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Design Lecture Series: PMMD2001

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Design Lecture Series: PMMD2001

  • Course level: Beginner

About Course

This beginner's course requires a background of Senior Secondary Trigonometry, Calculus, and a decent ability to navigate the web. It is a practical skills course suitable for students in full-time study elsewhere but want to gain the necessary skills to become competitive in a globalized world. You will need to invest in a computer and decent data bandwidth. Most software used are in the public domain or available to students for free.

Description

This package is for individual registration. A group of 4 people or less will pay N10,000.00 each per month.

This course covers:

• Programming, Design & AI
• Python Lexical Analysis with Geometrical visualizations;
• Fusion 360 Basics;
• Introduction to Machine Learning;
• Fundamental types and the Python Object Model;
• Programme Structure, Execution & Debugging;
• The Fusion 360 API Object Model and Parametric Modeling.
• Models for simulation scenarios and design

 

Topics for this course

33 Lessons60h

Python: Modeling, Machine Learning & Design

Design Lecture Series: Python for Modeling, Machine Learning & Design
Lecture 001: Python for Modeling, Machine Learning & Design: Pre-Lecture Guide
Lecture 011: Introducing Machine Learning1:30:31
Lecture 012: Lexical Analysis1:44:02
Tutorial 012: Lexical Analysis54:10
Lecture 021: Python Collections and Controls1:40:54
Lecture 022: Supervised Learning1:27:47
Tutorial 021: Python Collections and Controls I1:14:34
Tutorial 022: Supervised Learning46:50
Lecture 031: Python Collections and Controls I Review53:53
Lecture 032: Python Collections and Controls I Tutorial Review52:57
Lecture 033: Python Collections and Controls II1:21:34
Tutorial 031: Python Collections and Controls II49:13
Tutorial 032: Perceptron Algorithm44:12
Lecture 041: Unsupervised Learning1:35:44
Lecture 042: Python Collections and Controls III1:43:43
Tutorial 041: Unsupervised Learning1:08:11
Tutorial 042: Python Collections and Controls III33:44
Lecture 051: Unsupervised Learning II1:36:27
Lecture 052: Simple Models in Fusion 360 API1:28:25
Tutorial 051: Simple Models in Fusion 360 API52:25
Tutorial 052: Unsupervised Learning II33:35
Assignment 050: Simple Models in Fusion 360 API
Lecture 061: Simple Models in Fusion 360 API II1:45:39
Tutorial 061: Simple Models in Fusion 360 API II49:46
Tutorial 062: KMeans Clustering47:46
Lecture 071: Simple Models in Fusion 360 API III1:12:44
Tutorial 071: Collections and Comprehensions26:44
Tutorial 072: Machine Learning Recap38:55
Lecture 081: Object-Oriented Python I38:01
Lecture 082: Machine Learning Recap II00:00:00
Tutorial 081: Object-Oriented Python I
Tutorial 082: Machine Learning Recap II00:00:00

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It's have been interesting to me as a mathematian. Thanks to this initiative

₦10,000.00