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National Taiwan Normal University Course Outline Fall , 2023 |
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@尊重智慧財產權,請同學勿隨意影印教科書 。 Please respect the intellectual property rights, and shall not copy the textbooks arbitrarily. |
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| I.Course information |
| Serial No. | 3003 | Course Level | Undergraduate / Master |
| Course Code | CSC0056 | Chinese Course Name | 資料通訊 |
| Course Name | Data Communication | ||
| Department | Department of Computer Science and Information Engineering | ||
| Two/one semester | 1 | Req. / Sel. | Sel. |
| Credits | 3.0 | Lecturing hours | Lecture hours: 3 |
| Prerequisite Course | |||
| Comment | ◎Distance learning course All distance learning courses display synchronous learning and face-to-face learning time only. | ||
| Course Description | |||
| Time / Location | ◎Face-to-Face/Online Instruction | ||
| Curriculum Goals | Corresponding to the Departmental Core Goal | ||
| 1. Understand the fundamentals of data communication. |
College: 1-2 Understanding relationship between software and hardware, and operating principle of computer systems Master: 1-2 Understanding relationship between software and hardware, and operating principle of computer systems |
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| 2. Learn topics such as point-to-point communication, multi-access communication, flow control, network routing, and basic queuing theory. |
College: 1-3 Acquainted with foundations of computer science and mathematics Master: 1-3 Acquainted with foundations of computer science and mathematics |
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| 3. Focus on the integration and application of theory. |
College: 2-3 Capability to enhance professional thinking from experience Master: 2-3 Capability to enhance professional thinking from experience |
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| 4. Learn about the current progress of relevant technologies. |
College: 3-1 Capability to conduct innovative research Master: 3-1 Capability to conduct innovative research |
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| II. General Syllabus |
| Instructor(s) | WANG, Chao/ 王超 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Schedule | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Data communication is essential for networked computing systems. The objectives of this course are for students to learn design principles in data communication, to get some ideas of networking systems analysis, and to have some hands-on experience in systems development. This course is structured as a hybrid course (數位課程) on Taiwan Online Campus. The lectures are divided into three categories: asynchronous online (learn at your own pace), synchronous online (real-time online class), and traditional face-to-face (physically in classroom). Course materials will be posted on Moodle. The students should have some working knowledge in both C and Linux. We will study the codebase of Eclipse Mosquitto and will learn how to trace and modify an open source implementation at such a scale. This course is designed for third-/fourth-year undergraduate students and graduate students. Students taking this course are assumed to have learned what has been covered in the first two years of study in our department (data structures, algorithms, probability, etc.). We shall not repeat those materials in this course. Topics: (asynchronous online lectures (AO); synchronous online (SO); face-to-face (F2F))
For more information, see https://web.ntnu.edu.tw/~cw/csc0056/ |
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| Instructional Approach | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Methods | Notes | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Formal lecture | Lectures | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Group discussion | Online/Offline discussion | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lab/Studio | Linux network programming | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Media, audio, visual materials | Integration of some online materials for overall learning experience | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| Grading assessment | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Methods | Percentage | Notes | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Assignments | 50 % | Homework assignments | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Midterm Exam | 15 % | Midterm exam | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Final exam | 15 % | Final exam | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Class discussion involvement | 20 % | Online/Offline participation (including Moodle platform interactions) | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Required and Recommended Texts/Readings with References | [1] Harchol-Balter, Mor. Performance modeling and design of computer systems: queueing theory in action. Cambridge University Press, 2013. ISBN 9781107027503. (Read it at NTNU library. Our library also owns an e-copy; click here via campus network.) [2] Bertsekas, Dimitri and Gallager, Robert. Data networks (2nd edition). Prentice Hall, 1992. ISBN 0132009161. (Read it at NTNU library) (author’s page) |
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