Bachelor
2025/2026
Leadership and Team Management
Type:
Compulsory course (Digital Product Management)
When:
4 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
40
Course Syllabus
Abstract
The course acknowledges the presence of artificial intelligence as a competitor of a modern leader and therefore is aimed at creating a competitive advantage for students in the form of crucial knowledge and tools necessary for independently developing influence skills. The course has outcome-based student-oriented design and educational technology with criterion-referenced assessment. The course design aims at dealing with extensive students’ diversity in terms of both their initial backgrounds and future career tracks. In particular, highly interactive teaching methods and constructively aligned assessment criteria enable students to choose individual educational trajectories and guarantee accommodative jump to a certain established level of competencies
Learning Objectives
- The development of a competitive advantage among students in the context of the rapid advancement of artificial intelligence is achieved by providing them with the key knowledge and tools necessary to develop influence skills independently.
Expected Learning Outcomes
- Critically analyzes information drawn from scholarly sources indexed in major citation databases
- Communicates ideas effectively in academic and professional contexts through oral and written formats
- Explains and differentiates core concepts and theories of leadership and team management
- Identifies and corrects errors or distortions (“hallucinations”) in AI-generated responses when producing final deliverables
- Evaluates and delineates the scope and appropriate conditions for using AI in academic work
- Verifies the accuracy and reliability of AI-derived information by cross-checking it against original publications
- Distinguishes between the stages of team development
- Identifies the boundaries of applicability of different leadership styles
Assessment Elements
- Research PaperResearch paper is prepared Individually or in Groups (up to 3 students; at least 5 pages per student). The topic of the research paper is chosen by the student (should be approved by the tutor) or offered by the tutor. Times new roman 12-point font, not less than 5 pages (but 5 pages is fine). The format should be DOC or DOCx (text, not screenshots). Primary Evaluation Criteria # The material is specific (a narrow scientific problem is analyzed) and relevant. It should contain introduction part with 1 specific research question, literature review part, discussion part and conclusion part. The paper maintains academic balance: the problem is situated within existing scholarship, key theoretical perspectives are discussed, and the content aligns with the discipline 1 Citing is justified. All references are in place. No blind referencing. AI references are checked manually. AI and Ethics declarations are in place. “Gray literature” (blogs, Wikipedia, consultancy reports) is prohibited. 2 A separate Methodological Appendix (not part of main word count) must describe: (1) which AI tools were used. (2) for which specific tasks. (3) how outputs were verified, corrected, and integrated. (4) where AI “failed” or introduced errors. 3 The analysis in literature review part goes beyond description; the student demonstrates critical comparison, synthesis of ideas, and integration of theory and evidence. Sources must reflect theoretical pluralism: multiple perspectives. The paper contains at least: (1) 1 meta-analysis (recent, post-2015). (2) 1 systematic review. (3) 1 classical/highly cited work (≥1000 citations in Google Scholar) that reflects the fundamental theory for the proposed research question. Sources must reflect theoretical pluralism: multiple perspectives, not one-sided. 4 Discussion part contains contemporary debates. The argument must be balanced: competing perspectives are acknowledged and critically compared. The discussion must be situated within the discipline’s academic discourse (not generic). Conclusion part is well-grounded, analytical, and span at least one full page. 5 High quality of material. The paper contains no stylistic, spelling, or formatting errors. All references are given in accordance with APA guideline. Tables and figures are properly captioned. 6 The paper is delivered not later than deadline 7 Secondary Evaluation Criteria Grade All criteria are met + student is citing not less than 15 sources of SJR Q2-Q1 or Russian VAK K1-K2 10 All criteria are met + student is citing not less than 12 sources of SJR Q2-Q1 or Russian VAK K1-K2 9 All criteria are met + student is citing not less than 10 sources of SJR Q2-Q1 or Russian VAK K1-K2 8 All primary criteria are met 7 6/7 criteria are met 6 5/7 criteria are met 5 4/7 criteria are met 4 3/7 criteria are met 3 2/7 criteria are met 2 1/7 criteria are met 1 Originality less than 80% Material not submitted for evaluation / 0/7 criteria met / Incorrect format (not in DOC or DOCx OR submitted as screenshots instead of text) 0 The list below provides examples of indicators of improper or unethical use of AI; each instance will incur a one-point deduction from the research paper grade: (1) Using non-existent (“hallucinated”) sources. (2) Including false or distorted information from AI without verifying it against original publications. (3) Failing to disclose AI usage where it has been applied. (4) Improperly formatting citations for sources suggested by AI, in violation of assignment requirements.
- Activity at Lectures and SeminarsThe assessment component “Activity at Lectures and Seminars” requires mandatory physical attendance at lectures and seminars. The grade for this assessment component is awarded exclusively to students who are present at the class and takes into account both the fact of attendance and the level of the student’s activity during the class session. Each time a student is present at a class and actively participates in the discussion (via the course chat) during the class session, the student receives a grade on the HSE scale (0–10). If a student is absent or does not actively participate in the discussion (in the course chat), they receive a grade of “0”. The final Activity at Lectures and Seminars grade is equal to the total score divided by the total number of classes (each class equals 2 academic hours). Relevant comments are only counted if they were made during class.
- ExamDuration: 45 minutes. The exam is taken written. The exam is conducted on the StartExam platform. The Exam consists of 2 Parts (0,4 and 0,6 of the Grade for the Exam). The Questions of the first Part are formed on the basis of lecture material, the questions for the second Part and are formed on the basis of articles, assigned for the reading and analysis to the students during the Course. Answers to questions are counted as correct only in case of full compliance (all correct answers are marked as correct, none of the wrong answers are marked) Initially, a student must surpass the respective minimum threshold. The minimum threshold for obtaining “4” or higher (a satisfactory grade) is 40%, “6” or higher - 60%, “8” or higher grade - 80% etc. Once the respective threshold is surpassed, grades are distributed according to the following scale: 10 - 10%, 9-10%, 8-10%, 7-17.5%, 6-17.5%, 5-17.5%, 4-17.5%. The first and second (commission) resit procedures are similar to the exam procedure: the Cumulative Grade is taken into account (i.e. the formula remains the same). If something goes wrong, it is important to document the issue by taking a screenshot of the screen. Please report the problem to IT support at sd.gsb@hse.ru (attach the screenshot to your email). The exam is conducted in an "open-book" format: you are allowed to use your notes and scholarly articles. After the exam: Reviewing of exam works is not provided. Appeals are only possible regarding the exam procedure. Proctoring (as mandated by the letter from the Deputy Director of the HSE A.O. Gabrielov dated August 16, 2024): Automated proctoring (the system monitors student actions) will be conducted to identify the examinee and prevent dishonest behavior (such as speaking the questions aloud, using mobile phones and other gadgets, interference by outsiders, etc.). If the system flags comments for decision-making (such as speaking aloud, using a mobile phone, interference by outsiders etc), professor responsible for lectures / professor responsible for seminars have the right to assign a grade of “0”. Brief notes on proctoring: (1) Please check your camera, microphone, and internet connection in advance. (2) Please follow the software’s instructions (show the room, passport, etc.) (3) Please work alone, remain in the camera's view, and focus on the screen and keyboard (do not look at the floor, away from the computer, etc.) (4) Please do not use phones or other gadgets (you can open your notes and academic articles directly on the computer) (5) Please maintain silence, and do not speak the questions aloud. (6) Do not wear hats, dark glasses, or other head coverings. Do not share the exam link with anyone outside the course. During the exam it is prohibited to: (1) Use any social networks. (2) Use any messaging applications. (3) Use any collaborative tools (including Miro, Figma, or Google Workspace). (4) Talk to one another. (5) Read the exam questions aloud. Students who violate these rules will receive unsatisfactory grade (0).
- Attendance at Lectures and SeminarsThe instructor records student attendance at an unspecified point during the lecture or seminar session. Each time a student is present they receive 10. If a student is absent, they receive a grade of “0”. The final Attendance at Lectures and Seminars grade is equal to the total score divided by the total number of classes (each class equals 2 academic hours).
Interim Assessment
- 2025/2026 3rd module0.19 * Activity at Lectures and Seminars + 0.1 * Attendance at Lectures and Seminars + 0.65 * Exam + 0.06 * Research Paper
Bibliography
Recommended Core Bibliography
- 37626 - Думай медленно... решай быстро (краткое изложение) - Д. Канеман - Альпина.Академия - 2024 - https://hse.alpinadigital.ru/audio/37626 - Alpina
- Управление проектами: фундаментальный курс [Текст] : учебник / Нац. исслед. ун-т «Высшая школа экономики». — 3-е изд., пересмотр. и доп. - 978-5-7598-4002-2 - Алешин А. В., Аньшин В. М., Багратиони К. А. и др. - 2024 - Москва: ВШЭ - https://ibooks.ru/bookshelf/396141 - 396141 - iBOOKS
Recommended Additional Bibliography
- 23674 - Эффект Люцифера. Почему хорошие люди превращаются в злодеев - С. Барковский; Ф.Зимбардо - Альпина нон-фикшн - 9785001396864 - 2022 - https://hse.alpinadigital.ru/audio/23674 - Alpina