National University of Sciences and Technology
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SYSE-801 Systems Engineering Principles
Campus MCS
Programs PG
Session Fall Semester 2016
Course Title Systems Engineering Principles
Course Code SYSE-801
Credit Hours 3+0
Pre-Requisutes
Course Objectives

The purpose of the course is to help students learn to think like systems engineers. Specifically, the students will learn:

(a) A hierarchical model of complex systems composed of a set of commonly occurring building blocks or components.

(b) A system life cycle model derived from existing models but more explicitly related to evolving engineering activities and participants.

(c) A model of the steps in the Systems Engineering method and their iterative application to each phase of the life cycle.

(d) A concept of ‘materialization’ that represents the stepwise evolution of an abstract concept to an engineered, integrated and validated system.

(e) Specific responsibilities of systems engineers as they evolve during the system life cycle and the scope of what a systems engineer must know to perform these effectively.

Detail Content

1.

Foundations of Systems Engineering

(a) Systems Engineering & the world of modern systems

(b) Systems Engineering Landscape

(c) The system development process

(d) System Engineering management

2.

Concept Development stage

(a) Needs Analysis

(b) Concept Exploration

(c) Concept Definition

(d) Decision Analysis & Support

3.

Engineering Development stage

(a) Advanced Development

(b) Software Systems Engineering

(c) Engineering Design

(d) Integration & Evaluation

4.

Post Development Stage

(a) Production

(b) Operations & Support

(c) Retirement & Disposal

5.

Foundations of Systems Engineering

(a) Systems Engineering & the world of modern systems

(b) Systems Engineering Landscape

(c) The system development process

(d) System Engineering management

6.

Concept Development stage

(a) Needs Analysis

(b) Concept Exploration

(c) Concept Definition

(d) Decision Analysis & Support

Text/Ref Books

Text Book: Reference:

1. Kossiakoff, A., Sweet, W. N., Seymour, S. J., Biemer, S. M., Systems Engineering Principles & Practice, 2nd ed. Wiley Series, NewJersy, 2011. 

1. Blanchard, Benjamin S., Fabrycky, Walter J., Systems Engineering and Analysis, 5th ed. Prentice Hall International Series, 2010.  2. Various handouts and research papers.

Time Schedule Fall Semester 2015
Faculty/Resource Person Col Dr. Mukaram Khan, PhD
The University of Manchester, UK Discipline: System Engineering
Specialization: Computer System Engineering, Real-time Neural Applications on Massively Parallel CMP System.