3D and Spatial Analyst (GIS) and mathematical modeling with MATLAB

ArcGIS is one of the most powerful tools for mapping and spatial planning and enables comprehensive analysis of geodata. This course demonstrates the competent handling of geodata, from acquisition to administration and analysis to visualization with a geoinformation system. In addition, in-depth topics on cartography, geomarketing and the use of the "ArcGIS 3D and Spatial Analyst" toolbox for three-dimensional visualization are taught. An introduction to the analysis of data and mathematical problems with MATLAB as well as modeling with Simulink and the use of artificial intelligence (AI) in your profession round off the course.
  • Certificates: Certificate "MATLAB and Simulink"
    ArcGIS Pro Foundation" certificate
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    ArcGIS Pro Foundation (in englischer Sprache)
  • Teaching Times: Full-time
    Monday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
  • Language of Instruction: German
  • Duration: 16 Weeks

Mathematical modeling with MATLAB and Simulink

MATLAB basics (approx. 2 days)

MATLAB user interface

Reading data from a file

Variables, arrays, operators, basic functions

Graphical representation of data

Customizing diagrams

Exporting graphics


Variables and commands (approx. 2 days)

Relational and logical operators

Sets, sets with 2D solids (polyshape)

Performing mathematical and statistical calculations with vectors

Graphics in statistics


Analysis and visualization (approx. 1 day)

Creating and modifying matrices

Mathematical operations with matrices

Graphical representation of matrix data

Matrix applications: Mappings, rotation, systems of linear equations, least square method


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Data processing (approx. 1 day)

Data types: Structure arrays, cell arrays, string vs. char, categorical, datetime and much more.

Creating and organizing tabular data

Conditional data selection

Importing/exporting with Matlab: folder structures, .mat data, table data, continuous texts


MATLAB programming (approx. 3 days)

Control structures: loops, if-else, exceptions

Functions

Object-oriented programming

App design


Simulation in MATLAB (approx. 5 days)

Numerical integration and differentiation

Basics of simulation of ordinary differential equations, Matlab ODE and solver options

Simulation technology in Matlab: input parameters, data interpolation, simulation studies

Simulation control: event functions (zero crossing), output functions

Application examples, e.g. simulation of an electric motor, simulation of a rocket


Simulink (approx. 4 days)

Basics of Simulink: Diagrams, functions, signals and differential equations

Functions, subsystems and libraries

Import/export, lookup tables, control

Zero-crossing, automation of simulation tasks (Matlab access)

Application examples, e.g. simulation of an aircraft drive train


Project work (approx. 2 days)

To consolidate the content learned

Presentation of the project results

GIS - 3D and Spatial Analyst with ArcGIS

Fundamentals of geoinformatics (approx. 3 days)

Geoinformation

geodata

Geoobjects

Surveying

Basic calculations in geodesy

Determination of individual points in position and height

ArcGIS Pro user interface


Collection of spatial geodata (approx. 5 days)

Analog and digital databases

Basic geodata, terrain models

Geodata infrastructures

Freely available geodata

Geodetic coordination systems and angle measurement

Map network designs and transformations

Sampling, grids

Primary and secondary acquisition methods

Scale ranges

Routing

Digitization


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Managing databases with GIS (approx. 7 days)

GIS as a model of the real world

Four-component model

Managing geodata

Structure of a geodatabase

Classes, categories

Connections and relationships

Queries with SQL

Spatial connections

Frequent geoprocessing

Data transfer

Converting raster and vector data

Georeferencing of raster data


Visualization of geodata (approx. 5 days)

Graphics and cartography

Interactive graphics, texts

Functionalities

Color representation

Labeling expressions with Arcade

Diagrams and statistical evaluations


Cartography (approx. 3 days)

Map editorial planning

map layout

symbols

Design principles

Thematic maps


Geoanalysis (approx. 7 days)

Automation of workflows

Geoprocessing with ModelBuilder

Vector analyses

Geometric analyses

Cluster analyses

Thematic analyses

Temporal analyses

Combined analyses

Remote sensing

Analyze image data


Web Mapping and Web GIS (approx. 3 days)

ArcGIS Online Basics

Web mapping and web GIS

Consideration of deployment scenarios for emergency services

Mobile apps

WebApps


Project work, certification preparation and certification exam "ArcGIS Pro Foundation" (approx. 7 days)

in English language


Geomarketing (approx. 1 day)

Analysis of data

Market and potential data

Location planning


3D Analyst (approx. 4 days)

Three-dimensional data

Global and local perspective

Features, multi-patches

Surfaces (raster, TIN, terrain)

Visualization of three-dimensional data

Editing 3D data

Analysis in 3D

Optimization of 3D views

3D simulations


Quantum GIS - QGIS (approx. 2 days)

Introduction to the user interface

Data management

layout

Project creation


Spatial Analyst Basics (approx. 1 day)

Managing raster data

Converting vector data to rasters


Spatial Analyst (approx. 4 days)

Conditional

Density

Distance analysis

extraction

generalization

Interpolation of point data

Map Algebra, Mathematics

Creating surfaces, shading and contours

Terrain models, reclassification

Hydrological runoff modeling

Volume calculations

Overlay analyses

Raster Calculator

Create raster

Raster-based route planning

Calculate line routes


Network Analyst (approx. 1 day)

Vector-based route planning

Create road networks

Route outputs


Utilities Networks (approx. 1 day)

Pipeline networks for electricity, water, gas, telecommunications


Deep Learning GeoAI (approx. 1 day)

Object detection on image data


Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results



Changes are possible. The course content is updated regularly.

A good knowledge of English is required for the certification exam.

You are proficient in the competent handling of geodata, from acquisition and management to presentation using a geoinformation system. You also have in-depth knowledge of positioning/navigation, geomarketing and the handling of rasters and vector data and can use the ArcGIS Spatial Analyst 3D Analyst, Image Analyst and Network Analyst toolbox.

You are also familiar with MATLAB and Simulink, standard mathematical programs for science students and engineering students.

People from the field of geosciences (such as geography, geodesy, photogrammetry and remote sensing), but also employees from the fields of computer science, mathematics and system sciences who would like to acquire knowledge in dealing with geodata.

As a GIS analyst, you will be in demand from public authorities as well as engineering and surveying offices. You will also find employment with software providers, in research and development and with data processing services for geodata. With the internationally recognized "ArcGIS Pro Foundation" certification, you can provide meaningful proof of your knowledge.

You will also learn standard mathematical programs for engineering and science with MATLAB and Simulink.

Didactic concept

Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).

You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.

 

Virtual classroom alfaview®

Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.

 

The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.
Contact
We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.