Information Technology Project Management Course Outline For NCBA&E Lahore

Course Name: Information Technology Project Management

Credit Hours: 3

Prerequisites: Software Engineering, Technology Management

Course Outline: Introduction to Project Management. The Project Management and Information Technology Context. The Project Management Process Groups. Project Integration Management. Project Scope Management. Project Time Management. Project Cost Management. Project Quality Management. Project Human Resource Management. Project Communications Management. Project Risk Management. Project Procurement Management. Project Management Tools.

for more help: contact: 0333-8586638

Reference Materials:

1.      Information Technology Project Management by Kathy Schwalbe,

2.      Course Technology; 6th Edition

Complete Syllabus of Master in Computer Science of NCBA&E

Complete Syllabus of Master in Computer Science of 

NCBA&E Lahore Pakistan

Masters in Computer Science

Semester - 1
Course Name	Credit Hours
Analysis of Algorithms	3
Composition & Oral Communication	3
Distributed Systems	4
System Analysis & Design	3
Theory of Automata	3
Semester - 2
Course Name	Credit Hours
Artificial Intelligence	3
Compiler Construction	3
Personal Development & IT	3
Probability & Statistics	3
System Programming	3
Semester - 3
Course Name	Credit Hours
Multimedia System	4
Numerical & Symbolic Computation	3
Project Management	3
Software Project Management	3
Web Engineering	4
Semester - 4
Course Name	Credit Hours
Elective-1	4
Elective-2	4
Elective-3	4
Elective-4	3
Quality Assurance	3
Semester - 5
Course Name	Credit Hours
Project	6
Total Credit Hours	72
Specialization
ERP
Multimedia Arts
Software Engineering
Telecommunication
TQM

for more help: contact: 0333-8586638

Numerical Computing Course Outline For NCBA&E Lahore

Course Name: Numerical Computing 

Credit Hours: 3 (2+1)

Prerequisites: Calculus and Analytical Geometry

Course Outline: The concepts of efficiency, reliability and accuracy of a method; Minimising computational errors; Theory of Differences, Difference Operators, Difference Tables, Forward Differences, Backward Differences and Central Differences. Mathematical Preliminaries, Solution of Equations in one variable, Interpolation and Polynomial Approximation, Numerical Differentiation and Numerical Integration, Initial Value Problems for Ordinary Differential Equations, Direct Methods for Solving Linear Systems, Iterative Techniques in Matrix Algebra, Solution of non-linear equations.

For more help: contact: 0333-8586638

Reference Materials:

1. Numerical Methods in Scientific Computing by Germund, D. Åke, B.

2. Numerical Methods for Scientific Computing by J. H. Heinbockel.

3. Numerical Analysis by I. A. Khubaza.

4. Numerical Analysis and Programming by Shan S Kuo.

 5. Numerical Analysis by Berden, F.

6. Numerical Analysis by Gerald.