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Course Syllabus

Master 2023/2024

Mentor's Seminar "Developing an Individual Educational Trajectory"

Type: Compulsory course (Business Analytics and Big Data Systems)
Area of studies: Business Informatics
Delivered by: Department of Business Informatics
Where: Graduate School of Business
When: 2 year, 1-3 module
Mode of studies: offline
Open to: students of one campus
Instructors: Armen Beklaryan
Master’s programme: Business Analytics and Big Data Systems
Language: English
ECTS credits: 3
Contact hours: 24

Course Syllabus

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Abstract

The Mentor seminar is the core of the degree program (DP), as it helps students build an individual learning trajectory in accordance with the available courses of the curriculum and the professional expectations of students. Under the guidance of the academic supervisor of the DP, students will have to create a personalized set of disciplines to study, including core courses of the curriculum, elective courses, additional inter-campus courses and courses from the all-university pool of courses MagoLego. The seminar is also intended to guide students on the implementation of practical training elements (PTEs) that are integral parts of the curriculum, including the choice of topics for projects and term papers, topics and places of internship and topics for final qualifying work (FQW) - Master's Thesis. Within the framework of this seminar, students will develop skills in working with information sources, both digital and paper, writing scientific and research papers in order to maximize the effectiveness of students' independent work throughout the entire period of study under the Degree Program.
Learning Objectives

Learning Objectives

  • The seminar is aimed at developing students' skills in managing their own learning process, in the evolution of successes and difficulties, in setting and achieving goals within the framework of learning and practice on the Degree Program.
Expected Learning Outcomes

Expected Learning Outcomes

  • Conducts exploratory research, analysis and evaluation of digital innovations
  • Analyzes his own progress along an individual educational trajectory
  • Correlates his educational plans and the landscape of expertise in the field of business analytics and big data systems
  • Forms tasks for the research of new markets, monitors the progress of research and accepts their results
  • Conducts search and analysis of the most relevant academic and applied research in the field of business analytics and big data systems
  • Justifies his choice of individual elements of the curriculum
  • Correlates its educational plans with the structural elements of the educational program
Course Contents

Course Contents

  • Key research areas in the field of business analytics and big data systems
  • Setting research tasks
  • Defense of project proposals
  • Monitoring of the development of the educational process by students
Assessment Elements

Assessment Elements

  • non-blocking State-of-the-art 1
    Preparation of state of the art in the chosen subject area
  • non-blocking Practice defense
  • non-blocking State-of-the-art 2
    Preparation of state of the art in the chosen subject area
  • non-blocking Project defense 1
  • non-blocking Exam 1
  • non-blocking Individual trajectory
  • non-blocking Exam 2
  • non-blocking Project defense 2
Interim Assessment

Interim Assessment

  • 2022/2023 4th module
    0.3 * Exam 1 + 0.2 * Individual trajectory + 0.2 * Project defense 1 + 0.3 * State-of-the-art 1
  • 2023/2024 2nd module
    0.4 * Project defense 2 + 0.6 * State-of-the-art 2
  • 2023/2024 3rd module
    0.6 * Exam 2 + 0.4 * Practice defense
Bibliography

Bibliography

Recommended Core Bibliography

  • Gournelos, T., Hammonds, J. R., & Wilson, M. A. (2019). Doing Academic Research: A Practical Guide to Research Methods and Analysis.

Recommended Additional Bibliography

  • Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions.
  • Saunders, M. N. ., & Lewis, P. (2017). Doing Research in Business and Management (Vol. 2nd). Harlow, United Kingdom: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1594065
  • Saunders, M., & Lewis, P. (2012). Doing Research in Business and Management : An Essential Guide to Planning Your Project. Harlow: Financial Times/ Prentice Hall. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1418659
  • Sharan B. Merriam, & Robin S. Grenier. (2019). Qualitative Research in Practice : Examples for Discussion and Analysis: Vol. Second edition. Jossey-Bass.
  • Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, & B. K. Tripathy. (2020). Deep Learning : Research and Applications. De Gruyter.
  • Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. https://doi.org/10.1016/j.jbusres.2019.07.039
  • Ted Gournelos, Joshua R. Hammonds, & Maridath A. Wilson. (2019). Doing Academic Research : A Practical Guide to Research Methods and Analysis. Routledge.
  • Walle, A. H. (2015). Qualitative Research in Business : A Practical Overview. Newcastle upon Tyne, United Kingdom: Cambridge Scholars Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1014736

Authors

  • Beklarian Armen Levonovich