Quantitative Model Checking by European Institute of Innovation and Technology via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based	Learning efforts 5 Hours Per Week

Course overview

The Quantitative Model Checking certification course will start with introducing ICT (information and communication technology) and later lead by its applications in different fields. The course reflects on ICT reliability, applicability and dependability on the software that a user is using. The complete Quantitative Model Checking training will be given on defects that can become fatal and are extremely costly in nature.

The Quantitative Model Checking certification relies on the model's contextual assessment. Model testing is a systematic evaluation approach that examines the consistency of a device model. A property that needs to be evaluated must be defined in a logic with consistent syntax and semantics. It is then determined if the property is true for each state of the model. This course is primarily concerned with quantitative model testing for Markov chains, for which we will explore effective computational algorithms. It is a completely online programme where the entire focus will be given on model testing and its applications in different fields. Some comebacks will be considered, and candidates will be taught how to rectify them.

Course and certificate fees

Type of course

Free

The fees for the course Quantitative Model Checking is -

Head	Amount in INR
Certificate fees	Rs. 2435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Eligibility criteria

Work Experience

During the enrollment in Quantitative Model Checking by Coursera, no work experience is required.

Education

At the time of enrolling on the Quantitative Model Checking certification course, no education qualification is required.

Certification Qualifying Details

Candidates need to timely submit the quizzes that are structured with every module to attain the Quantitative Model Checking certification.

What you will learn

Software management

The candidates will learn the following dynamics at the end of the Quantitative Model Checking programme -

For various types of transformation schemes, candidates will articulate dependability properties.
Candidates can calculate the evolution of Markov chains over time
An individual could be testing various dimensions of the model to see if they satisfy a formula.
They can calculate the fulfilment set for properties.
Markov chains will be taught during the middle of the Quantitative Model Checking certification syllabus.
Formulaic observations can be helpful to the candidates who’re working on the testing of special models.
Dependability properties will be introduced to the students that they can follow up on during their training sessions.
Different dimensions and procedures of model testing must be presented to the students.

The syllabus

Module 1: Computational Tree Logic

Videos

Welcome!
Introduction
Semantics of CTL
Model Checking CTL
The Until Operator
The Always Operator

Readings

Script 1 and 2.1
Script 2.2 and 2.3
Script 2.4

Assignments

Check your understanding of CTL
Formulate for yourself
Test your understanding of CTL semantics
Model checking eventually, always and until

Module 2: Discrete time Markov Chains

Videos

Introduction to DTMCs
Evolution in Time
Transient probabilities
State classification
Steady-state probabilities

Readings

Script 3.1 and 3.2
Script 3.3

Assignments

Evolution of DTMCs
Compute transient probabilities
Classification of DTMC states True or False?
State classification
Steady-state computation

Module 3: Probabilistic Computational Tree Logic

Videos

Syntax of PCTL
Model-checking and the Next operator
Time-bounded Until
Backwards computation
Unbounded Until

Readings

Script: 4.1 and 4.2
Script: 4.3.1 and 4.3.2
Script 4.3.3

Assignments

PCTL Syntax
Test your understanding of PCTL Until
Test your understanding of PCTL
Checking PCTL next
Checking time-bounded until
Checking unbounded until

Module 4: Continuous Time Markov Chains

Videos

Definition of a CTMC
Generator matrix
Steady-state probabilities
Triple Modular Redundancy
Uniformisation

Readings

Script: 5.1 and 5.2
Script: 5.3

Assignments

Test your understanding of CTMCs
Steady state probability in CTMCs
Test your understanding of Uniformisation
Generator matrix
Identifying BSCCs
Uniformisation

Module 5: Continuous Stochastic Logic

Videos

Model-checking CSL
Model-checking and time-bounded next
Model-checking the steady-state operator
Time-bounded until
An application

Readings

Script: 6.1
Script: 6.2

Assignments

Test your understanding of CSL (I)
Test your understanding of CSL (II)
Test your understanding of CSL (III)
Assembly line
Steady state and next
Time bounded until in CSL

Admission details

The Quantitative Model Checking online course admission procedure is as follows -

Step 1: Go to the course's website https://www.coursera.org/learn/quantitative-model-checking and get course information.

Step 2: Sign up using the candidate's existing email addresses, or if they haven't already done so, log using one of their social media profiles or their phone number.

Step 3: Go to the "enrol for free" alternative after you've been through all of the course info.

Step 4: Candidates will indeed be given the option of taking either a certification or non-certification course; they must pick one.

Step 5: After confirming the option, choose "continue" for the option from the drop-down menu.

Step 6: If an applicant has selected the certification course, they must pay the fee; otherwise, they can enrol in the course without paying any fees.

Scholarship Details

Candidates who want to receive financial assistance for their preparation must first complete an application, which will be checked after at least 15 days. Many who cannot afford to learn Quantitative Model Checking training at Coursera but are capable of doing so will be given financial assistance.

Evaluation process

Before the conclusion of the programme, applicants must clear the standard quizzes assigned for their Quantitative Model Checking certification.

How it helps

Candidates who are registered with fees will be able to enjoy several Quantitative Model Checking certification benefits. The certification is based on a qualitative evaluation of the model. Model testing is an important evaluation method that tests a device model's consistency. Property must be described in incoherent syntax and comprehension logic.

The property must be evaluated. It is then calculated if the property applies to each model state. This course focuses on quantitative model research with Markov chains for which acceptable compression algorithms are explored. This is an all-in-one curriculum that focuses entirely on model research and its implementations in various areas, often takes into account some comeback and teaches applicants how to correct these issues.

The candidate will get to know different dimensions of the model testing and learn how to be more efficient. The candidate needs to complete the assigned quizzes and test assessment to avail of the certification as the course ends. This course will introduce the candidates to different dimensions that this field contains and their significance in the economy.

Instructors

Dr Anne Remke
Associate Professor
EIT Digital

Other Bachelors, Ph.D

FAQs

In how many dimensions, the Quantitative Model Checking certification syllabus is divided?

Initially, the syllabus has five modules based on the fundamentals of the model testing.

What’s the level of the Quantitative Model Checking programme?

It is an intermediate level course.

Can the candidate pursue a further model testing course in the same field after completing this particular course?

Yes, the candidate can pursue further courses in the same respective field after completing this particular one, since this is an intermediate level programme that can be further led by the advanced programme.

What amount of time does a candidate need to devote to the course weekly to complete the programme?

On average, eighteen hours are required to complete the Quantitative Model Checking online course.

Is there a need for pre-learning or working experiences that are sought during the enrollment?

No, during the enrollment to the course, no such precondition is requested.

Is there an offline medium for learning the Quantitative Model Checking course?

No, there's no training in offline mode. It's a fully online curriculum.

In which medium do the candidates who have participated in the course get all the lecture videos and reading material?

Both programme offerings will be made available in English online mode.

What is the protocol in this Quantitative Model Checking certification course for financial assistance?

The candidates have to request financial support, after which certain verification will happen. It will take at least 15 days for those who can't pay the course fee to be granted financial assistance.