Artificial Intelligence

This course prepares students to analyse the performance of search and reasoning methods in solving problems, apply intelligent agents, search algorithms and knowledge representation, and apply reasoning under uncertainty and the basics of machine learning. Study materials: Mathematical and Statistical Foundations (MSF), Artificial Intelligence (AI).

Topics

1. Performance of search and reasoning methods in problem solving
2. Intelligent agents, search algorithms and knowledge representation
3. Reasoning under uncertainty and fundamentals of machine learning

Each course outcome derives from one programme outcome.

1. CPMK0801

   Students are able to analyse the performance of artificial intelligence models to solve problems in various domains

   CPL08
2. CPMK0802

   Students are able to apply artificial intelligence concepts to solve problems in various domains

   CPL08

CPL08

Analyse and implement artificial intelligence concepts to solve problems in various domains.

• IF25-21010 Probability and Statistics · 3 credits · Semester 3
• IF25-21013 Algorithm Strategies · 3 credits · Semester 3

Prerequisite for

• IF25-31020 Machine Learning · 3 credits · Semester 5
• IF25-32025 Data Mining · 3 credits · Semester 6
• IF25-41031 Selected Topics in Computer Science · 3 credits · Semester 7

• IF3111 Inteligensi Buatan · 3 credits · Kode, semester 5→4