| Language of instruction : English |
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Sequentiality
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No sequentiality
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master of Electronics and ICT Engineering Technology | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| EC1 - The holder of the degree thinks and acts professionally with an appropriate engineering attitude and continuous focus on personal development, adequately communicates, effectively cooperates, takes into account the economical, ethical, social and/or international context and is hereby aware of the impact on the environment. | | | - DC
| DC-M9 - can communicate in oral and in written (also graphical) form. | | | | - BC
| can communicate in a clear manner on problems and solutions related to IoT. | | | - DC
| DC-M10 - can function constructively and responsibly as member of a (multidisciplinary) team. | | | | - BC
| is able to design and implement IoT systems as member of a team. | | | - DC
| DC-M12 - shows a suitable engineering attitude. | | | | - BC
| shows an engineering attitude when designing, implementing and evaluating IoT systems. | - EC
| EC5 - The holder of the degree has specialist knowledge of and insight in principles and applications within the domains of digital electronics, in which he/she can independently initiate, plan, critically analyse and create solid solutions with eye for data processing and implementation, with the help of simulation techniques or advanced tools, while being aware of potential mistakes, practical constraints and with attention to the topical technological developments. | | | - DC
| DC-M1 - has knowledge of the basic concepts, structures and coherence. | | | | - BC
| has knowledge of the basic concepts related to IoT hardware. | | | - DC
| DC-M2 - has insight in the basic concepts and methods. | | | | - BC
| has insights in IoT hardware and its usage for specific applications. | | | - DC
| DC-M3 - can recognize problems, plan activities and perform accordingly. | | | | - BC
| can detect problems in the context of an IoT system, plan activities and solve those detected issues. | | | - DC
| DC-M4 - can gather, measure or obtain information and refer to it correctly. | | | | - BC
| can look up, measure or collect information about IoT applications and refer to it correctly. | | | - DC
| DC-M5 - can analyze problems, logically structure and interpret them. | | | | - BC
| can analyze problems within the context of IoT and propose appropriate hardware requirements. | | | - DC
| DC-M6 - can select methods and make calculated choices to solve problems or design solutions. | | | | - BC
| can evaluate and select hardware solutions for IoT systems according to the requirements of a specific application. | | | - DC
| DC-M7 - can use selected methods and tools to implement solutions and designs. | | | | - BC
| can use selected hardware to implement IoT systems. | | | - DC
| DC-M8 - can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| can critically evaluate knowledge and has the skills in order to adjust his or her thinking and acting based on this. | - EC
| EC7 - The holder of the degree has specialist knowledge of and insight in principles and applications within the domains of computer technology and algorithms of programming languages, in which he/she can initiate, plan, critically analyse and create solid solutions with eye for data processing and implementation, with the help of simulation techniques or advanced tools, while being aware of potential mistakes, practical constraints and with attention to the topical technological developments. | | | - DC
| DC-M1 - has knowledge of the basic concepts, structures and coherence. | | | | - BC
| has knowledge of the basic concepts related to IoT software. | | | - DC
| DC-M2 - has insight in the basic concepts and methods. | | | | - BC
| has insights in IoT software and its usage for specific applications. | | | - DC
| DC-M3 - can recognize problems, plan activities and perform accordingly. | | | | - BC
| can detect problems in the context of an IoT system, plan activities and solve those detected issues. | | | - DC
| DC-M4 - can gather, measure or obtain information and refer to it correctly. | | | | - BC
| can look up, measure or collect information about IoT applications and refer to it correctly. | | | - DC
| DC-M5 - can analyze problems, logically structure and interpret them. | | | | - BC
| can analyze problems within the context of IoT and propose appropriate software requirements. | | | - DC
| DC-M6 - can select methods and make calculated choices to solve problems or design solutions. | | | | - BC
| can evaluate and select software solutions for IoT systems according to the requirements of a specific application. | | | - DC
| DC-M7 - can use selected methods and tools to implement solutions and designs. | | | | - BC
| can use selected software to implement IoT systems. | | | - DC
| DC-M8 - can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| can critically evaluate knowledge and has the skills in order to adjust his or her thinking and acting based on this. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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This course introduces the design of IoT systems, which use a network of physical objects that are embedded with software, sensors, and other technologies for application specific purposes in a broad range of domains, ranging from smart homes to manufacturing. The course deals with, among others, hardware and software interfacing of peripheral electronics, sensors and actuators.
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Application Lecture ✔
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Demonstration ✔
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Exercises ✔
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Group work ✔
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Homework ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 40 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Multiple-choice questions | ✔ |
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| Other evaluation method during teaching period | 60 % |
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| Additional information | More information about the multiple choice examination and the quoted exercises will be available on Toledo. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | For the re-examination only the project (60%) can be resubmitted. |
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| Compulsory course material |
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Course material will be made available in class or through the digital learning platform. |
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| Master of Teaching in Sciences and Technology - Engineering and Technology choice for subject didactics engineering & technology | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| ENG&TECH 2. The newly graduated student has advanced knowledge of and insight into the acquired specific subject didactics and is able to creatively conceive, plan and implement these in an educational context, in particular as an integrated part of a methodologically and project-based series of actions within a multidisciplinary STEM project with a significant component of research and/or innovation. | - EC
| ENG&TECH 3. The newly graduated student has advanced or specialised knowledge of and insight into the principles, structure and technologies of various industrial processes and techniques relevant to his/her specific subject didactics and can autonomously recognise, critically analyse and find methodical and well-founded solutions to complex, multidisciplinary, unfamiliar, practice-oriented design or optimisation problems with an eye to application, selection of materials, automation, safety, environment and sustainability, an awareness of practical limitations and attentiveness to current technological developments. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
This course introduces the design of IoT systems, which use a network of physical objects that are embedded with software, sensors, and other technologies for application specific purposes in a broad range of domains, ranging from smart homes to manufacturing. The course deals with, among others, hardware and software interfacing of peripheral electronics, sensors and actuators.
|
|
|
|
|
|
|
|
|
Application Lecture ✔
|
|
|
|
|
|
|
|
Demonstration ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
| Other evaluation method during teaching period | 60 % |
|
|
|
|
| Additional information | More information about the multiple choice examination and the quoted exercises will be available on Toledo. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | For the re-examination only the project (60%) can be resubmitted. |
|
|
|
|
|
| Compulsory course material |
| |
Course material will be made available in class or through the digital learning platform. |
|
|
|
|
|
| Exchange Programme Engineering Technology | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
|
| |
|
|
This course introduces the design of IoT systems, which use a network of physical objects that are embedded with software, sensors, and other technologies for application specific purposes in a broad range of domains, ranging from smart homes to manufacturing. The course deals with, among others, hardware and software interfacing of peripheral electronics, sensors and actuators.
|
|
|
|
|
|
|
|
|
Application Lecture ✔
|
|
|
|
|
|
|
|
Demonstration ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
| Other evaluation method during teaching period | 60 % |
|
|
|
|
| Additional information | More information about the multiple choice examination and the quoted exercises will be available on Toledo. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | For the re-examination only the project (60%) can be resubmitted. |
|
|
|
|
|
| Compulsory course material |
| |
Course material will be made available in class or through the digital learning platform. |
|
|
|
|
|
| Master of Software Systems Engineering Technology | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| EC1 – The Master of Software Engineering Technology can communicate adequately, cooperate effectively, and take into account the economic, ethical, social and/or international context and (s)he is aware of the impact on the environment in all aspects of his/her professional thought-process and agency. (S)he displays an appropriate engineering attitude, including continuous attention to the development of his/her professional competencies --. [people, data literacy and essential software skills]. | | | - DC
| DC-M9 - can communicate in oral and in written (also graphical) form. | | | | - BC
| The student can communicate in a clear manner on problems and solutions related to IoT. | | | - DC
| DC-M10 - can function constructively and responsibly as member of a (multidisciplinary) team. | | | | - BC
| The student is able to design and implement IoT systems as member of a team. | | | - DC
| DC-M12 - shows a suitable engineering attitude. | | | | - BC
| The student shows an engineering attitude when designing, implementing and evaluating IoT systems. | - EC
| EC2 - The Master of Software Engineering Technology masters the necessary sets of knowledge and skills regarding the design of integrated, resilient software systems and can creatively conceive, plan and implement them as an integrated part of a series of methodologically ordered actions within multidisciplinary projects with a significant research and/or innovation component. [systems thinking] | | | - DC
| DC-M1 - has knowledge of the basic concepts, structures and coherence. | | | | - BC
| The student has knowledge of the basic concepts related to IoT hardware. | | | - DC
| DC-M2 - has insight in the basic concepts and methods. | | | | - BC
| The student has insights in IoT hardware and its usage for specific applications. | | | - DC
| DC-M3 - can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student can detect problems in the context of an IoT system, plan activities and solve those detected issues. | | | - DC
| DC-M4 - can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student can look up, measure or collect information about IoT applications and refer to it correctly. | | | - DC
| DC-M5 - can analyze problems, logically structure and interpret them. | | | | - BC
| The student can analyze problems within the context of IoT and propose appropriate hardware requirements. | | | - DC
| DC-M6 - can select methods and make calculated choices to solve problems or design solutions. | | | | - BC
| The student can evaluate and select hardware solutions for IoT systems according to the requirements of a specific application. | | | - DC
| DC-M7 - can use selected methods and tools to implement solutions and designs. | | | | - BC
| The student can use selected hardware to implement IoT systems. | | | - DC
| DC-M8 - can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student can critically evaluate knowledge and has the skills in order to adjust his or her thinking and acting based on this. | - EC
| EC4 - The Master of Software Engineering Technology has advanced knowledge and understanding of principles and applications of contemporary wireless and mobile communication networks, and in this domain, (s)he can autonomously initiate, plan, critically analyse and solve problems in a well-founded manner with an eye for data acquisition and implementation, and with the help of simulation techniques or advanced tools. [connected] | | | - DC
| DC-M1 - has knowledge of the basic concepts, structures and coherence.
| | | | - BC
| The student has knowledge of the basic concepts related to IoT software. | | | - DC
| DC-M2 - has insight in the basic concepts and methods.
| | | | - BC
| The student has insights in IoT software and its usage for specific applications. | | | - DC
| DC-M3 - can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student is able to identify problems in an IoT context, plan activities and take action. | | | - DC
| DC-M4 - can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student can look up, measure or collect information about IoT applications and refer to it correctly. | | | - DC
| DC-M5 - can analyze problems, logically structure and interpret them. | | | | - BC
| The student can analyze problems within the context of IoT and propose appropriate software requirements. | | | - DC
| DC-M6 - can select methods and make calculated choices to solve problems or design solutions.
| | | | - BC
| The student can evaluate and select software solutions for IoT systems according to the requirements of a specific application. | | | - DC
| DC-M7 - can use selected methods and tools to implement solutions and designs.
| | | | - BC
| The student can use selected software to implement IoT systems. | | | - DC
| DC-M8 - can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student can critically evaluate knowledge and has the skills in order to adjust his or her thinking and acting based on this. | - EC
| EC5 - The Master of Software Engineering Technology masters the necessary sets of specialised knowledge and skills for the design of modular, integrated software systems that, on the basis of data acquisition and data analysis, can make intelligent decisions and that are resilient (secure, robust and scalable), within multidisciplinary projects with an applied research and/or innovation component. [intelligent & resilient systems] | | | - DC
| DC-M1 - has knowledge of the basic concepts, structures and coherence.
| | | | - BC
| The student has knowledge of the basic concepts, structure and coherence of IoT systems. | | | - DC
| DC-M2 - has insight in the basic concepts and methods.
| | | | - BC
| The student has insight into the basic concepts and methods used in IoT applications. | | | - DC
| DC-M3 - can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student can recognize problems in an IoT context, plan activities and take action. | | | - DC
| DC-M4 - can gather, measure or obtain information and refer to it correctly.
| | | | - BC
| The student can look up, measure or collect information about IoT applications and refer to it correctly. | | | - DC
| DC-M5 - can analyze problems, logically structure and interpret them.
| | | | - BC
| The student can analyse problems of IoT applications, logically structure and interpret those problems. | | | - DC
| DC-M6 - can select methods and make calculated choices to solve problems or design solutions.
| | | | - BC
| The student can select methods and make wellfounded choices to solve problems in an IoT context or design IoT solutions. | | | - DC
| DC-M7 - can use selected methods and tools to implement solutions and designs.
| | | | - BC
| The student can use selected methods and hard- en software development tools to implement IoT solutions and designs. | | | - DC
| DC-M8 - can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student can critically evaluate knowledge and has the skills in order to adjust his or her thinking and acting based on this. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
This course introduces the design of IoT systems, which use a network of physical objects that are embedded with software, sensors, and other technologies for application specific purposes in a broad range of domains, ranging from smart homes to manufacturing. The course deals with, among others, hardware and software interfacing of peripheral electronics, sensors and actuators.
|
|
|
|
|
|
|
|
|
Application Lecture ✔
|
|
|
|
|
|
|
|
Demonstration ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 1 Credits 4,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
| Other evaluation method during teaching period | 60 % |
|
|
|
|
| Additional information | More information about the multiple choice examination and the quoted exercises will be available on Toledo. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | For the re-examination only the project (60%) can be resubmitted. |
|
|
|
|
|
| Compulsory course material |
| |
Course material will be made available in class or through the digital learning platform. |
|
|
|
|
|
| Exchange Programme Engineering Technology | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
|
| |
|
|
This course introduces the design of IoT systems, which use a network of physical objects that are embedded with software, sensors, and other technologies for application specific purposes in a broad range of domains, ranging from smart homes to manufacturing. The course deals with, among others, hardware and software interfacing of peripheral electronics, sensors and actuators.
|
|
|
|
|
|
|
|
|
Application Lecture ✔
|
|
|
|
|
|
|
|
Demonstration ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Homework ✔
|
|
|
|
Period 1 Credits 4,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
|
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
| Other evaluation method during teaching period | 60 % |
|
|
|
|
| Additional information | More information about the multiple choice examination and the quoted exercises will be available on Toledo. |
|
|
|
| Compulsory course material |
| |
Course material will be made available in class or through the digital learning platform. |
|
|
|
|
|
1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|