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Advanced Embedded System Design

Course Code:

EE-821

Semester:

Spring 2014

Credit Hours:

3+0

Prerequisite:

Basic Digital Systems

Basic C Programming

Instructor:

Dr. Awais M. Kamboh

Discipline:

MS-DSSP-5

Office:

Room # A-311

Telephone:

+92-(0)51-90852119

Lecture Days:

Tuesday, Thursday

E-mail:

awais.kamboh@seecs.edu.pk

Class Room:

CR-9

Consulting Hours:

Tue 5:30pm-6:20pm,

Wed 6:30pm-8:20pm

Knowledge Group:

Digital Systems & Signal Processing

Updates on LMS:

After Lecture

 

Course Description:

 

This introductory graduate level course on Advanced Embedded Systems covers the Modeling, Design and Analysis of embedded systems and cyber physical systems. The course is about a principled approach to designing and implementing such system. Modeling is the process of gaining a deeper understanding of a system through imitation. Models specify what a system does. Design is the structured creation of artifacts. It specifies how a system does what it does. Analysis is the process of gaining a deeper understanding of a system through dissection. It specifies why a system does what it does, or fails to do what a model says it should do.

 

Course Outcomes/Objectives:

 

         Introduction to the basic concepts of the Embedded System Design from both the hardware and software viewpoints.

         Students will learn the primary approaches and technologies used in the modeling and design of Embedded Systems and apply them to analyze systems that solve real-world problems.

         Students will be able to design basic systems incorporating sensors, processors, actuators and communication.

         Students will learn how to approach the of design large systems handling multiple tasks with critical functionality.

 

Books:

Textbook:

 

         Frank Vahid, and Tony Givargis, Embedded System Design: A unified Hardware/Software Introduction, 2002.

 

Reference :

        Wayne Wolf, Computer as Components, 2005

 


 

 

Week

Topic

Description

1

Introduction

 

Course Introduction

2

Embedded Processors

 

Processor architectures specialized for embedded systems

3

Memory Architectures

 

Memory models in programming, memory technologies, memory architectures

4

Continuous Dynamics

 

Constructing differential equations to describe the dynamics of the system

Appendix A: Sets and Functions

5

Discrete Dynamics

 

Build state machines that model modes of operation

Appendix B: Complexity and Computability

6

One Hour Test 1

 

-

7

Hybrid Systems

 

Transitions between states and modes of operation

8

Input and Output

 

Interface between software and physical world, digital/analog interface

9

Composition of State Machines

 

Semantics of concurrent composition of state machines

10

Concurrent Models of Computation

 

Different ways to model concurrent computations

11

Invariants and Temporal Logic

 

Precise description of dynamic properties of systems

12

One Hour Test 2

 

-

 

13

Multitasking

 

Labour Day Holiday

Pitfalls of using low-level mechanisms and threads

14

Equivalence and Refinement

 

Relationships between different models

15

Reachability Analysis and Model Checking

 

Analyzing the large number of possible dynamic behaviours a model may exhibit

16

Scheduling

 

Real time systems and task scheduling

17

Quantitative Analysis

 

Finding bounds on resources consumed, execution time analysis

18

End Semester Exam

 

-

 

Weightages:

 

Quizzes:

5%

Assignments:

10%

OHT1 + OHT2:

30%

Final Exam:

40%

Project:

15%

 

 

 

Last Updated 14th August 2014.