{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

1A+Introduction+Student+Version

1A+Introduction+Student+Version - MS&E 220 Probabilistic...

Info iconThis preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon
1 MS&E 220 Probabilistic Analysis Lecture 1A Introduction and Examples Samuel S. Chiu Stanford University HONOR CODE HouseKeeping: on info sheet Teaching staff, access/help Course website Lectures: slides, in-class exercises Tutorial sessions Web-based session for SCPD students Review sessions: mid-quarter and before the final HW, Quiz, Take-Home, Final HW submission and retrieval • Grading Email responses
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
2 Meet by appointments as well Professor Samuel Chiu (T, Th, 11AM-Noon) – Huang 259, 776-7721 [email protected] Teaching Assistants – Abra Jeffers, [email protected] – Cindie Wu, [email protected] – Thomas Hansmann, [email protected]tanford.edu Course administrator – Roz Morf, Huang 339A, 723-4173 Course web page and Video Accessible to registered students: http://coursework.stanford.edu Recorded lectures: http://cetus.stanford.edu SCPD students A special SCPD folder on course website with relevant information SCPD contact: Abra Jeffers In-class exercises: They will be accessible on course website. You will do them while you attend/watch the lectures.
Background image of page 2
3 Course Information Read course info handout as well as course calendar – you are responsible to know how the class is run. We will communicate to you via email as needed. You are responsible to check the course website for class information Ignorance of the rules is not an excuse. We will not, as a rule, distribute physical copies of handouts – except for strategic reasons • Questions? Text Manuscript Probabilistic Analysis: Structuring, Processing and Communicating Probabilistic Information Available at the Stanford Bookstore. GRADING • Homework, H 20% • Tutorials, Tu 10% Take-Home (Individual), T 27% In-Class Quiz, Q 15% • Final, F 28% Course score: max of the following normalized sum: H+Tu+T+Q+F H+T+Q+F
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
4 Just for this week Review sessions on some background math and simple use of spreadsheet Make sure you know how to do them Come to us for help Work with your fellow classmates HW#0, posted on course website and due next Tuesday in class CA Announcement Math background and Excel session this week Tutorial sessions sign-up Web meeting sessions: mainly for SCPD students, but not exclusive HW submission and retrieval E-mail responses Anything else they want to tell you Strategy and Teaching Elements Lectures, active learning – Lecture slides: two sets, one for you and one for me. Yours, some details are intentionally left blank with in- class exercises Tutorial sessions: small groups, with each CA taking ownership of a group of students – no child left behind is our goal Review sessions: mid-quarter and before the final – for me to get to know how you are doing HW, tutorial practice questions, quiz, take-home, final
Background image of page 4
5 Something about this class How many departments are represented in this class?
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 6
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}