Course title
M20930002
Introduction to Information Processing
Course description
This course delves into the measurement, representation, and communication of information, situating information theory as a critical subset of communication theory. At the heart of communication theory lie two fundamental questions that information theory seeks to answer: What is the limit of data compression, and what is the maximum transmission rate of communication? To address these queries, the course will cover essential topics in information theory, including information measures, lossless and lossy data compression, channel coding, and the theory's connections to and implications for other fields such as machine learning.

Classes will be conducted in-person (face-to-face) in Fall 2024.
Purpose of class
Students are expected to learn the fundamental knowledge of information theory to apply to a range of relevant real situations.
Goals and objectives

Goals and objectives Course Outcomes
1. The students can understand the fundamentals of information theory so that the beauty and utility of information science can be exposed
A-1
2. The students can understand the fundamental limits in communication system and can apply the equipped knowledge to various disciplines in information science
A-1
3. The students themselves can develop good attitude during studying, e.g., proactively discuss with classmates and lecturer, attend the class in time, submit the assignment in time, no cheating during the exam.
A-1
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Mid-term Final Attitude during class Total.
1. 15% 20% 0% 35%
2. 15% 30% 0% 45%
3. 0% 0% 20% 20%
Total. 30% 50% 20% -
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction to Information quantification and probability & statistic Review what you learnt and do the assignments 190分
2. Entropy, Joint entropy and conditional entropy Review what you learnt and do the assignments 190分
3. Relative Entropy and Mutual Entropy Review what you learnt and do the assignments 190分
4. Data processing inequality, sufficient statistic and Fano's inequality Review what you learnt and do the assignments 190分
5. Asymptotic Equipartition Property Review what you learnt and do the assignments 190分
6. Entropy Rate of a stochastic process Review what you learnt and do the assignments 190分
7. Mid-term exam and discussions on the solutions Review all previous lessons and prepare for mid-term exam 190分
8. Data compression (I) Review what you learnt and do the assignments 190分
9. Data compression (II) Review what you learnt and do the assignments 190分
10. Data compression (III) Review what you learnt and do the assignments 190分
11. Channel Capacity (I) Review what you learnt and do the assignments 190分
12. Channel Capacity (II) Review what you learnt and do the assignments 190分
13. Rate distortion theory Review what you learnt and do the assignments 190分
14. Final exam and discussions on the solutions Review all lessons and prepare for final exam 190分
Total. - - 2660分
Goals and objectives (Other Courses)
A:Fundamental Mechanical Engineering B:Advanced Mechanical Engineering C:Environment and Materials Engineering D:Chemistry and Biotechnology E:Electrical Engineering and Robotics G:Advanced Electronic Engineering F:Information and Communications Engineering L:Computer Science and Engineering H:Urban Infrastructure and Environment
Language
English
Evaluation method and criteria
Midterm exam (30%), Final Exam (50%) and Attitude During Class (20%) are the criteria of the grade. More than 60% of the total score is needed for getting the course credit.
<Note>
Students are marked absent from the class if they are late regardless of the delay time.
If students are absent from more than one third of the total number of classes, the credit of this course cannot be given to them.
Even though students are absent from the class whatever the reason, e.g. sickness, delay of public transportation systems, forgetting to bring the student ID card, it is counted as absence.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class Feedback on exams, assignment, etc will be done either in class or via scomb, email, etc.
Textbooks and reference materials
Elements of information theory - 2nd edition, Thomas M. Cover, Joy A. Thomas, 2006
Prerequisites
Probability and statistics
Linear Algebra
Calculus I, II
Office hours and How to contact professors for questions
• Contact based on the appointments
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
• Course that cultivates an ability for utilizing knowledge
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
• 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE