Embedded Computing 2 (STECE-2023): Syllabus#

Course Description#

Scope and curriculum location#

The course Embedded Computing 2 takes place in the 5th semester of the Bachelor’s degree programme Electronics and Computer Engineering and has the following scope:

  • 3 teaching units per week

  • 4 ECTS credits

Course leader: Jörg Faschingbauer

Content#

  • Object oriented programming in C++

  • Linux systems programming

  • Embedded linux: hardware interfaces (I2C, SPI, GPIO)

  • Cross development

Previous Knowledge Expected#

Students are expected to have prior knowledge in the following areas:

  • Computer Science and Programming 1

  • Computer Science and Programming 2

  • Embedded Computing 1

Objective#

The students

  • know about the Linux OS system level concepts and interfaces

  • know how to design system level software

  • know how to use the features of C++

  • know about OO design patterns

  • can find their place in an existing project, should they be hired for that purpose

Teaching and Learning Methods#

  • Teaching

    • Frontal lectures at a minimum

    • Live programming by trainer, with explanations

  • Exercises

    • Occasional exercises to settle frontal slide material

    • Project work (workpackages partly participate in grading)

Information On The Examination#

Assessment#

  • Written exam at end of semester

  • Exercises during semester course

  • Project work, homework

Scoring#

The final grade is made up of the results of the partial performances listed above as follows:

  • 40% written exam at end of semester

  • 60% exercises during semester course, project work, homework

The 60% share of the total is considered practical work. It is gathered by performing project work (either in groups or alone), or by passing occasional small exercises.

Be aware that, though, that this score might be decreased by the course leader if it turns out that you have been cheating. This might happen, for example, if you are using AI tools to generate code for you and not understand it.

Grading#

The final mark is defined by the total score, using the following scheme:

91 – 100

Very good (1)

81 – 90

Good (2)

71 – 80

Satisfactory (3)

61 – 70

Sufficient (4)

0 – 60

Failed (5)

Allowed Resources For Written Examinations#

None

Use Of Artificial Intelligence Assistance Systems#

During the practical part (project work) students are permitted to use AI tools freely.

Attention

In case you use AI to generate code for you, do make sure that you understand that code. Otherwise it might well be that you are subtracted points from the score you already reached!

Repetition Options#

In the case of a negative assessment, the following options exist:

  • Repeat only the theoretical exam (which contributes 40%) and reach as many of the 40% as are necessary to pass

  • Do extra project work to gather practical points, thereby possibly exceeding the 60%

Whichever option is chosen/permitted depends on the severity of the failure, and has to be decided by course leader and student.

The board repetition of an examination is always an overall examination. However, thematic focal points can be set.

Examinations that have been passed can be repeated once. The repetition of a positively completed examination must be reported to the head of the degree programme within two weeks of the announcement of the examination result. If several partial performances are to be achieved, the course instructor determines which ones are to be repeated. Registration for the examination is required for the repetition. This repetition counts towards the total number of examination attempts.

For each retake exam, only the grade of the retake exam counts.

Attendance Requirements#

Students must attend at least 80% of the courses.

Attendance is compulsory for computer and laboratory exercises. Exceptions are only possible in justified individual cases (e.g. illness). In such cases, the exercises must be made up or substitute work must be provided.