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IT Management (4+1)

IT Management (4 + 1)

1. General Information

Postgraduate studies in Management in Information Technology aim to provide quality and top European education and training of highly educated staff with in-depth knowledge of methods and techniques for managing ICT projects and systems. Upon completion of their studies, these staff will be able to take responsible positions in the processes of planning, design, management and monitoring of ICT projects and systems, including their business aspects.

The program in Management Studies in Information Technology is compatible with the relevant studies offered at most of the world's universities that support this topic and enable student mobility.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of computer science and engineering - FCSE
Study Program Name: IT Management
Scientific-research area: 2 technical-technological
Field
The value of postgraduate studies is 60 ECTS credits .
Duration of studies: 2 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
Admission Requirements : Students in Information Technology Management can enroll in graduate students who have 240 or 180 undergraduate credits.
Introductory layer : Students who have earned less than 240 credits during their studies are offered a variety of introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
First semester: 2 compulsory courses, 2 elective courses in the field.
Second semester: 1 compulsory subject in the field, 1 elective subject in the field and 1 elective subject from the list of UKIM and final project - master's thesis (18 ECTS)
1 ECTS credit corresponds to 30 hours of total work engagement
The number of contact hours is 4

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following general abilities and qualifications:

Ability to work in interdisciplinary teams
Power of analysis and synthesis
Power to apply knowledge in practice
Power to generate new ideas (creativity)
Power of learning
Ability to critique and self-critique
Ability to make decisions
Knowledge of English
Research skills

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following specific abilities and qualifications:

Knowledge and Understanding	Provides in-depth knowledge and understanding of the theoretical foundations of software and innovation project management, information systems and risk management and other disciplines. Acquiring the necessary knowledge in the field of management with ICT systems and projects. Develop advanced skills in planning, designing, designing, managing, testing, and implementing ICT systems and projects. Demonstrates a high level of professional competence in the analysis of empirical data in the fields of business, industry, economics and government. Work with applied projects to manage projects, resources, money and people. Governs the latest industry standards and best practices, as well as opportunities for improvement and future development in the area.
Applying knowledge and Understanding	Can apply knowledge and understanding for professional development in a narrower area of Information Technology Management. Demonstrates skills and knowledge necessary for the individual to be competent in managing IT systems and projects at a high level. The competencies qualify him with a solid management and technical basis with the possibility to include a selected range of broader aspects of Management in Information Technology and the like that will suitthe needs of the professional in this field with constant and rapid development. In-depth management knowledge required for efficient work of ICT manager, independent specialist or member of specialized team.
Ability to evaluate	Demonstrates a commitment to self-improvement and continuous professional development Demonstrates in-depth knowledge of advanced analysis and design techniques in the fields of Information Technology Management. Demonstrates knowledge of best practices for improving productivity and mutual understanding in business organizations taking into account personal, social, scientific and ethical aspects. Demonstrates the ability to make managerial decisions independently and link business practice with application solutions.
Communication Skills	Demonstrates the ability to communicate with colleagues and work in a team through a high level of awareness of the importance and power of communications. Illustrates effective exchange of information, ideas and reasoned arguments. Demonstrates high ability to work and lead multidisciplinary teams Demonstrates ability to plan and manage time at managerial level and professional socialization and conflict resolution. Recognizes complex organizational structures and the need to restructure them, understands their impact on effectiveness and efficiency in combination with modern technologies.
Learning Skills	Demonstrates an understanding of the basics of research methodology, with the ability to evaluate, design and conduct research in the field, formulate, plan a research project and communicate in depth on a topic. Demonstrates the ability to reasonably evaluate and generate ideas with creative and critical thinking, mastering new theories, models, techniques and technologies, while appreciating the need for continuous professional development. Able to select and understand procedures and methods for structuring, consolidating, and handling information and data in an environment. Has high self-confidence and independence, proactivity and self-awareness to perform and delegate tasks and manage further career.

Acquired title: Master of Information Science and Computer Engineering in the field of Information Technology Management.

2. Studies

Table 1: Schedule of the courses in semesters and academic study years (AC)

List Number	Course code	Course title	Semester	Weekly fund of classes		ECTS
List Number	Course code	Course title	Semester	L	E	ECTS
FIRST YEAR
1.	IT-I-03	ICT Management	9	4	0	6
2.	ITMWE02	Advanced ICT Innovation and Entrepreneurship	9	2	1	6
3.	ITMWE01	Advanced Software Project Management	9	4	0	6
4.		Elective course	9			6
5.		Elective course	9			6
6.	ITMSE01	Advanced Software Requirements Engineering	10	2	0	6
7.		Elective course	10			6
8.		Master's Thesis	10			18
Total hours (lectures / exercises) and number of ECTS credits in the academic year						60

2.1 Electives

Configure

The student can choose a subject from the list of offered elective subjects from all study programs of the second cycle of studies. The list of offered elective courses can be found at this link .

Number	Code	Name of the object	Semester	Weekly fund of classes		ECTS	Unit
Number	Code	Name of the object	Semester	L	E	ECTS	Unit
1	ITMWE07	Management of Databases	9	2	2	6	FINKI
2	ITMWE06	Information security management	9	2	1	6	FINKI
3	SI-Z-01	Software Lifecycle Management	9	4	0	6	FINKI
4	BK-I-12	Change and risk management	9	4	0	6	FINKI
5	ITMWE10	Managing the Software Testing Process	9	2	1	6	FINKI
6	CC-I-02	Big Data and Distributed Data Analytics	9	2	2	6	FINKI
7	ITMWE03	Advanced Management Information Systems	9	2	2	6	FINKI
8	ITMWE08	e-Government advanced topics	9	3	1	6	FINKI
9	ITMWE04	Business Design Thinking	9	4	0	6	FINKI
10	ITMWE11	Digital Transformation	9	2	2	6	FINKI
11	IT-I-04	E-business	9	4	0	6	FINKI
12	IT-I-10	Internet Infrastructure management	9	4	0	6	FINKI
13	EI-I-01	Requirements Analysis in Ecosystem informatics	9	3	0	6	FINKI
14	IS-I-07	Systems for data-based business decision	9	4	0	6	FINKI
15	KN-I-10	Business process mining	9	4	0	6	FINKI
16	SDP-Z-4	Wrangling and exploratory data analysis	9	4	0	6	FINKI
17	IS-I-06	Information Systems Analysis and Design	9	4	0	6	FINKI
18	IT-I-18	Data Science	9	4	0	6	FINKI
19	SNP-Z-1	Data Analysis Using Statistical Packages	9	4	2	6	FINKI
20	CC-I-04	Business modelling	9	4	0	6	FINKI
21	IS-I-01	Collective Intelligence	9	4	0	6	FINKI
22	ITMWE09	Human resource management	9	2	0	6	FINKI
23	SI-I-05	Model based software Engineering	9	4	0	6	FINKI
24	SI-I-07	Engineering ethics	10	4	0	6	FINKI
25	SI-I-08	Engineering ERP business Systems	10	4	0	6	FINKI
26	ITMSE02	IT Service Management	10	2	0	6	FINKI
27	CC-I-07	Small business management	10	3	0	6	FINKI
28	CI-I-11	Decision support systems	10	4	0	6	FINKI
29	SI-I-13	Software Architectures	10	4	0	6	FINKI
30	ITMSE05	Strategic management in IT	10	2	0	6	FINKI
31	EDU-I-10	Student Involvement in Humanitarian, Free and Open-Source Software Development	10	2	2	6	FINKI
32	ITMSE06	Management of Electronic Educational Systems	10	2	1	6	FINKI
33	IT-I-08	Digital Marketing	10	4	0	6	FINKI
34	EDU-Z-04	Gaming in education	10	2	2	6	FINKI
35	EDU-I-04	Recommender Systems, Virtual Guidance and Self- Help in Knowledge Mastery	10	2	2	6	FINKI
36	ITMSE07	Data Science Project Management	10	2	1	6	FINKI
37	SDP-I-4	Business analytics	10	2	2	6	FINKI
38	SI-I-09	Software Reliability	10	4	0	6	FINKI
Total:

Табови

Summary

ljupcho.kocarev@finki.ukim.mk

Summary

Роден е 1955 година во Скопје. Дипломирал на Електротехничкиот факултет во Скопје во 1980 година, а магистрирал на Електротехничкиот факултет во Белград во 1988 година. Докторирал на универзитетот “Св. Кирил и Методиј” во Скопје во 1989 година. На Електротехничкиот факултет во Скопје бил вработен во период од 1986 година до 1998 година во звањата: асистент (1986), доцент (1990) и вонреден професор (1995). На Институтот за компјутерска техника и информатика при Електротехничкиот факултет (кој во меѓувреме го промени називот во Факултет за електротехника и информациски технологии) е повторно вработен од 2007 година во звањето редовен професор. Во периодот 01.01.1992 – 01.06.1993 престојувал на Универзитетот на Калифорнија, Беркли. Од 1998 година е вработен на Универзитетот на Калифонија Сан Диего, прво во звањето вонреден истражувач, а од 2000 година во научното звање истражувач (еквивалентно на редовен професор). Редовен член на МАНУ е од 2007 година. Автор е на повеќе од 100 научни статии публикувани во повеќе од 20 различни списанија, од кои 22 статии се публикувани во IEEE списанија. Неговите трудови, според Science Citation Index, до 2009 година се цитирани повеќе од 4000 пати. Бил едитор на 3 книги, едитор во списанието IEEE Transactions on Circuits and Systems (во периодите 2002 – 2004 и 2006 – 2008), а од 2007 година е едитор во списанието Journal of the Franklin Institute. Автор е на 6 патенти одобрени во EU и USA. Бил раководител на повеќе проекти, а во 2009 година е раководител (ко-раководител) на 4 проекти финансирани од Р Македонија (фондот на МАНУ), Европска унија (FP6), САД (National Science Foundation) и Кина (Honk Kong Research Grant Council). Избран е за fellow на IEEE во 2006 година. Области на научен интерес му се: нелинеарни електрични кола и системи, динамички системи, компјутерски мрежи, комплексни мрежи, кодирање, криптографија, биоинформатика и пресметувачка биологија.

Associations

Линк до асоцијацијата (здружението)	Име на асоцијацијата (здружението)
www.manu.edu.mk	Macedonian Academy of Sciences and Arts
http://ieee.org	IEEE

Books

Наслов на книгата	Издавач
Chaos and cryptography: from theory to practical algorithms	Springer
Complex Dynamics in Communication Networks	Springer
Proceeding of Sixth Experimental Chaos Conference	Springer

Publications

Име на трудот	Место	Држава
Vulnerability of complex networks	Communications in Nonlinear Science and Numerical Simulation
Exploring the possibilities to control the molecular switching properties and dynamics: A field-switchable rotor-stator molecular system	THE JOURNAL OF CHEMICAL PHYSICS
Pseudo-Chaotic Lossy Compressors for True Random Number Generation	Pseudo-Chaotic Lossy Compressors for True Random Number Generation
Measuring Vulnerability of Complex Networks by Simulating DDoS Attacks	TELFOR 2010	Serbija
Organizations analysis with complex network theory	ICT Innovations 2010-Springer (Book),	Macedonia
Rich-club and page-club coefficients for directed graphs	Physica A
Application of modal analysis in assessing attack vulnerability of complex networks	Communications in Nonlinear Science and Numerical Simulation
Model for rumor spreading over networks	PHYSICAL REVIEW E
Vulnerability of labeled networks	Physica A: Statistical Mechanics and its Applications
Network science: A new paradigm shift	IEEE Network
Assessing the performance of assembly tools on simulated Roche/454 sequencing data and their sensitivity to GC content	Proceedings of ICT Innovations
Building synchronizable and robust networks	Proceedings of 2010 IEEE International Symposium on Circuits and Systems
An opinion disseminating model for market penetration in social networks	Proceedings of 2010 IEEE International Symposium on Circuits and Systems
Computation methods for gene finding in prokaryotes	Proceedings of ICT Innovations
Innovation Spreading on Graphs	Proceedings of ICT Innovations
Selective Attack in virus propagation processes	Proceedings of ICT Innovations
An agglomerative clustering technique based on a global similarity metric	Proceedings of ICT Innovations
Vulnerability Assessment of Complex Networks based on Optimal Flow Measurements under Intentional Node and Edge Attacks	ICT Innovations 2009-Springer (Book)	Macedonia
Heterogeneous Epidemiologic Influence Spreading Models In Complex Networks	ETAI 2009 Conference	Macedonia
Non-Poisson processes of Email Virus Propagation	Proceeding of ICT Innovations 2009
Random walks on networks: Cumulative distribution of cover time	Phys. Rev. E
Identification of biological neurons using adaptive observers	Cognitive processing
Periodic Dynamics in State Dependent Queuing Networks	Chaos, Solitons, and Fractals
Edon-R: An Infinite Family of Cryptographic Hash Functions	International Journal of Network Security
Influence Spreading in Complex Networks	Telfor2008
Synchronization in Networks of Hindmarsh–Rose Neurons	IEEE Trans. on Circuits and Systems
Discrete Lyapunov Exponent and Resistance to Differential Cryptanalysis	IEEE Trans. on Circuits and Systems
Synchronization in complex network topologies	Chaos, Fractals, and Solitons
Order patterns	Physics Letters A
Discrete Chaos: part I	IEEE Transactions on Circuits and Systems
Chaotic Block Ciphers: from theory to practical algorithms	IEEE Transactions on Circuits and Systems
Nonlinear Dynamics of Iterative Decoding Systems: Analysis and Applications	IEEE Transactions on Information Theory
Traffic dynamics in scale-free networks	ComPlexUs
Distribution of edge load in scale-free trees	Physical Review E
Unbiased Random Sequences from Quasigroup String Transformations	Lecture Notes in Computer Science
Statistical properties of chaos in communication networks	Complex Dynamics in Communication Networks
Security of Public Key Cryptosystems based on Chebyshev Polynomials,	IEEE Transactions on Circuits and Systems
Cryptographically secure substitutions based on the approximation of mixing maps	IEEE Transactions on Circuits and Systems
The permutation entropy rate equals the Kolmogorov-Sinai entropy rate for mixing dynamical systems	Physical Review E
Nonlinear Phenomena in Turbo Decoding Algorithms”, in “Digital Communication Devices based on Nonlinear Dynamics and Chaos	Springer Series: Institute for Nonlinear Science
Finite-space Lyapunov exponents and pseudo-chaos	Phys Rev Letters
Chaos and control of transient chaos in turbo-decoding algorithms	International Journal of Bifurcation and Chaos
Public-key Encryption with Chaos	CHAOS
Design of Flexible-Length S-Random Interleaver for Turbo Codes	IEEE Communications Letters
Bifurcations and Chaos in Turbo Decoding Algorithms	Lecture Notes in Control and Information Sciences
Chaos and Pseudo-Randomness	Lecture Notes in Control and Information Sciences
Unpredictable Pseudo-Random Bits Generated by Chaotic Maps	IEEE Trans. on Circuits and Systems
Differential and Linear Probabilities of a Block Encryption Cipher	IEEE Trans. on Circuits and Systems
Cryptanalysis of SBLH	Lecture Notes in Computer Science
Improving turbo codes by control of transient chaos in turbo-decoding algorithms	Electronics Letters
When are synchronization errors small?	Physical Review - E,
Performance Evaluation of CPPM Modulation in Multi-path Environments	Chaos, Fractals and Solitons
Lyapunov Exponents, Noise-induced Synchronization and Parrondo`s Paradox	Physical Review - E,
Analysis of Some Recently Proposed Chaos-Based Encryption Algorithms	Phys. Letters A
Chaos-Based Cryptography: a Brief Overview	IEEE Trans. on Circuits and Systems
Periodic Trajectories in Piecewise-Linear Maps	IEEE Trans. on Circuits and Systems
Chaos Based Random Number Generators PART II: Practical Realization	IEEE Trans. on Circuits and Systems
Chaos Based Random Number Generators PART I: Analysis	IEEE Trans. on Circuits and Systems
Chaos and Cryptography: Block Encryption Ciphers Based on Chaotic Maps	IEEE Trans. on Circuits and Systems
Digital coding via chaotic systems	IEEE Trans. on Circuits and Systems
Applications of symbolic dynamics in chaos synchronization	IEEE Trans. on Circuits and Systems
Complex behavior in digital filters with overflow nonlinearity: analytical results	IEEE Trans. on Circuits and Systems
Linear conjugacy of vector fields in Lur`e form	IEEE Trans. on Circuits and Systems
On Turing instability in two diffusely coupled systems	IEEE Trans. on Circuits and Systems
On chaos in digital filters: Case b = -1	IEEE Trans. on Circuits and Systems
Vulnerability of networks of interacting Markov chains	Philosophical Transactions A of the Royal Society
Topology Impact on Influence Spreading	International Joint Conferences on Computer, Information, and System Sciences, and Engineering	USA
Game Theoretic Approach for Discovering Vulnerable Links in Complex Networks	Novel Algorithms and Techniques in Telecommunications and Networking, Book chapter, Springer
Using Game Theory to Analyze Distributed Computing Systems	XVI Telekomunikacioni forum TELFOR	Serbija
A Game Theoretic Approach for User Participation in Grid Projects	International Symposium on Nonlinear Theory and its Applications	Hungary

Specializations

Престој	Држава	Цел
Visit to Politecnico di Torino	Italy	Scientist Visit
Visit to University of Budapest	Hungary	Scientist Visit
Visit to University of Budapest	Hungary	Scientist Visit
June 1999 – February 2000, University of California San Diego, USA	USA	Scientist Visit
August 1998 – June 1999, College of William and Mary, USA	USA	Scientist Visit
February 1997, University of Goettingen, Germany	Germany	Scientist Visit
August 1996, University of California Berkeley, USA	USA	Scientist Visit
July 1995, University of Goettingen, Germany	Germany	Scientist Visit
August 1994, University of Darmshtad, Germany	Germany	Scientist Visit
April 1992 – May 1993, University of California Berkeley, USA	USA	Scientist Visit

Projects

Име на проектот	Финансирано од
Анотирани Графови во Системска Биологија	МОН на РМ
Supermodeling by combining imperfect models	Open, EC
Optimization and Performance Enhancement of Complex Networks using Sensors	ONR Global, USA
An Interactive Multi-Model for Consensus on Climate Change	Department of Energy, USA
Collaborative Research: Consensus on Climate Predication by Adaptive Synchronization of Models	NSF, USA
Дијагностицирање на ранливоста, неочекуваните феномени и непостојаноста во комплексните мрежи	МАНУ
Diagnosing vulnerability, emergent phenomena, and volatility in man-made networks	STREP EU
Enhanced chaos-based iterative coding techniques for digital media applications	DiMI
Chaos Synchronization and Analysis of Experimental and Clinical Data	NATO
Synchronization and Analysis of Experimental Data	NFS
CMG Collaborative Research: Data Assimilation by Synchronization of Truth and Model
Networks on Chip (STMicroelectronics and University of California)

Bioinformatics (4+1)

1. General Information

Postgraduate studies in Bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analyzing, indexing, searching and using data from biological databases, as well as modeling events and processes that occur at the level cell, organ or organism, including the latest developments in the fields of databases, molecular biology, genetics, machine learning and data science.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Name of the study program: Second cycle academic studies in Bioinformatics
Scientific-research area: technical-technological / natural mathematical
Field: Computer Science and Informatics / Informatics
Areas: Artificial Intelligence, Intelligent Systems, Programming Languages and Systems, Databases, Numerical Analysis, Algorithms, Simulation, Information Processing, Data Processing, Other .
The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
Duration of studies: 2 or 4 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
In the first and the second semester, subjects are performed, while in the second semester, the final project is additionally prepared, ie. master thesis.
Admission Requirements : Completed undergraduate studies in Computer or Biological-Medical Sciences with a minimum of 240 or 180 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
First semester : 2 compulsory courses and 2 electives, one of which may be from the University list.
Second semester : 1 compulsory and 1 elective, one of which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and the final project - master's thesis of 18 ECTS
1 ECTS credit corresponds to 30 hours of total work engagement
The number of contact hours is 4
The academic title or degree obtained upon completion of studies is:

- Master in Information Science and Computer Engineering in Bioinformatics

2. Studies

Table 3: Course structure in IX and X semesters

РБ	Course	Semester	M / E	Credits
1	Introduction to Molecular Biology	IX	M	6
2	Basics of Bioinformatics	IX	M	6
3	Selected from Table 4	IX	E	6
4	Selected from Table 4	IX	E	6
5	Selected from Table 4	IX	E	6
6	Advanced Mathematical and Statistical Techniques	X	M	6
7	Selected from Table 4	X	E	6
8	Master Thesis	X	M	18

Table 4 shows the elective courses from the Bioinformatics study program. In addition to these courses, the student can choose from all elective courses defined for all study programs of the second cycle that are serviced by the faculty. One elective course can be chosen from the university list of free elective courses. Table 4: Electives

Table 4: Electives

РБ	Course	Semester	Credits	Fund hours
1	Structural Bioinformatics and Proteomics	IX	6	4 + 0 + 0 + 0
2	Scientific computing in bioinformatics	IX	6	4 + 0 + 0 + 0
3	Wavelets in Numerical Simulations	IX	6	4 + 0 + 0 + 0
4	Information processing in biological systems	IX	6	4 + 0 + 0 + 0
5	Introduction to Computational Neuroscience	IX	6	4 + 0 + 0 + 0
6	Introduction to genetic Engineering	X	6	4 + 0 + 0 + 0
7	Mathematical Biology	X	6	4 + 0 + 0 + 0
8	Biological Sequence Analysis	X	6	4 + 0 + 0 + 0

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this link .

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Ilinka Ivanoska M.Sc.

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Eftim Zdravevski Ph.D.

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Kosta Mitreski Ph.D.

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IT Management (4+1)

IT Management (4 + 1)

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Lupcho Kocarev Academician Ph.D.

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Академик д-р Љупчо Коцарев

Bioinformatics (4+1)

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IT Management (4 + 1)

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