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Historical snapshot — AY2025/2026 Semester 1 · View current offering →
ModsCS2400AY2025/2026 Semester 1

Foundation Of Information Analytics

AY2025/2026 Semester 1

Learning Objective This course will introduce you to the statistical foundations of data science and information analytics for handling of massive databases. The course covers the statistical concepts required for big data analytics, and introduces you to statistical tests and statistical modeling. Content Importance of Statistics; Descriptive Statistics; Probability; Counting Techniques; Discrete Probability Distributions; Normal Distribution; Confidence Intervals; Hypotheses Testing for one Population; Hypotheses Testing for two Populations; Correlation and Linear Regression; Non-linear Regression; Application of Statistics to Data Analytics

AUs3.0 AUs
CategoriesCoreMinorsBDE
Mutually Exclusive WithCS4036
Exam

Available Indexes

MonTueWedThuFri
1430

06059 TUT (T1)

1430-1520 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

06059 TUT (T1)

1430-1520 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

1500
1530

06060 TUT (T2)

1530-1620 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

06060 TUT (T2)

1530-1620 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

1600
1630

COMMON LEC (LE)

1630-1750 Mon

ONLINE, LF-LT

Wk10, Teaching Wk1-9,11-13

COMMON LEC (LE)

1630-1750 Mon

ONLINE, LF-LT

Wk10, Teaching Wk1-9,11-13

COMMON LEC (LE)

1630-1750 Tue

LF-LT, ONLINE

Wk1-9,11-13, Teaching Wk10

COMMON LEC (LE)

1630-1750 Tue

LF-LT, ONLINE

Wk1-9,11-13, Teaching Wk10

06061 TUT (T3)

1630-1720 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

06061 TUT (T3)

1630-1720 Wed

SCI-EXSR, ONLINE

Wk2-9,11-13, Teaching Wk10

1700
1730