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Course description
The course introduces the students to major contemporary ways of theorizing world politics. Each theory is examined in a nexus with a specific empirical phenomenon to stimulate the student’s analytical facilities. Aims of the course The students will get a grasp of the ongoing IR theoretical debates and learn to apply the theories and concepts to some of the most important issues of international politics and security. They will also improve their reading, writing and argumentation skills as they work on assignments and participate in class debate. Last update: Kazharski Aliaksei, doc. Mgr., Ph.D. (31.08.2024)
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The use of AI for completing tests and assignments is not allowed in any form. The students are expected to work with the required readings and other materials independently and be prepared to discuss them in class and during the final exam. Knowledge of the required readings is a precondition of successfully passing the course. AI will not be used in any form for teaching. Last update: Kazharski Aliaksei, doc. Mgr., Ph.D. (22.09.2025)
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Course requirements The students must read all the required literature listed in the syllabus. Reading is an absolute precondition of meaningful class participation. Students who participate actively in class discussions can be awarded extra credit points. The students will complete a midterm test which is based strictly on the required readings assigned for sessions covered before the midterm and will consist of closed questions (e.g., multiple choice). The deadline and the time limit are specified in Moodle. The students are responsible for ensuring a stable internet connection during the midterm and for completing the test before the deadline. The test will not be reopened after the deadline has passed. The final exam has the form of a collective oral exam in the examination period. The students receive two questions checking the core topics of the course. Students then have a brief time to prepare their talking points. The two questions are then discussed in the student group, the notes are then shared with the lecturer who facilitates the discussion. The grade is awarded reflecting both the prepared notes and contribution to the discussion (both own points and the ability to respond knowledgeably to the contribution of others). Teaching methods The use of AI for completing tests and assignments is not allowed in any form. The students are expected to work with the required readings and other materials independently and be prepared to discuss them in class and during the final exam. Knowledge of the required readings is a precondition of successfully passing the course. AI will not be used in any form for teaching. Grade composition: Midterm test – 20% Seminars - 40% Final exam – 40% Last update: Kazharski Aliaksei, doc. Mgr., Ph.D. (22.09.2025)
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