4 Courses and Certifications

List of Online Courses and Certifications

Career Category
Specialization
Job Role
Skills

Offered by

Eindhoven University of Technology, Eindhoven via Coursera
Certificate

Microwave Engineering and Antennas

The Microwave engineering and antennas online course is offered by the education provider Coursera and developed by the Eindhoven University of Technology. The course study is about engineering involved in microwaves and the analysis of the working of antennas. The programme is scheduled for a period of eight weeks consisting of content worth thirty eight hours. The course is instructed by lecturers Bart Smolders, Ulf Johannsen, Domine Leenaerts who are from diverse backgrounds of academic and industrial nature from the Centre for wireless technology Eindhoven(CWT/e).

The Microwave engineering and antennas online training is done by experimental techniques and the course provides the learners with the knowledge about the process of designing microwave circuits and antennas and the design challenge where the students are given the opportunity to create an active phased array system. The modules in the course are delivered to the candidates through innovative web lectures, readings, online quizzes and a book is made available for the students for their study.

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9 Weeks
Intermediate
Free
Skills Covered:
Designing skills Knowledge of electronics Knowledge of engineering

Offered by

Eindhoven University of Technology, Eindhoven , EIT via Futurelearn
Certificate

Digital Learning Toolkit: Resources for Successful Online Teaching

In the wake of COVID-19, most face-to-face (F2F) training and education are being converted into online learning. The Digital Learning Toolkit online course provides you with the resources and tools to effectively create and lead online programs.

The Digital Learning Toolkit certification program will help you design an enjoyable and successful online learning experience for your students. The toolkit covers every dimension of delivering and creating digital media courses. Also, you will learn the optimum use of remote teaching techniques to engage your students.

FutureLearn’s Digital Learning Toolkit course will explore diverse topics, including web lecture recordings, learning analytics, blended learning design, learning theory, etc. During the five-week curriculum, you will become proficient in teaching your students digitally.

The Digital Learning Toolkit training by FutureLearn will also inspire you to experiment with various course ingredients like images, video, assignments, text, etc. Moreover, there are three joining options - Free (six-week audit), Upgrade (paid track for unlimited access and the certificate), and Unlimited (paid track for one-year access to hundreds of short-term courses, the completion certificate, unlimited access to any course you receive certification for, and more).

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5 Weeks
Skills Covered:
Teaching skills

Offered by

Eindhoven University of Technology, Eindhoven via Futurelearn
Certificate

Introduction to Process Mining with ProM

The Introduction to Process Mining with ProM course is being imparted by FutureLearn to provide the learners an understanding of process mining. This course has been developed by Eindhoven University of Technology, it is a design-oriented and research-driven university of technology. Process mining integrates business process management along with data science.

Taking the Introduction to Process Mining with ProM classes will teach the participants how to use a free, open source process mining framework to visualize, analyze, and improve processes based on data. 

Participants will be able to visualize and analyze business operations based on the recorded event data of their logs.  By pursuing the online Introduction to Process Mining with ProM certification programme will develop a critical and a process-centric perspective towards data, which is not possible in case of machine learning techniques or classical data mining. The Introduction to Process Mining with ProM syllabus has been designed in a manner that will develop proficiency in various process mining techniques such as social network analysis, conformance checking and performance analysis. Learners will be equipped to analyze the usage of public transportation by people, substantiate whether the bank loan application process is executed correctly, assess the learning behavior of students in a MOOC for course contents improvement and to predict when hardware parts are likely to break down.

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4 Weeks
Skills Covered:
Data science knowledge

Offered by

Eindhoven University of Technology, Eindhoven via Futurelearn
Certificate

Process Mining in Healthcare

The  Process Mining in Healthcare course by Future Learn is a special course that teaches all about the process of mining and gives a detailed study and explanation for students.

The students will obtain various skills and techniques of process mining such as analyzing healthcare data, improvising, using the ProM lite tool, event log filtering, event log inspection, and so on. The duration of the Process Mining in Healthcare classes are four weeks. By the end of the fourth week, students will gain plenty of knowledge and skills in process mining. The curriculum is designed by professionals in such a way that every topic is covered in these four weeks without any rush.

This Process Mining in Healthcare certificate course is developed by the Eindhoven University of Technology which is a prestigious research-driven university of technology. The Process Mining in Healthcare syllabus is designed by the universities which let the students have in-depth learning and understanding about the concepts. The professors taking the Process Mining in Healthcare classes are highly-trained and experienced in the subject who are from popular universities. It is an online course where students can learn from the comfort of their homes. Overall, it is such a well-designed course that creates an opportunity to study process mining. 

Also Read: Introduction to Process Mining with ProM

...Read More
4 Weeks
Skills Covered:
Data science knowledge

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