Probability distribution intro

Overview

• Read the information on course page.

Material

• Book is the same as for Probability theory. We do chapters 7–10.
• notes.pdf
• memoryless_excursions.pdf

Lectures

General lectures:

• See the online lectures of Blitzstein for general overview and background

Our lectures:

• one hour, first hour on the schedule.
• We show how to solve problems that are at exam level.
• The problems will be made available on line, before the lecture. Solutions will become available after the lecture.
• You don't have to be there if you prefer to do the work on your own or with your fellow students.

Tutorials

• Attentance in other courses proves to be very low.
• Post questions on the discussion board on nestor. We discuss those problems and the solutions during the tutorial.
• The material will be available in discussion_board_questions.pdf.
• There will be one tutorial, see the course page for which one and when.

Assignments

• Assignment, simple questions, one exam type of question, coding, challenges
• Code language: choose python and or R. Just what you like
• Run the code. We provide it. But you have to run it, and sometimes apply minor changes, such as different parameters
• You have understand the code. In the exam we will ask you to explain code examples. These examples will be in python and R.
• Challenges
• We make groups of two persons. Every week you have to work with another person

Grading

See the course page for the details.