5 Week 5

  • Dates: 09/20/2021 - 09/26/2021

5.1 Lectures

Topic Video Mirror Notes
5.1 NumPy: Mathematical & Statistical Methods [ClassTranscribe] [YouTube] [5.1]
5.2 NumPy Application: Random Walks [ClassTranscribe] [YouTube] [5.2]

5.2 Discussion/Lab

  • No lab

5.3 Homework

  • [Homework 04] - Due: Friday 10/01/2021

5.4 Deadlines

  • Lab 04 - 11:59 PM Tuesday 09/21/2021
  • HW 03 - 11:59 PM Friday 09/24/2021 (80% - 11:59 PM Sunday 09/26/2021)

5.5 Upcoming - Exam 1

5.5.1 Location, Date, and Time

  • Time: 7:00 PM - 8:50 PM Tuesday 09/28/2021.
    • You will be given 110 minutes to complete the exam.
  • Format: PrairieLearn exam.
  • Proctor Service: Course staff proctoring through Zoom.
  • Conflict exams:
    • Option 1: Tuesday 09/28/2021, 8:00 PM - 9:50 PM
    • Option 2: Wednesday 09/29/2021, 8:00 AM - 9:50 AM
  • To take the conflict exam, please submit a conflict request here by 7:00 PM Monday 09/27/2021. After that, I will not approve any conflict exam request.
    • Note that submitting a conflict request does NOT guarantee approval. You will receive an email with the decision (approval/deny) within 1 business day of submission.

5.5.2 Exam Content

All content from week 1 up until the end of week 5.

  • Lab 01
  • 1.3 Basics of Programming
  • 1.4 Data Types
  • 2.1 Control Flow
  • 2.2 Function
  • Lab 02
  • 2.3 Tuple
  • 3.1 List
  • 3.2 Dictionary
  • Lab 03
  • 3.3 Errors & Exception Handling
  • 4.1 NumPy Basics: Part 1
  • 4.2 NumPy Basics: Part 2
  • Lab 04
  • 5.1 NumPy: Linear Algebra
  • 5.2 NumPy: Mathematical & Statistical Methods
  • 5.3 NumPy Application: Random Walks

5.5.3 Materials Provided

  • No material will be provided.

5.5.4 Materials Needed

  • Laptop with high-speed internet.
  • Phone with camera or other device with camera used for proctoring.

5.5.5 Materials Allowed

  • Materials on the course website at https://stat430.hknguyen.org.
  • The use of Jupyter Notebook on your local computer.
    • Only blank new notebooks will be allowed.

5.5.6 Exam Format

The exam consists of 10 questions:

  • 4 multiple-choice questions
  • 6 coding questions

The point structure for each question type is described as followed:

  • For multiple-choice questions, you will get 2 attempts: 1st attempt with 100% credit, 2nd attempt with 50% credit.
  • For the coding questions, you will get 10 attempts for each question with full credits. After those 10 attempts, you will get 5 more attempts with 75% credit.
  • So, it is highly recommended that you first work on the question in Jupyter Notebook and test it before submitting your answer to PL.

5.5.7 Academic Integrity

In short, don’t cheat. Any violation will be punished as harshly as possible.