Enterprise Software Systems Development

Master 2024/2025

Type: Elective course (Business Analytics and Big Data Systems)

Area of studies: Business Informatics

Delivered by: Department of Business Informatics

Where: Graduate School of Business

When: 1 year, 2, 3 module

Mode of studies: offline

Open to: students of one campus

Instructors: Sergey Viktorovich Zykov

Master’s programme: Business Analytics and Big Data Systems

Language: English

ECTS credits: 6

Full Syllabus

Abstract

This discipline gives an overview of the current trends in software development, particularly in large-scale and enterprise digital products design, and their implementation. It embraces models, methodologies, and technologies used for software system development, and their application principles for interactive, team-based software system development.

Learning Objectives

Skills in high-level modeling and design of corporate information systems.
Skills in representing the structure and behavior of corporate information systems systems based on the current development methods such as Agile and DevOps.
Application of methods for designing corporate information systems, including approaches based on new generation languages, AI applications and virtual machines
Knowledge and ability to practically apply methods of modeling and designing corporate scale applications.
Ability to make conclusions about the quality attributes of corporate scale software applications developed on the basis of state-of-the-art models and technologies.

Expected Learning Outcomes

Be able to estimate utility of the given combinations of lifecycle models, development methodologies, architectures, considering the specific conditions (problem domain, project scope etc.)
Be able to estimate utility of the given combinations of lifecycle models, development methodologies, considering the specific conditions (problem domain, project scope etc.)
Be able to make reasonable choice of complex solutions (incl. lifecycle models, development methodologies), valid for large-scale software solutions development
Be able to make reasonable choice of complex solutions (incl. lifecycle models, development methodologies, architectures), valid for large-scale software solutions development;
Know major lifecycle models (waterfall, spiral, incremental, OO etc.) and methodologies (MSF, RUP, XP, Agile) used for software development
Know the basic principles of organization and operation of enterprise-scale applications

Course Contents

Introduction to corporate system modeling and design
Fundamentals of systems architecting
Basics of corporate data modeling and design
Corporate system lifecycles, their modeling and management
Corporate system development methodologies
System Architectures Revisited
Documenting corporate systems

Assessment Elements

Written exam: case solution
Students prepare a case study on the blockchain applications. For a chosen company, they present a paper with the case solution and oral presentation (5-7 min). Criteria for presentation: key points are covered; the presentation is complete and comprehensive.
Group Project
The students have to work on topic of blockchain (self initialed or provided) and provide report
Midterm computer test
5 assignments on the Parts 2-6. Each one is graded up to 10 points. The average score is included in the final grade for the course
In-lecture assignments
Each lecture material includes an assignment (that can be split into parts), that measures students' engagement. Forms: quiz, open questions, modeling in Miro

Interim Assessment

2024/2025 3rd module
0.29 * Group Project + 0.29 * In-lecture assignments + 0.13 * Midterm computer test + 0.29 * Written exam: case solution

Bibliography

Recommended Core Bibliography

Agile enterprise engineering: smart application of human factors : models, methods, practices, case studies, Zykov, S. V., 2020
Crisis management for software development and knowledge transfer, Zykov, S. V., 2016
Managing software crisis: a smart way to enterprise agility, Zykov, S. V., 2018
Sommerville, I. (2016). Software Engineering, Global Edition (Vol. Tenth edition, Global edition). Boston: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1419684
Zykov S.V. Crisis Management for Software Development and Knowledge Transfer. Springer, 2016
Zykov, S. V. (2018). Managing Software Crisis: A Smart Way to Enterprise Agility. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1796196
Zykov, S. V., Gromoff, A., & Kazantsev, N. S. (2018). Software Engineering for Enterprise System Agility : Emerging Research and Opportunities. Hershey PA: Business Science Reference. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1825496

Recommended Additional Bibliography

9783319429663 - Zykov, Sergey V. - Crisis Management for Software Development and Knowledge Transfer - 2016 - Springer International Publishing - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1261466 - nlebk - 1261466
Zykov, S. V. (2016). Crisis Management for Software Development and Knowledge Transfer. Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1261466

Authors

ZYKOV SERGEY VIKTOROVICH

Course Syllabus