Advanced Visual Communication in Landscape Architecture
Advanced visual communication in landscape architecture covering symbolic computer graphics, hand and digital media, CAD drafting, 2D/3D modeling, rendering, and video production for design communication.
Summary
Recent recorded grades — Fall 2023: 3.75 GPA, 83.3% A/AB (n=12 letter grades); Fall 2024: 3.61 GPA, 80.6% A/AB (n=31 letter grades); Fall 2025: 3.25 GPA, 54.2% A/AB (n=24 letter grades).
What you’ll be able to do
Apply graphic software programs throughout each stage of the design process.
Transform design concepts into precise technical drawings and graphical representations.
Analyze the interrelationships among various graphic software programs within digital workflows, proficiently managing the import and export of design data during transitions.
Evaluate industry best practices and innovate by creating more effective and personalized processes, either alongside or in departure from traditional drafting and graphic production tools.
Apply fundamental techniques in drafting, plotting, rendering, and documentation using digital graphic software. Apply advanced composition skills in written,visual, and oral communication to clearly and impactfully deliver design and planning concepts to a diverse audience.
Develop originality through proficient digital drafting and rendering skills, creating unique works while effectively conveying ideas through visual, written, and oral communication.
Explore fundamental visual communication principles through exercising one's graphic capabilities, practicing industry-standard visual communication protocols, and cultivating self-learning abilities.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapLAND ARC 261
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 3.75 GPA, 83.3% A/AB (n=12 letter grades); Fall 2024: 3.61 GPA, 80.6% A/AB (n=31 letter grades); Fall 2025: 3.25 GPA, 54.2% A/AB (n=24 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Symbolic and representational computer graphics in landscape architecture
- Strengths and weaknesses of hand versus digital media
- Advanced hand sketching, digital photography, color theory, rendering, image processing, CAD drafting, 2D/3D modeling, compositing, media formats, and video
Skills
- Applying graphic software programs throughout the design process
- Transforming design concepts into precise technical drawings and graphical representations
- Managing import and export of design data across graphic software workflows
- Drafting, plotting, rendering, and documenting using digital graphic software
- Conveying design ideas through visual, written, and oral communication
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
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
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Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "c0ba005575f9d598b11ae7b3285aefb3c0b0bdc1150593a71eecacbc8c8d28b9",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}