2019 Introduction to Information and Communications Engineering

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Academic unit or major
Undergraduate major in Information and Communications Engineering
Instructor(s)
Uyematsu Tomohiko  Ogata Wakaha  Fukawa Kazuhiko  Yamaguchi Masahiro  Yamada Isao  Takagi Shigetaka  Nakamoto Takamichi  Takahashi Atsushi  Isshiki Tsuyoshi  Yamaoka Katsunori  Kasai Kenta  Shinozaki Takahiro  Sugino Nobuhiko  Hara Yuko  Nakahara Hiroki  Kitaguchi Yoshiaki 
Course component(s)
Lecture
Day/Period(Room No.)
Mon1-2(S422)  Thr1-2(S422)  
Group
-
Course number
ICT.C201
Credits
2
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/4/4
Lecture notes updated
2019/6/3
Language used
Japanese
Access Index

Course description and aims

This course is designed for beginners as a comprehensive introduction to broad range of the Information and Communications Engineering especially to its fundamental regions, i.e., Communication systems, Signal Processing / Circuits and systems, VLSI technology. A series of 15 omnibus lectures is presented in understandable ways on the essential concepts or the state-of-the-art technologies in the regions.
.

Student learning outcomes

By the end of this course, the students will be able to:
1) grasp basic ideas in the fundamental regions of Information and Communications Engineering.
2) understand relations among many ideas that will be specialized in the advanced courses in the department.
3) draw a road map to the areas of future specialization.

Keywords

Information Theory, Coding Theory, Communication Systems, Network, Signal Processing, Circuits and Systems, VLSI

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
- - - -

Class flow

Assuming a prerequisite learned until freshman year, each instructor presents an omnibus lecture on the essential concepts or the state-of-the-art technologies in the fundamental regions (i.e., Communication systems, Signal Processing / Circuits and systems, VLSI technology) of Information and Communications Engineering.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction to Analog Circuits Explain the overview of analog circuits
Class 2 Introduction to Digital Circuits Explain the overview of digital circuits
Class 3 Introduction to Computer Systems Explain the overview of computer systems
Class 4 Introduction to Microprocessors Explain the overview of microprocessors
Class 5 Introduction to Sensing Systems Explain the overview of sensing systems
Class 6 Introduction to Software and its Applications Explain the overview of software and its applications
Class 7 Introduction to Embedded Systems Explain the overview of embedded systems
Class 8 Introduction to Communication Networks Explain the architecture of communication network
Class 9 Introduction to Information Theory Explain the overview of information theorytheory
Class 10 Introduction to Coding Theory Explain the overview of coding theory
Class 11 Introduction to Cryptography Explain the main idea and role of cryptography
Class 12 Introduction to Wireless Communication Explain the overview of wireless communications
Class 13 Introduction to Signal Processing Explain the main idea and role of signal processing
Class 14 Introduction to Speech Processing Explain basic concepts of acoustic features, speech synthesis, and speech recognition
Class 15 Introduction to Image Processing Explain the overview of image processing

Textbook(s)

Not specified.

Reference books, course materials, etc.

Lecture materials will be given if necessary.

Assessment criteria and methods

Learning achievement is evaluated by the quality of the written reports and exercise problems, etc.

Related courses

  • LAS.M101 : Calculus I / Recitation
  • LAS.M107 : Calculus Recitation II

Prerequisites (i.e., required knowledge, skills, courses, etc.)

As a general rule, we accept only applications from students in the department of Information and communications Engineering.
Applications from students in the department of Transdisciplinary Science and Engineering are also accepted but are restricted if the number of applications is large.

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