26 March 2026
Ph.D. CANDIDATES
Writing a dissertation and academic articles are an integral part of doctoral studies. Join us for a practical overview of generative AI tools provided by Charles University. We’ll navigate the complex landscape of journal policies—from total bans to mandatory disclosures—and clarify the latest Charles University guidelines for thesis writing.
26 March 2026
This webinar offers a practical overview of generative AI tools provided by Charles University. At the same time, it will navigate the complex landscape of journal policies—from total bans to mandatory disclosures—and clarify the latest Charles University guidelines for thesis writing.
13 April 2026 – 20 April 2026
This two-day introductory course provides a practical foundation in Python programming, designed for beginners and researchers who want to start working with Python for data analysis and scientific tasks. The course is hands-on and practice-oriented, with examples and exercises throughout both afternoons. By the end of the course, participants will be able to write simple Python scripts, process data from files, and perform basic numerical analysis using NumPy. The course is followed by a one-day seminar on Data Visualization in Python. The course is organized by the Research Software Engineering (RSE) Center at Charles University. For information on other courses organized by RSE, visit Upcoming Training - RSE.
16 April 2026
Discover how feedback in peer observation can become a powerful driver of professional learning when it is grounded in trust and framed as a collaborative, non-judgmental practice. This 2.5-hour online workshop focuses on developing effective feedback skills within peer observation, emphasizing how trust, clear goals, and shared guidelines support meaningful and constructive feedback conversations.
The workshop introduces feedback as a central element of formative peer observation and as a key practice for professional growth. Participants will explore how the quality of feedback is shaped by the relational context in which it is offered, and why trust is a prerequisite for open, reflective dialogue about teaching. Building on this foundation, the workshop addresses how to define clear observation goals that guide what feedback focuses on, and how observation guidelines can be used to collect relevant evidence that supports feedback grounded in what was observed rather than in personal judgments. Particular attention is given to distinguishing evaluative from developmental feedback and to practicing feedback that is descriptive, evidence-informed, and oriented toward reflection and learning. Through theoretical input and guided activities adapted to the online format, participants will engage with examples of feedback conversations in peer observation.
21 April 2026 – 21 May 2026
Ph.D. CANDIDATES
Ahoj, jmenuji se…. If you are a Ph.D. student who has finished Survival Czech: Language Course for Beginners, join our second following up webinar. This course will focus on apologies, time expressions, or daily routine.
27 April 2026
This one-afternoon course focuses on practical data analysis and visualization in Python using Pandas and Matplotlib. The course is preceded by a two-day seminar Introduction to Python for Researchers I and II. The course is organized by the Research Software Engineering (RSE) Center at Charles University. For information on other courses organized by RSE, visit Upcoming Training - RSE.
19 May 2026
Discover how the design of assessment shapes students’ collaboration, and learning in group activities. This 2.5-hour online workshop focuses on how to assess group work in ways that are fair, transparent, and aligned with learning objectives, while reducing common risks such as unequal participation, conflict, and student (and teacher) frustration.
The workshop starts from the premise that assessment is not a neutral element of group work, but a key factor that defines how students approach collaboration. Participants will explore the main challenges of assessing group activities, including the distinction between assessing group products and group processes, the visibility of individual contributions, and issues of fairness and accountability. Building on these foundations, the workshop addresses key design decisions in group assessment: what to assess, which criteria to use, who should be involved in the assessment process, and how group performance can be translated into individual grades. Particular attention is given to the use of grading rubrics and to the importance of clearly communicating assessment criteria and procedures to students.
26 May 2026 – 25 June 2026
Ph.D. CANDIDATES
Učím se česky. If you are a Ph.D. student who has finished the first two courses Survival Czech, or you already have basic knowledge of the Czech language wanting to develop, join our second following up webinar. This course will focus on making plans, health, or transportation.
2 June 2026
Basic introduction to the SPSS program.
Charles University
Rectorate
Student Affairs Department
Ovocný trh 5
116 36 Prague 1
Czech Republic
Identifikátor datové schránky: piyj9b4
IČO: 00216208
DIČ: CZ00216208
