111-1 Full Syllabus of Da-Yeh University

Information
Course Name Computational Thinking Serial No./ID 0040 / CDC08768
Required or Elective/ Credit Required / 2 Time/Place (Tue)56 / A406 
Language Chinese Grade Type Number
Faculty /Full-time or Adjunct Ling-Ling Huang / Full-time Graduate Class Non-graduating Class
Academic System /Dept/Class, Grade Bachelor Degree Program / Liberal Arts Center / Class 1, Grade 4
Office Hour / Place (Tue) 10:10~11:00, (Tue) 11:10~12:00, (Fri) 10:10~11:00, (Fri) 11:10~12:00 / H429
Co-teaching Faculty None
Introduction
The goal of this course is to teach students to become digital citizens and to develop logical thinking skills so that they can learn problem-solving strategies, steps, and processes and can make good use of information tools to implement problem-solving practices. Learning computational thinking helps to understand how computers work, that is, how computers "think" and execute instructions. Not only is it helpful to computer science majors, it can also be applied to different disciplines, including literature, arts, sports and other non-computer science fields. After completing this course, students will: 1. get familiar with basic application software, 2. develop system thinking, and 3. be able to analyze a problem, find the core issue, and adopt appropriate methods or effectively use technology to solve the problem.
Outline
The contents of this course include three parts: basic application software, logical thinking training, and problem-solving practice, which are described below.
First, the basic application software will focus on the production of slides commonly used in classrooms and workplaces, including creating presentation materials and presentation skills, editing and beautifying slides and customizing slide playing, designing master slides, and integrating with other software.
Second, logical thinking training centered on visual programming and aided by physical teaching tools (such as the Halocode) for students of different majors to easily get started and strengthen their learning motivation to nurture system thinking, including decomposition, pattern recognition, abstraction, and algorithm.
Third, the problem-solving practice is based on problem-based learning in which students are guided to exert their computational thinking ability, propose comprehensive solutions, and ultimately undertake the practice. The problem for students to solve can be a common problem across different fields or a problem that conforms to the characteristics of the college or department.
Prerequisite
None
The Relationship Between Courses and Departmental Core Competencies
English Name
Fundamental Ability
Professional Ability
Practical Ability
Teamwork Spirit
Active Learning
Creativity and Innovation
Global Vision
Professional Ethics
Leadership and Management
Confidence and Perseverance
Humanistic Qualities
Teaching Plan
Core Capability Weight(%)【A】 Ability index(Performance Indicators) Teaching Methods Assessment and Weight Core Competency Learning Outcomes【B】 Final Exam Grades【C=B*A】
Teamwork Spirit 25 Consists in helping students display positive attitude in situations involving interpersonal communication, cultivating their ability to align themselves with others’ opinions and needs, and to work together with others for the successful completion
Lecturing
Practical Operation (Experiment, Machine Operation
Course Participation: 10%
Homework Assignment: 40%
Final Exam: 25%
Course Request Professional Certificates: 25%
Total:100 25
Active Learning 25 Consists in helping students actively partake in a variety of learning processes with the aim to achieve self-promotion and self-realization.
Lecturing
Practical Operation (Experiment, Machine Operation
Course Participation: 10%
Homework Assignment: 40%
Final Exam: 25%
Course Request Professional Certificates: 25%
Total:100 25
Creativity and Innovation 40 Consists in fostering students’ creative and critical thinking skills together with their ability to identify and solve problems in an effective way.
Lecturing
Practical Operation (Experiment, Machine Operation
Final Exam: 25%
Homework Assignment: 40%
Course Participation: 10%
Course Request Professional Certificates: 25%
Total:100 40
Global Vision 10 Consists in broadening students’ global perspectives, fostering their ability to understand both the changes of the global community and the development trends of globalization.
Lecturing
Practical Operation (Experiment, Machine Operation
Final Exam: 25%
Homework Assignment: 40%
Course Participation: 10%
Course Request Professional Certificates: 25%
Total:100 10
Grade Proportion
Homework Assignment : 40%
Course Request Professional Certificates : 25%
Final Exam : 25%
Course Participation : 10%
Teaching Material
Teaching Material Book name Author
Guided Reading of Reference Materials and Professional Journals Microsoft MOS PowerPoint 2016 原廠國際認證應考指南(Exam 77-729) 劉文琇
Guided Reading of Reference Materials and Professional Journals Blocky Games (https://blockly.games/) Google
Guided Reading of Reference Materials and Professional Journals Web:Bit 教育版 (https://webbit.webduino.io/) Webduino
Guided Reading of Reference Materials and Professional Journals 大葉大學運算思維教學網 (https://ct.dyu.edu.tw/) 大葉電算中心
Guided Reading of Reference Materials and Professional Journals Code.org網站 (https://code.org) Code.org
Class Progress
Weeks Content Teaching Methods
1 PowerPoint & Intellectual Property Protection (use legitimate textbooks only) & Traffic safety Propaganda Lecturing、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
2 PowerPoint Lecturing、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
3 PowerPoint Lecturing、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
4 PowerPoint - Example Practice Lecturing、Practical Operation (Experiment, Machine Operation
5 PowerPoint - Example Practice Lecturing、Practical Operation (Experiment, Machine Operation
6 PowerPoint - Example Practice Lecturing、Practical Operation (Experiment, Machine Operation
7 PowerPoint - Example Practice Lecturing、Practical Operation (Experiment, Machine Operation
8 Midterm exam Practical Operation (Experiment, Machine Operation
9 Computational Thinking - Decomposition Lecturing、Group Discussion、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
10 Computational Thinking - Pattern Recognition Lecturing、Group Discussion、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
11 Computational Thinking - Pattern Generalization and Abstraction Lecturing、Group Discussion、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
12 Computational Thinking - Algorithm Design Lecturing、Group Discussion、Case Study、Practical Operation (Experiment, Machine Operation、Film Appreciation
13 Computational Thinking Lecturing、Group Discussion、Practical Operation (Experiment, Machine Operation、Group Work
14 Computational Thinking Lecturing、Group Discussion、Practical Operation (Experiment, Machine Operation、Group Work
15 Computational Thinking Lecturing、Group Discussion、Practical Operation (Experiment, Machine Operation、Group Work
16 Computational Thinking Lecturing、Group Discussion、Practical Operation (Experiment, Machine Operation、Group Work
17 Computational Thinking Lecturing、Group Discussion、Practical Operation (Experiment, Machine Operation、Group Work
18 Computational Thinking - Student Presentation Practical Operation (Experiment, Machine Operation