Astroinformatics (1st semester, academic year 2022)

Important announcements

• Time of the lecture on 12/Sep/2022
• The time of the lecture on 12/Sep/2022 is changed from 10:00 to 17:00.
• Time of the lecture on 19/Sep/2022
• The time of the lecture on 19/Sep/2022 is changed from 10:00 to 17:00.
• Time of the lecture on 26/Sep/2022
• The time of the lecture on 26/Sep/2022 is changed from 10:00 to 17:00.
• Now, publicly accessible version of course material is available.
• publicly accessible version of course material

Course overview

• Course name: "Astroinformatics"
• Course ID: AS6095
• Semester: first semester of academic year 2022 (from Sep/2022 to Jan/2023)
• Lecture hours: 09:00 to 11:50 on Monday
• Classroom: S4-914
• Instructor: Kinoshita Daisuke
• Contact address: https://www.instagram.com/daisuke23888/
• Send a message to me if you have an urgent issue to talk to me.

Grading

• Attendance (50 %)
• Easy exercises are given in the classroom as attendance checks.
• You need to write Python scripts and hands them within a week.
• 5 points at maximum for each attendance check.
• You can hand 10 attendance checks at maximum during the semester.
• If you do not show up in the classroom, you cannot submit your attendance check sheet.
• Assignments (50 %)
• You need to hand five assignments during the semester.
• 10 points at maximum for each assignment.
• Deadlines of assignments
• deadline of first assignment: 17:00 on 14/Oct/2022
• deadline of second assignment: 17:00 on 04/Nov/2022
• deadline of third assignment: 17:00 on 25/Nov/2022
• deadline of fourth assignment: 17:00 on 16/Dec/2022
• deadline of fifth assignment: 17:00 on 06/Jan/2023

Things you need to bring to the classroom

• a computer which can run a web browser
• Can be a laptop computer, or a small desktop computer, or a tablet computer.
• a notebook and pens
• You probably need to take a note during the lecture.
• a mobile phone
• You may take a photo for recording purpose.

Preparation for this course

• Installation of your favourite web browser
• such as Firefox or Chrome
• Installation of Python 3
• Visit the official web page of Python to download and install Python 3.
• I test my sample Python scripts with Python 3.9, and the installation of latest version of Python 3.9 series on your computer is highly recommended.
• Installation of your favourite text editor
• Use of GNU Emacs is highly recommended for writing Python scripts.
• Installation of your favourite terminal emulator
• such as XTerm

Schedule

Course material

• To download course material, click a link below.
• jumping to the page to download course material
• A note for downloading course material.
• To download course material, you need to (1) connect to a Wi-Fi of our university, or (2) use VPN (Virtual Private Network) of our university.
• Pay attention whether you are using Wi-Fi or mobile network (4G or 5G) on your mobile phone.
• If you are in the classroom (or in a dormitory room), use Wi-Fi of our university to download course material.
• Connect to the Wi-Fi access point "IANCU", if you are in the classroom.
• Connect to the Wi-Fi access point "NCUWL", if you are outside of our institute but inside the university.
• About the Wi-Fi access point "NCUWL", visit following web page to learn about it.
• https://www.cc.ncu.edu.tw/page/wireless
• If you are at home, use VPN service of our university to download course material.
• About the VPN service of our university, visit following web page to learn about it.
• https://ncu.edu.tw/VPN/help

Publicly accessible version of course material

• combined PDF file
• ai_202209_s00pq.pdf
• ai_202209_s01pq.pdf
• ai_202209_s02pq.pdf
• ai_202209_s03pq.pdf
• ai_202209_s04pq.pdf
• ai_202209_s05pq.pdf
• ai_202209_s06pq.pdf
• ai_202209_s07pq.pdf
• ai_202209_s08pq.pdf
• ai_202209_s09pq.pdf
• ai_202209_s10pq.pdf
• ai_202209_s11pq.pdf
• ai_202209_s12pq.pdf
• ai_202209_s13pq.pdf
• ai_202209_s14pq.pdf
• ai_202209_s15pq.pdf

Sample Python scripts for this course

• Sample Python scripts for this course can be found at following GitHub repository.
• https://github.com/kinoshitadaisuke/ncu_astroinformatics_202209
• Binder
• Executing sample Python scripts using Binder

Assignment submission form

• To submit your assignment, click a link below.
• jumping to the page to submit your assignment.
• A note for submission of assignment
• To submit your assignment, you need to (1) connect to a Wi-Fi of our university, or (2) use VPN (Virtual Private Network) of our university.
• Pay attention whether you are using Wi-Fi or mobile network (4G or 5G) on your mobile phone.
• If you are in the classroom (or in a dormitory room), use Wi-Fi of our university to submit your assignment.
• Connect to the Wi-Fi access point "IANCU", if you are in the classroom.
• Connect to the Wi-Fi access point "NCUWL", if you are outside of our institute but inside the university.
• About the Wi-Fi access point "NCUWL", visit following web page to learn about it.
• https://www.cc.ncu.edu.tw/page/wireless
• If you are at home, use VPN service of our university to submit your assignment.
• About the VPN service of our university, visit following web page to learn about it.
• https://ncu.edu.tw/VPN/help

For your reading

If you a new to Python programming (or you think you are not fluent in Python), read a textbook for Python programming.

• The Python Tutorial
• The Python Standard Library
• Learning Python
• Programming Python
• Python Cookbook
• Think Python
• Introducing Python

Extra activity for practice of Python programming

• If you are new to Python programming and need an extra activity for practice of Python programming in conjunction with the course "Astroinformatics", talk to me.
• If such an activity is needed, I am happy to arrange a crash course on introductory Python programming.

Video files