Structure of the course
About weather satellites
For lecture 1 and python recap
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Numpy library for array computing
Matplotlib library for visualization
For lecture 2.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
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Examples with Numpy and Matplotlib libraries
About spectral analysis and filters.
Modified 17/12.2024 (typo on slide 22 is corrected).
Filter design in SciPy
Deadline - 16.12.2024, 22-00 in Beijing time
Deadline - 16.12.2024, 22-00 in Beijing time
Amplitude and frequency modulation
Modified 22/12.2024 (some explanations added).
For lecture_4.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Adding noise.
Suppress noise by a bandpass filter.
Modified 22/12.2024 (some explanations added).
AM and FM demodulation.
Normalized cross correlation
Modified 23/12.2024 (some explanations added, on slides 10 and 12 an error fixed).
On material of Practicum_3 and Lecture_5.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Detection of sync pulses
Creating own classes
Modified 23/12.2024 (some explanations added).
On material of the Lecture_6.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Class creation examples
Finishing our simulation model
Modified 24/12.2024 (some explanations added).
Deadline - 24.12.2024, 23-00 in Beijing time
Deadline - 24.12.2024, 23-00 in Beijing time
Monte Carlo methods
Modified 24.12.2024 (explanations added)
On material of the Lecture_7.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Explore our simulation model
quizzes 4.1, 5.1 (classes, Monte Carlo)
Function for our simulation model
Few examples how explore our model
Optimization
Gradient-based optimization
On material of the Lecture_8.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
Applying optimization for our simulation model
On the material of the Lecture_9.
Answer the questions sequentially, moving on to the next question you will not be able to go back (even if you did not select an answer for the previous question).
Just one try.
The idea of machine learning, and how we can apply it in simulation modeling.
Using LLM (Large Language Models) to write code.
Deadline - 28.12.2024, 22-00 in Beijing time
Deadline - 28.12.2024, 22-00 in Beijing time
Test will be closed - 27.12.2024, 14-56 in Beijing time
Answer in order. After moving on to the next question, you cannot return to the previous one, even if you did not select an answer.
It will be closed - 29.12.2024, 22-00 in Beijing time
There are no right answers here. Just 2 questions about your impression of this course. You will receive 0.25 points for answering each question (regardless of the option you choose).
30/12/2024
Final (KhAI part)