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Dibs Fall 2026

MAT SCI 33W

Materials Structure and Technology in Archaeology and Architecture

(Formerly numbered 33.) Seminar, three hours; laboratory, two hours; discussion, one hour; outside study, nine hours. Requisite: English Composition 3. Exploration of three classes of materials and composites, and relationships that exist between structural elements of materials and their properties: vitreous materials, building material binders, and pigments and colorants. Through study of ancient materials and technology in archaeology and architecture, exploration of relationships among processing, structure, properties, and performance for: vitreous materials--ceramics, frits, and glass; building material binders--aerial lime-based mortars, natural and artificial hydraulic lime/cements and concretes; and pigments and colorants (natural and synthetic organic, inorganic, and organic/inorganic hybrids). Through reverse engineering processing, exploration of ancient engineering materials (their micro/nano structure and physical, chemical, and mechanical properties), and their durability and sustainability as time-proven examples of technology innovation and/or invention. Letter grading.

Course statistics

Predicted GPA
3.76
n = 113 · 4 terms · ± 0.049
A range
82%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
0.0%
incl. withdrawals

Sections in Fall 2026

Not offered in Fall 2026.

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 2822S
  • 3422F
  • 3523F
  • 1824F
Enrolment by term: 22S 28, 22F 34, 23F 35, 24F 18
Peak 35 Most recent 18 in 24F 4 terms on record

Grade distribution

  • A+ 49 · 42.6%
  • A 27 · 23.5%
  • A- 17 · 14.8%
  • B+ 8 · 7.0%
  • B 7 · 6.1%
  • B- 4 · 3.5%
  • C+ 1 · 0.9%
  • I 2 · 1.7%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Instructor Predicted Raw n Terms A range
KAKOULLI, IOANNA 3.78 3.78 113 4 82%

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.

By term