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IE 451 Data Analytics and Optimization

Fall 2026-2027 · 3 SU credits · 6 ECTS · Undergraduate

Not in the Spring 2026-2027 schedule — this is the most recent term it ran.

Introduction to data analytics and information visualization; methods and metrics for validation; bias-variance trade- off; data visualization and understanding; data preprocessing; supervised learning (classification and regression); unsupervised learning; association rule mining; feature subset selection; metaheuristics; PCA; ANN and Multilayer Perceptron.

Needs first MATH 306

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Lecture — IE 451

SectionWhenWhereInstructorCRN
0 Tue 16:40–17:30
Wed 08:40–10:30		 FENS G035 Erhun Kundakcıoğlu 13528 syllabus

IE 451 — Sabancı Üniversitesi Fall 2026-2027 ders programı: section'lar, saatler, derslikler, CRN'ler ve syllabus bağlantıları.