CSE 5543
Transcript Abbreviation:
Geom Modeling
Course Description:
Common algorithmic and mathematical techniques for modeling geometric objects in computer graphics and CAD applications; sample based modeling, mesh generation, and hierarchical representations.
Course Levels:
Undergraduate (1000-5000 level)
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 2568 (568) or 571.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 784.
Course Goals / Objectives:
Master modeling curves and surfaces (B-splines and Bezier)
Master techniques for object creation, manipulation with extrusions, revolutions, lofting
Master techniques to generate meshes from point cloud data and CAD data
Be familiar with hierarchical representations
Be exposed to parameterization techniques
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Curve modeling (B-splines and Bezier) | 5.0 | 0.0 | 0.0 | 0 |
| Subdivision curves | 3.0 | 0.0 | 0.0 | 0 |
| Surface geometry and topology | 3.0 | 0.0 | 0.0 | 0 |
| Surface modeling (B-splines and Bezier) | 4.0 | 0.0 | 0.0 | 0 |
| Subdivision surfaces | 4.0 | 0.0 | 0.0 | 0 |
| B-rep, CSG, Boolean operations | 3.0 | 0.0 | 0.0 | 0 |
| Curve and surface reconstruction | 5.0 | 0.0 | 0.0 | 0 |
| Surface and volume simplification | 5.0 | 0.0 | 0.0 | 0 |
| Mesh generation | 5.0 | 0.0 | 0.0 | 0 |
| Parameterization | 3.0 | 0.0 | 0.0 | 0 |
| Midterm examination, review, discussions | 2.0 | 0.0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Lab assignments | 35% |
| Midterm | 25% |
| Final | 30% |
| Class participation | 10% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Geometric Modeling | Mortenson | |
| Course Notes | Tamal Dey |
ABET-CAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| 2 | Substantial contribution (3-6 hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| 4 | Some contribution (1-2 hours) | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| 6 | Significant contribution (7+ hours) | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 2 | Substantial contribution (3-6 hours) | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| 4 | Some contribution (1-2 hours) | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| 6 | Some contribution (1-2 hours) | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| 7 | Some contribution (1-2 hours) | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)