This document outlines the topics that will be covered in an Artificial Intelligence course, including introductions to AI, problem solving through searching, logic programming, uncertainty, Bayesian networks, and learning. Students will be assessed through participation, assignments, quizzes, midterm and final exams. The course will also involve forming student groups and selecting group coordinators. References are provided for additional reading.

1. Introduction
Basiroh, S.Kom, M.Kom.
Kecerdasan Buatan/
Artificial Intelligence

2. Pokok Bahasan
1. Introduction
2. Pengantar/Dasar-Dasar Kecerdasan Buatan
3. Agen Cerdas
4. Penyelesaian Problem dengan Pencarian (Searching)
5. Informed Searching
6. Constraint Satisfaction Problem
7. UTS
8. Agen Logika
9. Logika Order Pertama (First Order Logic)
10. Inferensi pada FOL
11. Logic Programming
12. Ketidakpastian (Uncertainty)
13. Bayesian Network
14. Pembelajaran
15. Quiz
16. Final Project + UAS

3. Referensi
 Rich, Elaine & Knight, Kevin, Artificial Intelligence,
2nd, McGraw-Hill, New York.
 Russell, Stuart; dan Norvig, Peter. 2003. Artificial
Intelligence A Modern Approach. International Edition,
Edisi 2. Pearson Prentice-Hall Education International.
New Jersey.
 Kusumadewi; Sri. 2003. Artificial Intelligence (Teknik
& Aplikasinya). Graha Ilmu. Yogyakarta.

4. Lain-Lain
 Etika Perkuliahan
 Pembentukan Kelompok (5 org/per kelompok) dan
Koordinator Kelas
 Prosentase Nilai (100%) = 5% Point Keaktifan + 30%
Tugas + 15% Quiz + 25% UTS + 25% Final
Project/UAS
 Hp : 085600288609
 WA : 08982756085
 Email : basiroh.arsy@yahoo.com

5. Koordinator Kelas I (AI)
 Nama :
 Email :

6. Koordinator Kelas I (AI)
 Nama :
 Email :