Course Desc<x>ription
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<br>The ob<x>jective of this course is to assist students to understand the logic 
<br>behind 
<br>Informatics. The subject of Informatics is inspired from the observations on 
<br>natural phenomena and the corresponding logical thinking. Through lectures and 
<br>programming assignments in Python, students can obtain the ability of thinking 
<br>logically and basic programming skills. The subjects in this course are divided 
<br>into three themes:
<br>The scientific laws and rationality
<br>Brief history of Information Science
<br>Programming concepts
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<br>References:
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<br>1. James Gleick, The Information: A History, a Theory, a Flood, Vintage, 2012 
<br>2. 詹姆斯．葛雷易 (譯者： 賴盈滿), 資訊：一段歷史、一個理論、一股洪流, 衛城出版, 2012 
<br>3. Statistical Mechanics: Entropy, Order Parameters, and Complexity, James 
<br>Sethna, Oxford University Press (2006), PDF on-line available. 
<br>4. Wei Pan and Yi-Shin Chen, Network approach for decision making under risk—How 
<br>do we choose among probabilistic options with the same expected value?  
<br>https://doi.org/10.1371/journal.pone.0196060
<br>5. Engines of Logic: Mathematicians and the Origin of the Computer, Martin 
<br>Davis, 
<br>W. W. Norton & Company (2001).
<br>6. Bill Bryson, A Short History of Nearly Everything, Random House, 2017 
<br>7. 比爾·布萊森, 萬物簡史, 天下文化 
<br>8. https://docs.python.org/3
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<br>Teaching Method:
<br>Lectured ba<x>sed, Lab for python code writing, and final project demonstration
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<br>Syllabus
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<br>Language and Understanding
<br>How can we communicate? Through languages. How can our brain understand the 
<br>language signals we received? Do we communicate effectively? Can it be improved? 
<br>In this session, we will learn the "attentions" of languages in an unexpected 
<br>way.
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<br>Lab1: Python Introduction
<br>In this session, the brief of Python instruction will be given. Students will 
<br>have hands-on experience of Python Installation and hello-world waves.
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<br>Brief History of Informatics
<br>This session will introduce a brief history of informatics. We will discover how 
<br>our society forms/formed the modern technology.
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<br>Lab2: Python Basics
<br>In this session, we will learn the basic data types of Pythons. They are 
<br>Strings, 
<br>Integers, Floats, Lists, Tuples, Sets, and key value pairs.
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<br>Scientific Laws
<br>In this session, the concept and the discussion about scientific laws will be 
<br>given. Important concepts including: Observation, Scientific Methods, Paradoxes, 
<br>Causality, and Fallacies.
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<br>Lab3: Loops And Conditional Selections
<br>In this session, the concepts of loops and conditional selection will be 
<br>introduced.
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<br>Online Judge Quiz
<br>Brief History of Informatics
<br>This session will introduce a brief history of informatics. We will discover how 
<br>our society forms/formed the modern
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<br>Decision Making and Strategies in Decision Making
<br>How does human make decisions? Is it rational or irrational? This session will 
<br>discuss the relationality and humanity in decision making.
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<br>Lab4: Structures and Standard Procedures
<br>In this session, we will learn how to structure the programs. The advantages and 
<br>disadvantages will be discussed.
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<br>Lab5: Counting and Sorting
<br>This session will introduce the coding in Computers and the varios ways of 
<br>sorting.
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<br>Lab6 of Plots and Algorithms
<br>In this session, we will briefly introduce ways to code several algorithms and 
<br>the codes to plot.
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<br>Problem Solving and Humanity in Artificial Intelligence Era
<br>This session will breifly introduce the procedures of problem solving. 
<br>Historical examples in messages encoding, the recent artifical intelligence (AI) 
<br>approaches will be introduced. Conclusions for the course will be given as well.
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<br>Evaluation
<br>Homework assignments: 15%
<br>Lab assignments: 15%
<br>Online judge exams: 15%
<br>Final report: 15%
<br>Final project: 15%
<br>Class participation: 25%
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<br>Integrating Ethical Guidelines for Generative AI:
<br>Generative AI tools are to be used only for editing and revising documents. 
<br>Original ideas and content must come directly from students, not AI tools. 
<br>Failure to comply with this rule will result in the assignment being graded as 
<br>zero.