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CS 66353 credit hours

Scientific Visualization

Methods to visualize scientific data sets: scalar/vector/tensor fields, isosurfaces, volume rendering, and large-data techniques.

Computational Perception & Robotics · electivevisualizationOpenGL

Distributions

Difficulty
2.8of 5
n = 6
0
2
3
1
0
1
2
3
4
5
Weekly workload
15.5hrs/wk
n = 6
0
1
0
4
1
0
0
0
<5
5–9
10–14
15–19
20–24
25–29
30–34
35+
Overall rating
3.8of 5
n = 6
0
0
2
3
1
1★
2★
3★
4★
5★

Logistics

Terms offered
Fall
Spring
Summer
Prerequisites
None listed.
Counts toward
  • Computational Perception & Roboticselective

Reviews (6)

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6 of 6
  1. 3 / 5
    Difficulty2/5Workload5 hr/wkRecommendYes

    Project-driven course. Most of the 5 hrs/wk go to assignments rather than lectures.

  2. 4 / 5
    Difficulty2/5Workload18 hr/wkRecommendYes

    Honest review: manageable class, moderate workload. Loved great auto-grader feedback. Hated project scope creep mid-semester.

  3. 3 / 5
    Difficulty3/5Workload19 hr/wkRecommendYes

    Project-driven course. Most of the 19 hrs/wk go to assignments rather than lectures.

  4. 4 / 5
    Difficulty3/5Workload21 hr/wkRecommendYes

    Project-driven course. Most of the 21 hrs/wk go to assignments rather than lectures.

  5. 5 / 5
    Difficulty3/5Workload15 hr/wkRecommendYes

    Would I take it again? Yes. The course rewards consistent weekly effort.

  6. 4 / 5
    Difficulty4/5Workload15 hr/wkRecommendYes

    hard pace, moderate hours weekly. Coming in I had no recent academic study. Glad I stuck with it.