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Course Title
Network Systems 
Subtitle
  
Instructor (Institution)
TSUTSUI Hiroshi ( Faculty of Information Science and Technology ) 
Other Instructors (Institution)
TSUTSUI Hiroshi ( Faculty of Information Science and Technology ) 
Course Type   Open To Other Faculties / Schools OK
Year 2021  Semester 2nd Semester (Fall Term) Course Number 215050 
Type of Class Lecture Number of Credits 2  Year of Eligible Students    
Eligible Department / Class   Other Information  
Numbering Code GIST_MN 5101 
Major Category Code Major Category Title
GIST_MN  Graduate School of Information Science and Technology (Media and Network Technologies)
Level Code Level
5  Specialized Subjects (basics) in graduate level (Master's Course and Professional Course), Inter-Graduate School Classes
Middle Category Code Middle Category Title
1  Information communication systems
Small Category Code Small Category Title
0  Netowrk systems
Language Type
Classes are in English.
Course list by the instructor with practical experiences
 

Key Words         
Communications protocols, network security, broadband technologies, wireless communications, orthogonal frequency-division multiplexing (OFDM), integrated circuits, embedded systems, embedded processors, digital media processing, field-programmable gate array (FPGA)

Course Objectives         
In this course, various basic technologies related to network information systems which support today's information society are introduced. The main aim of this course is to acquire knowledge about information theory, coding theory, communication systems, network security issues, and the practical technologies of wireless communication systems and information networks. In addition, the students are expected to acquire knowledge about media processing technologies such as data compression and image coding, and semiconductor integrated circuit technologies for implementation of the media processing.

Course Goals         
This course aims at students' understanding of system and network architectures of personal embedded systems such as smart-phones and digital home appliances. It is expected for the students to obtain basic knowledge for creating novel applications, systems, and services. Through this course, in addition, it is expected for the students to become able to explain the recent security issues related to the network and embedded systems.

Course Schedule         
1) Communication systems (3 lectures)

Source coding, modulation and demodulation, broadband technologies

2) Digital media processing systems (3 lectures)

Data compression, image coding, error correction

3) Network systems (3 lectures)

Network architecture, TCP/IP, Web services, network security

4) Wireless communication systems (3 lectures)

Mobile communication, wireless LAN, OFDM, CDMA

5) System design methodology (3 lectures)

Integrated circuits, VLSI design, FPGA, embedded systems, microprocessors, image signal processors

Homework         
It is required for students to make enough preparation and review before and after each lecture. For each lecture, 90 min preparation and 90 min review are required. Note that two credits are given for 90 hours of study. Lecture materials will be available on the Web.

Grading System         
Students whose attendance rate is less than 70% cannot get any evaluation. Evaluation is based on the term report (90%) and the lecture participation (10%). By the term report, students' deep understanding of a specific technology and presentation skills are evaluated. The evaluation is based on 5 grades. The ratio of S is not greater than 15% of registered students. The ratio of S and A is not greater 50% of registered students.

Practical experience and utilization for classes         

Condition of tasking the subject         

Textbooks         

References will be introduced in the lecture.

Reading List         


Websites         




Website of Laboratory         
Lecture information will be available from https://csw.ist.hokudai.ac.jp/ictech/ . The information required to access this page will be given in the lecture.

Additional Information         
The e-learning content of this course is available in both English and Japanese. Part-time students, students who have difficulty of understanding lectures in terms of language issues, and students who cannot attend this lecture due to specific reasons can utilize this e-learning content.

Update         
2021/01/13 20:10:12

Class Method         

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