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Data Networks (5 cr)

Code: TTC1030-3023

General information


Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 28.04.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

0 - 35

Degree programmes

  • Bachelor's Degree Programme in Information and Communications Technology

Teachers

  • Karo Saharinen

Groups

  • TIC22S1
    Bachelor's Degree Programme in Information and Communications Technology

Objectives

Purpose:
You learn the structure, protocols of data networks used by computers (and other end devices). You also know the principles of planning a data network.

EUR-ACE Competences:
Knowledge and Understanding
Engineering Practice

The learning objectives:
You are familiar with protocols and data transmission principles used on the Internet. You know the layers of OSI model and identifies the technologies and protocols used on each layer of the model. You can design a local area network using, switches, routers, workstations and servers. You are able to design cabling, switching topology and routing scheme to run the data network. You know the different devices used on a network (e.g. switches, routers, firewalls, wireless base stations). You can change, handle and save the configuration used in network devices. You know how local area networks interconnect to one another through wide area networks.

Content

The contents stated through the OSI model:

Layer 1
- Physical cabling (copper, fiber)
- Wireless Local Area Networks
- Basic modulations in data transfer
- Devices

Layer 2
- Ethernet switching
- Network Segmentation (VLANs)
- Loop detection (Spanning Tree)
- MAC addressing

Layer 3
- IPv4 and IPv6 addressing, subnetting
- Routing (Static, OSPF and BGP)
- DHCP, ARP

Layer 4
- TCP and UDP

Layers 5 to 7
SSH, HTTP, DNS, SMTP

In addition, best practices in network design and configuration management are handled in the course.

Learning materials and recommended literature

Saharinen, Karo. 2022. Data Networks. http://datanetworks.pages.labranet.jamk.fi.

Teaching methods

- Lectures (flipped learning video or in classroom)
- Practical exercises
- Demonstration of skills as personal assignments

Practical training and working life connections

The course will contain points of view from the industry on how data networks operate in Finland.

Exam dates and retake possibilities

The course will use JAMK Exam Studio where you can reserve exam times based on your own calendar/timetable.

Alternative completion methods

The course can be done by accredition of competence. Agree upon the accreditation with the course lecturer. More information about accreditation in the degree regulations of JAMK and the study guide.

Student workload

5 ECTS * 27 h = 135 hours where,

33,25 h theory material, where
- 13,25 h = Video material/Lectures based on the text
- 20 h = re-reading the material
81,75 h = ~4,8h per exercise (if grade 5 is your goal)
15 h = Self-study (reflecting, going through additional material, troubleshooting, using relevant tools)
5 h = Exam (this includes retakes if necessary)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1: The student masters the theory on network protocols sufficiently and is able to recognize some sections of existing solutions. The student can plan and implement few parts of a small-scale network infrastructure based on given requirement specification.

Satisfactory 2: The student masters the theory on network protocols satisfactorily and is able to recognize existing solutions. The student can plan and implement some parts of a small-scale network infrastructure based on given requirement specification.

Evaluation criteria, good (3-4)

Good 3: The student masters the theory on network protocols well and is able to analyze existing solutions. The student is able to plan and implement most parts of a network infrastructure based on given requirement specification.

Very good 4: The student masters the theory on network protocols very well and is able to analyze existing solutions. The student is able to plan and implement almost all parts of a network infrastructure based on given requirement specification.

Evaluation criteria, excellent (5)

Excellent 5: The student masters the theory on network protocols excellently and is able to analyze existing solutions and create new solutions. The student is able to plan and implement all parts of a large-scale network infrastructure based on given requirement specification.

Evaluation criteria, pass/failed

The student masters the theory on network protocols sufficiently and is able to recognize some sections of existing solutions. The student can plan and implement few parts of a small-scale network infrastructure based on given requirement specification.