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Before choosing courseEQ2870 Machine to machine communication 6.0 creditsAdministrate About course

The course gives an introduction in the area of machine-to-machine communications. On the technical side, it discusses the major challenges, solutions and application fields of machine-to-machine communications. Regarding skills, the course enables the students to work closely with research literature and teaches students to tackle important design problems in the area of machine-to-machine communications. 

Course offering missing for current semester as well as for previous and coming semesters
* Retrieved from Course syllabus EQ2870 (Spring 2014–)

Content and learning outcomes

Course contents

The course introduces the main challenges, solutions and application fields of of machine-to-machine communications. As an emerging networking paradigm, machine-to-machine communications spans all communication processes that do not involve humans and which are designed to pursue tasks of automation in the most general sense. This enables completely new application areas but introduces several novel and severe challenges. These have been addressed by research industry over the last couple of years and have initiated new standardization activities as well as significant research findings. This course deals with these new insights and technologies and puts them in relation to the new emerging application fields. In particular, the course is divided into five different blocks: Capillary networking, wide-area networking, tagging / identification / localization services, and application scenarios (Internet-of-things, smart grid, vehicular networks). Each block is accompanied by a mandatory  assignment for students to be worked on individually as well as in groups. Assignments that have to be worked on in groups are afterwards presented in front of class.  

Intended learning outcomes

In order to pass the course, students should be able to:

- Identify the main challenges associated with machine-to-machine communications with respect to the status quo in networking today.

- List the main standards/protocols/algorithms/research activities which address these challenges as of today.

- Describe how these standards/protocols and algorithms solve the challenges at hand.

- Dimension either local or wide-area networks for machine-to-machine applications with respect to the standard/protocol chosen.

- Identify limits of standards/protocols and algorithms with respect to machine-tomachine applications

- Explain major technological approaches for the problems of tagging/identification and localization

- Analyze a selected application scenario for machine-to-machine communications and demonstrate the interrelationship between the different components (capillary, widearea and auxiliary functions) with respect to the application scenario chosen.

A-level students should be able (in addition) to:

- Identify the most important research problems in the different areas of machine-tomachine communications and current approaches to overcome them.

- Combine different standards/protocols/approaches of different areas (capillary, wideare,

auxiliary) into a single system conceptually and identify performance bottle necks.

- Summarize, explain and apply the most important models underlying the major technical solutions developed in the different areas of machine-to-machine communications.

Course Disposition

See further about the examination requirements. 

Literature and preparations

Specific prerequisites

Basic eligibility to be accepted to the course requires that the applicant has a degree
on the first level consisting of at least 180 higher education credits or a corresponding foreign
degree. And a good knowledge of English, equivalent to Eng 6.

Recommended prerequisites

- Basics in networking (LAN, WAN, IP, TCP/UDP, higher layer services),

- Basics in wireless communications / networking (Wireless channel, modulation and coding, 802.11, 802.15, cellular networks)

Equipment

No information inserted

Literature

Reading assignments (research papers) are passed to the students one week before class.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Homework, 3,0 hp, betygsskala: A, B, C, D, E, FX, F
  • TEN1 - Exam, 3,0 hp, betygsskala: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

The course is graded on an A-F basis. Assessment contains two components. Students have to work on the exercise sets and take a final exam. Two exercise sets will be worked on alone, two will be worked on in groups. For the exercise sets that are worked on individually, the grading is afterwards performed based on peer-reviewing (hence, students also have to grade two assignments of their colleagues). All exercise sets together yield a certain grade (A-F).  The final exam is either a written examination or (more likely) an oral examination. Exams and exercises have equal weight towards the final grade.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture James Gross

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web EQ2870

Offered by

EES/Information Science and Engineering

Main field of study

Electrical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

James Gross