IF25-21010
Probability and Statistics
Description
This course prepares students to apply the concepts of probability, random variables and probability distributions, apply inferential statistics to analyse data, and explain the concepts of descriptive statistics and data presentation. Study materials: Mathematical and Statistical Foundations (MSF).
Topics
- Probability, random variables and probability distributions
- Inferential statistics for data analysis
- Descriptive statistics and data presentation
Course Learning Outcomes (CLO)
Each course outcome derives from one programme outcome.
Supported PLOs
- CPL06
- Analyse and implement fundamental concepts of mathematics, statistics, algorithms and computer systems as the foundation of computing.
Prerequisites
–
Prerequisite for
- IF25-22016 Artificial Intelligence · 3 credits · Semester 4
Previous curriculum equivalent
- IF2214 Probabilitas dan Statistika · 3 credits · Kode, semester 4→3

