Module Handbook

 

Module Name:

Artificial Intelegence

Module Level:

Bachelor

Abbreviation, if applicable:

MAT 301

Sub-heading, if applicable:

-

Courses   included   in   the

module, if applicable:

-

Semester/term:

5th / Third Year

Module coordinator(s):

Auli Damayanti,S.Si., M.Si.

Lecturer(s):

Auli Damayanti,S.Si., M.Si.

Language:

Bahasa Indonesia

Classification   within   the

curriculum

Compulsory Course / Elective Studies

Teaching format / class hours per week during semester:

3 hours lectures (50 min / hour)

Workload:

3 hours lectures, 3 hour structural activities, 3 hours individual study, 13 week per semester, and total 117 hours per semester  3.9 ECTS

Credit Points:

3

Requirements:

-

Learning goals/competencies:

General Competence (Knowledge)

Implements and make application of artificial intelligence in all fields.

 

Specific Competence:

1.         Explaining about artificial intelligence and scope.

2.         Analyze problems and can solve space problems with blind search method

3.         Solve problems using a variety of heuristic search techniques.

4.         Representing knowledge using a variety of techniques knowledge representation

5.         Solve the problem by using the rules and methods of inference

6.         Solve problems using methods of uncertainty

7.         Applying branch of Artificial Intelligence for various problems.

Content:

The fundamental concept of algorithm and programming, the introduction of c++, variable and data type, the operators and statements i / o, selection, looping, function, array, data sorting, data searching, string, structure, pointer, and operation file.

Soft skill Attribute

Activity, disciplinary, honesty, creativity and cooperation

 

Study/exam achievements:

The assessment include essay test (quiz, middle exam ) and grup presentations (final exam)

 Final score (NA) is calculated as follow:

10% softskill + 20% Assignment  + 20%quiz + 25% UTS (midterm exam) + 25% UAS (final exam).

 

Final index is defined as follow:

 A     :    75 100

AB    :    70 74.99

B      :    65 69.99

BC    :    60 64.99

C      :    55 59.99

D      :    40 54.99

E       :      0 39.99

 Forms of Media:

Slides and LCD projectors, whiteboards

Learning Methods

Lecture, assessments and group discussion

Literature:

1.    Sri Kusumadewi, “Artificial Intelligence (Teknik dan Aplikasinya)”, Graha Ilmu, 2003

2.    William Siler and James J. Buckley, “Fuzzy Expert System and Fuzzy Reasoning”, Wiley-Interscience, 2005

3.     Laurene Fauset, “Fundamental of Neural Network”, Prentice Hall, 2000.

Notes: