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📊 GDI.89900 · Digital Innovation Foundations

Professor Ileana Palaco · TA Chilaka Chijioke Reginald

Grading platform · Component weights: A 10% · B 20% · C 20% · D 20% · E 30% = 100%

🗓️ Fall 2026 (Sep–Dec) · Tuesdays · Class time: TBD

📋 Grade Policy — Full course breakdown

This is the fixed evaluation structure (weights and rubrics).

ComponentDescriptionWeightDetailed composition%Notes
AReading, Review & Attendance10%A1 Student Preparation & Reading3.33%Completion and quality of preparation before class
A2 Student Participation & Review3.33%Quality of contribution to class discussion and review
A3 Student Attendance3.33%Computed automatically from the attendance calendar below
BPop-up Quizzes, Team Discussion & Critical Engagement20%B1 Pop-up Quizzes10%Average of quizzes on readings, concepts and discussion
B2 Team Discussion & Critical Engagement10%Individual and team-based discussion activities
CAssignments & Partial Submissions20%C1 Analytical Assignments10%Short assignments applying course concepts and methods
C2 Partial Project Submissions10%Progressive components of the individual project
DMidterm Submission & Review20%D1 Problem–Demand Validation10%Evidence-informed problem and demand analysis
D2 Problem–Demand Validation Reflection10%Reflection on how the admission-stage proposal changed
EFinal Project Presentation & Synthesis30%E1 Requirements & Solution Direction10%Tentative requirements and plausible solution directions
E2 Initial High-Level Solution Architecture10%Technology-neutral functions, capabilities and components
E3 Reflection & ITTP Handoff10%Synthesis of reasoning and handoff to later ITTP stages
TOTAL100%

🏁 Final Grades — Consolidated per student

Each cell is the already-weighted contribution of that component. The last column is the KAIST equivalence. Cells stay Pending until the grades are loaded.

KAIST equivalence (instructor's scale): A+ 95–100 · A0 90–95 · A- 85–90 · B+ 80–85 · B0 75–80 · B- 70–75 · C+ 65–70 · C0 60–65.  Rule: no one receives A+ — anyone landing in the A+ range is adjusted to A0 (4.0).

📂 Full breakdown per student (letter by letter)

📊 Component A — Reading, Review & Attendance (10%)

A total is the average of A1 Preparation & Reading (/100), A2 Participation & Review (/100) and A3 Attendance (/100), then scaled to 10%. A1/A2 are typed directly in docs/data.js; A3 is computed automatically from the attendance calendar below (percentage of recorded classes attended).

📅 Class Attendance Calendar — Fall 2026 (Tuesdays)

Korean holidays Fall 2026: Chuseok Sep 24–26 (Thu–Sat), National Foundation Day Oct 3, Hangeul Day Oct 9 — none fall on a Tuesday, so no class day is cancelled. Final exam period: mid-December (after Wk 16). Class time: TBD.

👥 Attendance by student

📊 Component B — Pop-up Quizzes, Team Discussion & Critical Engagement (20%)

B1 Pop-up Quizzes (10%, average of quizzes /100) + B2 Team Discussion & Critical Engagement (10%, /100). All sub-columns live in docs/data.js.

📝 Component C — Assignments & Partial Submissions (20%)

C1 Analytical Assignments (10%, avg of C1.1, C1.2 /100) + C2 Partial Project Submissions (10%, avg of C2.1–C2.4 /100). All sub-columns live in docs/data.js.

📋 Component D — Midterm Submission & Review (20%)

D1 Problem–Demand Validation (10%, /100) + D2 Problem–Demand Validation Reflection (10%, /100), entered directly as instructor scores in docs/data.js.

📋 Component E — Final Project Presentation & Synthesis (30%)

E1 Requirements & Solution Direction (10%, /100) + E2 Initial High-Level Solution Architecture (10%, /100) + E3 Reflection & ITTP Handoff (10%, /100), entered directly as instructor scores in docs/data.js.