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Network and Systems Architecture and Management

Code: EIC0095     Acronym: AGRS

Keywords
Classification Keyword
OFICIAL Operating Systems and Networks

Instance: 2014/2015 - 1S Ícone do Moodle

Active? Yes
Responsible unit: Department of Electrical and Computer Engineering
Course/CS Responsible: Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MIEIC 3 Syllabus since 2009/2010 5 - 6 56 162

Teaching Staff - Responsibilities

Teacher Responsibility
Ricardo Santos Morla

Teaching - Hours

Recitations: 3,00
Type Teacher Classes Hour
Recitations Totals 1 3,00
Ricardo Santos Morla 3,00

Teaching language

Suitable for English-speaking students

Objectives

Students should acquire competences in the planning and integrated management of network and system infra-structures. Today these network system infra-structures can easily have a petabit/s network core, million user-scale network access, complex network services like video content distribution, tens of thousands of servers and applications, and thousands of employee-owned mobile devices (BYOD), all with *-as-a-service requirements. Planning, configuring, and assessing the performance and accountability of these systems in a secure way is a challenge today and for the future.

Learning outcomes and competences

Learning results should provide students with competence in the procedures for managing a network, systems, and communication services infrastructure, in particular: - Specify, acquire, and evaluate requirements for infrastructure planning and design - Planning and designing the network and system infrastructure - Perform a rigorous choice of support equipments and systems based on specified requirements - Specify functional areas in management - Select adequate management platforms and tools.

Working method

Presencial

Program

Enterprise networks:requirements analysis, flow analysis, fundamental components and services; network topologies, virtual networks (VLAN, VPN), WAN/LAN integration, addressing and routing planning, quality of service and security. Systems architectures for enterprise networks: server clustering, load balancing models, high availability, scalability, and redundancy. Network management: functional areas; management layers; management operations and high-level functionalities; SNMP-based management architecture; management model fundamental components; MIBs, agents, managers, proxys, and probes; information models; web-based integrated management of networks and components (WBEM); management platform evaluation.

Mandatory literature

McCabe, James D.; Network analysis, architecture, and design. ISBN: 978-0-12-370480-1
Oppenheimer, Priscilla; Top-down network design. ISBN: 1-58705-152-4
Comer, Douglas E.; Internetworking with TCP/IP. ISBN: 0-13-187671-6

Complementary Bibliography

Stallings, William; SNMP, SNMPv2, SNMPv3, and RMON 1 and 2. ISBN: 0-201-48534-6

Teaching methods and learning activities

Explaining of fundamental concepts backed up with examples. Application of concepts through lab projects.

keywords

Technological sciences > Engineering > Systems engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 20,00
Participação presencial 10,00
Trabalho escrito 70,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 38,00
Frequência das aulas 42,00
Trabalho laboratorial 82,00
Total: 162,00

Eligibility for exams

Students must perform all lab projects.

Calculation formula of final grade

0,7D + 0,1P + 0,2E : D - distributed evaluation grade E - exam grade P - class participation. Approval requires a minimum of 50% score in the exam and in distributed evaluation.

Examinations or Special Assignments

Distributed evaluation is based mostly on lab projects. As such, the distributed evaluation component is required from all students regardless of their enrollment status.

Special assessment (TE, DA, ...)

Distributed evaluation is based mostly on lab projects. As such, the distributed evaluation component is required from all students regardless of their enrollment status.

Classification improvement

Classification improvement in the distributed evaluation component is done during the regular hours of the Course Unit's lab work.

Observations

Approval requires a minimum of 50% score in the exam and in distributed evaluation.

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