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Course Syllabus

Postgraduate course 2020/2021

Qualification

Type: Compulsory course
Area of studies: Informatics and Computer Engineering
Delivered by: Intelligent Technologies in System Analysis and Management: Joint Department with Federal Research Center of Computer Science and Control of Russian Academy of Sciences
Where: Faculty of Computer Science
When: 1 year, 1 semester
Mode of studies: offline
Open to: students of one campus
Instructors: Sergei Obiedkov, Konstantin Yakovlev
Language: English
ECTS credits: 7
Contact hours: 40

Course Syllabus

Full SyllabusAsk Question

Abstract

In this course, we study recent PhD theses in Computer Science, predominantly those that have obtained some international recognition. The goal is to understand what results are currently considered worthy of a PhD degree, as well as how to structure one's thesis and how to present one's research results, both orally and in a written form.
Learning Objectives

Learning Objectives

  • acquire understanding of the standards for PhD theses in the field
  • learn how to present one's work in the more general context of one's field
Expected Learning Outcomes

Expected Learning Outcomes

  • is able to understand the results of other researchers presented in research papers or manuscripts
  • understands the current expectations from PhD-level research results in Computer Science
  • is able to present his or her research results in written and oral forms according to the current standards for such presentations
Course Contents

Course Contents

  • Reading and writing a PhD thesis in Computer Science
    Taking as examples some of the best recent PhD theses in Computer Science, we discuss the current standards for the PhD-level research results in the filed, as well as the way they should be presented within a thesis.
Assessment Elements

Assessment Elements

  • blocking Home assignment
  • blocking Activity in class
Interim Assessment

Interim Assessment

  • Interim assessment (1 semester)
    This is a pass/fail course. To pass, it is necessary to actively participate in seminars of one's group (as part of one's home assignment presentation) and at least one other group.
Bibliography

Bibliography

Recommended Core Bibliography

  • Finn, C. (2018). Learning to Learn with Gradients. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.446B409E
  • Multi-perspective process mining. (2018). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsnar&AN=edsnar.oai.pure.tue.nl.publications.b40869c0.2d11.4016.a92f.8e4ee9cd9d66
  • S. Keshav. (2012). How to Read a Paper. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.9BD51B06

Recommended Additional Bibliography

  • Adamsen, C. Q. (2018). Automatiserede Testingteknikker for Event-Drevne og Dynamisk Typede Softwareapplikationer ; Automated Testing Techniques for Event-Driven and Dynamically Typed Software Applications. Denmark, Europe: Aarhus Universitet. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.BC641D5C
  • Elsden, C. R. (2018). A quantified past : fieldwork and design for remembering a data-driven life. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.71FB2B71