
Antennas
Code: 102704Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Telecommunication Systems Engineering | OP | 4 |
Contact lecturer
- Name :
- Sergio Lopez Soriano
- Email :
- sergio.lopez.soriano@uab.cat
Teaching staff
- Joan Gemio Valero
- Sergio Lopez Soriano
Group languages
You can consult this information at the end of the document.
Prerequisites
It is recommended to have successfully taken the courses of Radiation and Guided Waves and Radio Communication Systems.
The contents of the course are closely related to the optional courses of Microwave Engineering and Design and Simulations Tools I, for that reason, it is also recommended, although not mandatory, taking all these courses simultaneously.
Objectives
Antennas are a key component in many telecommunication systems since they act as transducers between guided waves and radiated waves. In this course we will develop the tools that relate the antenna shape and size to its behavior. In this way, the future graduate will be able to analyze and design antennas for different applications.
Once completed the course you should be able to:
- Describe the radiation parameters of basic antennas
- Predict the behavior of radiating structures using simple approximations
- Design basic radiating structures that meet given specifications
- Use simulations tools for analyzing and designing antennas
- Convey the conclusions of their work in a proper technical language
Learning outcomes
- Design radio communication based applications, understood to be systems for receiving and transporting information.
- Use specific simulation tools to analyse and design radiofrequency telecommunication applications.
- Analyse and design radiofrequency, microwave, broadcasting, radio-link and radio-determination antennas, circuits, subsystems and systems.
- Develop the capacity for analysis and synthesis.
- Develop systemic thinking.
- Communicate efficiently, orally and in writing, knowledge, results and skills, both professionally and to non-expert audiences.
- Develop curiosity and creativity.
- Generate innovative and competitive proposals in professional activity.
- Manage information by critically incorporating the innovations of one's professional field, and analysing future trends.
Contents
- Introduction
- Fundamentals of radiation
- Basic antennas
- Aperture antennas
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Problem solving | 12 | 0.48 | 1, 3, 4, 5, 6, 7, 8, 9 |
| Pre-lab assignment and lab reports | 25 | 1 | 1, 2, 3, 4, 5, 6, 7, 8, 9 |
| Tutoring | 4 | 0.16 | 1, 2, 3, 4, 5, 6, 7, 8, 9 |
| Lectures | 26 | 1.04 | 1, 3, 4, 5, 6, 7, 8, 9 |
| Practical work in laboratory | 12 | 0.48 | 1, 2, 3, 4, 5, 6, 7, 8, 9 |
| Personal study | 32 | 1.28 | 1, 3, 4, 5, 6, 7, 8, 9 |
Directed activities
- Lectures: explanation of theoretical contents
- Problem solving: application examples
- Practical work in laboratory: development of a planned activity using simulation tools
Supervised activities
- Personal study of the course contents
- Preparation of lab activities and reports
Supervised activities
- Tutoring: individual or small group meetings to clarify concepts, to advise on the development of the course or to attend other specific issues.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Midterm exam | 20% | 3 | 0.12 | 1, 3, 4, 5, 7, 8, 9 |
| Final exam | 50% | 3 | 0.12 | 1, 3, 4, 5, 7, 8, 9 |
| Lab reports | 15% | 17 | 0.68 | 1, 2, 3, 4, 5, 6, 7, 8, 9 |
| Pre-lab assignment | 15% | 16 | 0.64 | 1, 3, 4, 5, 6, 7, 8, 9 |
This course does not provide for a single-assessment system.
a) Assessment activities
Final exam (ExF): 50%
It will consist of short-answer questions and problems. A minimum grade of 4 in this exam will be required in order to pass the course through the ordinary assessment process.
Midterm exam (ExP): 20%
It will consist of short-answer questions and problems covering the content specified by the teaching staff responsible for the course.
Pre-lab assignments (EpP): 15%
Individual work consisting of answering the proposed questions and reading the laboratory instructions. All pre-lab assignments will have the same weight within the grade for this activity.
Laboratory reports (InP): 15%
Work carried out in small groups, consisting of answering the questions included in the laboratory instructions. All reports will have the same weight within the grade for this activity.
Failure to submit an assignment by the established deadline will result in a grade of zero for that assignment.
b) Scheduling of assessment activities
ExF and ExP: the exam dates will be announced on the first day of the course and published on the Virtual Campus and the School of Engineering website.
EpP and InP: the submission dates will be announced on the first day of the course and published on the Virtual Campus.
These dates may be subject to scheduling changes in order to accommodate possible incidents. Students are advised to check the Virtual Campus regularly.
c) Resit process
ExF and ExP: these activities may be reassessed through a single resit exam (ExR), which will assess the content and learning outcomes corresponding to both the midterm exam and the final exam.
The grade obtained in this exam will replace the grades previously obtained in the midterm exam and the final exam, and will jointly account for 70% of the final course grade.
In accordance with UAB regulations, students may take the resit exam provided that they have completed a set of assessment activities accounting for at least two thirds of the total course grade.
Taking the resit exam implies waiving the grades previously obtained in the midterm exam and the final exam, regardless of whether those grades are higher or lower than the grade obtained in the resit exam.
EpP and InP: these activities are considered non-reassessable. The grades obtained will be retained for the calculation of the final grade after the resit exam.
d) Review of assessment grades
For each assessment activity, a place, date and time will be announced so that students may review the activity with the teaching staff.
During this review process, students may submit claims regarding the grade awarded. These claims will be assessed by the teaching staff responsible for the course. If a student does not attend the scheduled review, the activity will not be reviewed at a later date.
e) Grades
Ordinary assessment
If ExF < 4:
Final grade = ExF
If ExF ≥ 4:
Final grade = 0.50 × ExF + 0.20 × ExP + 0.15 × EpP + 0.15 × InP
To pass the course, students must obtain a final grade of at least 5.
Assessment after the resit exam
If ExR < 4:
Final grade = ExR
If ExR ≥ 4:
Final grade = 0.70 × ExR + 0.15 × EpP + 0.15 × InP
The grade obtained in the resit exam will jointly replace the previous grades for the midterm exam and the final exam.
To pass the course after the resit exam, students must obtain a final grade of at least 5.
Honours: the highest final grades may be awarded an honours distinction. The decision to award this distinction lies with the teaching staff responsible for the course.
UAB regulations establish that honours may only be awarded to students who have obtained a final grade of at least 9. Honours may be awarded to a maximum of 5% of the total number of students enrolled in the course.
A student will be considered not assessable (NA) if they complete less than 10% of the course assessment activities.
f) Academic misconduct, cheating and plagiarism
Without prejudice to any other disciplinary measures deemed appropriate, any irregularity committed by a student that may lead to an alteration of the grade awarded for an assessment activity will result in a grade of zero for that activity.
Therefore, cheating, plagiarism, deception, allowing another student to copy, or any similar conduct in any assessment activity will result in a grade of zero for that activity.
g) Use of artificial intelligence
The use of artificial intelligence technologies is permitted in this course as an integral part of the work process, provided that the final result reflects a significant contribution by the student in terms of analysis and personal reflection.
Students must clearly identify which parts have been generated using these technologies, specify the tools used, and include a critical reflection on how those tools influenced both the process and the final outcome of the activity.
Failure to disclose the use of artificial intelligence will be considered a breach of academic integrity and may result in a penalty in the grade awarded for the activity or more serious sanctions in particularly severe cases.
h) Assessment of repeat students
There is no differentiated assessment procedure for repeat students. Therefore, no grades obtained in the previous academic year will be retained.
Bibliography
- Cardama et al., “Antenas” Edicions UPC, Barcelona, 2ª edición, 2002. https://upcommons.upc.edu/handle/2099.3/36797
- C.A. Balanis, “Antenna Theory, Analysis and Design”, John Wiley & Sons, Inc., New Jersey, 3ª edició, 2005. (Other editions are also valid, this edition contains a CD with extra materials)
- T.A. Milligan, \"Modern Antenna Design\", John Wiley & Sons, Inc., New Jersey, 2ª edició, 2005. https://onlinelibrary.wiley.com/doi/book/10.1002/0471720615
Software
- FEKO EM solver from Altair. Student version. https://web.altair.com/altair-student-edition
- Matlab from Mathworks. https://es.mathworks.com/academia/tah-portal/universitat-autonoma-de-barcelona-40811157.html
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 330 | Catalan/Spanish | first semester | morning-mixed |
| (PAUL) Classroom practices | 331 | Catalan/Spanish | first semester | morning-mixed |
| (PLAB) Practical laboratories | 331 | Catalan/Spanish | first semester | morning-mixed |
| (PLAB) Practical laboratories | 332 | Catalan/Spanish | first semester | morning-mixed |