Embedded Files
Technical
Modules
Applied Computational Fluid Dynamics
Flows in Diffusors and Nozzles
Secondary and Vortex Flows
Flows Around a Circular Cylinder
Flows with Heat Transfer
Modules
Performing linear and nonlinear analyses
Post-processing results
Meshing geometries
Running simulations effectively
Defining boundary conditions and output parameters
Managment
Learning Outcome
List the three main focuses of Six Sigma
Explain why lean is an important element of the Six Sigma approach
Summarize why Control is the most important step in the Six Sigma process
Analyze variables to determine if they are a good performance measurement
Describe three typical methods of improving supply chain functions
Identify three things you will need in order to lead a Lean Six Sigma project effectively
Lean Six Sigma White Belt
Learning Outcome
Understand the basics of ‘Lean’ processes
Understand and define DMAIC (Define, Measure, Analyze, Improve, Control)
Understand why the DMAIC process is utilized
Understand the different belt levels
Understand how belt levels fit into the roles of Six Sigma
Walk through a basic simulation of a Six Sigma White Belt to gain an understanding of the role within a project
Six Sigma Black Belt
Competencies
History of Six Sigma
y = f(x)
Process Variances
TQM & others
Recognizing opportunities
Managing Quality
Deciding to start a Six Sigma project
Organizational Roles and Responsibilities
Why is DMAIC used
DMADV variation
Project Communication
Supporting Delivery
Defining a process
Critical to Quality Characteristics
Cost of Poor Quality (COPQ)
Six Sigma Metrics
Six Sigma Tools
Selecting Lean Six Sigma Projects
Leading Six Sigma Teams
Coding
Course modules
Vectors and Matrices
Array Indexing and Modification
Array Calculations
Function Calls
Plots
Data Import
Logical Arrays
Course modules
Introduction
Images in MATLAB
Image Segmentation
Preprocessing and Postprocessing Techniques
Classification and Batch Processing
Course modules
Introduction
Solving an Unconstrained Optimization Problem in MATLAB
Solving Constrained Optimization Problems in MATLAB
Course Project
Course modules
Fundamentals of Data Manipulation with Python
Basic Data Processing with Pandas
More Data Processing with Pandas
Answering Questions with Messy Data
AI Solutions
Course modules
Machine learning methods: supervised, unsupervised, and reinforcement
Sourcing and preparing data
Selecting the learning algorithm
Evaluate model performance
Building a machine learning pipeline
Course modules
Introducing data analytics and analytical thinking
The world of data
Set up your data analytics toolbox
Become a fair and impactful data professional
Course modules
Ask effective questions
Make data-driven decisions
Spreadsheet magic
Always remember the stakeholder
Course modules
Basics of Algorithms Through Searching and Sorting
Heaps and Hashtable Data Structures
Randomization: Quicksort, Quickselect, and Hashtables
Applications of Hashtables
Course modules
Binary Search Trees and Algorithms on Trees
Basics of Graphs and Graphs Traversals
Union-Find Data Structures and Spanning Tree Algorithms
Shortest Path Algorithms
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