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Bachelor of Information Systems in Business

The Bachelor of Information Systems in Business Program at KIMEP University is dedicated to train professionals who can successfully develop and manage information systems of organizations both in Kazakhstan and internationally. The program provides fundamental knowledge in the field of both information systems and business that will allow making stellar career in the area of IS in business organizations and consulting firms.

Information Systems in Business
Since the main purpose of any business organization is profit maximization, organization’s information systems must be developed in such a way that will assist an organization in achieving this goal. However, it is impossible to purchase one single system that can completely satisfy organization’s needs in information because of a vast variety of information types that underlie any organization. Business organization, especially large one, consists of several functional areas, such as human resources, accounting, finance, manufacturing, logistics, sales and marketing. It may also have several managerial levels: top managers, middle-level managers, and first-hand (lower-level) managers. Employees working in each of these functional areas and at different levels deal with different information and thus may have different needs in information systems. The role of IS specialists is to assist various other employees in fulfilling their duties. IS specialists help business organizations in successful integration of new knowledge in business and effective management of document streams.

Duration
The Bachelor of Information Systems in Business program runs on a semester basis. It is advised to enter the program in Fall semester. However, the admission in Spring semester is also possible. The duration of the program is 4 years. If a student takes courses in summer, the program can be completed earlier.

What will you study in the Bachelor of Information Systems in Business program?
The Bachelor of Information Systems in Business program offers a comprehensive curriculum consisting of bachelor-level courses in all facets of information systems for business organizations. Students can tailor the program to fit specific career goals by selecting elective courses of their interest. The program covers the fundamentals of information systems (such as management information systems), as well as advanced courses in the area such as, for instance, enterprise resource planning systems and programming.

Characteristics of the program
The Bachelor of Information Systems in Business program has an innovative and progressive curriculum that matches leading undergraduate IS in business programs around the world. The unique characteristics of the program include:
– Comprehensive curriculum consisting of undergraduate-level courses in all facets of information systems in business
– Opportunity to customize the program be selecting elective courses to fit specific career goals
– Global connections, international faculty and student body
– Industry exposure and practical experience through supervised company internship
– Development of research and analytical skills in a Research Methods with SPSS course
– Opportunity to receive financial aid and scholarships

 

To earn the Bachelor of Information Systems degree, students must complete 146 KIMEP or 240 ESTS credits. The following table illustrates the structure of the Program.

Category of Courses

ECTS Credits

KIMEP Credits

General Education

56

36

Program Foundation

112

68

Program Specialization

60

36

Final Attestation

12

6

TOTAL

240

146

General Education Courses (56 ECTS/36 KIMEP Credits)

The General Education component consist of two parts:

(1) General Education Required courses (33 KIMEP /51 ECTS credits),

(2) General Education Elective Courses (3 KIMEP/5 ECTS credits).

The following table illustrates the requirements of the General Education component of the program.

Code

General Education Courses

ECTS credits

KIMEP Credits

Prerequisite

General Education Required Courses

51

33

GEN/IRL 1000 Modern History of Kazakhstan

5

3

None
GEN/OPM 1300 or
GEN/OPM 2301
Information and Communication Technologies or Business Computer Applications

5

3

None
GENXXXX Physical Education

8

4

None
GENXXXX Module of socio-political courses

8

8

None
KAZ/RUS2101 Kazakh (Russian) Language 1

5

3

None
KAZ/RUS2102 Kazakh (Russian) Language 2

5

3

None
ENG 1110/

GEN1010

Academic Listening and Note Taking

5

3

None
ENG 1120 Academic Reading and Writing 1

5

3

None
GEN/IRL 2500
or

GEN/IRL 2510

Introduction to Philosophy or Principles of Ethics

5

3

None

General Education Elective course

5

3

GENXXXX General Education course

5

3

TOTAL

56

36

Program Foundation Courses (112 ECTS/68 KIMEP Credits)

The Program Foundation component consist of two parts:

(1) Program Foundation Required courses (32 KIMEP /52 ECTS credits)

(2) Program Foundation Elective Courses (36 KIMEP/60 ECTS credits)

The following table illustrates the requirements of the Program Foundation component of the program.

Program Foundation Courses

ECTS Credits

KIMEP Credits

Prerequisite

Program Foundation Required Courses

52

32

BUS4251.1 Internship Program I

2

1

30 KIMEP Credits completed
IFS4251.2/ IFS4201.2 Internship Program II/ Cases in IS (substitute)

2

2

60 KIMEP Credits completed and BUS4251.1
ENG/GEN1100 Academic Speaking

5

3

ENG 1110/GEN1010
ENG/GEN1121 Academic Reading and Writing 2

5

3

ENG 1120
KAZ2103 OR RUS2103 Professional Kazakh (Russian)

3

2

None
BUS3331 Business economics

5

3

None
PHYS1201 Physics

5

3

None
MGT3001 Principles of management

5

3

None
ACC2102 Financial accounting 1

5

3

None
FIN3121 Principles of finance

5

3

ACC2102
IFS2203 Management Information Systems

5

3

GEN/OPM 1300 or
GEN/OPM 2301
MKT3130 Principles of Marketing

5

3

None
Program Foundation Elective Courses

60

36

XXXX Elective 1

5

3

XXXX Elective 2

5

3

XXXX Elective 3

5

3

MATH1202 Mathematics for Computer Science 1

5

3

None
OPM3131 Introduction to Operations Management

5

3

IFS2402
IFS2402 Probability and Mathematical Statictics

5

3

MATH1202
ACC2201 Management Accounting I

5

3

ACC 2102
FIN3101 Financial Institutions and Markets

5

3

BUS3331
LAW2202 Business Law

5

3

None
MGT4201 Strategy and Business Policy

5

3

MGT3001,MKT3130, FIN3121, ACC2201
OPM3011 Decision Techniques and Tools

5

3

MATH1202, FIN3121
MATH1204 Mathematics for Computer Science 2

5

3

MATH1202

TOTAL

112

68

Program Specialization Courses (36 KIMEP/ 60 ECTS Credits)

The Program Specialization component consists of two parts:

(1) Required Specialization Courses (27 KIMEP Credits/ 45 ECTS) and

(2) Elective Specialization Courses (9 credits/ 15 ECTS).

The following table illustrates the requirements of the Program Specialization component of the program.

The details of the these courses are provided in the following tables:

Program Specialization Courses

ECTS Credits

KIMEP Credits

 Prerequisite
Program Specialization Required Courses

45

27

CIT2735 Introduction to Programming

5

3

IFS2204
IFS2204 Algorithms. Data structures and Programming

5

3

PHYS1201; MATH1202
IFS4204 Decision Support Systems

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT1303 Information Systems and Networking

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT2302 Database Management Systems in Business

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT2731 Digital Graphics in Business

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT3802 Web programming

5

3

CIT2735
CIT3802 Advanced Programming

5

3

CIT2735
IFS4251.3 Internship Program in IS III

5

3

IFS4251.2 or

IFS4201.2

Program Specialization Elective Courses

15

9

CIT3745 Information Security Management

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT3808 Mobile Platforms and Systems

5

3

CIT2735
FS4304 Business Intelligence Applications

5

3

IFS 4304
IFS4301 Introduction to Data Science

5

3

GEN/OPM 1300 or GEN/OPM2301
CIT3801 Software Engineering Concepts

5

3

IFS2204; CIT2735
CIT3809 Mobile Programming

5

3

CIT2735
CIT3810 Machine Learning

5

3

CIT2735
CIT3804 Engineering Computation and Data Science

5

3

IFS4301
IFS4302 Project Management

5

3

OPM3131
IFS4304 ERP systems

5

3

GEN/OPM 1300 or GEN/OPM2301; MKT3130
CIT3805 Big Data Analytics

5

3

IFS4301
CIT3806 Cryptographic Data Security

5

3

MATH1202; GEN/OPM 1300 or GEN/OPM2301
CIT3811 Security in Computer Networks

5

3

CIT1303
CIT3812 Programming in C

5

3

CIT2735
CIT3803 Python Programming

5

3

CIT2735
CIT3807 Programming in Java

5

3

CIT2735
CIT3814 Programming in PHP

5

3

CIT2735
CIT3815 Programming in SQL

5

3

CIT2735
IFS4305 Data Visualization

5

3

GEN/OPM 1300 or GEN/OPM 2301

TOTAL

60 

 36

Final Attestation (6 KIMEP Credits/12 ECTS)

The Final Attestation component consists of the following three parts:

(1) Research Methods in Business Studies (3 KIMEP Credits / 5 ECTS)

(2) State Examination (1 KIMEP credit / 3 ECTS)

(3) Thesis/ State Specialized Examinations (2 KIMEP Credits / 4 ECTS)

Final Attestation

ECTS Credits

KIMEP Credits

Prerequisite

BUS3300 Research Methods in Business Studies

5

3

Completion of General Education and Program courses

IFS4277 State Examination

3

1

IFS4275/ IFS4280/ IFS4290 Thesis/State examination (2)

4

2

TOTAL

12

6

MINORS

Minors for students of the Bang College of Business

Students are free to choose among different minors. They can also graduate without taking any minor. Graduating without a minor provides more flexibility in selecting elective courses because major requires students to take a particular set of courses.

To gain a minor the BCB students shall take particular courses for a total of 9 KIMEP Credits/15 ECTS. A particular course cannot be counted towards both a specialization and a minor.

Table below lists the requirements for Minors for the BCB students.

Minor Area Code Course Title KIMEP Credits ECTS Credits Prerequisite
Accounting

(any 3 courses)

ACC3101 Financial Accounting II 3 5 ACC2102
ACC3201 Intermediate Financial Accounting I 3 5 ACC3101
ACC3202 Intermediate Financial Accounting II 3 5 ACC3201
ACC3212 Accounting Information Systems 3 5 ACC3101
ACC3110 Management Accounting II 3 5 ACC2201
Finance FIN3210 Corporate Finance 3 5 FIN3121
FIN3101
FIN3220 Investments 3 5 FIN3121
FIN3101
FIN3230 Financial Institutions Management 3 5 FIN3121
FIN3101
Information Systems in Business

(any 3 courses)

IFS3202 Database Management Systems in Business 3 5 GEN/OPM 1300 or GEN/OPM2301
CIT1303 Information Systems and Networking 3 5 GEN/OPM 1300 or GEN/OPM2301
CIT3745 Information Security Management 3 5 GEN/OPM 1300 or GEN/OPM2301
IFS4204 Decision Support System 3 5 GEN/OPM 1300 or GEN/OPM2301
Computer Applications CIT2731 Digital Graphics in Business 3 5 GEN/OPM 1300 or GEN/OPM2301
IFS4204 Decision Support System 3 5 GEN/OPM 1300 or GEN/OPM2301
CIT3734 Web Technologies in Business 3 5 GEN/OPM 1300 or GEN/OPM2301
Management        (any 3 courses) MGT3206 Leadership and Motivation 3 5 MGT3001
MGT3208 Innovation Management 3 5 MGT3001
MGT3210 International Business 3 5 MGT3001
MGT3212 Organizational Behavior 3 5 MGT3001
Leadership LDP3201 Leadership: Principles and Best Practices 3 5 MGT3001
LDP4201 Leadership: Making Principles Work 3 5 MGT3001
LDP4202 Leadership in Action 3 5 LDP 3201                   LDP4201
Human Resources Management MGT3204 Human Resource Management 3 5 MGT3001
MGT4208 Training and Development 3 5 MGT3204
MGT4210 Compensation and Performance Management 3 5 MGT3204
Entrepreneurship MGT3211 Principles of Entrepreneurship 3 5 MGT3001
MGT3216 Business Model Innovation 3 5 MGT3211
MGT3217 Building and Accelerating the Venture 3 5 MGT3211
Marketing  (MKT3150 and any 2 other courses) MKT3150 Strategic Marketing 3 5 MKT3130
MKT3201 Consumer Behavior 3 5 MKT3150
MKT3202 Marketing Communications 3 5 MKT3130
MKT3214 Brand Management 3 5 MKT3150
MKT4203 Marketing Research 3 5 MKT3150
Tourism and Hospitality Management MKT3222 Cross Cultural Tourism Marketing 3 5 MKT3130
MKT3221 Tourism Practices and Principles 3 5 MKT3130
MGT3215 Hospitality Management 3 5 MGT3001

MERIT CERTIFICATES

In order to be eligible for the merit certificates under each Bachelor program, a student must:

I. Take a set of three courses, offered by the BCB undergraduate programs, in a respective area.

II. Meet exit criteria of a minimum overall GPA 4.00 in all courses required for a respective certificate.

III. All prerequisites must be met (waive of prerequisites, concurrent registration, CSS courses as equivalence of BCB courses are NOT allowed).

Merit Certificate in Auditing (9 credits / 15 ECTS)

Required courses:
ACC4203 Auditing
ACC4209 Fraud Examination
ACC4216 Professional Auditing

Merit Certificate in Taxation (9 credits / 15 ECTS)

Required courses:
ACC3205 Principles of Taxation
ACC3210 Taxation in Kazakhstan
ACC4240 Taxation of Multinational Enterprises

Merit Certificate in Corporate Finance and Investment Management (9 credits / 15 ECTS)

Required courses:
FIN4224 International Financial Management
FIN4212 Mergers and Acquisitions
FIN4221 Investment Banking

Merit Certificate in Financial Institutions and Risk Management (9 credits / 15 ECTS)

Required courses:
FIN3230 Financial Institutions Management
FIN4224 Introduction to Financial Derivatives
FIN4232 Risk Management

Merit Certificate in Marketing Communications and Branding (9 credits / 15 ECTS)

Required courses:
MKT3202 Marketing Communications
MKT3201 Consumer Behavior
MKT3214 Brand Management

Merit Certificate in Tourism and Hospitality Management (9 credits / 15 ECTS)

Required courses:
MKT3221 Tourism Practices and Principles
MGT3215 Hospitality Management
MKT3222 Cross-Cultural Tourism Marketing

CERTIFICATE IN LEADERSHIP

The purpose of the Leadership Development Program is to help KIMEP students develop the necessary skills to assume key positions in Kazakhstani business and government.  It focuses on the practical application of leadership skills, ending in a supervised internship.  Those students who fulfill all Program requirements listed below receive a Certificate in Leadership.

Certificate in Leadership (9 credits / 15 ECTS)

Required courses:
LDP3201 Leadership: Principles and Best Practices
LDP4201 Leadership: Making Principles Work
LDP4202 Leadership in Action

OPERATIONS MANAGEMENT and INFORMATION SYSTEMS AREA

PHYS1201 Physics (3 Credits; 5 ECTS)

No Prerequisite

This course provides students with the opportunity to develop their knowledge, understanding and skills relevant to the study of motion. Students examine energy in its different forms, and how we describe and measure electricity and magnetism and their interrelated effects.

GEN 1201 Mathematics for Business and Economics (3 Credits; 5 ECTS)

Prerequisites: None

The course develops the basic concepts of mathematical analysis used in economics and business with emphasis on differentiation and integration of single real-variable functions and matrix algebra. The approach to these concepts is intuitive and visual. The formal proofs are given only when they help in understanding concepts. Applications to economics, business and social science as well as computational realizations are studied.

GEN2402 Business Statistical Analysis (3 Credits; 5 ECTS)

Prerequisites: GEN 1201 Mathematics for Business and Economics/MATH1202 Calculus

The course provides basic knowledge of probability, axioms of probability, expectation, joint and conditional probability distributions, Bayesian concepts of statistical inference, exploratory data analysis and data transformations, confidence limits, continuous probability distributions, sampling distributions, sampling surveys, hypotheses testing, regression analysis, analysis of variance and correlation analysis.

MATH1202 Mathematics for Computer Science 1 (Calculus I)

Prerequisites: none

The course introduces the basic mathematical tools and methods needed for computer science. It teaches how to develop the elementary mathematical skills needed to define, analyze and reason with the sorts of abstract concepts used in programming and computer science.

MATH1204 Mathematics for Computer Science 2 (Calculus III)

Prerequisites: Mathematics for Computer Science 1

The course introduces the advanced mathematical tools and methods needed for computer science. It teaches the principles of discrete and linear algebra applied in programming and computer science.

IFS2402 Probability and Mathematical Statistics

Prerequisites: Mathematics for Computer Science 1

The courses introduces probability theory and mathematical statistics. It teaches the concept and elementary properties of probability space, and random variables and their probability distributions. The concept of sampling, estimation, and hypotheses testing is also explained.

OPM3011 Decision Techniques and Tools (3 Credits; 5 ECTS)

Prerequisite: GEN1201 Mathematics for Business and Economics/MATH1202 Mathematics for Computer Science 1 and FIN3121 Principles of Finance

The course provides the essential concepts of business mathematical methods and knowledge about computer tools used for decision making and problem solving. It will deal with such topics as LP Solutions, Breakeven Analysis, Sensitivity Analysis, Decision Trees, CPM/PERT, Time Series Analysis, Quantitative Forecasting Techniques, Decision Support Systems & Spreadsheets. The course will have a lab section added to focus on application of computer tools.

OPM3131 Introduction to Operations Management (3 Credits; 5 ECTS)

Prerequisite: GEN2402 Business statistical Analysis or IFS2402 Probability and Mathematical Statistics

This course is an overview of the fundamentals of operations management (OM) used in service and manufacturing organizations. OM uses analytical thinking to deal with real world problems. Students will be introduced to the application of effective operations management techniques: productivity management, product and process design, job design, the planning and management of materials flows, manpower and capacity planning and scheduling, project management, and quality management.

OPM3215 Business Time Series Forecasting (3 Credits; 5 ECTS)

Prerequisite: GEN2402 Business statistical Analysis

The course is devoted to advanced students who would like to refine their knowledge in applied statistics. The course consists of forecasting models and techniques, such as exponential smoothing models, ARIMA models, neural network techniques, rule-based forecasting, business forecasting. Commercial software such as SPSS and Neural Networks Package will be used for practical applications. Examples of time series forecasting related to marketing, operations, and finance are provided.

GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

Prerequisites: None

The purpose of the course is to introduce the background of computer and information technology principles to beginners and pre-intermediate level students. The course involves uses of modern software, such as Microsoft Windows, Word, Excel, PowerPoint, Internet and E-mail programs, which are necessary for studying at KIMEP. This course is a broad overview of the main topics in business computer applications. Students gain an understanding of computer architecture, networks, telecommunications; they learn how to apply information and knowledge systems, operations and decision support systems, spreadsheets, databases to a wide range of tasks and decision making process. The course emphasizes how organizations benefit from and use computer-based technology. The purpose of the course is to foster business thinking through available technical means.

CIT1303 Information Systems and Networking

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course focuses on the information systems and networking principles and best practices. In this course students will learn the foundation concepts of computer hardware, software, operating systems, peripherals, etc. along with how to get the most value and impact from computer technology. The course includes creating and working with a computer network and network equipment.

IFS2203 Management Information Systems (3 Credits; 5 ECTS)

Prerequisite: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course provides a broad overview of the information systems including their resources and components. In addition the course discusses key managerial issues relating to implementation and application of information systems in an enterprise, understanding the impact of information systems/ information technology on business functions; outlining strategies for corporate growth based on the effective use and management of information systems; analyzing business problems and developing the design for relevant information systems solutions; understanding how information systems can be used to transform business processes and provide more effective management control and decision systems.

IFS2204 Algorithms, Data structures, and Programming (3 credits; 5 ECTS)

Prerequisite: PHYS1201 Physics, MATH1202 Calculus

This course is designed for teaching students three main fundamental terms in software engineering – data structures, algorithms, and programming. Students will learn types of data such as arrays, stacks, queues, linked lists, binary search trees, heaps, and graphs, the syntax of data declaration and manipulation in object-oriented programming language environment. Students will learn types of algorithms – linear, non-linear, the possible algorithm presentation ways, algorithms that make use of such structures as for sorting, searching, memory management. Students will also learn at least 2 programming languages at the examples of deciding different computational, business problems.

CIT2731 Digital Graphics in Business (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course involves studies of computer graphics software; basis of computer graphics: vector, bitmap (raster), 2-, 3- dimensional software packages, graphics coding, etc. The course is emphasized on the use of computer graphics in business (design of business cards, logo, booklets, leaflets, animated banners, billboards, etc.) with Corel Draw 12, Corel Draw X5 as software package “3 in 1” combining vector and bitmap graphics facilities (drawing with Corel Draw, image modifying with Corel Photo Paint, animating with Corel R.A.V.E.)

CIT2302 Database Management Systems in Business (3 Credits; 5 ECTS)

Prerequisite: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course covers fundamentals of databases & database management systems. The course introduces types and models of data base logical organization, relational structure of database systems based on entity relationship diagrams. The course contains basic principles of the relational database management systems with key fields and relationship models, with database testing mechanisms via Normal forms. The course contains principles of securing data while monitoring, editing, transferring. The course is compiled in the sequential manner from declaring, structuring, arranging data to managing data with data base management system -DBMS objects such as queries, forms, reports, pages. The course contains basis of programming with built-in DBMS languages like SQL, built-in macro-commands

CIT3734 Web Technologies in Business (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course provides knowledge about Web Design principles. In this course students will learn the fundamentals of web site design. Topics include publishing Web sites, updating web sites, Internet technologies. Topics include an overview of the www, e-mail, browsers, basic web page elements and organization of virtual communities. In the course software for web site development such as MS FrontPage and Dream Weaver are taken as tools.

CIT3745 Information Security Management (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

The purpose of this course is to show some of the critical security challenges in today’s computing world and to discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography and other defence mechanisms. Course contains topics which deal with theoretical and fundamental aspects of cryptography, discuss various applications of cryptographic protocols and techniques in designing computing and network security solutions. The course will be useful for students interested in cryptography and security related areas.

CIT3801 Software Engineering Concepts (3 Credits; 5 ECTS)

Prerequisites: IFS2204 Algorithms. Data structures and Programming, CIT2735 Introduction to Programming

Software engineering is the application of a systematic disciplined quantifiable approach to the development, operation and maintenance of software; the application of engineering to software. In the course there will be given basic activities which are common to all software engineering process models: software specification – functional requirements obtained from the user; software design and implementation – production of the software system as a product; software validation – activity that assures that customer specifications are met; software evolution – system modification to meet continuing customer needs.

CIT3802 Advanced Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

This course introduces computer programming using JAVA Script and the basics of JAVA programming languages with the principles of object-oriented programming. The emphasis is on event-driven programming methods, including creating and managing objects, classes, and using object-oriented tools, such as a class debugger. Upon completion, students should be able to develop, code, test, and debug JAVA Script and JAVA language programs.

CIT3803 Python Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

In this course students will learn programming in Python which is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side),software development, mathematics, system scripting. Students will learn how to utilize Python program to create web applications; to create workflows; to connect to database systems, to read and modify files; to handle big data and perform complex mathematics; to rapid prototype; to do production-ready software development.

CIT3804 Engineering Computation and Data Science(3 Credits; 5 ECTS)

Prerequisites: IFS4301 Introduction to Data Science

This course trains students to use and manage scientific data, whether it is in analyzing complex physical systems or in using statistics and machine learning, along with data visualization to extract useful information from the massive amount of data that can be also collected from sensors today. The course is committed to the development of new knowledge aimed at development and propagation of the use of numerical and computational tools to further research across multiple disciplines.

CIT3805 Big Data Analytics (3 Credits; 5 ECTS)

Prerequisites: IFS4301 Introduction to Data Science

This course covers Big Data Fundamentals, including the characteristics of Big Data, the sources Big Data (such as social media, sensor data, and geospatial data), as well as the challenges imposed around information management, data analytics, privacy and security, as well as platforms and architectures. Data warehouses will also be presented as a solution to handling big data and business intelligence applications. This course is for understanding why the Big Data Era has come to be. This course provide students with the terminology and the core concepts behind big data problems, applications, and systems. It will help students to start thinking about how Big Data might be useful in their business or career.

CIT3806 Cryptographic Data Security (3 Credits; 5 ECTS)

Prerequisites: MATH1202 Calculus and GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

The purpose of this course is to show some of the critical security challenges in today’s computing world and to discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography and other defense mechanisms. Course contains topics which deal with theoretical and fundamental aspects of cryptography, discuss various applications of cryptographic protocols and techniques in designing computing and network security solutions. The course will be useful for students interested in cryptography and security related areas.

CIT2735 Introduction to Programming  (3 Credits; 5 ECTS)

Prerequisites: IFS2204 Algorithms, Data structures and Programming

This course introduces computer programming using JAVA Script and basis of JAVA programming languages with object-oriented programming principles. Emphasis is placed on event- driven programming methods, including creating and manipulating objects, classes, and using object-oriented tools such as the class debugger. Upon completion students should be able to design, code, test, and debug JAVA Script and JAVA language programs

CIT3812 Programming in C (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches C language of programming, developed for creating system applications that directly interact with the hardware devices such as drivers, kernels, etc. C programming is considered as the base for other programming languages, that is why it is known as a mother language.

CIT3807 Programming in Java (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches Java, a popular general-purpose programming language and computing platform. It is fast, reliable, and secure. According to Oracle, the company that owns Java, Java runs on 3 billion devices worldwide. Considering the number of Java developers, devices running Java, and companies adapting it, it’s safe to say that Java will be around for many years to come.

CIT3814 Programming in PHP (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches PHP, a popular general-purpose scripting language that is especially suited to web development. The language has the ability to communicate back and forth with a server and create a dynamic web page for the user.

CIT3815 Programming in SQL (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course will teach SQL, a domain-specific language used in programming. The language is designed for managing data held in a relational database management system, or for stream processing in a relational data stream management system.

CIT3811 Security in Computer Networks (3 Credits; 5 ECTS)

Prerequisites: CIT1303 Information Systems and Networking

The courses teaches the fundamental of network security, which consists of the policies and practices adopted to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources.

CIT3809 Mobile Programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

This course teaches how to develop mobile applications for mobile devices, such as personal or enterprise digital assistants or mobile phones. These applications can be pre-installed on phones during manufacturing stage, or delivered as web applications using server-side or client-side processing to provide an “application-like” experience within a Web browser.

CIT3810 Machine Learning (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches the fundamental of Machine learning, a method of data analysis that automates analytical model building. It is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

CIT3808 Mobile Platforms and Systems (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches the hardware and software environment for laptops, tablets, smartphones and other portable devices. The students will learn different platforms like Windows and Mac dominated the laptop world, and Apple and Android that rule the smartphone/tablet devices.

CIT3802 Web programming (3 Credits; 5 ECTS)

Prerequisites: CIT2735 Introduction to Programming

The course teaches programing for develop website development. Web development can range from developing a simple single static page of plain text to complex web-based internet applications, electronic businesses, and social networks.

IFS 4204 Decision Support Systems (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

A decision support system (DSS) – is a computer system that encompasses mathematical models, informational databases and a user interface to help managers make better decisions. This course is intended to develop an appreciation of the nature of managerial business decision making as well as a working knowledge of Decision Support Systems (DSS) for facilitating the process of semi-structured decision making. The course will help students to gain proficiency in general solutions of operational business problems, using Decision Support Systems released in spreadsheets at the examples of MS Excel, Google sheet (free cloud), released in free cloud applications – such as Microsoft Power BI, and special commercial DSS software including IBM SPSS.

IFS4301 Introduction to Data Science (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications

This course covers the necessary tools and concepts used in the data science industry, including machine learning, statistical inference, scaled data, and more. Students will learn the basics of retrieving data from a variety of sources, including web APIs and page cleaning. Students will learn the basic syntax of data mining languages such as R, Python, command line and spreadsheets for research and data manipulation. The course contains topics on using methods for data analysis.

IFS4302 Project Management (3 Credits; 5 ECTS)

Prerequisites: OPM3131 Introduction to Operations Management

This course offers a comprehensive overview of project management and covers topics such as methodology, tool sets, and project lifecycle including analysis, planning, design, and evaluation. It provides a good foundation for beginners who want to learn about the various phases of the system development lifecycle, as well as different types of documentation.

IFS4304 Business Intelligence Applications (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information & Communication Technologies or GEN/OPM2301 Business Computer Applications and FIN3121 Principles of finance and MKT3130 Principles of Marketing

This course provides students a comprehensive introduction to the concepts, techniques and applications of business intelligence (BI). The course will overview of business intelligence, introduce basic business intelligence terminology, overview of data driven decision making, introduce real-world business intelligence examples and train skill in using business intelligence software.

IFS4305 Data Visualization (3 Credits; 5 ECTS)

Prerequisites: GEN/OPM 1300 Information and Communication Technologies or GEN/OPM 2301 Business Computer Applications

The course is addressed to students with knowledge on basic data analysis techniques. Students will get started with building interactive MS Power BI dashboards based on the user needs and required metrics. By the end of the classes students will become efficient in telling an interactive story using data and providing recommendations based on it.

IFS4306 ERP systems (3 Credits; 5 ECTS)

Prerequisites: CIT2302 Database Management Systems in Business

ERP Systems are used by large and midsize companies in order to support their daily business transactions, covering areas such as Sales & Distribution, Procurement, Inventory Management, Production Planning, Finance and Controlling. Enterprise software designed to integrate every aspect of a company’s operation. The goal of this course is to familiarize students with business processes and enable them to record transactions in an ERP System

IFS4275 Thesis (2 Credits; 4 ECTS)

Prerequisites: completion of the General Education and Program courses

A thesis is a research work on a topic that is in the area of Information Systems and Technology. Students will be supervised by faculty members in the process. Further details on thesis requirements are provided under the KIMEP University regulations on this matter.

IFS4277 State Examination (1 Credit; 3 ECTS)

Prerequisites: completion of the General Education and Program courses

Students are required to take the state examination in the major area. Further details on this requirement are provided under the KIMEP University regulations on this matter.

IFS4280/ IFS4290State Specialized Examinations (2 credits; 4 ECTS)

Prerequisites: completion of the General Education and Program courses

Students can take state specialized examinations under certain conditions. Further details on this requirement are provided under the KIMEP University regulations on this matter.

IFS4251.2 Internship Program in IS II (2 Credits; 2 ECTS)

Prerequisites: BUS4251.1 Internship Program I and 70 credits completed

Familiarization with the organizational structure of the internship host-organization, with the area of its activities; learning mode of operation of the organization; learning the organizational documents of the organization; acquiring the skills of collecting and processing of primary information in the field of management; carrying out a comparative analysis of the organization; identifying gaps and suggesting the ways to improve the development of the organization.

IFS4201.2 Cases in IS (substitute) (2 Credits; 2 ECTS)

Prerequisites: BUS4251.1 Internship Program I and 70 credits completed

This course provides students the opportunity to apply their knowledge and skills to address a series of real IT issues that have arisen in organizations. The variety of cases, in terms of issues addressed and different organizational settings, provides the opportunity to accelerate learning in a manner not possible in real-life. Students can expect to develop and apply not only their critical, analytical and decision-making skills but also those of written and oral communication.

IFS4251.3 Internship Program in IS III (3 Credits; 5 ECTS)

Prerequisites: IFS4251.2 Internship Program in IS II or IFS4201.2 Cases in IS (substitute)

The consolidation and intensification of theoretical knowledge and skills acquired by students through the process of theoretical learning; the formation of professional competence; the familiarization with real industrial, technological, and organizational processes going on at the place of internship; the mastering of the profession’s basics in the operational sphere: the familiarization with and acquirement of the methodology and technology of professional problem-solving; the collection of the necessary for the preparation and compilation of the internship report materials. Bases of internship are organizations related to careers in Information Technologies in Business.

Scholarship opportunities

There are 20 scholarships available for the whole period of education at the Bachelor of Information Systems in Business program for those who will start their studying process in Fall 2018.

Contact the Office of Financial Aid, if you would like to apply for scholarship.

Tuition & Fees

Career Prospects
The Bachelor of Information Systems in Business program has been specifically designed to prepare graduates to meet the diverse needs of contemporary Kazakhstan and global employment markets. Upon completion of the program, graduates will be able to compete with other highly qualified candidates in these markets. Furthermore, they will be able to demonstrate firm specialized theoretical knowledge in the field of Information Systems in Business.
Bachelor of Information Systems in Business program provides students an opportunity to develop many important and valuable technical skills, advanced analytical skills, and broad business and information systems expertise to build a stellar career.

Job options related to BISB degree include:
– Application analyst
– Data analyst
– Data scientist
– Business analyst
– Web content manager
– Information systems manager
– IT consultant
– Systems analyst
– Information Systems developer

Typical employers for information systems specialists:
– Financial organizations
– IT companies
– Management consultancy firms
– Software companies
– Universities
– Hospitals
– Local authorities
– Central government
– Online retailers
– Enterprises
– Logistical structures

Ho Young Lee (3)

Jay Hoyoung Lee, Ph.D.

Dean of the Bang College of Business
Associate Professor of Marketing

More:

Research and Publications:

A Study on Customer Churn Prediction Model for Customer Relationship Management by Life Insurers, Journal of Korean Insurance Academic Society, 2006


Vassiliy Voinov

Vassiliy Voinov, Ph.D.

Professor

More:
Name Vassilly Voinov
Position Professor of BCB, Department of Marketing and Management
Email address voinovv@kimep.kz
Education background ·         Doctor of Physical and Mathematical Sciences (“Probability  Theory and Mathematical Statistics”),

Joint Institute for Nuclear Research (1989, Dubna, Moscow  region, USSR)

 

Overview    Professor Voinov’s current primary research interest focuses on studying the hard optimization problems in business. Specifically, he examines possibility to elaborate polynomial in time algorithms and software to solve discrete linear programs, knapsack, subset sum, packing and assignment problems.

His numerous valuable research results have been published in Communications in Statistics – Theory and Methods, Communications in Statistics – Simulation and Computations, Australian and New Zealand J. of Statistics, J. of Statistical Planning and Inference, Revue  Roumaine de Mathématiques  Pures et Appliquées and in many other reputable peer reviewed journals. Currently he has 318 citations of his publications.

Research Interests Probability theory, mathematical statistics, applied statistics, statistical models in business and economics, business time-series forecasting, discrete mathematics and linear programming, hard discrete optimization problems in business.
Membership in International Professional Organizations 1) [Currently] A member of the American Statistical Association. A peer reviewer of manuscripts for the journals “Communications in Statistics”, “Computational statistics and data analysis”, “J. of Statistical Computation and Simulation”.

2) [Currently] A member of the American Mathematical Society. A permanent  reviewer for the journal “Mathematical Reviews”.

Postgraduate Students Supervising Supervised three candidate of sciences theses and one PhD thesis of Mr. L.Bordes in Bordeaux-2 University (France). All of them have defended their theses successfully.

 

Selected Publications Books:

1)      Voinov V.G., Nikulin M.S., Balakrishnan N. (2013) Chi-squared goodness-of-fit tests with applications. Academic Press, ELSEVIER, New York, etc. 229 pp.

2)      Voinov V.G., Nikulin M.S. (1996) Unbiased estimators and their applications. Vol.2: Multivariate case, 262p.,Kluwer Academic publishers, The Netherlands.

3)      Voinov V.G., Nikulin M.S. (1993) Unbiased estimators and their applications. Vol.1: Univariate case, 521pp.,Kluwer Academic publishers, The Netherlands

4)      Voinov V.G., Nikulin M.S. (1989) Unbiased estimators and their applications. Moscow, Nauka, 436pp. (in Russian)

5)      Voinov G.G. et al (1978) An automation of film information treatment under high energies. “Nauka” AN KazSSR, 131 pp. (in Russian)

6)      Voinov V.G., Chasnikov I.Ya. (1969) Multiple scattering of charged particles in nuclear emulsions. Alma-Ata, “Nauka KazSSR”, 130pp. (in Russian).

Chapters in books:

1)      M. Nikulin., V. Voinov.  (2011). Unbiased estimators and their applications. In: “International Encyclopaedia of Statistical Sciences”. Part U, pp. 1619-1621,  Springer: New York .

2)      V. Voinov., M. Nikulin.  (2011). Chi-square Goodness-of-fit Tests: Drawbacks and Improvements. International Encyclopedia of Statistical Science, Part C, pp. 246-250, Springer: New York.

3)      V. Voinov, R. Alloyarova, N. Pya. (2008).  Recent achievements in modified chi-squared goodness-of-fit testing. Chapter in the book:”Statistical models and methods for biomedical and technical systems”, eds. F.Vonta, M.Nikulin, N.Limnios, C.Huber. ISTE&WILEY, London, pp.193-206.

4)      V. Voinov, M. Nikulin, N. Pya (2007) Independent distributed in the limit components of some chi-squared tests. In the Book: “Recent  Advances in Stochastic Modelling and Data Analysis” Editor: Christos H. Skiadas, Publisher: World Scientific Publishing Co Pte Ltd.,  p.243-250

5)      M.Nikulin, V.Voinov (2006) Chi-squared testing. In: Encyclopedia of Statistical Sciences, (S.Kotz, N.Balakrishnan, C.B.Read, B.Vidakovich, eds.) 2nd Edition, Vol.2, John Wiley $ Sons, Hoboken, New Jersey, pp.912-921.

6)      Voinov V.G., Nikulin M.S. (2000) Unbiased estimation in reliability and similar problems. In: Recent Advances in Reliability Theory, Eds: M.Limnios, M.Nikulin, Birkhäuser, Boston 435-448

7)      Voinov V.G., Nikulin M.S. (1997) On a subset sum algorithm and its probabilistic and other applications. In: Advances in combinatorial methods and applications to probability and statistics, Ed.: N. Balakrishnan, Birkhäuser, Boston, 153-163

Papers in refereed journals:

1)      Voinov, V. (2017) A Note on the Intractability of Partition, Knapsack, Subset Sum and Related Problems. Математический журнал,  Vol. 17, No.4, 13-24.

2)      Voinov, V., Pya, N. (2017) R-Software for additive partitioning of positive integers. Математический журнал,  Vol. 17, No.1, 69-76.

3)      Voinov, V., Pya, N., Makarov, R., Voinov, Y. (2016) New invariant and consistent chi-squared type goodness-of-fit tests for multivariate normality and a related comparative simulation study. Commun. in Statist. – Theory and Methods, 45, 3249 — 3263

4)      Voinov, V., Pya, N., Shapakov, N., Voinov, Y. (2013). Goodness-of-fit tests for the power-generalized Weibull probability distribution. Commun.Statist.-Simula.Computa., Vol.42, 1003-1012.

5)      Voinov,V., Pya, N., Makarov, R., Voinov, Y. (2012). Goodness-of-fit tests for two-dimensional normal probability distribution. AFBE Journal, Vol. 5, 201-218.

6)      Ya. Lumelskii, V. Voinov, E. Voinov, M. Nikulin. (2011). Approximate confidence limits for a proportion of the   Polyá distribution.  Commun. Statist-Theory Methods, Vol. 40, pp. 1601-1619.

7)      V. Voinov, E. Voinov, R. Rakhimova. (2010). Poisson versus binomial: The U.S. Supreme Court judges’ appointment. Australian and New Zealand J. of Statistics, Vol.52(3), pp.261-274.

8)      V. Voinov, E. Voinov. (2010). A statistical reanalysis of the classical Rutherford’s experiment. Commun.Statist.-Simula.Computa., Vol.39, 157-171.

9)      V. Voinov, N. Pya. (2010). A note on vector-valued goodness-of-fit tests.  Commun. Statist-Theory Methods, Vol.39, 452-459

10)  V. Voinov. (2010). A decomposition of Pearson-Fisher and Dzhaparidze-Nikulin statistics and some ideas for a more powerful test construction. Commun. Statist-Theory Methods, Vol.39, 667-677.

11)  V. Voinov, N. Pya., R. Alloyarova. (2009). A comparative study of some modified chi-squared tests. Commun.Statist.-Simula.Computa., Vol.38, 355-367.

12)  R.Alloyarova, M. Nikulin, N. Pya, and V. Voinov (2007). The Power-Generalized Weibull probability distribution and its use in survival analysis. Communications in Dependability and Quality Management, Vol. 10, 2007, pp.5-15.

13)  Ya. Lumelskii, V. Voinov, M. Nikulin, P. Feigin  (2007) On a generalization of the classical random sampling scheme and unbiased estimation. Commun.Statist.Theory and Methods, Vol.36, pp.693-705.

14)  В.Г.Воинов (2006). Об оптимальных свойствах критерия Рао-Робсон-Никулина. Заводская Лаборатория, Том.72, с.65-70.

15)  Nikulin M.S., Smirnov T.I.,Voinov V.G. (2002) Multivariate discrete distributions induced by an urn scheme, linear diophantine equations, unbiased estimating, testing and applications. J. of Stat. Plan. & Inf., Vol.101, Issue 1-2, pp. 255-266

16)  Voinov V.G. et al (2001) A probabilistic description of radioactive contamination: a multivariate model. Appl. Radiation and Isotopes, Vol.54, 355-363.

17)   Voinov V.G. et al (2000) A probabilistic description of radioactive contamination. Appl. Radiation and Isotopes, Vol.52, 993-1002

18)   Voinov V.G., Nikulin M.S. (1997). On some statistical and probability problems related to unipartite and multipartite partitions. Rev. Roum. Math. Pures et Appl., Vol.52, 163-178

19)   Bordes L., Nikulin M.S., Voinov V.G. (1997) Unbiased estimation for a multivariate exponential whose components have a common shift. J. Multivar. Analysis, Vol. 63, 199-221.

20)   Voinov V.G., Nikulin M.S. (1995) A review of the results on the Stein approach for estimators improvement. Questiio, Vol.19, 9-35

21)   Voinov V.G., Nikulin M.S. (1995) On the problem of the means of weighted normal populations. Questiio, Vol.19, 93-106

22)   Voinov V.G., Nikulin M.S. (1995) Generating functions, problems of additive number theory and some statistical applications. Rev. Roum. Math. Pures et Appl., Vol.40, 107-147

23)   Voinov V.G., Nikulin M.S. (1994) A chi-square goodness-of-fit test for modified power series distributions. Sankhya, Vol.56B, 86-94

24)   Voinov V.G., Nikulin M.S. (1994) On power series, Bell polynomials, Hardy-Ramanujan-Rademacher problem and their statistical applications. Kybernetika, Vol.30, 343-358

25)   Voinov V.G., Nikulin M.S. (1993) Unbiased estimators of multivariate discrete distributions and chi-square goodness-of-fit test. Questiio, Vol.17, 301-326

26)   Voinov V.G., Kumganbayev M. (1990) A derivation of the probability density function for a modified Greenwood’s statistic and testing the uniformity. Sankhya, Vol.52A, 91-102

27)   Voinov V.G., Nikulin M.S. (1989) A chi-square goodness  of-fit test for exponential distributions of the first order. Lecture notes N1412, Springer, 239-258

28)   Voinov V.G., Pshenin E.S. (1987) Does the phenomenon of anomalons really exist? Z. Phys. A.-Atomic Nuclei, Vol. 328, 363-371

29)   Voinov V.G. (1986) On Jani’s paper on the minimum variance unbiased estimation for a left-truncated modified power series distribution. Sankhya, Vol. 48B, 144-150

30)   Voinov V.G. (1985) Unbiased estimation of powers of the inverse of mean and related problems. Sankhya, Vol. 47B, 354-364

31)   Voinov V.G., Pshenin E.S. (1985) On the momentum and the energy estimation for charged tracks in nuclear emulsion and bubble chambers. Nucl. Instrum. And Methods in Phys. Res., Vol. A238, 572-574

32)   Voinov V.G. (1984) Variance and its unbiased estimator for the common mean of several normal populations. Sankhya, Vol. 46B, 291-300

33)   Voinov V.G., Chenyavsky M.M. (1984) On the statistical estimation of the lifetimes of charmed particles. Nucl. Instrum. And Methods in Phys. Res., Vol. A228, 133-140

34)   Voinov V.G., Pshenin E.S. (1983) A possible explanation for the evidence of anomalously short mean free paths of projectile fragments from heavy ion collisions. Phys. Lett., Vol.128B, 133-137

35)   Voinov V.G. et al (1977) Energy and angle distributions of secondary particles in – nucleus interactions at 50 Gev, Nuclear Physics, Vol. 25, pp. 1003-1008

36)   Voinov V.G. et al (1977). Associate multiples in – nucleus interactions at 50 Gev. Nuclear Physics, Vol. 25, pp. 782-787

37)   Voinov V.G. et al (1972) Pion-nucleus’ interactions momentum characteristics at 60 Gev. Nuclear Physics, Vol. 16, pp. 539-545

38)   Voinov V.G. et al (1970) Coherent production of particles by 60 Gev/c pions on emulsion nuclei.  Phys. Lett., Vol.31B, 241-245

39)   Voinov V.G. et al (1970) General characteristics of pion-nucleon interactions at 60 Gev/c obtained in nuclear emulsions. Phys. Lett., Vol.31B, 237-240

40)   Voinov V.G. et al (1969) Inelastic and coherent pion-nucleus interactions in nuclear emulsions under the energy 60 Gev. Nuclear Physics, Vol. 10, pp. 991-998

41)   Voinov V.G., Chasnikov I.Ya. (1968) Multiple Coulomb Scattering of pions with the energy of 60 Gev. Nuclear Physics, Vol. 10, pp. 988-990

 Other publications:

1)  Voinov, V. (2015) 115 Years’ jubilee of Karl Pearson’s chi-squared test. III Scientific-

applied conference “Statistics and its Applications” Tashkent 2015, 1-10.

2) V.G. Voinov (2014). Recent achievements in chi-squared type goodness-of-fit testing.

 Математический журнал, Vol. 14, pp. 90-115.

3)  V. Voinov. (2010). The chi-squared test and modifications: from 1900 to 2010.  In JSM

     Proceedings, Section on Statistical Education. Alexandria, VA: American Statistical

Association. 869-880.

4)   Y. Voinov. (2010). Approximate confidence limits for a proportion of the hypergeometric

probability distribution: applications in audits, acceptance sampling and medical

investigations. In JSM Proceedings, Business and Economic Statistics Section.

Alexandria, VA: American Statistical Association. 881-893.

5)   V.Voinov., E.Voinov (2009). Some new modified chi-squared goodness-of-fit tests and

their application in particle physics and political science. In: Proceedings of JSM 2008,

Denver, Colorado, Aug. 3-7, ISBN 978-0-9791747-5-9,  pp.540-547

6)   V.Voinov,  N. Pya  (2007) A note on vector-valued goodness-of-fit tests. In Proceedings

of the XIIth Int. Conf. On Applied Stochastic Models and Data Analysis, May 29-31 and

June 1, 2007, Chania, Crete, Greece, CD publication.

7)  O. Vlasov, V.Voinov  (2006) “On optimizing advertising activities of a company”.  Proc.

Of the 5th Annual KIMEP Int. Research Conf. (KIRC),KIMEP, Almaty 2006, pp.155-161

8)  Ya. Lumelskii, V. Voinov, M. Nikulin, P. Feigin  (2006) “Unbiased estimators for the

multivariate Polya distributions”. In: Proc. Of the Int. Conf. on Statistical Methods for

Biomedical and Technical Systems, Limassol, Cyprus, May 29-31, 2006, pp. 381-386.

9)   Voinov V.G. (2004) Chi-squared goodness-of-fit tests: history, achievements, open

problems. In: Proc. Of the 7th Iranian Statist. Conf., Allameh-Tabatabaie Univ., Aug. 23-

25, 2004, pp. 366-384.

10)  Voinov V., Pya N. (2004)  On the power of modified chi-squared goodness-of-fit tests

for the family of logistic and normal distributions. In: Proc. Of the 7th Iranian Statist.

Conf., Allameh-Tabatabaie Univ., Aug. 23-25, 2004, pp. 385-403.

11)   Novak M., Voinov V. and Pya N. (2003) Probabilistic and neural network descriptions

of radioactive fields. In: Proceedings of the Int. Conf. “Advances in Statistical Inferential

Methods: Theory and Applications”, June 9-12, 2003, KIMEP, “Gylym”, Almaty, pp. 149

– 169.

12)   Voinov V., Naumov A. and Pya N. (2003) Some recent advances in chi-squared testing.

In: Proceedings of the Int. Conf. “Advances in Statistical Inferential Methods: Theory

and Applications”, June 9-12, 2003, KIMEP, “Gylym”, Almaty, pp. 233 – 247

13)  Vlasov O., Voinov V., Kini R. and Pya N. (2003) A multivariate statistical model of a

firm’s advertising activities and their financial implications. In: Proceedings of the Int.

Conf. “Advances in Statistical Inferential Methods: Theory and Applications”, June 9-12,

2003, KIMEP, “Gylym”, Almaty, pp. 471 – 476

14)  Voinov V. and Pya N. (2003)  On some business and other applications of neural net like

algorithms. In: Proceedings of the Int. Conf. “Advances in Statistical Inferential Methods:

Theory and Applications”, June 9-12, 2003, KIMEP, “Gylym”, Almaty, pp. 477 – 485.

15)  Pya N.Y., Voinov V.G. (2002)  The non-uniqueness of a non-negative integer solution of

a system of linear Diophantine equations with applications to integer programming,

genetics, reliability, etc. Proceedings of a Third Int. Conf. on Math. Methods in

Reliability (June 17-20, 2002, Trondheim, Norway), NTNU.

16)  Nikulin M.S., Voinov V.G. (2002) On some chi-squared type criteria for the logistic,

exponential and normal distributions. Technical Report No. 0204 of University Victor

Segalen Bordeaux 2 – France, 13p.

17)  Voinov V.G., Pya N. (2002) On some business, radioecology and other applications of

neural net like algorithms. Technical Report No. 0205 of University Victor Segalen

Bordeaux 2 – France, 9p.

18)  Voinov V.G. et al (2001) Some remarks on environmental factors that affect companies’

supply chain operations in Kazakhstan . Central Asian J. of Econom., Manag.& Social

Research, No. 2, June 2001, pp. 91-103.

19)  Voinov V.G., Pya N. (2000) On unbiased estimation of the reliability and the hazard rate

for some probability models. Proc. Of the 2d Int. Conf. on Math. Meth. In Reliab.,

Bordeaux, France, Vol.2, 887-890

20)  Voinov V.G. et al (2000) Estimating environmental radioactive contamination in

Kazakhstan. Central Asian J. of Econom., Manag.& Social Research, Premier Issue, 59-71

21)  Voinov V.G., Nikulin M.S. (1996) Tables of the best possible unbiased estimates for

functions of parameters of multinomial and negative multinomial distributions.

J.Math.Sci., Vol.81, 2363-2367

22)  Voinov V.G. (1995) On an approach in the additive number theory. Doklady NAN RK,

N5, 9-15 (in Russian)

23)  Voinov V.G., Kikkarin S.M. (1994) On an enumeration of multipartite partitions.

Doklady NAN RK, N6, 40-46 (in Russian)

24)  Voinov V.G. et al (1988) Using automated system SI-2 for functional state of neitrophil

leucocytes. In: “Pathology of vessels and heart”, Minzdrav KazSSR, Alma-Ata, p. 107 (in

Russian)

24)  Voinov V.G. (1988) Some particular inversion formulas for Laplace  transforms and

their application when estimating parameters of probability distributions. “Zapiski

Nauchnikh Seminarov LOMI”, Vol. 166, “Nauka”, Leningrad, pp. 17-24

25)  Voinov V.G., Chasnikov I.Ya. (1988) Ecological problems and remote Earth control. In:

“All-union UNESCO Conference on “A human and Biosphere”, “Nauka” KazSSR, Alma-

Ata, p. 191 (in Russian)

26)  Voinov V.G., Chasnikov I.Ya. (1988) Some features of exotic baryon systems and the

problem of anomalons. Proceedings of the Third Int. Conf. on Nucl. Nucleus Collisions,

Saint-Malo, France,Amsterdam: North Holland. – 1988, p. 235

27)  Voinov V.G., Nikulin M.S. (1988) Best unbiased estimators of a statistical model for

integrated circuit quality control. Zavodskaya Laboratoriya, No. 7, pp. 88-94 (in Russian)

28)  Voinov V.G. et al (1986) Peculiarities of angle distributions of shower particles in  pA

      interactions. Izvestiya AN KazSSR. Ser. Phys. Math., No. 2, pp. 48-52 (in Russian)

29)  Voinov V.G. et al (1986) An automated real time system for nuclear emulsion

interactions’ energy characteristics measurement. Technical Report of HEPI AN KazSSR

No. 86-01, 37 p. (in Russian)

30)  Voinov V.G., Neumann A.R. (1986) An example of a new table for calculating

percentage points. In: “First Bernoulli Congress on Mathematical Statistics and

Probability Theory”, Tashkent, M., “Nauka”, Vol. II, p.522

31)  Voinov V.G., Kumganbayev M. (1986) On a geometrical approach to the derivation of

the probability density function of random variables. . In: “First Bernoulli Congress on

Mathematical Statistics and Probability Theory”, Tashkent, M., “Nauka”, Vol. II, p.896

32)   Voinov V.G. (1986) Unbiased optical density estimation based on a transmission

coefficient of the light flow. In: ”Automated Pattern Processing Systems ASOIZ-86”,

L’viv, M., “Nauka”, pp. 190-192 (in Russian)

33)   Voinov V.G. et al (1986) Lagrange’s method for finding quantiles and non-centrality

parameters of probability distributions. Theory of Prob. and Appl., Vol. 31, pp. 185-187

(in Russian)

34)  Voinov V.G., Nikulin M.S. (1984) The remark on the paper of Bol’shev and Mirvaliev

about the exponential model of emission of – particles. Theory of Prob. and Appl.,

Vol.20, pp.175-176

35)   Voinov V.G. et al (1984) An interface between the ionisation calorimeter and PC

“Electronika-100”. In: Automation of physical experiments for researching, Alma-Ata,

“Nauka”, pp. 5-10 (in Russian)

36)  Voinov V.G. et al (1984) An automated system SI-2 for half-tone images processing.

Technical Report of HEPI AN KazSSR No. 84-26, 37 p. (in Russian)

37)   Voinov V.G. (1984) An unbiased parameter estimate of the double-truncated

distribution and its application in the relativistic nuclear physics. Theory of Prob. and

Appl., Vol. 29, pp. 171-173 (in Russian)

38)   Voinov V.G. (1983) On an application of unbiased sufficient estimators in some

physical problems. Theory of Prob. And Appl., N3, 615-616 (in Russian)

39)  Voinov V.G. (1982) The weighted mean as a method of measurements’ combining.

Metrology, No. 6, pp. 3-9 (in Russian)

40)   Voinov V.G., et al (1982)  Without-reduction electric drive’s moving for automated

high precision devices. Pribori i Technika Experimenta, No. 2, p. 220 (in Russian)

41)  Voinov V.G., Chernyavsky M.M. (1979) Some systematic errors of charge particles’

moments and take-off angles in nuclear emulsions. Trudy PhIAN SSSR, Vol. 108, pp.

166-172 (in Russian)

42)  Voinov V.G. et al (1979) An application of a non-synchronous electric motor with a

hollow cylindrical rotor for the high-precision measurement table control. Pribori i

Technika Experimenta, No. 5, pp. 258-266 (in Russian)

43)  Voinov G.G. et al (1978) An automation of film information treatment under high

energies. “Nauka” AN KazSSR, 131 p. (in Russian)

44)  Voinov V.G. et al (1975) Energy characteristics of – nucleus interactions under 50

Gev. Pis’ma v JETPF, Vol. 22, pp. 56-61 (in Russian)

45)  Voinov V.G. et al (1974) On a thermodynamic description of adrons’ interactions under

accelerator energies . In: “High energy physics and cosmic rays”, “Nauka”, Alma-Ata,

pp. 90-105 (in Russian)

46)   Voinov V.G. et al (1974) On charge particles momentum determination by the curvature

of their trajectories. Izvestiya AN KazSSR. Ser. Phys. Math., No. 4, pp. 197 (in Russian)

47)   Voinov V.G. et al (1972) On the influence of the sample size and restrictions on cross

displacement when estimating multiple coulomb scattering. Izvestiya AN KazSSR. Ser.

Phys. Math., No. 4, pp. 1-6 (in Russian)

48)  Voinov V.G. et al (1971) Inelastic pion-nucleus interactions at 7-60 Gev. In.:”High

energy physics and cosmic rays”, Alma-Ata, “Nauka”, pp.120-140

49)  Voinov V.G. et al (1970) Characteristics of coherent interactions of – mesons in

nuclear emulsions under 60 Gev. Dokl. AN SSSR, Vol. 194, pp. 544-546 (in Russian)

50)  Voinov V.G. et al (1970) 60 Gev pion’s momentum measurements in nuclear emulsions.

Izvestiya AN KazSSR. Ser. Phys. Math., No. 4, pp. 85-89 (in Russian)

51)  Voinov V.G. (1968) On a method of eliminating the random errors. Izvestiya AN

KazSSR. Ser. Phys. Math., No. 4, pp. 61-66 (in Russian)

52)  Voinov V.G., Chasnikov I. Ya. (1967) On correlation properties of the spurious

scattering in nuclear emulsions.  Izvestiya AN KazSSR. Ser. Phys. Math., No. 4, pp. 3-8

(in Russian)

Last International Conferences participation and proceedings:

1) Voinov, V. (2015) 115 Years’ jubilee of the Karl Pearson’s chi-squared test.

III Scientific-applied conference “Statistics and its Applications” Tashkent 2015, 1-10.

2) Voinov, V., Pya, N., Makarov, R., Voinov, Y., Rakhimova, R. (2015) Vector-valued tests

for multivariate normality.  III Scientific-applied conference “Statistics and its

Applications” Tashkent 2015.

3) Voinov, V., Makarov, R. (2014) On 21st Century’s misusing of the classical Pearson’s sum

and power divergence statistics. 3rd SMTDA Conference Proceedings, p.769, 11-14 June

2014,  Lisbon, Portugal.

4) Voinov, V., Pya, N., Makarov, R. & Voinov, Y. (2013). A new invariant and consistent

chi-squared type goodness-of-fit test for multivariate normality. In JSM 2013

     Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical

Association. 425- 439.

5) Voinov, Y. (2013). A Wald’s type goodness-of-fit test for binormality. In JSM

    2013 Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical

Association. 611-624.

6)  IABE-2012 Las Vegas – Annual Conference, Circus Hotel-Casino, Las Vegas, USA,

October 14-17, 2012. The talk: Voinov, V., Pya, N., Makarov, R., Voinov, Y.

“Goodness-of-fit tests for two-dimensional circular normal probability distribution”.

7) Applied Stochastic Models and Data Analysis. June 7-10, 2011, University of Rome,

Italy. The talk: Goodness-of-fit tests for the Power Generalized Weibull probability

distribution pp. 1395-1401.

8)   JSM 2010, Joint Statistical Meeting of the American Statistical Association. Vancouver

BC, Canada, Jul. 31-Aug. 5, 2010. The talk: The Chi-squared Test and Modifications:

From 1900 to 2010.

9)   7th World Congress in Probability and Statistics. Singapore, July 14-19, 2008. The talk:

     V. Voinov “A decomposition of Pearson-Fisher and Dzaparidze-Nikulin chi-squared

goodness-of-fit statistics and some ideas for a construction of the more powerful test”.

10)   JSM of the American Statistical Association. Denver, Colorado, August 3-7, 2008. The

     talk: “New modified chi-squared goodness-of-fit tests and their application in particle

physics and political science”.

11)  The 12th Int. Conf. On Applied Stochastic Models and Data Analysis (ASMDA 2007).

May 29-31, June 1, 2007 – Chania, Crete, Greece. Two talks: V.Voinov, M.S.Nikulin,

N.Pya “Independent distributed in the limit components of some chi-squared tests”

and V.Voinov, N.Pya “A note on vector-valued goodness-of-fit tests”.

12)   ALT 2006, Int. Conf. on Degradation, Damage, Fatigue and Accelerated Life Models in

Reliability Testing, May 22-24, 2006 – Angers, France. The talk V. Voinov, R.

Alloyarova, N. Pya “A modified chi-squared test for the three-parameter Weibull

distribution and its applications in reliability”.

13)   BIOSTAT 2006, Int. Conf. on Statistical Methods for Biomedical and Technical

Systems, Limassol, Cyprus, May 29-31, 2006. Talks: R. Alloyarova, M. Nikulin, N. Pya,

V. Voinov “ The power-generalized Webull probability distribution and its use in survival

analysis”,  Ya. Lumelskii, V. Voinov, M. Nikulin, P. Feigin “Unbiased estimators for the

multivariate Polya distributions”.

14)   ASIM 2003, Int. Conf. “Advances in Statistical Inferential Methods: Theory and

Applications”, June 9-12, 2003, KIMEP, Almaty. Invited talk Voinov V., Naumov A. and

Pya N. “Some recent advances in chi-squared testing”, Talks: Vlasov O., Voinov V., Kini

R. and Pya N. “A multivariate statistical model of a firm’s advertising activities and their

financial implications”, Novak M., Voinov V. and Py N.”Probabilistic and neural network

descriptions of radioactive fields” and Voinov V. and Pya N.”On some business and other

applications of neural net like algorithms”.

15)   MMR 2002, Third Int. Conf. on Mathematical Methods in Reliability, June 17-20 2002,

Norwegian University of Science and Technology, Trondheim, Norway. The talk Pya

N.Y., Voinov V.G “The non-uniqueness of a non-negative integer solution of a system of

linear Diophantine equations with applications to integer programming, genetics,

reliability, etc. Proceedings of a Third Int. Conf. on Math. Methods in Reliability”.

16)  MMR’2000, Second Int. Conf. on Mathematical Methods in Reliability, July 4-7 2000,

University Victor Segalen-Bordeaux 2, Bordeaux, France. Invited talk V.G.Voinov

“Unbiased estimation in reliability problems”.

17)  4th Int. Conf. on Lattice Paths Combinatorics and Applications, July 8-10 1998,

University of Vienna, Vienna, Austria. Invited talk V.G.Voinov, M.S.Nikulin “On a class

of multivariate discrete distributions induced by an urn scheme and linear Diophantine

equations related to it”.

18)   Int. Conf. on Combinatorial Methods and Applications to Probability and Statistics,

June 25-28 1997, McMaster University, Hamilton, Canada. Invited talk V.G.Voinov,

M.S.Nikulin “On a subset sum algorithm and its probabilistic and other applications”.

Inventions

1)  Voinov V.G. et al (1988) A numerical photometer. The author certificate N1423918

(USSR). Inventions Bulletin N34.

Software

1) N. Pya , V. Voinov , R. Makarov , Y. Voinov (2016) mvnTest: Goodness of fit tests for multivariate normality.  R-package, version 1.1-0, CRAN.

Teaching  Courses Taught :

1) Quantitative Methods for Decision making (master students)

2) Business Quantitative Methods (bachelors)

3) Business Statistical Analysis (bachelors)

4) Project Management (masters)

5) Inventory Management (masters)

6) Advanced Quantitative and Statistical Methods (masters)

7) Business Time Series Forecasting (masters)

8) Quantitative Analysis (DBA)

9) Advanced Research Methods (DBA)

10) Business Time Series Research Methods (DBA)

11) Research Methods II (DBA)

12) Business Research Methods (MBA)

Grants ·      [1996-1998] INTAS-Kazakhstan grant.

·      [2012-2014] Grant of MES RK.

·      [2015-2017] Grant of MES RK.


Shazada-Muhammad-Umair-Khan

Shazada Muhammad Umair Khan, Ph.D.

Assistant Professor

More:

Educational Background and Bio:

BEng. (NED University of Engineering and Technology, University Road, Karachi) (December 2007)

Industrial and Manufacturing Engineering

Master (2013)

Industrial and Management Engineering

Major: In-Car Driver Behavior

Department of Industrial and Management Engineering, Hanyang University, Seoul, South Korea.

Ph.D. (2018)

Industrial and Management Engineering

Major: Human Automation Interaction

Department of Industrial and Management Engineering, Hanyang University, Seoul, South Korea.

Dissertation: Formal Modelling and Analysis of User and Supervisor Interface using TZ-Automaton Through Weak Bi-Simulation.

Research Interest:

Human-Computer, Human-Automation Interactive Systems
Information Delivery, Diffusion, and Retrieval
Discrete Event System Modeling & Control
Simulation and Modelling
Formal Methods
Smart Manufacturing
Smart Healthcare System
Service Modeling & Testing
Pervasive Computing Applications
Computer Integrated Manufacturing Systems
Driver Behavior Using Simulator Based and Real Time Experimental Analysis with Driver Safety.

Experience and Major Appointments

Plant Manager for Weld, Assembly Plant and Services (TOYOTA Plant) (12 2007~08 2011) Material management, Weld, Paint, Assembly, Product Quality, Product Development (Front, Rear, Underbody, right (Front and Rear) and Left (Front and Rear) side.

Hyundai Project Management Department, Asan Korea, (07 2013~08 2013)

Working on Human Behavior and Decision Process Simulation Technology, Agency for Defense Development (ADD), 2012.7-2015.6.

Working Developing an Affordance-based Human Intervention Model for Decision-Making of Accident Handling in Safety-Critical Systems, National Research Foundation (NRF), Sept. 2011- Aug. 2014.

Publications

  1. Khan, S. M. U., & He, W. (2018). Formal Analysis and Design of Supervisor and User Interface Allowing for Non-Deterministic Choices Using Weak Bi-Simulation. Applied Sciences8(2), 221. [Accepted]
  1. Khan, S. M. U., & He, W. (2018). Formal modeling and verification of a part manufacturing systems using FSZ-automaton with CLS criteria. The International Journal of Advanced Manufacturing Technology, 1-12. [Accepted]
  1. Khan, S. M. U, & Park, J. S. (2014). An Investigation of Shear Wall of Moen-Jo-Daro Using Mechanical Properties. Virtual Archaeology Review5(10), 127-139. [Accepted]
Edited and Refereed Proceedings

Khan.S, (2012), “Affordance based system modelling of human involved in a complex system of subway South Korea”, Crowed and Cloud HCI 2012, Seoul, South Korea.

Khan.S, (2014), “Prediction of Student Blood Pressure by Support Vector Machine using Facebook”, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, May 21-24, 2014.Anchorage, Alaska, USA.

Khan.S, (2014), “Predicting student’s blood pressure by Artificial Neuron Network”on 27TH August 2014. IEEE Conference on Science and Intelligent Systems, London, England.

Khan.S, (2015), “Invited talk in DELL Summit Solution in Seoul, Korea”

Selected Scholarships and Awards

A.O.T.S (Association for overseas technical scholarships) TOYOTA Manufacturing Plant, TOYOTA City, Japan.

Erasmus Mundus Scholarship: For research purpose.

Six Sigma Black Belt, SQII, Singapore by TOYOTA Motor Company, Japan.

Part time reviewer of IEEE Access, MDPI Sections and IEEE Transaction on Intelligent Transportation.

Professional Affiliations and Societies

ASHRAE  (American Society for Heating and Refrigeration and Air Conditioning)

ASME        (American Society of Mechanical Engineering)

IIE             (Institute of Industrial Engineer)

APQTF     (Asia pacific quality task force)

AOTS       (Association for overseas technical scholarships)

IEEE         (Institute of Electrical and Electronics Engineers)

SQII          (Singapore institute of quality)

ASQ (America society of quality)

KIHA        (Korean institution for Healthcare Architecture)


Soohyun-Jeon

Soohyun Jeon, PhD

Assistant Professor

More:
Name Soohyun Jeon
Position Senior lecture of Information Systems in Business
Contact detail isshjeon@gmail.com
Education background Ph.D. in Management Information System, Korea University, South Korea

M.S. in Information System, Yonsei University, Graduate School of Information Systems, South Korea

B.B.A. in Business Administration, Yonsei University, South Korea

Overview I am a Senior Lecture of Information Systems in Bang College of Business, KIMEP University. I received Ph.D. in Business administrator from Korea University. My primary research interest is cybersecurity/information security, gamification, digital business, online community, design science in Information System area. My currently research focuses on bring knowledge from different field to gain novel theoretical insights on improving the security behavior, which is derived from IT artifact.
Research Interests ·          Cybersecurity/Information Security: Information security policy compliance behavior, Hacker Behavior, Risk assessment

·          Business analytics: Quantitative method for decision making in business area.

·          Digital business: Platform business, Sharing Economy, marketing strategy, IT business model

·          IT issue and Trend: Analyzing the emerging IT issue (e.g., Block Chain, Bit coin)

·          Online community: Exploring online community member behavior

·          Gamification: Identifying and examine method for enriching organization behavior

·          Design science: Developing new tools for enriching system user behavior

Selected Publications Articles

 

·          Jeon, S.H., Hovav., A., Han., J.Y. and Alter., S. “Rethinking the prevailing security paradigm: Can user empowerment with traceability reduce the rate of security policy circumvention?” – The data base for Advances in Information Systems (Forthcoming)

 

International Conference Papers (Refereed Proceedings)

 

·          Jeon, S.H. and Hovav., A. (2018) “A novel method to enhance ISSP compliant: An approach drawing upon the concept of empowerment in ERM system workflow”, The 51th Hawaii International Conference on Systems Sciences, Big Island of Hawaii, USA, January, 2018

·          Jeon, S.H., Han., J.Y. and Hovav., A. (2017) “Do not push your employees and give them freedom: intrinsic motivation through a case of enterprise digital rights management system”, International Conference on Information System(ICIS) SIGSEC WISP, Seoul, Korea, December, 2017

·          Jeon, S.H., Lee., H. W. and Hovav., A. (2016) “Psychological Empowerment, Job Position and Awareness of Audit influence on Information Security Policy Compliance Intention.”, The 20th Pacific Asia Conference on Information Systems, Taiwan, July, 2016

·          Jeon, S.H. and Hovav., A. (2014) “Empowerment or Control: Reconsidering Employee Security Policy Compliance in Terms of Authorization.”, The 48th Hawaii International Conference on Systems Sciences, Kaui of Hawaii, USA, January, 2014

Teaching Courses Taught (As of 2013)

·         Management Information System

·         Digital Business

·         Business Software Practice

·         Business Database Management

Grants ·          2018 PhD Student Conference Travel Funding Grant, Value: $2,000

·          2017 The IBRE Distinguished Research Award, Korea University, Value: $500

·          2015 PhD Student Conference Travel Funding Grant, Value: $2,000

 


Uldana-Baizyldayeva-1

Uldana Baizyldayeva, Ph.D

Assistant Professor

More:
Name Uldana B.Baizyldayeva
Position Assistant Professor of  Information Systems
Contact detail bdana@kimep.kz, ex) 2075
Education background PhD (Information Systems), K.Satpayev Kazakh National Technical University, the Republic of Kazakhstan, University of  Aveiro, Portugal

MSCS (Computer & Software Engineering), K.Satpayev Kazakh National Technical University, the Republic of Kazakhstan

Higher Education Diploma (math, physics, computer science),  KOPI,  the Republic of Kazakhstan

Overview Research interests focus on studying

·         Decision Support methods, tools, models and systems

·         Big data analytics

·         Business Intelligence Systems

·         Cloud services and models

·         Digital graphics models. Vector & bitmap graphics applications in business

Research Interests Mathematical, statistical, optimization methods applications in software enginnering

Panel, multi-panel big data processing

Intelligence systems applications in  processing & visualized reporting for business

Artificial intelligence. Neural networks applications in data processing

Cloud SaaS, PaaS utilization in business and research

Asymmetric functions applications in stream-coding methods

Selected Publications H-index=3

https://scholar.google.com/citations?user=AoNA3ssAAAAJ&hl=en

 

Some  publications in indexed journals+:

1. Multi-criteria decision support systems: comparative analysis,

Middle-East Journal of Scientific Research 16 (12), 1725-1730

   
2. Decision Making Procedure: Applications of IBM SPSS Cluster Analysis and Decision Tree

World Applied Sciences Journal 21 (8), 1207-1212

   
3. Decision steps on adoption of learning management systems in Kazakhstan: Perspectives for improving studying efficiency World Applied Sciences Journal 23 (3), 376-382    
4. Corporate Governance and Firm Value of Kazakhstani Companies in the Conditions of Sanctions Against the Russian Federation International Conference on Management, Leadership & Governance, 399

5. Baizyldayeva Uldana, Utepbergenov I.T.Nurmagambetova G.Y.Cloud Computing. Perspectives in Kazakhstani Higher Educational System Bulletin of  KISatpayev Kaz NRTU. August 2014, p.212-218

6. Baizyldayeva Uldana, Utepbergenov I.T.Experience of implementing an open-source e-learning platform MOODLE  Bulletin of  D.Serikbayev EKSTU, №4, 2014

7. Baizyldayeva Uldana, Utepbergenov I.T.,  Iskakova A.M.Multi-criteria decision making fuzzy theory method approach to the selection of the most effective e-learning platform, Bulletin of   M.Tynyshpayev KazATC  004.4(681.3) №5  2014 p.132-135

8. Baizyldayeva U.B., Uskenbaeva R.K., Utepbergenov I.T., Beisembekova R.N “Cloud Computing. Perspectives in Kazakhstani Higher Educational System”,  Bulletin of  KISatpayev Kaz NRTU, 2014.

 

Conferences proceedings:

1. Baizyldayeva Uldana , “The Role of Technology in Operations: Enterprise resource planning – ERP systems. Cloud based ERP”, Proceedings of the MIC – Vis, 2016, Mediterranean Islands Conference, Croatia, The Island of VIS

2. Baizyldayeva Uldana, A. K. Muslimova, M. Kh. Ishimova, B. S. Kubekov, I.T.Utepbergenov The use of multi-paradigm approach to knowledge modeling, 3-rd International conference “Innovation challenges in multidisciplinary research & practice”, Singapore, 15-16 December, 2015

3. Baizyldayeva Uldana, Berkimbayeva S.B., Cloud It Services For Higher Education

International conference proceedings, May, 2015

4. Baizyldayeva Uldana, Nurmagambetova Guliya,  Applications of IBM SPSS Cluster Analysis and Decision Tree for Effective Decision Making, International Conference on eBusiness and eGovernment” (ICEBEG) – 2013, Izmir, Turkey, May, 2013

5. Baizyldayeva Uldana, Berkimbayeva S.B., Business  university  IT  course  integrity  issues, International Research Forum on  Academic Integrity Nazarbayev university, KAZGUU, Astana, 19-20 May, 2016

6. Baizyldayeva Uldana, Utepbergenov I.T Cloud based E-learning  platforms: some practices for  higher educational processes, Proceedings of the International Research-practical Conference Mathematical Methods and Information Technologies of Macroeconomic Analysis and Economic Policy, K.I.Satpayev, Almaty, 11-12 April, 2017

7. Baizyldayeva Uldana “Systems of electronic education” Proceedings of the International Research-practical Conference “Economics and management of education: Global context and Kazakhstani realities” Abylai-khan KazSUIR&FL,  Almaty,  20 April, 2012, p.323-324

8. Baizyldayeva U.B., Syundukova R.B, Fidirko N.Y., Bragina L.V.,  “Utilizing of distance learning systems at IT courses”, Proceedings of the  second seminar-conference “Integration of chemical science and industry through innovation to progress” Al-Farabi Kazakh National University, Almaty, 24-26 May 2012, p. 19-22

9. Baizyldayeva U.B., Uskenbayeva R.K., Utepbergenov I.T., “Perspectives of cluster analysis for effective decision making using statistical approach with IBM SPSS 19”. The Proceedings of  the International Scientific-Practical  Conference “Information and Telecommunication Technologies: Education, Science and Practice”, devoted to the 50-th anniversary of the Institute of information and telecommunication technologies, I volume, K. Satpayev, KazNTU, 5-6 December 2012 p.258-260

10. Uldana Baizyldayeva, Nadezhda Y.Fidirko Rimma B.Suyndukova,  Simulation Models with MS Excel modules and tools, Proceedings of the 13th KIMEP International Research Conference Bang College of Business Almaty, Kazakhstan April 8-9, 2016 Conference Theme: Economic integration along the New Silk Road Opportunities and Challenges

11. Oleg Vlasov, Uldana Baizyldayeva, Emerging Information Technologies: A Way of Sustaining Competitive Advantage in Business, 12th KIMEP International Research Conference (KIRC) 2015 Bang College of Business Almaty, Kazakhstan April 3-4, 2015 Conference Theme: Global Competitiveness and Economic Growth in the 21st Century: Challenges and Opportunities. Conference proceedings

Teaching Current Courses Taught

·         Management Information Systems

·         Information & Communication Technologies

·         Business Graphics

·         Decision Support Systems

Grants ·         Erasmus+ teaching mobility,  Thomas Bata  university, Czech Republic

·         Erasmus+ teaching Mobility, Opole university of Technology, Poland, 2018

Awards ·         Certificate of  Appreciation  from Ministry of Science & Education of the  Republic of Kazakhstan, 2007

·         Certificate of Appreciation from Dr. Chang Young Bang, 2013

·         Academician of  International Informatization Academy – IIA


Oleg Vlasov, KIMEP University, Almaty, Kazakhstan

Oleg Vlassov, MBA, Ph.D. Candidate

Senior Lecturer

More:

Oleg Vlasov, MBA, Senior Lecturer

Oleg Vlasov is a Senior Lecturer of Information Systems and Accounting courses at the Bang College of Business, KIMEP University. Oleg joined the University faculty after receiving MBA degree. He has working experience as Financial Manager and Accountant. Currently, he teaches courses in Information Technology, Accounting and Management. Oleg has been actively involved in activities and development of the college – participated in creation of the first issue of KIMEP Yearbook, developed and has supported the department’s website, as well as developed online content for information systems courses. He is the author of numerous publications in scientific journals and international research conferences, as well as author of 1000+ pages of methodological materials for computerized accounting course on the basis of 1C: Enterprise 8.2. His research interests areas are business process optimization, E-learning, security of Information Systems, and development of business cases for Information Systems courses. The main mission is sharing his experience and knowledge to others through teaching, research, and participation in international research activities.

Contact information

050010, 2 Abai ave., Almaty, KIMEP University.
office: 418/adm.
e-mail: olegvl@kimep.kz
phone: (727) 270-44-40 ext. 2064

Courses taught

IS 5211/IS 3211/ACC 3212 Accounting Information Systems (master and bachelor students)
IS 5201/IS 2203 Management Information Systems (master and bachelor students)
IS 2201 Computer Applications in Business
GEN 2301 Business Computer Applications
GEN 1300 Introduction to Computers
Enterprise Information Systems
Introduction to Information Systems
Introduction to Computer Science and Information Technologies
Accounting II
Fundamentals of Business Administration

Teaching/Research Interests

Teaching Interests:

  • Accounting Information Systems
  • Spreadsheet Based Decision Making, Simulation, and Financial Modeling
  • Algorithms and Data Structures
  • Programming Languages

Research Interests:

  • Business processes optimization
  • E-Learning
  • Computer aided Decision Support Systems (DSS)
  • Cloud services
  • Enterprise Resources Planning (ERP) systems
  • Computerized accounting technologies
  • Security of Information Systems
  • 3D technologies

Education:
MBA, Kazakhstan Institute of Management, Economics and Strategic Research (KIMEP), Major: Finance and Accounting, 1998-2001.

Diploma with Highest Honors in Economics and Management, Kazakhstan Academy of Transport and Communications, Department of Economics, Degree: engineer-economist, 1993-1997, GPA: 4.9/5.0 (equivalent to “Summa Cum Laude”) (in the list of top 3% of graduates)

Winner of the Golden Medal (Certificate of Special Standard) (equivalent to “Altyn Belgi”) for academic excellence, GPA: 5.0/5.0 (the best score among all graduates)

Publications in Scientific Peer-Review Journals (PRJs)

Baizyldayeva, U., Vlasov, O., Utepbergenov, I.T. (2013) “Decision Steps on Adoption of Learning Management Systems in Kazakhstan: Perspectives for Improving Studying Efficiency”, World Applied Sciences Journal 23 (3): pp.376-382, ISSN 1818-4952.

Selected International Research Conference Proceedings

1) Baizyldayeva, U., Vlasov, O. (2013) “Comparative Analysis of Multi-Criteria Decision Support Systems”, in Proceedings from First Eurasian Conference on Applied Sciences 2013 (ECAS ’13), October 19-20, Park resort “Eight Lakes”, Almaty.

2) Vlasov, O. (2013) “Anti-Plagiarism Software: Perspectives for Implementation in Institutions of Higher Education in Kazakhstan”, in Proceedings from Xth KIMEP International Research Conference (KIRC 2013) “Central Asia in the Global Community: Challenges and Opportunities”, Almaty, April 4-6, ISBN 9965-9047-5-8, pp. 158 – 161.

3) Vlasov, O., Suyundukova, R., Fidirko, N., Bragina, L., Zaitseva, M. (2013) “Efficiency of Introducing Learning and Course Management Systems in Kazakhstan: Comparative Study”, in Proceedings from Xth KIMEP International Research Conference (KIRC 2013) “Central Asia in the Global Community: Challenges and Opportunities”, Almaty, April 4-6, ISBN 9965-9047-5-8, pp. 152 – 157.

4) Vlasov, O. (2013) “Securing Private Information in Social Networks: Risks and Challenges in a New Information Age”, in Proceedings from Xth KIMEP International Research Conference (KIRC 2013) “Central Asia in the Global Community: Challenges and Opportunities”, Almaty, April 4-6, ISBN 9965-9047-5-8, pp. 148 – 151.

5) Suyundukova, R., Fidirko, N., Zaitseva, M., Bragina, L., Vlasov, O. (2012) “Distance Learning in a Teaching Process”, in Proceedings from IX KIMEP International Research Conference (KIRC 2012) “Central Asia: Regionalization vs. Globalization”, Almaty, April 19-21, pp.154 – 155.

6) Vlasov, O., Voinov, V. (2006) “On Optimizing Advertising Activities of a Company”, in Proceedings from V Annual KIMEP International Research Conference “Changing Society through Research and Practice”, Almaty, pp. 155 – 161.

7) Vlasov, O., Voinov, V., Kini, R., Pya, N. (2003) “A Multivariate Statistical Model of a Firm’s Advertising Activities and their Financial Implications”, in Proceedings of the International Conference “Advances in Statistical Inferential Methods: Theory and Applications”, June 9-12, 2003, KIMEP, “Gylym”, Almaty, pp. 471 – 476.

Working Experience

  • Served as Acting Chair of Operations Management and Information Systems Department
  • 12 years of uninterrupted teaching experience at the Western-style University/Institute
  • Taught required and elective/specialization courses for full-time Master (graduate) and Bachelor (undergraduate) students, as well as elective courses for graduate students of the College of Continuing Education (CCE).
  • Has developed more than 1,000 pages of copyright methodological materials for the course “Accounting Information Systems” (based on 1C: Accounting 8.2)
  • Has worked as Financial Manager and Accountant in a closed joint-stock company/joint venture with U.S. contribution.

Community Service

  • Assisted in the organization of KIMEP International Research Conference;
  • Has served as a member of the following committees: “Tenure and Promotion Committee”, “Curriculum and Academic Integrity (CAI) Committee”, “Academic Planning and Scheduling Committee”, “B.Sc. Program Committee”, “Budgeting Committee”, and “Students Disciplinary Committee”.
  • Developed and maintained the department section of KIMEP website;
  • Participated in updating College section of KIMEP website;
  • Maintains a system of online testing, file and web servers of the Department;
  • Participated many times in preparation of students for passing Interim Tests and state Exit Tests (in the field “Informatics”) held by the Ministry of Education and Science (MES), worked as a member of Appeal Committee for considering appeals of students; created a computerized system for automatic calculation of tests results.
  • Prepared materials for academic subjects offered by the Department for the Annual KIMEP catalog;
  • Took an active part in attracting students to courses offered by the department, and in preparation of promotional materials for prospective students;
  • Took part in numerous Open House Days hosted by KIMEP University, created promotional presentations for attracting prospective students;
  • Leaded a section of KIMEP Sunday English Club – aiming to provide free study of English to schoolchildren of Almaty;
  • Participated in creation of the first KIMEP Yearbook.

Professional Qualifications and Certificates

  • Knowledge of international (IAS/IFRS) and national (NFRS) accounting standards, Tax Code of the Republic of Kazakhstan, as well as current accounting and tax legislation of Kazakhstan.
  • Additional specialties: Accountant (Certificate), User of 1C: Accounting software (Certificate)
  • Level 2 Certificate in Business Writing (London Chamber of Commerce and Industry) – passed with Distinction
  • First Certificate in English (FCE) (British Council), 2001.

Letters of Appreciation

Letter of Appreciation from Undergraduate Admissions Office for successfully leading a section of KIMEP University Sunday English Club for schoolchildren of Almaty.

Sports
Oleg is an active dancer and participant of performances in sports ballroom dancing, he also studied modern dance choreography
.

Coaches: Nikolay Zhuk, Natalia Klimenchuk (Dance club “Fiesta”) (current), Valentina Evseeva, Kuat Mirhamit (DSC “Raduga”) (current); Yelena Kibler, Irina Burtovenko, Richard Rakhmatulin, Bakhtiar Ashirov (Dance school “Vivat”), Elena Galyandina, Liliya Harchilina (DSC “Telemark”), as well as coaches of DSC “Kamelliya”.

See: Oleg Vlasov, Xeniya Efremova – “Paso Doble” – Performance at the Gala Show of “Star Waltz 2013” Dance Competition (23.06.2013), Almaty, Kazakhstan. (original video filmed in 3D)

See also on Google:  “Олег Власов” пасодобль

Other sports: track and field, rifle shooting (have sports category), Greco-Roman wrestling.


Yevgeniya Kim (2)

Yevgeniya Kim, MBA, DBA Candidate

Senior Lecturer

More:

Senior Lecturer

Education:

DBA student, KIMEP University, 2011-present

ABD Status, Chonbuk National University, MIS and Operations Management, 2001-2003

MBA, KIMEP University, Production and Operations Management, 1998-2000

B.S. in Economics, Taraz State University, Honor Diploma, 1994-1998

Work experience:

Senior Lecturer, KIMEP University, OMIS Department, 2003-present

Business consultant, “Mimioriki”, Almaty, Kazakhstan, 2011-2012

Guest researcher, TU/e, School of Industrial Engineering Innovation, Technology Entrepreneurship & Marketing Group 2009-2011

Business consultant, “Aura plus”, 2009-present

Consultant, “Real Estate Ltd.”, Almaty, Kazakhstan, 2005-2008

International Researcher, IFR Program, Chonbuk National University, S. Korea, Research field: “Rapid growth in Korean economy”, 2000-2001

Сourses taught at KIMEP:

Management Information Systems, Business Intelligence (ExMBA), Operations Management, Logistics Management, Transportation and Distribution Management, Computer Applications in Business, E-commerce, Internet marketing, Total Quality Management,  Spreadsheet based Simulation

Research interests:

E-commerce, Internet, Social Network Sites, Social Media Supply chain management, Operations Management

Conference proceedings:

  1. Elmira Bogoviyeva & Yevgeniya Kim (2012), “The Successful Launch of the Kazakhstani Children’s Clothing Brand Mimioriki”, Proceedings of Academy of Marketing Conference 2012, Southampton, UK, July 2-5
  2. Tatyana Domashenko, Elmira Bogovieva, Yevgeniya Kim (2012), Social Media in Marketing Activ ities of Kazakhstani Companies”, Proceedings of Academy of Market5ing Conference 2012, Southampton, UK, July 2-5 (poster presented).
  3. “Interaction between Personality, Social networking sites, leisure activities and Academic performance in Kazakhstan”, 9th Annual KIMEP International Research Conference, KIRC-2012, April, 19-21, Almaty, Kazakhstan
  4. “Two Lines of Defense for Overcoming Product Deficiencies: Dealing with the Effects of Accelerated NPD and Newness on Product Quality”, Global Conference on Business and Finance, January, 2-5, 2011, Las Vegas, Nevada, USA
  5. “NPD acceleration: trade-off between product failure and recovery strategies”, European Marketing Academy (EMAC), conference, June 1-4, 2010, Copenhagen Business School, Denmark
  6. “Mobile ads from customer perspectives: Kazakhstani case”, conference paper, International conference Transcending Horizons through Innovative Global Practices, December 28-31, 2007, Hyderabad, India
  7. “The forming of e-government: experience of Kazakhstan”, conference paper, International Conference on Advances in the Internet, Processing, Systems, and Interdisciplinary Research, IPSI-2007, April 28 – May 1, 2007, Venice
  8. “E-commerce adoption in Transition country: Kazakhstan”, conference paper, International Conference on Advances in the Internet, Processing, Systems, and Interdisciplinary Research, IPSI-2005, April 28 – May 1, 2005, Costa Brava, Spain

Professional Qualifications and Certificates:

2010                            Certificate in Technology Entrepreneurship & Innovation Management, Eindhoven, TU/e

2009                            Certificate “Course Design”, TU/e

2002                            Certificate of scholarship from Overseas Korean foundation, S. Korea

1998                            “Case analysis in Small business entrepreneurship”, California State University”

Contact information:

Tel: 270-44-40 Ext: 2017
Office: 316 / Dostyk bld
Email: ydk@kimep.kz