Got a B+. I can say that Landgraf is, by far, the worst professor I have had during my time at UVA.
Lectures: Her lectures, whilst organized, are bland and hard to understand. I can't blame her for an accent, nor am I. However, her examples are boring, and she does not repeat key concepts. You are required to participate. However, she tends to call on the same students repeatedly, making it hard to earn a top grade. Several friends of mine said they felt targeted and were unable to be a top participant despite their best efforts. I recognize this is a quantitative class, but she dismissed qualitative answers or factors when discussing cases, which are integral to business. Even my IT professors don't do that.
Coding: Her methods of teaching R are among the worst things about this class, and the worst coding teachings I have been part of since middle school, when I had 3 teachers in 3 months. It is unclear, too fast, and unengaging. The difficulty to follow is off the charts. Moreover, they let us ask LLMs for code, so I am not sure why they spent so much time learning R in the first place. Overall, the structure and execution of Landgraf's teaching of R were horrific.
Reading cases: This was actually enjoyable. She chose good cases to read.
Individual Homework: Terrible. She assigned complex homework but did not allow help from TAs or Professors and said that working together on it was a violation of the Honor code. I don't know how that helps one learn. When it came to grading, it was inconsistent among peers, with some getting 95%+ for work that was inferior to that of those who got 60s, 70s, and 80s.
Group projects: She graded these too harshly and communicated her standards poorly. Her expectations were vague, and there were no examples, rubrics, or anything else to guide our work. Our group received criticism for going too deep in some areas and too narrowly in others. Because the standard was not communicated in any way, it is overly difficult to meet.
COMM 2004
Foundations of Quantitative Analysis for Business Decision-Making
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1 Review
Instructor
1.0
Enjoyability
1.0
Recommend
1.0
Difficulty
4.0
Hours/Week
11.0
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