Artificial Intelligence Programming with Python

Serial Number
55704
Course Number
IMPS1004
Course Identifier
H41 10040
Class 02
3 Credits
A6
No Target Students
- No Target Students
CHEN, YAN-BIN
- View Courses Offered by Instructor
- COMMON GENERAL EDUCATION CENTER Master Program in Statistics of National Taiwan University
- yanbin@ntu.edu.tw
- Room 212, Chee-Chun Leung Cosmology Hall (次震宇宙館 212室)
- 02-33664688
- Website
  https://sites.google.com/view/yan-bin/home
Tue A, B, C
普304
Type 2
Students can add courses online with the given permission number by the class instructor
40 Student Quota
NTU 40
No Specialization Program
English
NTU COOL

Notes
The course is conducted in English。For non-EECS college students.。A6:Mathematics, Digital Competence, and Quantitative Analysis
NTU Enrollment StatusNTU students only. Updated every five minutes during the course selection period.
Enrolled
0/40
Other Depts
0/0
Remaining
0
Registered
0
Course Description
The course is a practical programming class focused on artificial intelligence (AI). It aims to teach students introductory AI concepts and enable them to develop simple AI applications using Python. Specifically designed for non-EECS (Electrical Engineering and Computer Science) college beginners, the course covers the basic to advanced concepts of the Python programming language. The examples and exercises provided in the course primarily emphasize AI applications. Additionally, the course introduces a few contemporary AI applications. The course is taught in English, but bilingualism is acceptable for discussions and Q&A sessions. Teaching methods in each week: 50 mins: Lecture on the programming skill. 80 mins: Students engage in hands-on exercises and teamwork. 20 mins: Lecture on the fundamental knowledge. If you would like to take the course but were unable to successfully enroll, please come to class in the first week. However, if the numer of extra enrollment students is larger than five, we may select five from them to obtain the authrization codes.
Course Objective
At the beginning of this class, students are expected to have hands-on programming experience in the Python language. By the end of the curriculum, they will be able to showcase their artificial intelligence programs through their final projects.
Course Requirement
The students should take along with their laptops in the class session.
Expected weekly study hours before and/or after class
4 hours
Office Hour
*This office hour requires an appointment
Designated Reading
Month 1,2: Book 1 Chapter 2,3,4,5 Month 2,3: Book 1 Chapter 6,7,8,9 Month 3,4: Book 2 Chapter 1,2,4
References
Book 1: Python for Data Analysis, 3E --- Data Wrangling with Pandas, NumPy, and Jupyter, 2022 By Wes McKinney Book 2: Artificial Intelligence with Python, 2017 By Prateek Joshi Online reading: Python Tutorial website. (https://www.tutorialspoint.com/python/)
Grading
50%
In class: exercise in class session
50%
Final: final project (peer evaluation 10%)

Adjustment methods for students

Adjustment Method	Description
A3	提供學生彈性出席課程方式 Provide students with flexible ways of attending courses
B5	團體報告取代個人報告 Group report replace Personal report
B6	學生與授課老師協議改以其他形式呈現 Mutual agreement to present in other ways between students and instructors
C2	書面(口頭)報告取代考試 Written (oral) reports replace exams
D1	由師生雙方議定 Negotiated by both teachers and students

Make-up Class Information

Course Schedule

Week 1		Introduction
Week 2		[Part 1: Basic Python for Beginners] Introduction to Python & Environment Setup (Chap 2)
Week 3		Python Syntax and Data Structure (Chap 3)
Week 4		Array and Vectorized Computations for Common Data Processing Tasks (Chap 4)
Week 5		Pandas (Chap 5)
Week 6		Plot and Visualization (Chap 9)
Week 7		Functions and Loops
Week 8		Data Loading (Chap 6)
Week 9		Handling of Missing Data in Pandas (Chap 7)
Week 10		Data Wrangling: Sort, Merge, Concatenate (Chap 8)
Week 11		[Part 2: AI Programming] Simple Machine Learning and Deep Learning
Week 12		Deep Learning, CNN
Week 13		Final Project Presentation I
Week 14		Final Project Presentation II
Week 15		Real Case Discussion
Week 16		Other Issues for the Python Programming

Artificial Intelligence Programming with Python - For Beginners