Formal Modeling & Performance Analysis
Master formal modeling techniques: Learn to analyze and optimize system performance using mathematical approaches.
Course Cost
₹ 2,699
Intermediate
Skill Level
17 Hours
Self-paced lessons
This course provides a comprehensive introduction to quantitative formal modeling and worst-case performance analysis, focusing on token production and consumption systems. Students will learn to mathematically formalize system behavior using prefix orders and counting functions, work with Petri-nets, and conduct worst-case performance analysis on single-rate dataflow graphs. The curriculum covers key concepts such as throughput, latency, and buffering in system performance. Through a combination of theoretical foundations and practical applications, the course aims to develop students' abstract thinking skills and their ability to apply formal methods to real-world systems analysis.
What you'll learn
Model systems as token consumption/production systems using Petri-nets
Formalize system behavior using prefix orders and counting functions
Understand and apply Petri-net interpretations and restrictions
Perform worst-case performance analysis on single-rate dataflow graphs
Calculate and optimize throughput, latency, and buffer sizes in system models
Construct and analyze periodic schedules for dataflow graphs
Develop skills in formalizing performance metrics as logical properties
Apply learned concepts to real-world examples and case studies
Skills you'll gain
This course includes:
5 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 5 modules in this course
This course offers an in-depth exploration of quantitative formal modeling and worst-case performance analysis techniques. It is structured into five modules, covering the fundamentals of token consumption/production systems, formal syntax and semantics, performance analysis methods, and practical applications. Students will learn to model systems using Petri-nets, formalize system behavior with prefix orders and counting functions, and conduct worst-case analysis on single-rate dataflow graphs. The course emphasizes both theoretical understanding and practical skills, teaching students to calculate metrics such as maximum cycle mean, construct periodic schedules, and optimize for latency and buffering. Throughout the course, students will develop their abstract thinking abilities and learn to apply formal methods to real-world system analysis problems.
Introduction
Module 1 · 15 Minutes to complete
Modeling systems as token consumption/production systems
Module 2 · 5 Hours to complete
Syntax and semantics
Module 3 · 5 Hours to complete
Performance analysis
Module 4 · 4 Hours to complete
One final example
Module 5 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
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Frequently asked Questions
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