Welcome and Useful information 30
Valentino González C. 15 Ago 202115/08/21 a las 18:16 hrs.2021-08-15 18:16:15 Info
Hello everyone,
Welcome to Astroinformatics. The purpose of this post is to give you all the information you need about how this course will work.
Course Format
Most of the material this term will be delivered through videos that we will post at the beginning of each week on YouTube. The links for the videos of each week will be posted in the "Links" (enlaces) section.
You have to study that material and answer a test in the "Tests" section that is meant to check your understanding. The deadline to answer these videos is every Friday before 10:00 AM (Chilean Time). The first test will soon be published and will be due on Friday Aug. 20 at 10:00 AM CLT.
You can answer the weekly test while you watch the videos and checking all the resources that you may need (books, webpages, etc.). The only restriction is that you may not discuss the questions with other people, particularly your classmates.
On Fridays, at 10:15 AM CLT we will have a live session that should last between 45 and 60 minutes. In that session we will discuss the material you have already studied. Use this time to ask all your questions. We may also deliver a bit of extra content, show examples, and have interactive activities. These sessions will be recorded and posted on YouTube too. Our first session will be this Friday Aug. 20 at 10:15 AM.
After this session, those who completed the weekly test on time, will have a chance to take it again. Your final grade for the weekly test will be the average between the two trials.
Evaluations
This course has 3 forms of evaluation:
- The weekly tests.
- 2 or 3 Homeworks
- A final research project that you will develop during the last 3.5 weeks of the semester. This is a group project. We will give you more information about the types of projects and how to form groups later but have in mind that the groups will be primarily created based on scientific interests.
The weight of each evaluation for the final grade will be:
20% : The simple average of all the weekly tests.
40% : Homeworks average
40% : Final project (based on final presentation, no written report required)
These are the books on which the course is based:
- Statistics, Data Mining, and Machine Learning in Astronomy, 2014; Ivezić, Connolly, VanderPlas, and Gray. (Includes a python module and a large repository of useful stuff: https://github.com/astroML)
- Modern Statistical Methods for Astronomy, With R Applications, 2012; Fiegelson and Babu.
- Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers), 2003; Wall and Jenkins. Also 2nd edition from 2012.
- Numerical Recipes (any edition, older versions are free in pdf).¶
You don't need to own these books but if you do they may help.
All the materials for the class (which are discussed in the weekly videos) will be kept in a GitHub public repository at https://github.com/thevalentino/AS450-astroinformatica (also available in the enlaces section. Make sure that you checkout the branch "2021B". If all this GitHub and branches is greek to you, please post a question in the forum and we will help you to retrieve the materials.
Good luck to everyone, let's have a productive semester.
Best,
The Profs.
Welcome to Astroinformatics. The purpose of this post is to give you all the information you need about how this course will work.
Course Format
Most of the material this term will be delivered through videos that we will post at the beginning of each week on YouTube. The links for the videos of each week will be posted in the "Links" (enlaces) section.You have to study that material and answer a test in the "Tests" section that is meant to check your understanding. The deadline to answer these videos is every Friday before 10:00 AM (Chilean Time). The first test will soon be published and will be due on Friday Aug. 20 at 10:00 AM CLT.
You can answer the weekly test while you watch the videos and checking all the resources that you may need (books, webpages, etc.). The only restriction is that you may not discuss the questions with other people, particularly your classmates.
On Fridays, at 10:15 AM CLT we will have a live session that should last between 45 and 60 minutes. In that session we will discuss the material you have already studied. Use this time to ask all your questions. We may also deliver a bit of extra content, show examples, and have interactive activities. These sessions will be recorded and posted on YouTube too. Our first session will be this Friday Aug. 20 at 10:15 AM.
After this session, those who completed the weekly test on time, will have a chance to take it again. Your final grade for the weekly test will be the average between the two trials.
Evaluations
This course has 3 forms of evaluation:- The weekly tests.
- 2 or 3 Homeworks
- A final research project that you will develop during the last 3.5 weeks of the semester. This is a group project. We will give you more information about the types of projects and how to form groups later but have in mind that the groups will be primarily created based on scientific interests.
The weight of each evaluation for the final grade will be:
20% : The simple average of all the weekly tests.
40% : Homeworks average
40% : Final project (based on final presentation, no written report required)
Bibliography
These are the books on which the course is based:
- Statistics, Data Mining, and Machine Learning in Astronomy, 2014; Ivezić, Connolly, VanderPlas, and Gray. (Includes a python module and a large repository of useful stuff: https://github.com/astroML)
- Modern Statistical Methods for Astronomy, With R Applications, 2012; Fiegelson and Babu.
- Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers), 2003; Wall and Jenkins. Also 2nd edition from 2012.
- Numerical Recipes (any edition, older versions are free in pdf).¶
You don't need to own these books but if you do they may help.
All the materials for the class (which are discussed in the weekly videos) will be kept in a GitHub public repository at https://github.com/thevalentino/AS450-astroinformatica (also available in the enlaces section. Make sure that you checkout the branch "2021B". If all this GitHub and branches is greek to you, please post a question in the forum and we will help you to retrieve the materials.
Good luck to everyone, let's have a productive semester.
Best,
The Profs.
