François Chung, Ph.D.

Tag: mooc

ISO 9001 & ISO 27001

ISO 9001 & ISO 27001

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Advisera training, MOOC (2022). These 2 online courses provide all of the key information needed to know about both ISO 9001 (quality management) and ISO 27001 (information security) standards, including the requirements, best practices for compliance and how to implement them for any type of business. These courses are made for beginners with no prior knowledge in quality management, information security and ISO standards.

ISO 9001: Quality management

Main topics:

  • Introduction to ISO 9001;
  • The planning phase;
  • Operations;
  • The Check and Act phases.

ISO 27001: Information security

Main topics:

  • Introduction to ISO 27001;
  • The planning phase;
  • Risk management;
  • The Do phase;
  • The Check and Act phases.

References

Cybersecurity specialization

Cybersecurity specialization

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Coursera training, MOOC (2022). This specialization from The University of Maryland (US) covers the fundamental concepts underlying the construction of secure systems, including the hardware, the software and the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques.

Course 1: Usable security

Main topics:

  • Human-Computer Interaction (HCI);
  • Design methodology and prototyping;
  • A/B testing, quantitative and qualitative evaluation;
  • Secure interaction design;
  • Biometrics, two-factor authentication (2FA);
  • Privacy settings, data inference.

Course 2: Software security

Main topics:

  • Low-level security: attacks and exploits;
  • Defending against low-level exploits:
  • Web security: attacks and defenses;
  • Designing and building secure software;
  • Static program analysis;
  • Penetration and fuzz testing.

Course 3: Cryptography

Main topics:

  • Computational secrecy and modern cryptography;
  • Private-key encryption;
  • Message authentication codes;
  • Number theory;
  • Key exchange and public-key encryption;
  • Digital signatures.

Course 4: Hardware security

Main topics:

  • Digital system design: basics and vulnerabilities;
  • Designing intellectual property protection;
  • Physical attacks and modular exponentiation;
  • Side-channel attacks and countermeasures;
  • Hardware trojan detection;
  • Trusted integrated circuit;
  • Good practice and emerging technologies.

References

Training

Usable security (course certificate)
Software security (course certificate)
Cryptography (course certificate)
Hardware security (course certificate)

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Blockchain essentials (Cognitive Class training)
Bitcoin and cryptocurrency technologies (Coursera training)

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Coursera

Business process and decision modeling

Business process and decision modeling

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HPI training, MOOC (2021). This online training introduces concepts of business process modeling using the Business Process Model and Notation (BPMN) industry standard. Based on a thorough understanding of BPMN, the last part of the training covers decision models using the Decision Model and Notation (DMN). Decision models complement process models by representing concrete, operational decisions, both with their structure and their decision logics.

Week 1: Introduction to business process management

Main topics:

  • Defining business processes;
  • Business process models;
  • Interacting business processes;
  • Models and instances;
  • Business process lifecycle.

Week 2: Basic business process modeling

Main topics:

  • Process activities;
  • Exclusive and parallel gateways;
  • Inclusive gateways and loops;
  • Start, intermediate and end events;
  • Concurrency.

Week 3: Analyzing the behavior of process models

Main topics:

  • Process behavior;
  • Structural soundness;
  • Simulating business processes;
  • Petri nets and process analysis;
  • Checking soundness.

Week 4: Advanced business process modeling

Main topics:

  • Sub-processes and boundary events;
  • Activity modifiers;
  • Event-based gateway;
  • Modeling organizations;
  • Resource allocation patterns.

Week 5: Data in business process models

Main topics:

  • Organizing process models;
  • Data and data flow;
  • Data execution semantics;
  • Structured data and sub-processes;
  • Object lifecycle conformance.

Week 6: Business decision modeling

Main topics:

  • Implementation of decisions;
  • Decision requirements diagrams;
  • Semantics of decision tables;
  • Analysis of decision tables;
  • Consistency of processes and decisions.

References

Related articles

ArchiMate 3 in practice (Orsys training)
UML class diagrams (edX training)

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BPMN - Business Process Model and Notation
DMN - Decision Model and Notation
openHPI - Hasso Plattner Institute

UML class diagrams

UML class diagrams

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edX training, MOOC (2020). This online computer science training from KU Leuven (BE) provides an in-depth understanding of Unified Modeling Language (UML) class diagrams, which are used to visually represent the conceptual design of a system. The training presents UML class diagrams and explains how they are used to map out the structure of a business domain by showing business objects, their attributes and associations.

Week 1: Introduction

Main topics:

  • Why does data modelling matter?
  • Modelling languages.

Week 2: UML basics

Main topics:

  • Attributes and data types;
  • Class definitions;
  • Unary and ternary association;
  • Aggregation;
  • Derived and implicit association;
  • Parallel paths.

Week 3: UML advanced

Main topics:

  • Superclass, subclass and inheritance;
  • Generalisation sets;
  • Constraints on generalisation and specialisation;
  • Inherited associations;
  • AssociationClass;
  • Association reification.

References

Related articles

ArchiMate 3 in practice (Orsys training)
Business process and decision modeling (HPI training)

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UML - Unified Modeling Language
edX

Deep learning and TensorFlow

Deep learning and TensorFlow

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Cognitive Class training, MOOC (2020). This learning path presents the basic concepts of deep learning and TensorFlow with hands-on experience in solving problems. Throughout the training, TensorFlow is used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the deep learning world where TensorFlow is applied for backpropagation to tune the weights and biases while the neural networks are being trained.

Course 1: Deep learning fundamentals

Main topics:

  • Introduction to deep learning;
  • Deep learning models;
  • Additional deep learning models;
  • Deep learning platforms and libraries.

Course 2: Deep learning with TensorFlow

Main topics:

  • Introduction to TensorFlow;
  • CNN - Convolutional Neural Network;
  • RNN - Recurrent Neural Network;
  • Unsupervised learning.

References

Training

Deep learning fundamentals (course certificate)
Deep Learning Essentials (certification badge)
Deep learning with TensorFlow (course certificate)
Deep Learning using TensorFlow (certification badge)

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AWS: foundations and machine learning (AWS training)
Neural networks and deep learning (Coursera training)

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Cognitive Class

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