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Lecturer(s)
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Čengery Miloslav, Ing. Ph.D.
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Course content
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Students will be able to choose content from the menu with regard to their previous knowledge and current interests. The course will be taught in the form of practical workshops in partner IT companies and the topics will be regularly updated. Workshops on software development, eg: - introduction to the development of mobile devices, - introduction to Python programming, - advanced data analysis - Python / Java - choice of programming language, - advanced software development techniques in Java / Python / .NET ... Testing workshops eg: - web application testing - unit tests, selenium ..., - testing of mobile applications, - software testing - user, automatic, ... Workshops on various technological topics: - git, - docker, - message brokers - eg RabbitMQ, - no-sql database - Mongo, ElasticSearch, Redis, - cloud technologies - Google cloud, AWS, MS Azure
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Learning activities and teaching methods
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- Practical training (number of hours)
- 20 hours per semester
- Preparation for laboratory testing; outcome analysis (1-8)
- 6 hours per semester
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| prerequisite |
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| Knowledge |
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| The student has basic knowledge of computer operation. |
| The student knows the basic formats for storing textual information. |
| Skills |
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| advanced pc operation |
| is able to work with MS Excel spreadsheet on advanced level |
| Competences |
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| N/A |
| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| When passing the course a student has: - knowledge of software development - eg control of modern IDE, - knowledge of software testing, - basic knowledge of CI / CD and DevOps, - technological knowledge of his choice - eg git, docker, RabbitMQ, no-sql database |
| Skills |
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| practical ability to analyze data and draw conclusions |
| the student is able to preprocess, analyze and visualize text input data |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
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| Knowledge |
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| Interactive lecture |
| Field trip |
| Practicum |
| Skills |
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| Lecture |
| Lecture with visual aids |
| Practicum |
| Field trip |
| Competences |
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| Lecture |
| Lecture with visual aids |
| Field trip |
| assessment methods |
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| Knowledge |
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| Skills demonstration during practicum |
| Skills |
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| Skills demonstration during practicum |
| Competences |
|---|
| Skills demonstration during practicum |
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Recommended literature
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Clinton Gormley, Zachary Tong. Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine. 2019. ISBN 1449358543.
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Shannon Bradshaw , Eoin Brazil , et al. MongoDB: The Definitive Guide: Powerful and Scalable Data Storage. USA, 2019. ISBN 1491954469.
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