptive analytics using modeling and optimization tools.
Offering recorded · Fall 2026
The class is tough with fast-paced material. Students must practice Excel skills and complete participation activities independently. Reviewers disagree on the final exam's impact, calling it easy or insufficient for top grades.
GENBUS 311 provides a high-level introduction to business concepts including management, marketing, strategy, and ethics for non-business majors.
Offering recorded · Fall 2026
Historical reviews of James Windsor, Milt Hwang: Workload includes weekly discussion posts and textbook readings. Exams are open-note, with students reporting that understanding basic concepts is sufficient to succeed.
GENBUS 317 teaches statistical inference and model-based analysis for business analytics, covering estimation, hypothesis testing, regression, and time series.
GENBUS 250 examines the interplay of firms, government, and civil society in capitalism, addressing inequality and environmental degradation while exploring how to foster prosperous societies and planetary health.
GENBUS 360 teaches workplace writing and communication skills, including audience analysis, professional research, and presentation preparation.
Offering recorded · Fall 2026
Students report an excessive volume of weekly assignments, including tedious papers and group projects, often requiring 9-12 hours of work per week. Many describe the tasks as pointless busy work with convoluted instructions that demand disproportionate effort.
HUMAN-CENTERED DESIGN AND BUSINESS teaches an iterative design thinking process for creating innovative solutions by balancing user desirability, technical feasibility, and business viability.
GENBUS 308 teaches students to apply statistics and data literacy to business problems using cloud-based analytics and AI tools.
Offering recorded · Fall 2026
Reviewers generally characterize the course as easy, though one notes grades rely on unpredictable quizzes with unmentioned material. Others highlight the workload involves practical coding and machine learning models.
GENBUS 110 introduces new business students to academic planning, career development, and personal foundations including leadership and diversity.
Offering recorded · Fall 2026
Historical reviews of Michael Hernke: Michael Hernke's course was rated as moderately difficult, though the primary complaint focused on resource quality rather than workload volume.
Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.