STRUKTUR KURIKULUM BIDANG KEAHLIAN TELEMATIKA 2009-2014
STRUKTUR KURIKULUM BIDANG KEAHLIAN
TELEMATIKA 2009-2014
No. Kode MK
sks Code
Nama Mata Kuliah (MK)
Credits SEMESTER I
Course Title
1 TE.092600 Proses Acak pada Telematika 3 Random Process in Telematics 2 TE.092601 Algoritma dan Teknik Komputasi
3 Algorithm and Computational Engineering 3 TE.092602 Matematika Diskrit dan Teori Graf
2 Discrete Mathematics and Graph Theory 4 TE.092092 Pengenalan Bidang Riset
2 Introduction to Research Fields
Jumlah sks/Total of credits
SEMESTER II
1 TE.092093 Penulisan Ilmiah 2 Scientific Writing 2 TE.092603 Analisa dan Unjuk Kerja Sistem
2 Analysis and System Performance 3 TE.092604 Sistem Komunikasi Digital
2 Digital Communication System 4 TE.092630 Sistem Komputer GRID
2 GRID Computer System
Jumlah sks/Total of credits
SEMESTER III
1 TE.092627 Komputasi Bergerak 2 Mobile Computing
2 TE.092628 Jaringan Komputer
Computer Network
3 Mata Kuliah Pilihan 6 Elective Course
Jumlah sks/Total of credits
10 ITS
SEMESTER IV
1 TE.092099 Tesis 6 Thesis
riculum
2 Mata Kuliah Pilihan 2 Elective Course
/Cur
Jumlah sks/Total of credits
Kurikulum
Mata Kuliah Pilihan
Additional optional courses
No. Kode MK
sks Code
Nama Mata Kuliah (MK)
Course Title
Credits
1 TE.092636 Sistem Biometrika 2 Biometric System 2 TE.092637 Manajemen jaringan
2 Network Management 3 TE.092621 Jaringan Nirkabel Ad-Hoc
2 Wireless Ad-Hoc Network 4 TE.092622 Multimedia dalam Jaringan
2 Networked Multimedia 5 TE.092623 Keamanan Sistem Informasi dan Jaringan
2 Information System and Network Security 6 TE.092624 Sistem Real-Time dan Embedded
2 Real-Time and Embedded System 7 TE.092625 Analisa dan Unjuk Kerja Jaringan Komunikasi
2 Analysis and Communication Network Performance 8 TE.092626 Sistem Telemedika
2 Telemedicine System 9 TE.092631 Sistem Manajemen Basis Data Multimedia
2 Multimedia Data Base Management System 10 TE.092632 Kecerdasan Bisnis
2 Business Intelligent 11 TE.092633 Pengolahan Citra Digital
2 Digital Image Processing 12 TE.092634 Kecerdasan Buatan
Artificial Intelligent
13 TE.092635 Komputasi Fault-tolerant
Fault-tolerant Computation
14 TE.092642 Topik Khusus Telematika
Ad-hoc Topic on Telematics
: 20 ITS
riculum /Cur
Kurikulum
SILABUS KURIKULUM/COURSE SYLLABUS
TE – 092600: Proses Acak pada Telematika
MATA KULIAH/
TE – 092600: Random Process in Telematics
COURSE TITLE
Sks /Credits: 3 Semester: I
Mahasiswa mampu memahami konsep proses acak dan
TUJUAN PEMBELAJARAN/
menerapkannya dalam analisis permasalahan telematika. LEARNING OBJECTIVES Students able to understand concepts of random process, and apply the concepts for analyzing Telematics problems.
x Mahasiswa mampu menjelaskan konsep variabel acak
dan proses acak.
KOMPETENSI/
x Mahasiswa mampu menerapkan konsep proses acak dalam analisis permasalahan telematika.
COMPETENCY
x Students able to describe the concept of random
variable and random process. x Students able to apply the concepts for analyzing
Telematics problems. x Konsep probabilitas x Konsep dan karakterisasi variabel acak
x Fungsi variabel acak x Konsep dan karakterisasi proses acak
POKOK BAHASAN/
x Transformasi proses acak
SUBJECTS
x Konsep proses Markov
x Probability concept
x Concept and characterization of random variable
x Random variable function
x Random process transformation x Concept of markov process
ITS
x Papoulis and ...., Probability and Random Processes x Peyton Z. Peebles, Probability, Random Variables, and
PUSTAKA UTAMA/ MAIN
Random Signal Principles, 4 th Edition, McGraw-Hill,
riculum
REFERENCES
/Cur
x Alberto Leon-Garcia, Probability and Random Processes for Electrical Engineering, Addison-Wesley Pub.
Company, Englewood Cliffs, New Jersey 1989.
PUSTAKA
x Roy D. Yates and David J. Goodman, Probability and
Kurikulum
PENUNJANG/OPTIONAL
Stochastic Processes: a friendly introduction for electrical and computer engineers, 2 nd Edition, John
REFERENCES
Wiley & Sons, New York, 2005.
PRASYARAT/PREREQUISITE -
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092601: Algoritma dan Teknik Komputasi
MATA KULIAH/
TE – 092601: Algorithm and Computational Engineering
COURSE TITLE
Sks /Credits: 3 Semester: I
Mahasiswa mengetahui dan mampu menjelaskan
TUJUAN PEMBELAJARAN/
pengembangangan dunia algoritma dan teknik komputasi LEARNING OBJECTIVES beserta konsep aplikasinya.
Students understand and have the ability to explain the development of algorithms and computational methods.
x Mahasiswa mampu menjelaskan teknik-teknik
komputasi dalam bentuk algoritma.
KOMPETENSI/
x Mahasiswa mampu melakukan simulasi konsep tersebut
COMPETENCY
pada aplikasi yang sebenarnya. x Students can explain computational methods in the form
of algorithms. x Students can simulate the concepts on real applications. x Abstrack Structure Data
x Rekursif x Divide and conquer algorithm x Greedy Algorithm
POKOK BAHASAN/
x Dynamic Programming
x Searching x Abstract data structure.
SUBJECTS
x Recursive algorithms.
x Divide and conquer algorithm. x Greedy algorithm.
x Dynamic programming.
x Searching.
PUSTAKA UTAMA/ MAIN
x Sara Baase, Allen Van Gelder, Computer algorithm:
REFERENCES
Introduction to Design and Analysis, Addison Wesley,
ITS
PUSTAKA
x Thomas H.Corm, Charles E. Leisers, Ronald L. Rive,
Algorithm, MIT, 1990.
riculum
PENUNJANG/OPTIONAL REFERENCES
x Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran, Computer Algorithms C++, Computer Science Press,
/Cur
PRASYARAT/PREREQUISITE Pemrograman computer.
Computer programming.
Kurikulum
TE – 092602: Matematika Diskrit dan Teori Graf
MATA KULIAH/
TE – 092602: Discrete Mathematics and Graph Theory
COURSE TITLE
Sks /Credits: 2 Semester: I
Mahasiswa memiliki pengetahuan mengenai struktur data dan berbagai macam algoritma serta
mampu
TUJUAN PEMBELAJARAN/
menggunakannya untuk berbagai permasalahan klasifikasi LEARNING OBJECTIVES dan optimasi. Students have the knowledge about data structures and algorithms, and also have the ability to use them in many classification and optimization problems.
Mahasiswa mengetahui konsep dasar matematika diskrit dan teori graph.
KOMPETENSI/
Mahasiswa mampu menyelesaikan persoalan-persoalan optimasi dalam graph.
COMPETENCY
x Students understand basic concepts in discrete
mathematics and graph theory. x Students can solve classification and optimization
problems in graph. x Logika, himpunan dan fungsi.
x Algoritma rekursi dan kompleksitas komputasi. x Relasi.
POKOK BAHASAN/
x Tree.
SUBJECTS
x Graph. x Logics, sets and functions. x Recursive algorithms and computational complexity.
x Relations.
x Tree.
x Graph.
PUSTAKA UTAMA/ MAIN
x Rosen, Discrete Mathematics, Prentice Hall Inc, 1999.
REFERENCES
x Cormen T., Leiserson C., Rivest R., Stein C., Introduction to Algorithms, 2 nd Edition, Mc Graw Hill international
ITS
Edition, 2004.
PUSTAKA
Beberapa paper dari jurnal IEEE.
riculum
PENUNJANG/OPTIONAL
Selected papers from IEEE transactions.
REFERENCES
/Cur
PRASYARAT/PREREQUISITE Pemrograman Komputer.
Computer Programming.
Kurikulum
TE - 092092: Pengenalan Bidang Riset
MATA KULIAH/
TE - 092092: Introduction to Research Fields
COURSE TITLE
Sks /Credits: 2 Semester: I
x Mahasiswa memahami berbagai cluster riset dalam
bidang
teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika; dan dapat memilih cluster riset yang akan ditekuni dengan tetap memperhatikan cluster-cluster riset yang berhubungan.
TUJUAN PEMBELAJARAN/
x Mahasiswa mampu menerapkan sikap ilmiah sesuai
LEARNING OBJECTIVES dengn kebidangan masing-masing. x To have an understanding of many research fields in
power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics; and to have a skill to select own research cluster by considering all supporting clusters.
x To have a capability to apply scientific mindset and
attitude in the own research filed. x Mahasiswa memahami berbagai cluster riset bidang
teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika.
x Mahasiswa mampu memilih pendekatan ilmiah yang tepat untuk menyelesaikan permasalahan melalui
kegiatan riset untuk peningkatan kualitas hidup manusia
dan lingkungan.
x Mampu melaksanakan dan memelihara sikap dan
KOMPETENSI/
kegiatan ilmiah dalam kehidupan profesi.
COMPETENCY
x To have an understanding many research clusters in the fields of power system engineering, multimedia
ITS
communication, electronic engineering, intelligent multimedia network, and telematics.
x To have a capability to choose an appropriate scientific
riculum
approach to solve a certain engineering problem through activities for improvement of human life quality
/Cur
and environment. x To have a skill of actualizing and to keep scientific
attitude and scientific activities in professional tasks.
Kurikulum
POKOK BAHASAN/
x Pembekalan bidang-bidang riset x Seminar ilmiah
SUBJECTS
x Review jurnal ilmiah x Telaah kasus x Penyusunan laporan. x Provisioning of research fields x Journal article review x Case studies and report.
PUSTAKA UTAMA/MAIN
x Artikel journal terpilih.
REFERENCES
x Selected scientific journals in power system engineering, multimedia communication, electronic engineering,
intelligent multimedia network, and telematics.
PUSTAKA PENUNJANG/OPTIONAL REFERENCES PRASYARAT/PREREQUISITE -
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092093 : Penulisan Ilmiah
MATA KULIAH/
TE – 092093 : Scientific Writing
COURSE TITLE
Sks /Credits: 2 Semester: II
Memberikan persiapan bagi mahasiswa sebelum memulai thesis, dengan memahami identifikasi dan perumusan masalah yang akan menjadi topik thesis, memahami metodologi penelitian yang diperlukan, serta memahami
TUJUAN PEMBELAJARAN/
teknik penulisan karya tulis ilmiah yang berupa proposal LEARNING OBJECTIVES thesis, buku thesis, dan makalah ilmiah.
Giving preparation for the students before getting thesis by understanding problem identification and formulation related to the thesis topic.
xx Memahami metodologi riset.
KOMPETENSI/
xx Memahami cara menulis ilmiah untuk proposal thesis,
thesis dan makalah ilmiah.
COMPETENCY
x Understanding research methodology. x Understanding technical writing for the proposal thesis,
thesis and scientific papers. xx Memahami metodologi riset: Identifikasi masalah, studi
literature, data plant, pemodelan system, diagram system, algoritma solusi, pengembangan metoda, simulasi dan analisis, justifikasi hasil.
xx Memahami format penulisan ilmiah: judul, pengarang,
afiliasi, lembar pengesahan, abstrak, daftar isi,
pendahuluan, penukilan, penjabaran konsep, metodologi, tabel, gambar, grafik, jadwal, analisis hasil
POKOK BAHASAN/
simulasi, kesimpulan, daftar pustaka, riwayat hidup dan
ucapan terima kasih. ITS
SUBJECTS
Problem identification, Literature study, plant data, systems modeling, system diagram, solution algorithm, method
riculum
development, simulation and analysis, result justification.
/Cur
affiliation, authentication sheet, abstract, content, introduction to problem, citation, concept, methodology, data table and graphics, figure, schedule, simulation result and analysis, conclusion, references, biography and
Kurikulum
acknowledgement.
x ITS, Buku Pedoman Akademik, ITS, 2009.
PUSTAKA UTAMA/MAIN
xx ITS, Metodologi Penelitian, Puslit ITS, 2008.
REFERENCES
x Imam Robandi, Becoming The Winner: Riset, Menulis Ilmiah, Publikasi Ilmiah, dan Presentasi, Penerbit ANDI,
PUSTAKA PENUNJANG/OPTIONAL REFERENCES
PRASYARAT/PREREQUISITE xx Pengenalan Bidang Riset
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092604: Sistem Komunikasi Digital
MATA KULIAH/
TE – 092604: Digital Communication System
COURSE TITLE
Sks /Credits: 2 Semester: II
Mahasiswa memahami konsep, elemen, dan kinerja sistem komunikasi digital pada berbagai jenis kanal.
TUJUAN PEMBELAJARAN/
Students comprehend the concept and elements of digital LEARNING OBJECTIVES communication systems and are capable of analyzing the
performance of digital communication systems in various types of communication channels.
KOMPETENSI/
x Mahasiswa mampu menjelaskan konsep dan elemen
sistem komunikasi digital.
COMPETENCY
x Mahasiswa mampu menjelaskan kinerja sistem komunikasi digital pada berbagai jenis kanal.
Konsep probabilitas dan proses acak, konsep teori informasi dan pengkodean sumber, pemodelan sinyal dan sistem komunikasi digital, penerima optimum dan kinerja probabilitas kesalahan pada kanal AWGN, pengantar pengkodean kanal, desain sinyal untuk kanal pita terbatas, penerima optimum dan sub-optimum untuk kanal ISI,
1 POKOK BAHASAN/ 4
pengantar sistem komunikasi digital pada kanal fading.
Concepts of probability and random processes, concepts of
SUBJECTS
information theory and source coding, models of signals and
systems in digital communications, optimum receiver and error rate performance of digital communication systems in
AWGN channels, fundamentals of channel coding, signal
ITS
design for digital communications through band-limited channels, optimum and sub-optimum receivers for channels with ISI, fundamentals of digital communications through
riculum
fading channels.
/Cur
PUSTAKA UTAMA/ MAIN
x John G. Proakis & Massoud Salehi, Digital
REFERENCES
Communications, 5 th ed., McGraw-Hill, 2007. x B. Sklar, Digital Communications.
PUSTAKA
x Bernard Sklar, Digital Communications: Fundamentals
Kurikulum
and Applications, 2 nd
ed., Prentice Hall, 2001.
PENUNJANG/OPTIONAL REFERENCES
x Artikel-artikel dari jurnal ilmiah, misal: IEEE Trans. on 1
Communication and IEEE J. on Selected Areas in
Communications. 1
PRASYARAT/PREREQUISITE Proses acak (bisa diambil bersamaan)
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092630: Sistem Komputer GRID
MATA KULIAH/
TE – 092630: GRID Computer System
COURSE TITLE
Sks /Credits: 2 Semester: II
Mahasiswa mampu menjelasan arsitektur dari sistem grid, sistem manajemen sumber daya pada grid, dan juga bagaimana web semantik disebarkan dalam sistem grid
TUJUAN PEMBELAJARAN/
untuk menghasilkan keamanan dan ketersediaan pada grid. LEARNING OBJECTIVES Student can explain the basic architecture of Grid system,
resources management system in Grid, and also how is the semantic web being deployed in Grid system to provide the security and reliability of the Grid.
x Mahasiswa mampu menjelaskan arsitektur dasar dana fitur-fitur grid berdasarkan standar OGSA.
x Mahasiswa mampu menjelaskan bagaimana sistem
KOMPETENSI/
manajemen sumber daya diterapan pada sistem grid untuk mendukung unjuk kerja dan keamanan pada grid.
COMPETENCY
x Student can explain the basic architecture and features of Grid based on OGSA standardization.
x Student can explain how the resources management system is applied in Grid system to support the
performance and security in Grid.
x Arsitektur dasar sistem grid
x Beberapa konsep dan aplikasi dalam komputasi
terdistribusi
x Globus toolkit dan layanan web pada sistem grid
POKOK BAHASAN/
x Web semantik pada sistem grid
ITS
SUBJECTS
x Konsep keamanan dan unjuk kerja pada sistem grid x Basic architecture of Grid System x Some concepts of application in distributed computing
riculum
x Globus toolkit and web service in grid system x Web Semantic grid system
/Cur
x Concepts of security and performance in grid system Maozhen Li and Mark Baker, The Grid core technology,
PUSTAKA UTAMA/ MAIN
Brunel Univ, UK, Portsmouth Univ, USA, John Wiley & Sons,
REFERENCES
Kurikulum
PUSTAKA
Stevens, R.D, Tipney, H.J, Wroel, C, J, Oinn T.M, Senger, M,
PENUNJANG/OPTIONAL
Lord, PW, et all, Syndrome using myGrid, bioinformatic,
REFERENCES
PRASYARAT/PREREQUISITE Computer Network and Parallel Processing
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092627: Komputasi Bergerak
MATA KULIAH/
TE – 092627: Mobile Computing
COURSE TITLE
Sks /Credits: 2 Semester: II
Memahami apa itu komputasi bergerak, ubiqitous computing, mobile computing, beberapa teknik dan
TUJUAN PEMBELAJARAN/
aplikasinya. LEARNING OBJECTIVES Students understand the concepts of mobile computing,
ubiqitous computing, some of the techniques and applications.
KOMPETENSI/ COMPETENCY
x Wireless Sensors: RFID Automatic Identification and
Data Capture x RFID Applications: Animal Monitoring, Assets and
POKOK BAHASAN/
Vehicles Tracking
SUBJECTS
x Internet of Things: A Context-Awareness Perspective x Street, Car and Home Without Secrets: Telematics,
Intelligent Vision, What the Software Knows (Machine Learning)
x THE INTERNET OF THINGS, From RFID to the Next-
Generation Pervasive Networked Systems.
PUSTAKA UTAMA/ MAIN
x World Without Secrets: BUSINESS, CRIME, AND PRIVACY IN THE AGE OF UBIQUITOUS COMPUTING, Richard
REFERENCES
Hunter, John Wiley & Sons, Inc. x Advances in Ubiquitous Computing: Future Paradigms
ITS
and Directions.
PUSTAKA
riculum
PENUNJANG/OPTIONAL
/Cur
REFERENCES PRASYARAT/PREREQUISITE -
Kurikulum
TE – 092628: Jaringan Komputer
MATA KULIAH/
TE – 092628: Computer Network
COURSE TITLE
Sks /Credits: 2 Semester: III
Mahasiswa mampu menjelaskan bagaimana sebuah jaringan computer terhubung dan saling berkomunikasi satu dengan lainnya dengan menggunakan protocol komunikasi, serta konsep-konsep komunikasi data yang ada di dalamnya termasuk adalah error correction dan security.
TUJUAN PEMBELAJARAN/
Students able to describe how computers network is LEARNING OBJECTIVES established and how computers can communicate each
others by means of communication protocol, have knowledge about communication concepts including data communication concepts such as error correction and security.
x Mahasiswa mampu menjelaskan bagaimana dasar fondasi terjadinya komunikasi data dalam jaringan
komputer.
KOMPETENSI/
x Mahasiswa mampu menjelaskan bagaimana logika-
COMPETENCY
logika komunikasi data dan lingkungannya dibangun.
x Students can describe basic of how communication is
established in a computer network.
x Students can describe logics of data communication and
its environment is established.
x Dasar jaringan komputer
x OSI reference model x Protocol TCP/IP
ITS
POKOK BAHASAN/
x Logika komunikasi data
x Konsep security dan cryptografi x Basic of computer network
SUBJECTS
riculum
x OSI reference model
/Cur
x TCP/IP Protocol x logics of data communication x security concept dan cryptography
PUSTAKA UTAMA/ MAIN
James F Kurose dan Keith W Ross, Computer Networking Top Down, 2000.
Kurikulum
REFERENCES PUSTAKA
x Cisco System, Routing TCP/IP, CCIE Professional
PENUNJANG/OPTIONAL
Development, volume 1, 1998.
REFERENCES
x Drew Heywood, Konsep dan Penerapan Microsoft
TCP/IP, Andi Jogjakarta, 1997.
PRASYARAT/PREREQUISITE Arsitektur computer dan Rangkaian Logika.
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092099 : Tesis
MATA KULIAH/
TE – 092099 : Thesis
COURSE TITLE
Sks /Credits: 6 Semester: IV
Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan teknik
TUJUAN PEMBELAJARAN/
elektro dengan kontribusi ilmiah yang disesuaikan dengan LEARNING OBJECTIVES program magister.
The student can apply the methods to solve the problems in the field of electrical engineering that have the contribution related the master program. Mahasiswa mampu menerapkan metode ilmiah untuk
KOMPETENSI/
menyelesaikan permasalahan sesuai bidang keilmuan.
COMPETENCY
The Student have the ability to apply the methods for the problem solving.
POKOK BAHASAN/
Disesuaikan dengan tema yang diambil masing-masing
SUBJECTS
mahasiswa. Depend on the students topics.
PUSTAKA UTAMA/MAIN
Pedoman Penyusunan Thesis, Program Pascasarjana ITS,
PENUNJANG/OPTIONAL
REFERENCES
xx Pengenalan Bidang Riset
ITS
PRASYARAT/PREREQUISITE xx Proposal Riset
x Introduction to Research Fields x Research Proposal
riculum
/Cur
Kurikulum
TE – 092636: Sistem Biometrika
MATA KULIAH/
TE – 092636: Biometric System
COURSE TITLE
Sks /Credits: 2 MK Pilihan / Additional optional courses
Mahasiswa memiliki pengetahuan tentang system biometrika baik dalam system yang menggunakan single ataupun multi modal juga proses kegagalan dalam
TUJUAN PEMBELAJARAN/
mendidentifikasi kasus dan bagaimana cara LEARNING OBJECTIVES memecahkannya menggunakan ROC curve.
Students have the knowledge about single modal and multi modal biometric system and failure process in identification and how to solve it using ROC curve.
x Mahasiswa mampu menjelaskan cara-cara perancangan system biometrika baik single maupun multi modal.
x Mahasiswa mampu menjelaskan proses kegagalan pada
KOMPETENSI/
identifikasi system biometrika dan bagaimana cara
COMPETENCY
mengurangi kegagalan tersebut. x Students can explain the design methods of single modal
and multi modal biometric system. x Students can explain failure process in identification of
biomeotric system and how to reduce it.
x Fenomena biometrika.
x Pengidentifikasian single ataupun multi model
biomterika, untuk pengenalan.
x Kegagalan pada sisitem identifikasi biometrika dan
penanggulangannya.
POKOK BAHASAN/
x Pengaturan ROC curve.
x Sistem Biometrika menggunakan ROC curve.
ITS
SUBJECTS
x Phenomenons of biometrics. x Single modal and multi modal biometric identification
for recognition.
riculum
x Failures in biometric identification and how to solve
them.
/Cur
x ROC curve. x Biometric system using ROC curve.
PUSTAKA UTAMA/ MAIN
x Anil K. Jain, Patrick Flynn, Arun A. Ross, Handbook of
REFERENCES
Biometrics, Springer Verlag 2005.
Kurikulum
PUSTAKA
x M. Negin, T. A. Chmielewski, M. Salganicoff, T. A. Camus,
PENUNJANG/OPTIONAL
U. M. C. von Seelan, P. L. Venetianer, and G. G. Zhang.
REFERENCES
An Iris Biometric System for Public andPersonal Use. IEEE Computer, 33(2):70–75, February 2000.
x M. S. Nixon, J. N. Carter, D. Cunado, P. S. Huang, and S.
V. Stevenage. Automatic Gait Recognition. In A. K. Jain, R. Bolle, and S. Pankanti, editors, Biometrics:Personal Identification in Networked Society, pages 231–249. Kluwer Academic Publishers, London, UK, 1999.
x L. O’Gorman. Comparing Passwords, Tokens, and Biometrics for User Authentication. Proceedings of the
IEEE, 91(12):2019–2040, December 2003. x P. J. Phillips, P. Grother, R. J. Micheals, D. M. Blackburn,
E. Tabassi, and J. M. Bone. FRVT2002: Overview and Summary. http://www.frvt.org/FRVT2002, March 2003.
x Matematika Diskrit dan Teori Graph x Komputasi Lunak x Jejaring Multimedia
PRASYARAT/PREREQUISITE x Interaksi Manusia Komputer x Discrete Mathematics and Graph Theory
x Soft Computing x Multimedia Networks x Human Computer Interaction
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092637: Manajemen jaringan
MATA KULIAH/
TE – 092637: Network Management
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Mahasiswa mampu menjelaskan dan mendisain
TUJUAN PEMBELAJARAN/
LEARNING OBJECTIVES
manajemen jaringan beserta aplikasinya.
Student have experience on design network management and it’s application.
x Mahasiswa mampu mendisain sistem manajemen
x Mahasiswa mampu melakukan simulasi konsep tersebut
pada aplikasi yang sebenarnya. x Can design network management.
x Can make simulation on actual application. x Perangkat keras dan lunak untuk manajemen jaringan x Network planning
POKOK BAHASAN/
x Traffic routing to support load balancing
SUBJECTS
x Cryptographic key distribution authorization x Configuration and fault management x Security management
1 x Performance management 4
x Network management’s hardware and software
PUSTAKA UTAMA/ MAIN
x Journal of IEEE trans on networking
REFERENCES
PUSTAKA
ITS
PENUNJANG/OPTIONAL REFERENCES
riculum
PRASYARAT/PREREQUISITE -
/Cur
Kurikulum
TE – 092621: Jaringan Nirkabel Ad-Hoc
MATA KULIAH/
TE – 092621: Wireless Ad-Hoc Network
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Mempelajari berbagai arsitektur dan karakteristik jaringan
ad hoc dan mobile, beserta teknik-teknik akses dan routing
TUJUAN PEMBELAJARAN/
yang diperlukan, selain aspek keamanan. LEARNING OBJECTIVES To study various architecture and characteristics of mobile
and ad hoc networks, as well as related access, routing techniques and security aspects. Mahasiswa diharapkan memahami: xx Karakteristik dan arsitektur jaringan ad hoc x MAC dan unjuk kerja berkaitan dengan berbagai model
trafik x Penentuan lokasi dan teknik-teknik terkait x Konsep keamanan pada jaringan ad hoc dan protokol-
KOMPETENSI/
protokol terkait
x Simulasi jaringan ad hoc
COMPETENCY
The students will understand: x Architectures and characteristics of ad hoc network
x MAC and its performances in relation to various traffic
models
x Localization techniques
x Security concepts and protocols
x Ad hoc network simulation
xx Penyegaran system komunikasi data nirkabel xx Medium access control: pemodelan trafik, pemodelan
ITS
tunda, model antrian, multiple access, demand assigned MA, CSMA, MAC pada jaringan ad hoc
x Akses nirkabel ad hoc: jaringan Bluetooth, pencarian
riculum
simpul, algoritma pembentukan Bluetooth, mode mesh
POKOK BAHASAN/
pada WiMAX/802.16
/Cur
SUBJECTS
x Pemrograman jaringan nirkabel: struktur informasi, socket, parameter dan control, frame terima dan frame
kirim x Protokol jaringan ad hoc: IP routing normal, pendekatan
Kurikulum
reaktif, pendekatan proaktif, pendekatan hibrida, pengelompokan, QoS, protokol jaringan sensor
x Simulasi jaringan: ns2 x Kesadaran tentang lokasi: kedekatan geografik, x Simulasi jaringan: ns2 x Kesadaran tentang lokasi: kedekatan geografik,
xx Keamanan jaringan ad hoc: teknik-teknik otentifikasi, serangan lapis fisik, protokol aplikasi keamanan, kemanan routing, keamanan broadcast, verifikasi lokasi yang aman
x Review of wireless data communication x Medium access control: traffic modeling, delay model,
queueing models, multiple access, demand assigned MA, CSMA, MAC in adhoc network
x Ad hoc wireless access: Bluetooth networks, node discovery, Bluetooth formation algorithms, mesh mode
of WiMAX/802.16 x Wireless network programming: structure of
information, socket, parameters and control, receiving frames, sending frames
x Ad hoc network protocols: normal IP routing, reactive approach, proactive approach, hybrid approach,
clustering, QoS, sensor network protocols x Network simulation: ns2 x Location awareness: geographic proximity, constructing
spanner, information dissemination, geographic location determination, random unit disc graphs, coverage and connectivity
x Ad hoc network security: authentication techniques,
physical layer attacks, security application protocols,
routing security, broadcast security, secure location
verification
PUSTAKA UTAMA/ MAIN
xx
Michel Barbeau & Evangelos Kranakis, Principles of Ad
ITS
REFERENCES
Hoc Networking, Wiley, 2007.
PUSTAKA
xx
Ian F. Akyildiz and Xudong Wang, Wireless Mesh
riculum
PENUNJANG/OPTIONAL
Networks, Wiley, 2009.
xx
Artikel-artikel dari jurnal ilmiah:
/Cur
REFERENCES
IEEE Transaction on Communications IEEE Transaction on Wireless Communication
PRASYARAT/PREREQUISITE -
Kurikulum
TE – 092622: Multimedia dalam Jaringan
MATA KULIAH/
TE – 092622: Networked Multimedia
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Mahasiswa dapat menjelaskan arsitektur, diagram alir dan fitur multimedia dalam jaringan dan protocol komunikasi
TUJUAN PEMBELAJARAN/
yang tersedia pada beberapa aplikasi jaringan. LEARNING OBJECTIVES Student can explain the architecture, flow diagram and
features of networked multimedia and also the communication protocol inside the network in providing the development of some applications in the network.
x Mahasiswa dapat menjelaskan dengan baik bagaimana system multimedia dalam jaringan dikembangkan.
x Mahasiswa dapat menjelaskan organisasi system multimedia dalam jaringan dan protokolnya.
x Mahasiswa mampu menjelaskan perfomansi system
KOMPETENSI/
komunikasi yang tersedia pada multimedia dalam
COMPETENCY
jaringan. x Student can explain correctly how is the networked
multimedia system being develope . x Student can explain the organization of networked
multimedia system and its protocol.
x Student can explain how the communication system
provide the performance of networked multimedia.
x Konsep Multimedia
x Aplikasi multimedia dalam jaringan(video streaming)
x Protokol komunikasi yang mendukung pengembangan
aplikasi multimedia dalam jaringan.
ITS
x Multimedia pada jaringan nirkabel.
POKOK BAHASAN/
x Konsep keamanan dan performansinya pada multimedia
dalam jaringan
riculum
SUBJECTS
x The concept of Multimedia
/Cur
x Multimedia application in the network (video streaming) x Communication protocol in supporting the development
of Multimedia application in the network x Multimedia in the wireless network
Kurikulum
x The concept of security and performance in networked
multimedia Computer Networking: A Top Down Approach Featuring the
PUSTAKA UTAMA/ MAIN
Internet, 3 rd edition, Jim Kurose and Keith Ross Addison-
Networked Multimedia Embedded linux, Case study, 2001.
PENUNJANG/OPTIONAL REFERENCES
Jaringan Komputer dan Multimedia
PRASYARAT/PREREQUISITE Computer Network and Multimedia
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092623: Keamanan Sistem Informasi dan Jaringan
MATA KULIAH/
TE – 092623: Information System and Network Security
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Mempelajari konsep-konsep keamanan dan teknik-teknik
TUJUAN PEMBELAJARAN/
yang digunakan untuk keamanan sistem informasi dan LEARNING OBJECTIVES jaringan. To study security concepts and techniques used to implement security for information system and network. Mahasiswa mampu memahami: x Konsep-konsep keamanan pada sistem informasi dan
jaringan x Teknik-teknik kriptografi kunci rahasia dan publik
x Implementasi keamanan pada berbagai lapisan dari
KOMPETENSI/
arsitektur jaringan
COMPETENCY
The students will understand: xx The security concepts for information systems and
network x Cryptography techniques: secret key & public key x How to implement security in various layers of
architecture[
Pengantar keamanan sistem komputer dan kriptografi
Kriptografi dengan kunci rahasia
Hash dan ringkasan pesan
Kriptografi dengan kunci publik
Distribusi dan manejemen kunci, sertifikasi sendiri
Otentikasi
ITS
Kontrol akses dan desain sistem yang aman
POKOK BAHASAN/
Kirptografi dan keamanan sistem
riculum
SUBJECTS
Perangkat lunak jahat dan worm
Keamanan routing
/Cur
Keamanan lapisan IP
Keamanan sistem penamaan
Botnet: serangan dan teknik pertahanan
Kurikulum
Pemantauan sistem dan deteksi penyusupan
Keamanan sistem nirkabel
Keamanan web
Computer security overview
Intro to cryptography
Secret key cryptography
Hashes and message digests
Public key cryptography
Key distribution, management, self-certification
Authentication
Access control and secure system design
Cryptography and system security
Malware & worms
Routing security
IP-layer security
Naming security
Botnets: attacks & defenses
Monitoring and intrusion detection
Wireless security
Web security
PUSTAKA UTAMA/ MAIN
x Charlie Kaufman, Radia Perlman and Mike Speciner,
REFERENCES
Network Security: Private Communication in a Public World, 2 nd Ed., Prentice Hall, 2002.
PUSTAKA
x Ross Anderson, Security Engineering: A Guide to Building nd
PENUNJANG/OPTIONAL
Dependable Distributed Systems, 2 ed., Wiley, 2008.
REFERENCES
x William Stallings, Network Security Essentials:
Applications and Standards, Prentice-Hall, 2000.
PRASYARAT/PREREQUISITE -
: 20 ITS
riculum /Cur
Kurikulum
TE – 092624: Sistem Real-Time dan Embedded
MATA KULIAH/
TE – 092624: Real-Time and Embedded System
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
TUJUAN PEMBELAJARAN/
Mahasiswa mengetahui dan mampu menjelaskan sistem real time dan embedded.
LEARNING OBJECTIVES Student know and able to describe concept of real time and embedded system.
KOMPETENSI/
x Mahasiswa mampu menjelaskan sistem embedded.
COMPETENCY
x Mahasiswa mampu menjelaskan sistem real time. x Student able to describe embedded system. x Student able to describe real time system. x Pengenalan Sistem Embedded. x Sistem Operasi Real time pada sistem embedded.
POKOK BAHASAN/
x Manajemen perancangan sistem embedded.
SUBJECTS
x Manajemen sumber daya dan Team work. x Basic of Embedded System. x Real time operating system in an embedded system. x Management in embedded system design.
PUSTAKA UTAMA/ MAIN
x Richard Zurawski, Embedded Systems Handbook, Tailor
REFERENCES
and Francis, 2006.
PUSTAKA
x Arnold S. Berger, Embeded Systems Design an
PENUNJANG/OPTIONAL
Introduction to Proces, Tools, and Techniques
REFERENCES
CMPBooks, 2002.
x Pemrograman computer. x Pemrograman mikrokontroller.
ITS
x Komputasi Multimedia.
PRASYARAT/PREREQUISITE x Soft Computing.
riculum
x Computer programming. x Microcontroller programming.
/Cur
x Multimedia computation. x Soft Computing.
Kurikulum
TE – 092626: Sistem Telemedika
MATA KULIAH/
TE – 092626: Telemedicine System
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
TUJUAN PEMBELAJARAN/
Mahasiswa mengetahui dan mampu menjelaskan pengembangan Telemedika beserta desain aplikasinya.
LEARNING OBJECTIVES Students understand and have the ability to explain the development of telemedicine and its applications. x Mahasiswa mengetahui definisi telemedika, sejarah,
cakupan dan perkembangannya, serta perkembangan telemedika di berbagai negara.
x Mahasiswa mengetahui teknologi pendukung telemedika, layanan telemedika yang ada, etika dan
aspek legal telemedika.
KOMPETENSI/
x Mahasiswa dapat membuat desain aplikasi telemedika.
COMPETENCY
x Students understand about the definition of telemedicine, history, scope, and development of
telemedicine in many countries. x Students understand about telemedicine supporting
technology, the available telemedicine services, ethics, and legal aspects of telemedicine.
x Students can develop the application design of
telemedicine.
x Definisi telemedika, sejarah, cakupan dan
perkembangannya.
x Teknologi pendukung telemedika. x Layanan telemedika.
x Etika dan aspek legal telemedika.
ITS
POKOK BAHASAN/
x Perkembangan telemedika di berbagai negara.
SUBJECTS
x Desain aplikasi telemedika. x Definition of telemedicine, history, scope, and its
riculum
development. x Supporting technology of telemedicine.
/Cur
x Telemedicine services. x Ethics and legal aspects of telemedicine. x Development of telemedicine in many countries. x Application design of telemedicine.
Kurikulum
PUSTAKA UTAMA/ MAIN
x A.C. Norris, Essential of Telemedicine and Telecare, John
REFERENCES
Wiley & Sons LTD., West Sussex, 2002.
PUSTAKA
x Rifat Latifi, CURRENT PRINCIPLES AND PRACTICES OF
PENUNJANG/OPTIONAL
TELEMEDICINE AND E-HEALTH, IOS press, Amsterdam, 2008.
REFERENCES
x G. Burg, Telemedicine and Teledermatology,
Switzerland, 2003.
PRASYARAT/PREREQUISITE -
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092631: Sistem Manajemen Basis Data Multimedia
MATA KULIAH/
TE – 092631: Multimedia Data Base Management System
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Memberikan pengetahuan tentang konsep sistem manajemen basis data (DBMS) dan komponen- komponennya. Disamping itu, memberikan informasi perkembangan terkini dari DBMS seperti basis data terdistribusi, basis data bergerak, basis data spasial, basis
TUJUAN PEMBELAJARAN/
data fuzzy, basis data stream, basis data semi terstruktur, LEARNING OBJECTIVES dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data
mining). x
To give the knowledge about the concepts of database management system (DBMS) and its components.
To give information about the most recent development of DBMS.
x Mahasiswa mengetahui perbedaan antara sistem file
dan DBMS. x Mahasiswa mengetahui komponen- komponen
penyusun DBMS. x Mahasiswa menguasai perintah SQL untuk pendefinisian
dan pengolahan data.
x Mahasiswa mampu membentuk sebuah database
melalui proses normalisasi.
x Mahasiswa mampu membentuk sebuah database dari
diagram E-R.
KOMPETENSI/
x Mahasiswa mengetahui aplikasi terkini dari DBMS
ITS
COMPETENCY
seperti basis data terdistribusi, basis data bergerak,
basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam
riculum
datawarehouse dan penambangan data (data mining).
/Cur
x Students understand the difference between file system
and DBMS. x Students understand the constructing components of
DBMS.
Kurikulum
x Students literate SQL instructions for definition and data
processing. x Students can create a database through normalization
process.
x Students can create a database from E-R diagram. x Students understand the most recent applications of
DBMS like distributed database, mobile database, spatial database, a fuzzy database, stream database, half-structured database, distributed multimedia database, and the role of database in data warehouse and data mining.
TOPIK DBMS
1. Sistem file dan DBMS, model database (hirarki, jaringan, dan relational), diagram E-R, query relational, integrity
dan security, desain database relasional (dependency, integrity, bentuk normal, normalisasi, dan dekomposisi.
2. Komponen DBMS, penyimpanan, struktur file, dan organisasi, dan indexing. Pemrosesan query, optimisasi
query, manajemen transaksi, kontrol konkuren, dan sistem recovery.
TOPIK TAMBAHAN
Basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta
POKOK BAHASAN/
peran basis data dalam datawarehouse dan penambangan
SUBJECTS
data (data mining). x File system and DBMS, database model (hierarchy,
network, and relational), E-R diagram, query relational, integrity and security, relational database design
(dependency, integrity, normal form, normalization, and
decomposition. x Components of DBMS, storage, file structure,
organization, and indexing. Query processing, query
optimization, transaction management, concurrent control, and recovery system.
x Distributed database, mobile database, spatial
ITS
database, a fuzzy database, stream database, half- structured database, distributed multimedia database, and the role of database in data warehouse and data
riculum
mining. x Silberschatz, Korth, Sudarshan, Database System
/Cur
PUSTAKA UTAMA/ MAIN
Concept, Fifth Edition, McGraw-Hill, 2006.
REFERENCES
x Raghu Ramakrisnan, Database Management Systems ,
Second Edition, McGraw-Hill, 2006.
Kurikulum
PUSTAKA PENUNJANG/OPTIONAL
REFERENCES PRASYARAT/PREREQUISITE -
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092632: Kecerdasan Bisnis
MATA KULIAH/
TE – 092632: Business Intelligent
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Memberikan pengetahuan tentang lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang. Disamping itu memberikan pemahaman tentang pola data yang bisa ditambang seperti pola kerap, asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan pola pada berbagai aplikasi seperti data stream, data sekuen, data
TUJUAN PEMBELAJARAN/
WEB. LEARNING OBJECTIVES x Give knowledge about the scope and background of
bussiness intelligence, mining the data and data type to
be mined. x Give an understanding about pattern of data to be
mined such as frequent pattern, asscociation, classification, prediction, clustering, and other pattern in various application such as stream data, sequence data, and WEB data.
x Mahasiswa mengetahui lingkup dan latar belakang penambangan data, jenis data dan pola data yang bisa
ditambang. x Mahasiswa mengetahui prosedur yang dilakukan untuk
persiapan data seperti pembersihan data, integrasi data,
transformasi data dan reduksi data.
x Mahasiswa mengetahui peran datawarehouse dan teknologi OLAP dalam penambangan data.
x Mahasiswa mengetahui pola umum seperti
KOMPETENSI/
summarization, pola kerap, dan pola dari data stream,
ITS
time series, data sekuen, data spasial, data multimedia,
COMPETENCY
data teks, data WEB. x Mahasiswa memahami teknik penambangan pola
riculum
asosiasi dan korelasi.
/Cur
x Mahasiswa memahami teknik klasifikasi untuk penambangan data seperti decision trees (classification tree & regression tree), analisis diskriminan, k-Nearest Neighbor, dan neural network.
Kurikulum
x Mahasiswa memahami teknik prediksi untuk penambangan data seperti loss functions, model linear
3 x Mahasiswa memahami metode klastering untuk 4
dan non-linear.
penambangan data seperti partitional, hirarki, diskriminatif dan generatif, serta kohonen network.
x Students know the scope and background of business intelligence, mining the data and data type to be mined.
x Students know the procedure needed for data preparation such as data cleaning, data integration,
data transformation and data reduction. x Students know the role of datawarehouse dan OLAP
technology in bussiness intelligence. x Students know global pattern in business intelligence
such as summarization, frequent pattern, and pattern in stream data, time series data, sequence data, spatial data, multimedia data, text data, and WEB data.
x Students understand techniques in bussiness intelligence
such as asscociation and correlation. x Students understand classification techniques such as
decision trees (classification tree & regression tree), discriminant analysis, k-Nearest Neighbor, and neural network.
x Students understand prediction techniques such as loss functions, model linear and non-linear.
x Students understand prediction clustering techniques such as partitional, hierarchy, discriminative and
generative, and kohonen network. x Lingkup dan latar belakang penambangan data dan jenis
data yang bisa ditambang. x Berbagai teknik dalam penambangan data yang
mencakup asosiasi dan korelasi, klasifikasi, prediksi,
klastering, dan teknik untuk mendapatkan pola kerap,
POKOK BAHASAN/
serta teknik untuk mendapatkan pola pada berbagai
SUBJECTS
aplikasi seperti data stream, data sekuen, data WEB.
x Scope and background bussiness intelligence and data
ITS
type to be mined.
x Various techniques in bussiness intelligence such as asscosiation, correllation, classification, prediction,
riculum
frequent pattern, and techniques to find pattern in
stream data, sequence data, and WEB data.
/Cur
x Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, Second
PUSTAKA UTAMA/ MAIN
Edition, 2006.
REFERENCES
x Ian H.Witten and Eibe Frank, Data Mining: Practical
Kurikulum
Machine Learning Tools and Techniques, Morgan Kaufmann, Second Edition, 2005.
x Nong Ye, The handbook of data mining, Lawrence
Erlbaum Associates, Inc., 2003.
PUSTAKA PENUNJANG/OPTIONAL REFERENCES PRASYARAT/PREREQUISITE -
09 : 20 ITS
riculum /Cur
Kurikulum
TE – 092633: Pengolahan Citra Digital
MATA KULIAH/
TE – 092633: Digital Image Processing
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Memberikan pengetahuan tentang citra dan video digital, mulai dari akuisisi, penyimpanan, pemampatan, pengiriman, dan pengolahannya seperti perbaikan, restorasi, serta segmentasi, deskripsi, representasi, klasifikasi, pengenalan,
TUJUAN PEMBELAJARAN/
dan visualisasi objek dari citra atau video digital. LEARNING OBJECTIVES The students understand about digital image and video,
including acquisition, storage, compression, transferring, and processing like enhancement, restoration, segmentation, description, representation, classification, recognition, and visualization of digital image and video.
x Mahasiswa mengetahui lingkup pengolahan citra dan
video digital. x Mahasiswa mengetahui teknik dan metode akuisisi citra
dan video digital dan peralatan akuisisinya. x Mahasiswa memahami teknik dan metode
penyimpanan, dan pemampatan citra dan video digital.
x Mahasiswa memahami teknik dan metode pengiriman
citra dan video digital. x Mahasiswa memahami teknik dan metode perbaikan,
restorasi, dan representasi citra dan video digital.
x Mahasiswa memahami teknik dan metode segmentasi,
KOMPETENSI/
deskripsi, representasi, klasifikasi, pengenalan, dan visualisasi objek dari citra atau video digital.
ITS
COMPETENCY
x Mahasiswa mengetahui penerapan satu atau kombinasi beberapa teknik atau metode untuk aplikasi tertentu.
x The students understand about digital image and digital
riculum
video processing. x The students understand about the techniques and
/Cur
methods of digital image and digital video acquisition and its equipments.
x The students understand about the techniques and methods of storage and compression of digital image
Kurikulum
and digital video. x The students understand about the techniques and
methods of transferring digital image and digital video. x The students understand about the techniques and methods of transferring digital image and digital video. x The students understand about the techniques and
x The students understand about the techniques and methods of segmentation, description, representation, classification, recognition, dan visualisation of digital image and digital video.
x The students understand about the combination of several techniques and methods in certain applications.
x Teori tentang sinyal dan transformasinya, multiresolution, wavelet, dan mathematical
morphology. x Pokok bahasan tentang citra dan video digital mencakup
teknik dan metode akuisisi, perbaikan kualitasnya dan restorasi, representasi, dan pemampatan citra (lossy
POKOK BAHASAN/
dan lossless). Pokok bahasan juga mencakup teknik dan metode segmentasi objek pada citra untuk proses lebih
SUBJECTS
lanjut seperti registrasi, pencocokan (matching) serta pengenalan.
x Theory about signal and its transformation, multi- resolution, wavelet, and mathematical morphology.
x Techniques and methods of digital image and digital video acquisition, enhancement and restoration,
representation, compression (lossy dan lossless), registration, matching, and recognition.
x Alan C. Bovik, Handbook of Image and Video Processing,
PUSTAKA UTAMA/ MAIN
Academic Press, 2000.
REFERENCES
x Rafel C. Gonzalez, Digital Image Processing, 3 Ed.,
rd
Pearson Education, 2008.
PUSTAKA
x Rafel C. Gonzalez, Digital Image Processing using
PENUNJANG/OPTIONAL
Matlab, Pearson Education, 2003.
REFERENCES
ITS
PRASYARAT/PREREQUISITE -
riculum
/Cur
Kurikulum
TE – 092634: Kecerdasan Buatan
MATA KULIAH/
TE – 092634: Artificial Intelligent
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
TUJUAN PEMBELAJARAN/
Mahasiswa mengetahui dan mampu menjelaskan Kecerdasan buatan beserta aplikasinya.
LEARNING OBJECTIVES Students know and able to describe artificial intelligent and its application. x Mahasiswa mampu menjelaskan konsep dan teknik-
teknik Kecerdasan buatan.
KOMPETENSI/
x Mahasiswa mampu melakukan simulasi konsep tersebut
COMPETENCY
pada aplikasi yang sebenarnya. x Student able to describe concept and techniques of
artificial intelligence. x Student able to apply the concept in real applications.
x State-Driven Agent Design
POKOK BAHASAN/
x Autonomously Moving Game Agents
SUBJECTS
x Sports Simulation x Flocking x Rule Base x Decision under uncertainty
PUSTAKA UTAMA/ MAIN
David M Bourg, Glenn Seaman,AI for Game Developers, O
REFERENCES
Reilly, 2004.
PUSTAKA
x Russel Norvig, Artificial Intelligence A Modern Approach,
PENUNJANG/OPTIONAL
Prentice Hall, 2003.
x Mat Buckland , Programming Game AI by Example,
REFERENCES
Wordware Publishing, 2005.
ITS
PRASYARAT/PREREQUISITE -
riculum
/Cur
Kurikulum
TE – 092635: Komputasi Fault-tolerant
MATA KULIAH/
TE – 092635: Fault-tolerant Computation
COURSE TITLE
Sks /Credits: 2 MK Pilihan/Additional optional courses
Mempelajari konsep-konsep toleransi terhadap gangguan, keandalan dan sistem yang dapat diandalkan pada sistem
TUJUAN PEMBELAJARAN/
komputasi, serta teknik-teknik yang terkait.
LEARNING OBJECTIVES
To study fault-tolerant and reliability concepts and dependable systems for computation, as well as related techniques. Mahasiswa mampu: x Memahami konsep-konsep toleransi terhadap gangguan
dan keandalan suatu sistem, serta teknik-teknik implementasinya.
x Memahami konsep keberlebihan suatu sistem dan kemampuan pemulihan suatu sistem, serta
implementasi sistem yang dapat diandalkan.
KOMPETENSI/
x Menganalisa keandalan suatu perangkat lunak dan
sistem komputasi.
COMPETENCY
The students are expected to be able:
xx To understand fault-tolerant concept and reliability of a
system, as well as implementation of related techniques.
x To understand redundancy and recovery capability of a
system, as well as the implementation of dependable system .
x To analyze the reliability of software or computation
system.
ITS
x MPenyegaran: teori probabilitas dan arsitektur
computer x Pengantar komputasi yang tahan gangguan, keandalan
riculum
dan ketersediaan
/Cur
POKOK BAHASAN/
x Teknik-teknik pengkodean: jarak kode, kode bit paritas, kode deteksi kesalahan dan pengiriman ulang, kode
SUBJECTS
koreksi kesalahan burst x Penyegaran: teori keandalan
Kurikulum
x Keberlebihan, cadangan dan perbaikan: keberlebihan sistem versus komponen, keberlebihan paralel, sistem
standby, sistem yang dapat diperbaiki, keandalan sistem