B.E. Computer Science & Engineering:Embedded Systems Programming

Thapar University
In Patiala

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Important information

  • Bachelor
  • Patiala
  • Duration:
    4 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
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Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skill

First Year: Semester-II

Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior

Second Year- Semester - I

Measurement Science and Techniques
Optimization Techniques
Semiconductor Devices
Data Structures
Discrete Mathematical Structures
Digital Electronic Circuits
Human Values, Ethics and IPR

Second Year- Semester – II

Numerical and Statistical Methods
Electrical Engineering Materials
Computer System Architecture
Principles of Programming Languages
Analysis and Design of Information Systems
Operating Systems
Environmental Studies


Third Year- Semester – I

Object Oriented Programming
Theory of Computation
Computer Networks
Data Base Management Systems
Software Engineering
Microprocessors
Summer Training

Third Year- Semester – II

Total Quality Management
Algorithm Analysis and Design
Software Project Management
Internet and Web Technologies

Fourth Year- Semester – I

Engineering Economics
System Software
Compiler Construction
Computer Graphics
Artificial Intelligence

Fourth Year- Semester – II

Project Semester
Project
Industrial Training(6 weeks)


Embedded Systems Programming

Introduction To Embedded Systems: Programming languages for embedded systems: desirable characteristics of programming languages for embedded systems, low-level versus high-level languages, main language implementation issues: control, typing, exception handling, modularity and multi-threading. Major programming languages for embedded systems: Assembly, C/C++, Ada and Java

Timing Characteristics Of Embedded Systems: hard, soft and firm systems, Performance analysis of embedded systems: software timing characterization and analysis methods.

Real Time Operating Systems: real-time and non-real time applications. Task assignment and scheduling: characteristics of tasks, task assignment and multi-tasking.

Memory Management And Synchronization For Embedded Software: mutual exclusion, deadlock, starvation and lockouts, priority assignment, inversion, event flags and signals. Software Engineering Practice In The Embedded Systems: Software analysis design, implementation, testing, validation and debugging of embedded systems. Compilation Techniques For Embedded Software: code generation, retargetability, code optimization.

Examples of Embedded And Real-Time Software Systems.

Real Time Databases: Transaction handling and consistency management.

Laboratory work: RT Linux platform, J2ME environment, implementation of case studies like Smart card, mobile technology etc.


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