Computer Systems Performance Analysis

  • Computer Engineering |

Description

Data will be available soon!

Program

Bachelor Degree in Computer Engineering

Objectives

  • An introduction to the use of computational methods for the understanding of biological systems at the molecular level. Like modern biologists who have to master the dense language of mathematics and computer programming, mathematicians and engineers working in bioinformatics have to learn the language of biology. Bioinformatics merges the two fields, and adds a healthy does of statistics, combinatorics, and other branches of mathematics. Intended for undergraduate students in computer engineering interested in learning about algorithms and computational methods, mathematics and statistics and in applications of those fields to molecular biology.

Textbook

Data will be available soon!

Course Content

content serial Description
1Week Number 1 : Course Overview.
2Week Number 2 : Time as a performance metric.
3Week Number 3 : Time as a performance metric.
4Week Number 4 : Introduction to queuing models.
5Week Number 5 : Introduction to queuing models.
6Week Number 6 : Queuing models for computer systems.
7Week Number 7 : Queuing models for computer systems.
8Week Number 8 : 7th Week Exam.
9Week Number 9 : Multicomputer analysis.
10Week Number 10 : Multicomputer analysis.
11Week Number 11 : 12th Week Exam.
12Week Number 12 : Client-Server analysis.
13Week Number 13 : Client-Server analysis.
14Week Number 14 : Revision.
15Week Number 15 : Revision.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Course Overview.
2Week Number 2 : Time as a performance metric.
3Week Number 3 : Time as a performance metric.
4Week Number 4 : Introduction to queuing models.
5Week Number 5 : Introduction to queuing models.
6Week Number 6 : Queuing models for computer systems.
7Week Number 7 : Queuing models for computer systems.
8Week Number 8 : 7th Week Exam.
9Week Number 9 : Multicomputer analysis.
10Week Number 10 : Multicomputer analysis.
11Week Number 11 : 12th Week Exam.
12Week Number 12 : Client-Server analysis.
13Week Number 13 : Client-Server analysis.
14Week Number 14 : Revision.
15Week Number 15 : Revision.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Course Overview.
2Week Number 2 : Time as a performance metric.
3Week Number 3 : Time as a performance metric.
4Week Number 4 : Introduction to queuing models.
5Week Number 5 : Introduction to queuing models.
6Week Number 6 : Queuing models for computer systems.
7Week Number 7 : Queuing models for computer systems.
8Week Number 8 : 7th Week Exam.
9Week Number 9 : Multicomputer analysis.
10Week Number 10 : Multicomputer analysis.
11Week Number 11 : 12th Week Exam.
12Week Number 12 : Client-Server analysis.
13Week Number 13 : Client-Server analysis.
14Week Number 14 : Revision.
15Week Number 15 : Revision.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Course Overview.
2Week Number 2 : Time as a performance metric.
3Week Number 3 : Time as a performance metric.
4Week Number 4 : Introduction to queuing models.
5Week Number 5 : Introduction to queuing models.
6Week Number 6 : Queuing models for computer systems.
7Week Number 7 : Queuing models for computer systems.
8Week Number 8 : 7th Week Exam.
9Week Number 9 : Multicomputer analysis.
10Week Number 10 : Multicomputer analysis.
11Week Number 11 : 12th Week Exam.
12Week Number 12 : Client-Server analysis.
13Week Number 13 : Client-Server analysis.
14Week Number 14 : Revision.
15Week Number 15 : Revision.
16Week Number 16 : Presentation of projects and Final Exam.

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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