Course profile
Introduction to optimization
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Course summary
MATH3904 — Introduction to optimization is generally considered a challenging but rewarding course for math majors and those with strong linear algebra backgrounds. Prof Zang is praised for his approachability and clear teaching style. Grading tends to be generous, with many students achieving A grades through diligent study of tutorials and assignments.
Grading is generally seen as generous, with multiple mentions of easy A+ grades even in tough exams due to curve adjustments.
The course has a heavy workload, especially for non-math majors. Students need to complete tutorial exercises and assignments diligently. The final exam can be challenging, but the midterm is usually easier.
Assessment includes a midterm test (45% of grade), a final exam (30-60% of grade), and tutorial assignments (5%). Quizzes are not mentioned.
Prof Zang is highly regarded for his engaging and approachable teaching style. He is known for being available in office hours and providing clear explanations, though some students find the course challenging without a strong linear algebra background.
Diligently complete tutorial exercises and assignments as they are crucial for understanding and performing well on exams. Office hours with Prof Zang can be very helpful.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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