2022 Introduction to Information and Communications Engineering

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Academic unit or major
Undergraduate major in Information and Communications Engineering
Instructor(s)
Yamada Isao  Takahashi Atsushi  Uyematsu Tomohiko  Ogata Wakaha  Fukawa Kazuhiko  Yamaguchi Masahiro  Takagi Shigetaka  Nakamoto Takamichi  Isshiki Tsuyoshi  Yamaoka Katsunori  Kasai Kenta  Shinozaki Takahiro  Hara Yuko  Nakahara Hiroki  Kitaguchi Yoshiaki  Matsumoto Ryutaroh  Sasaki Hiroshi  Nishio Takayuki  Watanabe Yoshihiro  Kumazawa Itsuo  Okumura Manabu  Funakoshi Kotaro  Kaneko Hirohiko  Nakayama Minoru  Koike Yasuharu 
Class Format
Lecture    (HyFlex)
Media-enhanced courses
Day/Period(Room No.)
Mon7-8(S222)  Thr7-8(S222)  
Group
-
Course number
ICT.C201
Credits
2
Academic year
2022
Offered quarter
1Q
Syllabus updated
2022/3/16
Lecture notes updated
-
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 fields, i.e., Communication, Network, Security / Signal Processing / Circuits and systems, VLSI technology / Human-Centric Information Systems. A series of lectures which is designed for students with no prior experience teaches the essential concepts and/or the state-of-the-art technologies in each corresponding domain.

Student learning outcomes

By the end of this course, students will be able to:
1) grasp basic ideas in the fundamental fields of Information and Communications Engineering
2) understand the relationships among many ideas that will be specialized in the advanced courses in the department
3) draw a roadmap of the relevant areas for further specialization

Keywords

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

Competencies that will be developed

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

Class flow

Assuming a prerequisite learned until freshman year, each instructor presents a lecture on the essential concepts or the state-of-the-art technologies in the fundamental fields (i.e., Communication, Network, Security / Signal Processing / Circuits and systems, VLSI technology / Human-Centric Information Systems) 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 Communiation Theory Explain the overview of communication theory
Class 7 Introduction to Communication Networks Explain the architecture of communication network
Class 8 Introduction to Wireless Communication Explain the overview of wireless communications
Class 9 Introduction to Cryptography Explain the main idea and role of cryptography
Class 10 Introduction to Signal Processing Explain the main idea and role of signal processing
Class 11 Introduction to Image Processing Explain the overview of image processing
Class 12 Introduction to Machine Learning Explain the overview of machine learning
Class 13 Introduction to Language Processing Explain the overview of natural language processing
Class 14 Introduction to Human Information Processing Explain the overview of human information processing

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, for each class the students are encouraged to spend approximately 100 minutes for preparation and another 100 minutes for review (including assignments) by referring to textbooks and other course materials.

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 answers to exercises, 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 only accept 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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