| 開講学期／Course Start | 2022年度／Academic Year 前期／First |
|---|---|
| 開講曜限／Class period | 木/Thu 1 , 木/Thu 2 , 木/Thu 9 , 木/Thu 10 |
| 授業区分／Regular or Intensive | 週間授業 |
| 対象学科／Department | 情報電子工学系専攻情報システム学コース |
| 対象学年／Year | 1年 , 2年 |
| 授業科目区分／Category | 博士前期課程 大学院自専攻科目 |
| 必修・選択／Mandatory or Elective | 選択 |
| 授業方法／Lecture or Seminar | 講義科目 |
| 授業科目名／Course Title | 信号処理特論 |
| 単位数／Number of Credits | 2 |
| 担当教員名／Lecturer | 永野 宏治 (システム理化学科数理情報システムコース) |
| 時間割コード／Registration Code | MP341A |
| 連絡先／Contact |
永野 宏治(46-5420 nagano(at)mmm.muroran-it.ac.jp スパム対策のため@を(at)で表記しています。居室R204) |
| オフィスアワー／Office hours | 永野 宏治(火曜日17:00-18:00) |
| 実務経験／Work experience |
| 更新日／Date of renewal | 2022/03/03 |
|---|---|
| 授業のねらい ／Learning Objectives |
In this course, I will introduce the fundamental ideas of signal and system analysis. Applications of these ideas include not only the sensing system, but also audio and image processing, communications, control theories etc. The course includes basic properties of signals and systems, systems in the time domain and frequency domain. In addition, the practices of signal analysis using the measurement signal of sound or opened data in the internet are included as a group project work. |
| 到達度目標 ／Outcomes Measured By: |
By the end of this course, you should have an understanding of the mathematics of signals in continuous and discrete time, linear time invariant systems and convolution, Fourier transforms and spectrum analysis, and how these tools are used in real applications. |
| 授業計画 ／Course Schedule |
We study this class in 22 and half hours. The proposed schedule below is a guideline only and subject to change. 1 Guidance (Overview of Signal Processing) 2 Significant digits and a rule of technical communication 3 Measurement of sound of instruments 4 Measurement of sound of instruments 5 FFT programing to estimate power spectrum 6 FFT programing to estimate power spectrum 7 Power spectrum analysis of air temperature in Japan 8 Power spectrum analysis of air temperature in Japan 9 Power spectrum analysis of air temperature in Japan 10 Power spectrum analysis of air temperature in Japan 11 Power spectrum analysis of air temperature in Japan 12 Power spectrum analysis of air temperature in Japan 13 Group Discussion and Report Preparation 14 Group Discussion and Report Preparation 15 Project Presentation You should prepare presentation by yourself. You should study in eight hours to prepare for the class in each week. The course schedule might be modified because of corona virus. |
| 教科書 ／Required Text |
Signals and systems Hwei P. Hsu McGraw-Hill Education 2014(ISBN:71829466) |
| 参考書等 ／Required Materials |
信号処理とフーリエ変換 永野宏治著 朝倉書店 2014(ISBN:4254221592)
Digital signal processing Alan V. Oppenheim, Ronald W. Schafer Prentice-Hall 1975(ISBN:132146355) |
| 成績評価方法 ／Grading Guidelines |
Presentation: 100% To pass the course, more than 60% is required. This Grading Guidelines might be modified because of corona virus. |
| 履修上の注意 ／Notices |
Students are required to come to class on time, and not to miss any classes. If you have to miss class due to emergency or illness, then you must notify the instructor directly and in advance. In this course, students will form groups of 3-4 members and complete a project applying the concepts they have learned in the class. Groups will write a project report and present their projects at the final class. |
| 教員メッセージ ／Message from Lecturer |
Before attending the lectures, read the text and handouts. After each class, make sure that you have learned. Use the campus resources; library, office hour, other students. Homework assignments are due on specific date, and no late homework is accepted. |
| 学習・教育目標との対応 ／Learning and Educational Policy |
Educational policy of the division of Information and Electronic Engineering (Computer Systemics Course and Computational Intelligence Course) is 1) cultivating the specialized ability in fundamental information engineering and in various core computer systems based on information science and mathematical science, 2) to foster communication skills, teamwork and ethical considerations, 3) nurture human resources with core technology to maintain and upgrade information society. The learning objectives are close related to the educational policy of 1) and 2). |
| 関連科目 ／Related course |
Linear Systems, Instrumentation Engineering and Digital Signal Processing of undergraduate course. |
| 備考 ／Notes |
Each class will be done in English. The content of this course is the fundamental Informatics and Systemics. The course is supported by Mathematical and Data Science Education Program of Muroran Institute of Technology. DS point=2 |
| No. | 回（日時） ／Time (date and time) |
主題と位置付け（担当） ／Subjects and instructor's position |
学習方法と内容 ／Methods and contents |
備考 ／Notes |
|---|---|---|---|---|
| 該当するデータはありません | ||||
|
Active learning 1-1 ／主体的学修（反転授業，小テスト，振り返り 等） |
学生自身がプログラムを作って音響信号と気温データの周波数解析をする |
|---|---|
|
Active learning 1-2 ／上記項目に係るALの度合い |
50%超 |
|
Active learning 2-1 ／対話的学修（グループ学習，協働，調査体験 等） |
協働してデータの表示方法を検討する。 |
|
Active learning 2-2 ／上記項目に係るALの度合い |
15%～50% |
|
Active learning 3-1 ／深い学修（複数科目の知識の総合化や問題解決型学修 等） |
|
|
Active learning 3-2 ／上記項目に係るALの度合い |
該当なし |