Fall 2026

Principles of Landscape Architecture Design and Graphics

Covers basic principles of landscape design and graphic communication media.

offering recorded4 credits
Recorded instructors · Fall 2026 CHRISTOPHER SinaEunbi KoWenwen Cheng

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.69 GPA, 90.3% A/AB (n=31 letter grades); Fall 2024: 3.59 GPA, 88.9% A/AB (n=27 letter grades); Fall 2025: 3.73 GPA, 95.0% A/AB (n=20 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Landscape Architecture BLA

  • Declared in Landscape Architecture BLA
LANDARC 261 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Declared in Landscape Architecture BLA

Professors

Fall 2026

Recent recorded grades — Fall 2023: 3.69 GPA, 90.3% A/AB (n=31 letter grades); Fall 2024: 3.59 GPA, 88.9% A/AB (n=27 letter grades); Fall 2025: 3.73 GPA, 95.0% A/AB (n=20 letter grades). Includes jointly taught sections.

No course-specific feedback yet.

Recent recorded grades — Fall 2023: 3.69 GPA, 90.3% A/AB (n=31 letter grades); Fall 2025: 3.73 GPA, 95.0% A/AB (n=20 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

CHRISTOPHER SINA is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

WENWEN CHENG is recorded teaching in Fall 2023, Fall 2025. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 002Classroom Instruction16 / 330

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Fall 2023: 3.69 GPA, 90.3% A/AB (n=31 letter grades); Fall 2024: 3.59 GPA, 88.9% A/AB (n=27 letter grades); Fall 2025: 3.73 GPA, 95.0% A/AB (n=20 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Landscape design
  • Graphic communication media

Skills

  • Practical graphic skills
  • Individual design approaches and capacities

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

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.

Selected offering source records
LANDARC 261 · Fall 2026

Principles of Landscape Architecture Design and Graphics

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:520:010841",
    "course_id": "LANDARC 261",
    "course_uid": "course_472e3bbdbda0a8651b7a58d5",
    "term_id": "1272",
    "source_course_id": "010841",
    "source_subject_id": "520",
    "title": "Principles of Landscape Architecture Design and Graphics",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "a23ceba8d73049a36b76d63c38abe26114625a57c6198cb686d3ecd870d3ce05",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}