Data Networks (01117), 10 cr

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 Study unit                            Data Networks (01117), 10.0
 Implementation                        NIA1311: 1/2013-2014 (02.09.2013 - 03.12.2013)
 Type                                  INITIATION OF PROFESSIONAL GROWTH (A029)
 Groups                                Primary: NIA13SN Others :
 Involved in the project
 Lecturers                             Riku Salmenkylä
 Number of participants                Minimum: Maximum:
 Enrolment period                      20.05.2013 08:00 - 02.06.2013
 Main timing for implementation
 Applicabililty                        For exchange students: Yes For elective studies: Yes Open UAS student:
                                       No Suitable for virtual UAS: No

 Teachers                              Salmenkylä Riku (Teacher in charge), Koponen Seppo (Other teacher), Takala Jouni
                                       (Other teacher)
 Campus                                Laurea Leppävaara
 Main location for implementation
 Implementation method                 Optima realization/student group, Other method of implementation Language:
                                       English Virtuality: 0 cr Integration of R&D: 0 cr
 Implementation class
 Focus areas
 Evaluation at the latest              03.01.2014 Storing of graded material ends.: 17.12.2014
 Exam days                             Real: week 49 (tentative)

 Having completed the study unit the   # know the basic theory behind data networks
 student is able to
                                       # describe the concepts of LANs, WANs and WLANs

                                       # describe and define operation and active equipment of a LAN

                                       # justify solutions and purchases related to data networks

                                       # work responsibly in a company’s data network
 Previous studies
 Previous studies, more information    This is a technical course. Basic understanding and experience of computers and how
                                       they can access data networks like Internet is very useful.
 Learning objectives                   After the course students can: - Explain the terms and acronyms in data networking

                                       - Describe the basic technology under modern networking

                                       - List basic networking protocols and their purpose

                                       - Participate in networking related projects
 Contents                              ●       Computer basics
                                       ●       Microsoft LAN and Windows OS environment
                                       ●       Linux OS
                                       ●       Server and workstation configuration in MS networks
                                       ●       Switching and routing
                                       ●       Cabling
                                       ●       Binary calculations
 Study material                        Presentation slides will be shared in Optima. Wu, Chwan-Hwa. Irwin, J. David. 2013.
                                       Introduction to Computer Networks and Cybersecurity CCENT/CCNA ICND1 (Cisco

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                                          Certified Entry Networking Technician/Cisco Certified Network Associate

                                          Interconnecting Cisco Networking Devices 1)
 Tutoring and communication               Optima workspace "01117/NIA1311 Data Networks"
 Evaluation criteria and methods           Weight Grade

                                          Exam 70% 0-5

                                          Lab exercises 20% pass/fail

                                          Activity 10% +1

                                          Overall study unit grading: Lab exercises must be passed but do not influence in the
                                          total grade for the 10cr study unit. The weight reflects the workload/amount of (partial)
                                          credits earned. The grading (0-5) is based on the exam results only, however active
                                          participation may raise the basic grade earned in the exam.
 Project (name)                           No project in this study unit.
 Work strain                              See evaluation criteria above.
 Other arrangements                       Lectures twice a week, usually in a computer room.

Learning events
 Date           o'clock/at h       Subject          Content                                        Status            Teachers
 02.09.2013     12:30      3       Opening          - The content of the course- Textbook-                           Riku
                                   lecture          Evaluation- etc                                                  Salmenkylä,
                                                                                                                     Jouni Takala
 03.09.2013     9:00      2        Second                                                          TBD
                                   lecture
 09.09.2013     12:30     3                                                                        009
 10.09.2013     9:00      2                                                                        009
 16.09.2013     12:30     3                                                                        009
 17.09.2013     9:00      3                                                                        009
 23.09.2013     12:30     3                                                                        009
 24.09.2013     9:00      3                                                                        009
 03.12.2013               3        End of study                                                    009
                                   unit
 10.12.2013               3        Final returns,                                                  009
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