Program Studi S2 (Magister) Teknik Informatika 

Program Reguler dan Exclusive Magister Teknik Informatika

Subject

Sem 1

Sem 2

Sem 3

IM

RPL

DM

IM

RPL

DM

IM

RPL

DM

Modelling and Optimization

 

 

 

3

3

3

 

 

 

Formal method

3

3

3

 

 

 

 

 

 

Intelligent systems

 

 

 

2

2

2

 

 

 

Information theory

2

2

2

 

 

 

 

 

 

Algorithm and Complexity

2

2

2

 

 

 

 

 

 

Research Methodology

2

2

2

 

 

 

 

 

 

Project

2

2

2

 

 

 

 

 

 

Prethesis and Seminar

 

 

 

2

2

2

 

 

 

Business and Management

 

 

 

2

2

2

 

 

 

Thesis

 

 

 

 

 

 

6

6

6

 

 

 

 

 

 

 

 

 

 

Advanced networking

2

 

 

 

 

 

 

 

 

Multimedia system and standards

 

 

 

2

 

 

 

 

 

Web Standards and Technology

 

 

 

2

 

 

 

 

 

Elective Course

 

 

 

2

 

 

4

 

 

 

 

 

 

 

 

 

 

 

 

Advanced Software Engineering

 

3

 

 

 

 

 

 

 

Software Quality

 

 

 

 

2

 

 

 

 

Software Architecture and process

 

 

 

 

3

 

 

 

 

Elective Course

 

 

 

 

 

 

 

4

 

 

 

 

 

 

 

 

 

 

 

Introduction to data mining

 

 

3

 

 

 

 

 

 

Advanced data mining

 

 

 

 

 

3

 

 

 

Applied data mining

 

 

 

 

 

2

 

 

 

Elective Course

 

 

 

 

 

 

 

 

4

 

 

 

 

 

 

 

 

 

 

Total

13

14

14

15

14

14

10

10

10

 

 

Catatan :

IM : Informatika Media

RPL : Rekayasa Perangkat Lunak

DM : Data Mining

 

Elective Courses:

Media Informatics

Network Management and Analysis (2 sks)

Mobile Computing (2 sks)

Distributed Systems (2 sks)

Information Systems Security (2 sks)

Multimedia: Applications, Contents, and Communications (2 sks)

Internet Services and Applications (2 sks)

 

Software Engineering

Collaboration System (2 sks)

Component Based Software Development (2 sks)

Embedded Software (2 sks)

Web Engineering (2 sks)

 

Data Mining

Advanced Data Classification (Pengklasifikasi Data Lanjut) ( 2 sks)

Web & Text Mining and Retrieval (3 sks)

Data Preparation (2 sks)