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Reviewers describe weekly cycles of textbook reading, video lectures, participation activities, problem sets, and quizzes. Assessments include multiple midterms and a final exam, with some professors dropping one midterm or offering open-note exams.[1, 2, +3]

The course features tough exams and extensive material. Johnson covers more content than others, while Chan provides manageable weekly quizzes and homework, though her tests require significant studying.[1, 2, +7]

The course requires significant effort, including weekly quizzes, biweekly problem sets, and extensive daily reading. Students must be prepared for a heavy workload and self-teaching to succeed in the difficult material.[1, 2, 3]

The course begins with algebra and calculus, becoming progressively harder as economic concepts are integrated, requiring serious effort to succeed on exams.[1, 2, 3]

Problem sets are time-consuming and difficult, often requiring office hours. Exams are heavy, with tests challenging and requiring significant study time beyond lectures.[1, 2, +3]

Eudey’s homework is manageable and exams are similar to practice materials, though one student found exams harder. Alder’s homework and exams are described as super hard and chain-linked, requiring significant self-teaching from the textbook as lectures do not prepare students for the tests.[1, 2, +7]

The course is described as hard, with difficult midterms and finals. Workload includes weekly homework via MindTap or Aplia, which some find time-consuming. One review notes that exams can be harder than practice problems.[1, 2, +3]

Exams are described as wacky, non-standard, and significantly harder than homework, with little practice material provided to gauge preparation.[1, 2, 3]

The workload is manageable, consisting of a few homework assignments, a final project, and a take-home exam.[1, 2]

Reviews indicate a moderate difficulty level, with no specific complaints about excessive workload or preparation requirements mentioned in the available feedback.[1, 2]

Historical reviews of Elizabeth Kelly, Rasmus Lentz, Stella Chan: Workload and difficulty fluctuate significantly across teaching terms. Some students found homework extremely difficult with few examples, while others noted heavy mid-semester workloads or required pre-class reading responses.[1, 2, 3]

The course features reasonable problem sets and challenging exams. While tests are considered tricky or hard, reviewers find them fair and note that they are curved.[1, 2, 3]

Some students find Yata's lectures confusing and recommend skipping them to study independently using textbooks and past papers.[1, 2, 3]

The course is difficult, with homework that is essential for exam success. Workload varies, with some noting minimal homework but a demanding 10-page term paper.[1, 2, 3]

Historical reviews of Jesse Gregory, Rebecca Glawtschew: Workload varies by instructor; Jesse Gregory assigned six homeworks, two midterms, and a final, while Rebecca Glawtschew assigns weekly problem sets and chapter-specific practice problems to prepare for tests.[1, 2, +2]

The course requires at least five hours weekly for dense reading, which students find difficult to keep up with. Homework is considered easy, but the final exam focuses heavily on definitions rather than calculations.[1, 2, 3]

Students report significant weekly reading and writing requirements, including four-page case analyses and a major final paper. Some reviewers characterize the workload as heavy and the final project as the most challenging aspect of the course.[1, 2]

Historical reviews of Bruce Hansen: A reviewer reports that Professor Hansen grades leniently and gives easy exams, while another notes applied work with time-series data.[1, 2]

Historical reviews describe tests as tough but fair, requiring attendance and study to achieve high grades, with homework and exams being very fair.[1, 2, 3]

Historical reviews of Jean-Francois Houde, Rasmus Lentz: Reviewers report that homework is impossible with no guiding examples, and exams or problem sets are incredibly difficult. Preparation requires navigating messy board notes and a lack of practice problems that relate to assessments.[1, 2]

The course involves significant mathematical content, including differential equations. Homework assignments are time-intensive, requiring 6 to 10 hours per assignment, and exams are described as hard.[1, 2, 3]

The course features difficult homework and confusing problem sets that are harder than the exams. Lectures are fast and complex, requiring significant effort to grasp the material.[1, 2]

Historical reviews of Daniel Quint, Fran Flanagan: Homework is typically easy and straightforward, but midterms can be challenging. Exams are generally fair, though some students find assignments tricky.[1, 2, +4]

John Brauer's course involves significant Python coding for econometrics, which reviewers find difficult without prior CS or econometrics background, though one Data Science student found it easy.[1, 2]