Lectures were proof-heavy, and exams included unexpected questions that required students to read extensively to develop a deeper understanding.
What you’ll be able to do
Recall and state the formal definitions of the mathematical objects and their properties used in complex analysis (e.g., principle branches, conjugates, holomorphic and analytic functions, etc.).
Use such definitions to argue that a mathematical object does or does not have the condition of being a particular type or having a particular property (e.g., that a function is complex differentiable, that an infinite product converges, classification of singularities, etc.).
Recall and state the standard theorems of complex analysis (e.g., Cauchy's Integral formula, the maximum modulus principle, the Riemann mapping Theorem), and recall the arguments for these theorems and the underlying logic of their proofs.
Use such theorems in the context of longer arguments by examining their premises (e.g., computation of real integrals using path integration techniques, computation of residues of meromorphic functions, that a given function has an analytic continuation, etc.).
Prove or disprove statements related to the above definitions, properties, and theorems using techniques of mathematical argument (direct methods, indirect methods, constructing examples and counterexamples, induction, etc.).
Convey arguments in oral and written forms using English and appropriate mathematical terminology, notation and grammar.
Identify applications of course content in current areas of research.
Raw average: 4.55/5 from 11
quality ratings. The adjusted rating blends this with the UW review average
(3.66/5), weighted as 20
additional ratings. Smaller samples stay closer to that average. Each
captured review is counted once in the prior; this does not correct who
chooses to leave a review.
RMP profile ↗ · All captured review dates; profile matched by name.
No course-specific feedback yet.
Historical instructors & teaching patterns
SERGUEI DENISSOV is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future
schedule.
Calendar & sections
Spring 2027
Schedule loads here as you scroll.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
0 / 40
0
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Betsy (Lindsay) Stovall provided an elegant explanation of intricate concepts in this course.
Recent recorded grades — Fall 2023: 3.60 GPA, 85.0% A/AB (n=20 letter grades); Fall 2024: 3.51 GPA, 74.3% A/AB (n=35 letter grades); Fall 2025: 3.32 GPA, 50.0% A/AB (n=30 letter grades).
difficulty & workload
Past student reviews · Betsy (Lindsay) Stovall
Lectures were proof-heavy, and exams included unexpected questions that required students to read extensively to develop a deeper understanding.
Past student reviews · Betsy (Lindsay) Stovall
Betsy (Lindsay) Stovall was accessible outside of class, and students found her office hours to be helpful.
Topics
Elementary functions of a complex variable
Conformal mapping
Complex integrals
Calculus of residues
Standard theorems of complex analysis, including Cauchy's Integral formula, the maximum modulus principle, and the Riemann mapping Theorem.
Skills
Elementary functions of a complex variable, conformal mapping, complex integrals, and the calculus of residues.
Recalling and stating formal definitions of mathematical objects in complex analysis.
Arguing whether mathematical objects possess specific types or properties using definitions.
Using standard theorems in longer arguments, including computing real integrals via path integration and residues of meromorphic functions.
Proving or disproving mathematical statements using direct, indirect, and constructive techniques.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
average GPA
A / AB grades
letter grades
Instructor
Grade distribution · % of letter grades
A36.7%36.7%
AB13.3%13.3%
B36.7%36.7%
BC3.3%3.3%
C10.0%10.0%
D0.0%0.0%
F0.0%0.0%
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 2025 · all course levels
3.323.32GPA
Higher than 1717% of other courses in this group.
Course GPAs · red marks this course’s range
3030letter grades
More recorded grades than 00% of other courses in this group.
Typical course in this group: 70.070.0 letter grades.
About this comparison
1316 courses over the same term, each with at least 30 recorded
letter grades. Cross-listed courses count once. GPA is not a measure
of difficulty or teaching quality. The typical course is the median by
recorded grade count; tied values are not counted as lower. Grade
counts describe course scale, not unique students or typical section
size.
Descriptions compare GPA with this group’s average: at least 0.20
higher or lower; otherwise close to average. Section size uses median
recorded enrollment: small up to 30, mid-sized 31–99, large 100+.
Lectures and discussion/lab sections are described separately.
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.