Getting Help

Having questions or getting stuck on something is entirely expected in the learning process. If you find something challenging with your studies, that is a sign you are learning! Learning is not something that you need to do alone though! In fact, connecting with your peers or asking a member of the course staff for help can add extreme depth to your knowledge.

  • Synchronous Help (Office Hours): One place to go to get help is our Office Hours hosted throughout the week. TAs staff office hours for many hours a day to provide you the help you need when you need it! This is a great place to go if you want to review a particular course concept, work on a practice problem with the help of a TA or your peers, or get help on one of the take-home assessments if you are running into difficulties.

  • Asynchronous Help (Ed Discussion): With a class of our size, directly emailing a member of the course staff is not always recommended. There are many of you and only few of us, so if you email one person directly we can’t make a guarantee how quickly we can respond! To alleviate this one-on-one communication of email, we have a course discussion board that will be a much more lively place for discussion and a way to make sure you can get helped more quickly. The message board is set up so that all of the course staff can help you, which will make it more likely for you to receive a quicker response! Course staff look over the Ed Discussion board periodically throughout the day, and we aim to get a response time of about 3 hours during “business hours” (roughly 10 am - 9 pm).

Ed Tips

  • If you are asking a general question about the course logistics or content, you can make a public post. This way other students can benefit from seeing your question, and you can even answer each other’s questions to share your perspectives!
    • If you want, you can choose to post anonymously so that other students in the course can’t see your name. Note that anonymous posting does not hide your identity from the course staff.
  • You’re encouraged to answer each other’s questions as well! Explaining a topic to someone else (even on a discussion board) is a great way to help you better understand the material The course staff will still look over student answers and can nicely point out some misconception if there is one so that everyone benefits.
  • If you have a question that’s pretty specific to your homework solution, or, is about some personal details that you would not want to share with the class (e.g., DRS accommodations), you can make a private post on Ed that is only visible to the course staff. This way, any member of the staff can respond to get you the help you need!
  • For personal sensitive matters that you only want to discuss with Tanmay, you can instead email Tanmay if that makes you feel more comfortable. Note that the response time for Tanmay’s email is longer than posting on the Ed board.

Instructor

Photo of Tanmay Shah

Tanmay Shah he/him

tanmay@cs

Hello Everyone! I am Tanmay. This is my first time instructing CSE/STAT 416 and I am super excited for that. Outside of work, I like to try new restaurants, do hikes and play badminton. Looking forward to meet you all!

Teaching Assistants

Photo of Alex(Xinlei) Liu

Alex(Xinlei) Liu He/Him

xllegion@cs

Hi Everyone! I’m Alex, a third year undergrad student studying CS/ACMS. Outside of CS, I like to play badminton, Go, and 4X video games. Looking forward to have a great quarter with you all!


Photo of Anna Spiro

Anna Spiro She/Her

aspiro17@cs

Hi! I’m a third year CSE PhD student working with Sara Mostafavi in computational biology and machine learning. I grew up in New York, went to undergrad in Vermont, and have loved living out here since then. I enjoy a variety of outdoor things (cross country skiing, walks, swimming, mountain biking) and also like to spend time reading, cooking, and wandering around the city.


Photo of Michael

Michael He/Him

ml10872@cs

Hi! I’m Michael, an undergrad student studying computer science. I’m interested in many areas related to machine learning. In my free time, I like to play chess, basketball, and hang out with friends. Excited to have a great quarter with all of you!


Photo of Pavan Kumar Anand

Pavan Kumar Anand he/him

pka4@uw

Hello Folks! I am a grad student in the ECE majoring in Data Science. This is my 3rd time TA‘ing for CSE/STAT 416 and have only enjoyed it more each time. I love the idea of teaching because it reinforces my concepts and fundamentals. I have had mix of academic and industry experiences in machine learning and data science with diverse domain applications. Please feel free to ping me anytime for help with classwork. Outside class, I enjoy cooking, playing table tennis, and acrylic painting.


Photo of Wenhao Pan

Wenhao Pan He/Him

wenhaop@uw

Hi 416 people! My name is Wenhao Pan, and I’m a first year PhD student in Statistics. I like many sports (basketball, badminton, car racing), video games, and Japanese manga/anime. Recently I have been fell in love with reading Philosophy and Pschology books. It my great pleasure and fortune to teach this class for you. I hope you will enjoy this journey to the world of machine learning!


Photo of Zhaoxing Wu

Zhaoxing Wu She/Her

zwu363@uw

Hello Everyone! My name is Zhaoxing Wu and I am a first-year phd student in statistics. I enjoy good food and hanging out with friends during my free time. Machine learning is a fascinating area and I look forward to work with all of you!


Photo of Zhenman Yuan

Zhenman Yuan She/Her

yzhenman@uw

My name is Zhenman Yuan, and I am currently pursuing a PhD in Statistics. In my free time, I enjoy exploring the world of cuisine and indulging in gardening.