| Course Name |
(中) 計算機概論(1303) |
| (Eng.) Introduction to Computer Science |
| Offering Dept |
Department of Electrical Engineering |
| Course Type |
Elective |
Credits |
3 |
Teacher |
OUYANG, YEN-CHIEH |
| Department |
Department of Electrical Engineering / Undergraduate |
Language |
Chinese |
英文/EMI |
|
Semester |
2024-FALL |
| Course Description |
To think algorithmically and solve programming problems efficiently
Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Familiarity in a number of languages, including C, C++ and JAVA. |
| Prerequisites |
|
self-directed learning in the course |
N |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| A broad and robust understanding of computer science and programming |
|
|
| Lecturing |
| Practicum |
| Discussion |
| Networking / Distance Education |
| topic Discussion / Production |
|
| Internship |
| Quiz |
| Study Outcome |
| Assignment |
| Attendance |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Part 1: Computer and Data
1. Introduction |
| Week 2 |
2. Number Systems
|
| Week 3 |
3. Data Storage
|
| Week 4 |
4. Operations on Data
|
| Week 5 |
Part 2: Computer Hardware
5. Computer Organizations
|
| Week 6 |
6. Computer Networks and Internet
|
| Week 7 |
Part 3: Computer Software
7. Operating Systems
|
| Week 8 |
8. Algorithms
|
| Week 9 |
Mid_term Exam,
|
| Week 10 |
9. Programming Languages, 10. Software Engineering
|
| Week 11 |
Part 4: Data Organization
11. Data Structures
|
| Week 12 |
12. Abstract Data Types
|
| Week 13 |
13. File Structures
|
| Week 14 |
14. Databases
|
| Week 15 |
Part 5: Advanced Topics
15. Data Compression
|
| Week 16 |
16. Security
|
| Week 17 |
17. Theory of Computation
18. Artificial Intelligence
|
| Week 18 |
Final Exam |
|
| Evaluation |
Home Work Assignments: 20%,
Test1 5%,
Test2 5%,
Test3 5%,
Mid_term_exam 30%,
Final_exam 35%.
|
| Textbook & other References |
1. Foundations of Computer Science; by Behrouz Forouzan /Fifth Edition
2. Harvard University’s CS50x:
https://www.youtube.com/watch?v=z-OxzIC6pic&list=PLvJoKWRPIu8G6Si7LlvmBPA5rOJ9BA29R |
| Teaching Aids & Teacher's Website |
| https://lms2020.nchu.edu.tw/course/7456 |
| Office Hours |
| 13:30-15:00 Monday |
| Sustainable Development Goals, SDGs |
| 01.No Poverty 04.Quality Education 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure 10.Reduced Inequalities | include experience courses：Y |
|