Principles of Programming (2022)

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Principles of Programming is a one-semester master course building on profound knowledge of object-oriented design, programming in Java, and geospatial data in all its forms by adding aspects of software engineering, the high-performance language C++ (in its modern form) and Python.

Material

• Lecture 1: Basics / States / Operating Systems / Command Line

  • The Disk Operating System (DOS)

  • Microsoft Windows

  • Unix and Linux

• Lecture 2: Imperative Programming

  • Imperative Programming

  • Python

• Lecture 3: Imperative Programming II

  • Live Notes (Notebook)

  • Tutorial: Niki the Robot

  • Script Algorithms

  • Slides Algorithms

  • Slides Recursion

  • Tutorial on / with numpy

  • Completion of Python Syntax and Data Structures, material above

• Lecture 4:

  • Notebook

• Lecture 5: Geospatial Images

  • GDAL Introduction

  • GDAL for a Cloudfree Cover of Germany

  • Download Link (Germany) - needs to be fixed

Background and Context

Principles of Programming is an advanced (master) course in the study program Geodesy and Geoinformation. This course assumes very good knowledge of at least one object-oriented programming language (typically Java), object-oriented design and data modeling (UML, etc.), as well as geospatial data and basic geodata algortihms.

Based on this knowledge (which is typically taught in the Bachelor degree program at Technical University of Munich, the aim of this lecture is described as

With this course, students are enabled to solve their geodetic problems using programming. They obtain a working knowledge of programming languages, algorithms, software patterns and libraries needed to solve complex computatoinal problems.

in the module definition and we give the following framework of aspects that we have to cover:

In this course, students are introduced to advanced programming and algorithms with examples in Python and C++. It shall as well include some examples from computational geometry, point cloud processing, image analysis, etc. to - at the same time - introduce canonical patterns or even core libraries for working with data from subfields of geodesy.

• Python, numpy, tensorflow

• C++11, generic programming (beyond object orientation which I expect them to “roughly” know)

• Python & C++ interaction

• Various Data Structures and techniques

Time Plan

This lecture is organized into thirteen units out of which you can influence quite a few depending on the previous knowledge in the group and the interest.

First the dates in 2022/23:

Date	Topic
18.10.2022	Lecture + Tutorial
25.10.2022	Lecture + Tutorial
01.11.2022	Public Holiday
08.11.2022	Lecture + Tutorial
15.11.2022	Conflict (in resolution)
22.11.2022	Lecture + Tutorial
29.11.2022	Lecture + Tutorial
06.12.2022	Lecture + Tutorial
13.12.2022	Lecture + Tutorial
20.12.2022	Lecture + Tutorial
	Christmas Break
10.01.2023	Lecture + Tutorial
17.01.2023	Lecture + Tutorial
24.01.2023	Lecture + Tutorial
31.01.2023	Lecture + Tutorial
07.02.2023	Lecture + Tutorial
———–	——————–

Modules

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