Python Lists Manipulation

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Data Structures: Tuples, Lists, Sets, Dicts

Introduces Python data structures like tuples, lists, sets, and dictionaries, emphasizing manipulation and conversion techniques.

Multi-Regional Input Output Analysis: EXIOBASE 3

Covers the computation of Economy-Wide Material Flow Analysis for Switzerland using EXIOBASE 3.

Python Programming: Lists and Functions Overview

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

3D Stone Scanning Session

Introduces a 'professional' 3D measurement system for stone analysis and feature extraction using stereo photogrammetry and structured light technologies.

Lists: Manipulation and Comprehension

Covers the manipulation of lists in Python, including creating, accessing, slicing, and list comprehension.

Computational Methods: Paths and Strings

Covers computational methods focusing on paths and strings, including examples of concatenation, regex elements, and string operations.

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Conditions and Loops: Basics of Programming

Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.

Introduction to Machine Learning

Introduces the course on machine learning, emphasizing the importance of Python and the final exam.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.