This is the web page for the course "Astroinformatics" offered at Institute of Astronomy, National Central University, from Sep/2023 to Jan/2024.
We do not have a class on 23/Sep/2023. Instead, we discuss about the date/time of a supplementary class on 25/Sep/2023.
We start the class at 17:00 on 25/Sep/2023.
We go back to the original time-slot on 02/Oct/2023. We start the class at 09:00 on 02/Oct/2023.
| Date | Time | Session | Note |
|---|---|---|---|
| 11/Sep/2023 | 09:00--11:50 | Basic Python programming | |
| 18/Sep/2023 | 17:00--19:50 | Importing and using Python modules | The instructor needs to go to Wuling High School for teaching in the morning on 18/Sep. |
| 23/Sep/2023 | 09:00--11:50 | TBA | The class on 23/Sep/2023 is cancelled, and we discuss about the date/time of supplementary class on 25/Sep/2023. |
| 25/Sep/2023 | 17:00--19:50 | Using Numpy for calculations | The instructor needs to go to Wuling High School for teaching in the morning on 25/Sep. |
| 02/Oct/2023 | 09:00--11:50 | Visualisation of data using Matplotlib | |
| 09/Oct/2023 | 09:00--11:50 | No class | National holiday |
| 16/Oct/2023 | 09:00--11:50 | Scientific calculations and analyses using SciPy | |
| 23/Oct/2023 | 09:00--11:50 | Making and using relational database using Python | |
| 30/Oct/2023 | 09:00--11:50 | Astronomical calculations using Astropy | |
| 06/Nov/2023 | 09:00--11:50 | Blackbody radiation | |
| 13/Nov/2023 | 09:00--11:50 | Distribution of asteroids, stars, and galaxies | |
| 20/Nov/2023 | 09:00--11:50 | Hubble diagram and expansion of the Universe | |
| 27/Nov/2023 | 09:00--11:50 | Estimating ages of star clusters | |
| 04/Dec/2023 | 09:00--11:50 | Periodicity analysis of astronomical time-series data | |
| 11/Dec/2023 | 09:00--11:50 | Source extraction and image alignment of astronomical images | |
| 18/Dec/2023 | 09:00--11:50 | Planetary motion and orbital integration | |
| 25/Dec/2023 | 09:00--11:50 | Classification of astronomical objects using machine learning | |
| 01/Jan/2024 | 09:00--11:50 | No class | National holiday |
| 08/Jan/2024 | 09:00--11:50 | TBA |
Course material can be downloaded only from computers / mobile phones connected to the network of our university (140.34.0.0/16). Connect to Wi-Fi of our university to download following files. Always pay attention whether you are using Wi-Fi or mobile network (4G or 5G).
| Date | Material | Note |
|---|---|---|
| 11/Sep/2023 | About this course | The file is available for your download throughout the semester. |
| 11/Sep/2023 | Executing a Python script | The file is available for your download throughout the semester. |
| 11/Sep/2023 | Basic Python programming | The file is available for your download from 08:30 on 11/Sep/2023 to 09:00 on 18/Sep/2023. |
| 11/Sep/2023 | Exercise 01 | The file is available for your download from 11:30 on 11/Sep/2023 to 09:00 on 18/Sep/2023. |
| 18/Sep/2023 | Importing and using Python modules | The file is available for your download from 16:30 on 18/Sep/2023 to 17:00 on 25/Sep/2023. |
| 18/Sep/2023 | Exercise 02 | The file is available for your download from 19:30 on 18/Sep/2023 to 17:00 on 25/Sep/2023. |
| 25/Sep/2023 | Announcements on 25/Sep/2023 | The file is available for your download throughout the semester. |
| 25/Sep/2023 | Using Numpy for calculations | The file is available for your download from 16:30 on 25/Sep/2023 to 17:00 on 02/Oct/2023. |
| 25/Sep/2023 | Exercise 03 | The file is available for your download from 19:30 on 25/Sep/2023 to 17:00 on 02/Oct/2023. |
| 02/Oct/2023 | Visualisation of data using Matplotlib | The file is available for your download from 08:30 on 02/Oct/2023 to 09:00 on 09/Oct/2023. |
| 02/Oct/2023 | Exercise 04 | The file is available for your download from 08:30 on 02/Oct/2023 to 09:00 on 09/Oct/2023. |
| 16/Oct/2023 | Scientific calculations and analyses using SciPy | The file is available for your download from 08:30 on 16/Oct/2023 to 09:00 on 23/Oct/2023. |
| 16/Oct/2023 | Exercise 05 | The file is available for your download from 08:30 on 16/Oct/2023 to 09:00 on 23/Oct/2023. |
| 23/Oct/2023 | Making and using relational database using Python | The file is available for your download from 08:30 on 23/Oct/2023 to 09:00 on 30/Oct/2023. |
| 23/Oct/2023 | Exercise 06 | The file is available for your download from 08:30 on 23/Oct/2023 to 09:00 on 30/Oct/2023. |
| 30/Oct/2023 | Question 07 | The file is available for your download from 08:30 on 30/Oct/2023 to 09:00 on 06/Nov/2023. |
| 30/Oct/2023 | Astronomical calculations using Astropy | The file is available for your download from 08:30 on 30/Oct/2023 to 09:00 on 06/Nov/2023. |
| 30/Oct/2023 | Exercise 07 | The file is available for your download from 08:30 on 30/Oct/2023 to 09:00 on 06/Nov/2023. |
| 06/Nov/2023 | Question 08 | The file is available for your download from 08:30 on 06/Nov/2023 to 09:00 on 13/Nov/2023. |
| 06/Nov/2023 | Blackbody radiation | The file is available for your download from 08:30 on 06/Nov/2023 to 09:00 on 13/Nov/2023. |
| 06/Nov/2023 | Exercise 08 | The file is available for your download from 08:30 on 06/Nov/2023 to 09:00 on 13/Nov/2023. |
| 13/Nov/2023 | Question 09 | The file is available for your download from 08:30 on 13/Nov/2023 to 09:00 on 20/Nov/2023. |
| 13/Nov/2023 | Distribution of asteroids, stars, and galaxies | The file is available for your download from 08:30 on 13/Nov/2023 to 09:00 on 20/Nov/2023. |
| 13/Nov/2023 | Exercise 09 | The file is available for your download from 08:30 on 13/Nov/2023 to 09:00 on 20/Nov/2023. |
| 20/Nov/2023 | Question 10 | The file is available for your download from 08:30 on 20/Nov/2023 to 09:00 on 27/Nov/2023. |
| 20/Nov/2023 | Hubble diagram and expansion of the Universe | The file is available for your download from 08:30 on 20/Nov/2023 to 09:00 on 27/Nov/2023. |
| 20/Nov/2023 | Exercise 10 | The file is available for your download from 08:30 on 20/Nov/2023 to 09:00 on 27/Nov/2023. |
| 27/Nov/2023 | Question 11 | The file is available for your download from 08:30 on 27/Nov/2023 to 09:00 on 04/Dec/2023. |
| 27/Nov/2023 | Estimating ages of star clusters | The file is available for your download from 08:30 on 27/Nov/2023 to 09:00 on 04/Dec/2023. |
| 27/Nov/2023 | Exercise 11 | The file is available for your download from 08:30 on 27/Nov/2023 to 09:00 on 04/Dec/2023. |
| 04/Dec/2023 | Question 12 | The file is available for your download from 08:30 on 04/Dec/2023 to 09:00 on 11/Dec/2023. |
| 04/Dec/2023 | Periodicity analysis of astronomical time-series data | The file is available for your download from 08:30 on 04/Dec/2023 to 09:00 on 11/Dec/2023. |
| 04/Dec/2023 | Exercise 12 | The file is available for your download from 08:30 on 04/Dec/2023 to 09:00 on 11/Dec/2023. |
| 11/Dec/2023 | Question 13 | The file is available for your download from 08:30 on 11/Dec/2023 to 09:00 on 18/Dec/2023. |
| 11/Dec/2023 | Source extraction and image alignment of astronomical images | The file is available for your download from 08:30 on 11/Dec/2023 to 09:00 on 18/Dec/2023. |
| 11/Dec/2023 | Exercise 13 | The file is available for your download from 08:30 on 11/Dec/2023 to 09:00 on 18/Dec/2023. |
| 18/Dec/2023 | Question 14 | The file is available for your download from 08:30 on 18/Dec/2023 to 09:00 on 25/Dec/2023. |
| 18/Dec/2023 | Planetary motion and orbital integration | The file is available for your download from 08:30 on 18/Dec/2023 to 09:00 on 25/Dec/2023. |
| 18/Dec/2023 | Exercise 14 | The file is available for your download from 08:30 on 18/Dec/2023 to 09:00 on 25/Dec/2023. |
| 25/Dec/2023 | Question 15 | The file is available for your download from 08:30 on 25/Dec/2023 to 09:00 on 01/Jan/2024. |
| 25/Dec/2023 | Classification of astronomical objects using machine learning | The file is available for your download from 08:30 on 25/Dec/2023 to 09:00 on 01/Jan/2024. |
| 25/Dec/2023 | Exercise 15 | The file is available for your download from 08:30 on 25/Dec/2023 to 09:00 on 01/Jan/2024. |
| 25/Jan/2024 | Combined PDF file of all the lecture notes | The file is available for everyone. |
A set of sample Python scripts for the course AS6095 "Astroinformatics" can be downloaded from GitHub repository.
To download a set of sample Python scripts for this course, try following command.
% git clone https://github.com/kinoshitadaisuke/ncu_astroinformatics_202309.git
Jupyter Notebooks are available at Google Colaboratory.
Click a link below to find a link to Google Forms for the attendance check. Connect to the Wi-Fi "IANCU" before clicking following link.
Click a link below to find a link to Google Forms for the exercise submission. Connect to the Wi-Fi of our university (or use VPN of our university) before clicking following link.
For this course, following software is required for this course. Make sure to install it on your computer before the start of the semester.
Basically, you can execute a set of sample Python scripts using Google Colaboratory, and a web browser is an only software you need for this course. Install your favourite web browser on your computer.
If you prefer to execute Python scripts on your own computer, following software are needed.
For this course, we use Google Colaboratory for executing a set of sample Python scripts, and you need your own Google account. If you do not have a Google account, visit Google website and create a new account for you.
