| Study program / study programs: Advanced data analytics |
| Degree level: Master |
| Course: Internship |
| Teacher: All teachers participating in the study program |
| Course status: Required |
| ECTS points: 3 |
| Prerequisites: – |
| Course objectives: Preparing students for independent research and professional work in identifying and solving specific problems related to the fields studied in the Advanced data analytics degree program (in real-life contexts, such as workplace and/or research laboratories and centers). |
| Learning outcomes: Gaining experience with and mastery of application of modern computer technology, tools and applications in analyzing complex data in selected application areas. The ability to use the acquired theoretical and practical knowledge in identifying and addressing specific data analysis problems and tasks, using quantitative methods and appropriate software tools. |
| Course structure and content: Project tasks and activities related to advanced data analysis, where software technology is applied to conduct the work. Defining research tasks and objectives. Identification and description of basic problems through development of key points. Basic methods, techniques and tools for practical project implementation – selection of appropriate computing methods related to the project objectives and/or predicted empirical research. Basic elements of presenting the results achieved and/or research conducted – electronic presentation of the project on the Internet, presentations using collaborative Internet tools, electronic portfolio presentation. Specifying an internship project – the student’s tasks, activities and responsibilities (if the project is implemented in a specific organization), mode, form and content of the final report, and the like. |
| The number of class hours per week Lectures: 0 Labs: 0 Workshops: 0 Research study: 0 Other classes: 6 |
| Teaching methods: Introduction to software the software tools used in the hosting organization, as well as participation in practical projects in the hosting organization where experience is gained related to the use of these tools. |
| Evaluation/Grading (maximum 100 points): Pre-exam requirements: 50 Final exam (Tests / Final exam in writing): 50 |
