OP5203 Operations Research

OP5204 Project Management

OP5205 Supply Chain Logistics Management

OP5206 Spreadsheet Based Decision Modeling

OP5207 Total Quality Management

OP5208 Purchasing and Materials Management

OP5209 Transportation and Distribution Management

OP5210 Business Process Management

OP5211 Business Time Series Forecasting

OP 5212 Game Theory Approaches to Bargaining, Conflict, and Negotiation

OP 5213 Queuing Models and Markov Chain Models

OP5215 Technology Management

OP5235 Service Operations Management

OP5255 Strategic Operations and Supply Chain Management

OP5260 Selected topics in Operations Management

OP5205 Supply Chain Logistics Management

OP5208 Purchasing and Materials Management

OP5209 Transportation and Distribution Management

OP5204 Project Management

IS5210 Software Project Management

OP5215 Technology Management

OP5260 Selected topics in Operations Management

OP5206 Spreadsheet Based Decision Modeling

OP5211 Business Time Series Forecasting

OP5012 Game Theory Approaches to Bargaining, Conflict and Negotiation

OP 5013: Queuing Models and Markov Chain Models

IS5201 Management Information Systems

Concentration in Information Systems requires both core courses and any five courses from the list below:

IS5202 Business Intelligence - Data warehouse & data mining

IS5203 Telecom Management

IS5204 Decision Analysis & Decision Support Systems

IS5205 Management of E- Business Systems

IS5206 Business Modeling and Simulation

IS5207 Enterprise Resource Planning (ERP)

IS5208 E-Commerce

IS5209 Electronic Business Network for Financial Management

IS5210 Software Project Management

IS5211/3211 Accounting Information Systems

IS5212 Management of IT Enabled Services.

IS5213 E- Customer Relation Management

IS5214 Information Systems Development- Managing Global Environment.

IS5215 Knowledge Management

IS5202 Business Intelligence- Data warehouse & data mining

IS5205 Management of E- Business Systems

IS5208 E-Commerce

IS5213 E- Customer Relation Management

IS5204 Decision Analysis & Decision Support Systems

IS5207 Enterprise Resource Planning (ERP)

IS5214 Information Systems Development- Managing Global Environment.

IS5210 Software Project Management

IS5211/3211 Accounting Information Systems

IS5209 Electronic Business Network for Financial Management

IS5207 Enterprise Resource Planning (ERP)

IS5214 Information Systems Development-Managing Global Environment.

The course aims to develop the student's ability to understand and apply basic quantitative and statistical methods in business and economics. It will cover such important topics as elements of the probability theory, sampling surveys, statistical modeling, hypotheses testing, non-parametrical methods, regression analysis, analysis of variance, decisions making and time-series forecasting, including the neural network approach.

This course helps students to develop the skills and concepts needed to ensure the ongoing contribution of a firm’s operations to its competitive position. It helps them to understand the complex processes underlying the development and manufacture of products as well as the creation and delivery of services. The students will understand the importance of production and operations management in all organizations. The course covers such areas as P/OM integration in the organization, productivity, forecasting, total quality management, product planning, capacity planning, scheduling, production layout, project planning, world-class manufacturing, just-in-time operations, time-based competition, business re-engineering and operations strategy.

References:

• Operations Management by Nigel Slack, Stuart Chambers and Robert Johnston, Prentice Hall
• Operations Management by Krajewski,L.J. and Ritzman, L.P., Prentice Hall
• Production and Operations Management by Richard B. Chase, Nicholas J. Aquilano and F. Robert Jacobs, McGraw-Hill
• Operations Management by Jay Heizer and Barry Render, Prentice Hall

This course offers practical, hands-on experience in practical problem solving and decision support using mathematical programming. Students will learn to analyze an industrial or physical system and abstract decision problem into an appropriate mathematical programming model. Practical computational techniques for building and solving mathematical programming to be introduced include linear programming models, integer programming models, non-linear programming models, Network Flow Programming Models, An Introduction to Meta-Heuristic Methods, Models for Stochastic Processes, Discrete Time Markov Chains, Queuing Models and multi-criteria optimization. These mathematical programming techniques will be applied to problems in many practical areas: Finance, Logistic/Supply Chain, Telecommunication and Petrochemical, among others.

Project Management has evolved in order to plan, coordinate, and control the complex and diverse activities of modern industrial and commercial projects so that the project is completed as successfully as possible in spite of all risks. Under the course students are expected to learn project life cycle, project selection, project planning, project team management and organization structure, project work breakdown structure; identify project constraints and solve the bottlenecks; estimate project duration and cost; schedule and level project resources; control project time, resources and costs; project quality and risk management issues and produce evaluation reports. These learning objectives are reinforced by a course project that allows the student to apply the principles and use the tools they learn. In addition, students are provided with case studies describing real-world project management problems and their solutions.

References:

• Project management-A Managerial Approach, 5^th edition, Meredith, J.R., and Samuel J. Mantel, Jr., John Willy & Sons, New York, 2003
• A guide to the project management body of knowledge (PMBOK), 2000 Edition, Project Management Institute (PMI), Newton Square, PA, USA
• Project Management, Harvey Maylor, third edition, Prentice Hall, 2002
• Project Management- the management process, Gray, C. and Larson, E., McGraw Hill, 2003

Supply Chain Logistics Management deals with pre-manufacturing, manufacturing and post-manufacturing supply chain-wide as well as logistical operations. It is crucial for firms that seek to consistently get the right product to the right place at the right time at a competitive price and hence provide them with a sustainable advantage over their rivals. It looks at supply chain strategy, supply chain route analyses, supply chain outsourcing and partnering, JIT management philosophy, inventory management and material requirement planning, warehouse location allocation, logistics system design, reverse logistics, information systems for logistics and enterprise resource planning rationale. The course also looks at the relevance of modern supply chain logistics in Kazakhstan and concepts of the course will be illustrated and integrated with the particular issues facing local industries.

References:

• Supply Chain Logistics Management by Donald B., David C., and Cooper, M. B., McGraw Hill
• Supply Chain Management by Chopra, S. and Mendl, P., Prentice Hall

This course focuses on the basic principles and techniques of applied mathematical modeling for managerial decision making.  This course covers the use of data tables, etc.; graphical vs. non-graphical approaches to programming; linear and non-linear optimization using solver; integer and non-integer programming; sensitivity analysis; decision trees; random or probabilistic vs. deterministic approaches; simulation using dice and excel functions and introduction to use of crystal Ball or @-Risk for simulation etc. Students design optimization models for realistic cases, implement those using spreadsheets, and write the results in the form of a nontechnical recommendation to management.

References:

• Managerial Decision Modeling with Spreadsheets, Barry Render, Ralph M. Stair Jr., Nagraj Balakrishnan, Prentice Hall, 2003
• Spreadsheet Modeling and Decision Analysis: a Practical Introduction to Management Science, Cliff T. Ragsdale, South-Western Thomson Learning, 2001
• Management Decision Making: Spreadsheet Modeling, Analysis and Application, George Monahan, 2000

This course concerns the application and analysis of current trends and problems in the establishment and control of quality, as set forth in the Total Quality Management movement in business, industry, education, and government. Overall, this course is designed to be a discussion, analysis of management commitment towards quality, employee empowerment to achieve TQM, application of different modern TQM approaches and techniques (Statistical Process Control, Process Capability and Six Sigma Quality), acceptance sampling, quality certification ISO 9000:2000, etc. The course contents will be beneficial to individuals aspiring to careers in quality assurance and/or quality management to change and improve quality performance.

References:

• Quality Management by Gitlow, H., Oppenheim, A. and Oppenheim , R., McGraw Hill
• Introduction to Total Quality Management for Production, Processing and Services by Goetsch, David L. and Stanley Davis,New Jersey.  Prentice Hall
• Quality Control, Besterfield, D.H.,7^th edition, Prentice Hall

This course reviews analysis and application of an integrated approach of purchasing and material management. Particular emphasis will be given on organizational policies and procedures on purchasing, relation of purchasing department with other departments, make-or-buy decision; bid and proposal preparations, supplier or vendor selection; supplier negotiation; quality assurance, value and cost analysis; quantity discounts, inventory determination, material requirement planning, Just-In-Time (JIT) purchasing; purchasing and warehouse management and purchasing information systems. The student will also relate the government rules and regulations of purchasing.

References:

• Purchasing and Materials Management by Leenders M., R. and Feeron H. E., Irwin McGraw-Hill
• Purchasing and Supply Management by Dobler D.W. and Burt D.N. McGraw Hill International Editions
• Integrated Materials Management, R. J. Carter, P. M. Price, The M&E Handbook Series, 1993

This course emerged mainly because of the evaluation of the modern corporation, the total quality management, the information technology revolution, and the social-psychological revolution of concepts and practices in the workplace. This course is to figure out how to perform operational activities more efficiently and/or effectively by exploring the application of Business Process Reengineering approaches, tools and techniques to find the system bottleneck, the appraising, streamlining, aligning and synchronizing of existing business processes, continuous improvement, benchmarking, process automation, the pruning or reworking of some of these business processes and the introduction of new ones as required.

Reference:

Process Redesign- the Implementation Guide for Managers, Tenner and DeToro, Prentice Hall, 2000

References:

• Forecasting with Univariate Box-jenkins Models, Concepts and Case, Alan Pankratz, John Wiley 1983
• Forecasting Methods and Applications, Makridakis, S, Wheelwright, S C, & Hyndman, R J, John Wiley & Sons, 3rd edition.
• Short term forecasting, T.M.O’Donovan, John Wiley & Sons, Inc, 1983
• Business Statistics in Practice, Bruce L Bowerman, Richard T O Connell, McGraw Hill

The course addresses issues pertaining to the discovery, development, and diffusion of technological advances and the technology-strategy connection in light of technological change. Topics include integrating technology with the business strategy, intellectual property rights, management and implementation of new technologies, R&D project management, core competence assessment, new product and process development, technology development and life cycle, economic and financial analysis of technology, technology forecasting, the innovation process and its impact on organization, and technology transfer mechanisms.

Reference:

Technology Management: Text and International Cases, Harrison, N, and   Samson, D., McGraw-Hill/Irwin McGraw-Hill/Irwin

The course aims to provide the student with a practical understanding of the role of managers in the service sector of the economy. This course covers managing long-term capabilities and controlling of day-to-day performances of service delivery systems. This course focuses on service sector productivity, role of services within the economy, service design and service delivery issues, service quality and quality standards and scheduling of service operations. A variety of service operations will be analyzed through a number of case studies, related to such industries as catering, consumer banking, healthcare, retail, etc.

Reference:

Service Operations Management, Strategy, design and delivery by Hope, C. and Mühlemann, A., Prentice Hall

The course focuses on understanding the broader concepts of production and service operations from the perspective of a junior management position in industry. This course addresses the development and implementation of operations strategy and its integration with corporate or business strategies and with those of other functional business areas. Topics covered will include: manufacturing strategy, operations strategy in service industry, capacity planning, organizational design for operations and productivity improvement, performance measurement, business process re-engineering, supply chain management and e-commerce strategies and examines the application of theory of constraints to develop strategic competitive advantage.

References:

• Operations Strategy by Slack, N. and Lewis, M., Prentice Hall
• Operations Strategy: Text and Cases by Garvin, David A., Prentice-Hall Inc.

This is further research of various areas in operations management, especially in the border areas between marketing and operations, finance and operations, etc. Students are required to study some selected topics of operations and supply chain management. Topics under this course will vary according to the market demand and students interests.

This course provides a broad overview of the key managerial issues relating to development and usage and components of information systems in an organization. It also discusses the effects of advances information technology on business functions. Outlining strategy for corporate growth based on effective & efficient use of information systems. Analyzing business problems and developing relevant information systems solutions, understanding how information systems can be used to transform business processes and provide more effective management control and decision making systems.

The course will introduce students to the issues and techniques involved in handling large volumes of data and extracting information/knowledge /intelligence from that data. The course will cover Data warehouse, Data warehouse definition, Terminology, Properties & Components, Data warehouse development approach, A multidimensional data model, Data warehouse design examples. Data warehouse Architecture & Implementations, Three Tier data warehouse architecture, Designing data Warehouse for telecommunication Traffic Analysis, Types of OLAP Servers- ROLAP, MOLAP & HOLAP, Computation of data cubes, Indexing & Processing OLAP data & Queries, Examples of OLAP, Loading of Data, Data Mining, Applications such as Financial Data Analysis, Retail Industry, Telecommunication Industry, Analysis of Stock Market trends etc., Mining Association Rules, Data Mining cases, Market Basket Analysis. Classification & Prediction, Real Estate Appraisal using ANN, Time Series Analysis using ANN, Churn Management, Credit card Analysis, Process Control, etc

This course presents a state-of-the-art treatment of telecommunication management and its driving forces, integration principles, network management applications and solutions, including network management frameworks, interfaces, system’s components, and platform middle-ware. Further course will discuss various service providers, products & services of service providers of telecom sector, tariff models of different services & products, role of regulators, management & practices of managing customers, business models.

The course will cover an overview of DSS, decision making processes, DSS Components, User Interface Components , Object-Oriented Programming and DSS, DSS Components (cont.), Data Components, Data Warehousing, Model Components, Intelligent Systems, Data Mining, International Issues in Decision Making, Implementation and Evaluation of DSS, Group Decision Support Systems, EIS. Overview of different types of decision making: strategic, tactical and operational. Consideration of organizational structures. Mapping of databases, MIS, EIS, KBS, expert systems, OR modeling systems and simulation, decision analytic systems onto activities within an organization. Decision analysis and strategic decision support. Group decision support systems and decision conferencing. Intelligent decision support systems: tools and applications. Cutting-edge decision support technologies. History, design, implementation: benefits and pitfalls.

The course will cover electronic business frameworks.  Internet and the WWW.  Advertisement and promotions on the web.  Service industries online.  Emerging payment methods and micro-payments.  Public policy and legal issues.  Infrastructure for electronic business.  Economics of electronic business. Telecommunications infrastructure, and Internet technology, Client-server architecture of Internet applications, standard Internet services, HTTP, markup languages, dynamic Web content, Internet access and services: measuring and pricing the Internet, Digital economy, Security of e-commerce: Cryptography and security of Internet information flows, host security, intranets and extranets, Electronic payment systems Trust and assurance in e-commerce, continuous online auditing, online financial reporting, E-business intelligence: Data mining, Web measurements and analysis, Electronic markets, Intelligent agents in electronic commerce, e-commerce transactions, and Extensible Markup Language, Virtual organizations and supply chain management over the Internet

The course will introduce the basics of simulation and it application in developing business models, overview of Monte Carlo Simulation, the simulation process, Optimization in Simulation (Cash Management), Application of simulation models in inventory planning, marketing management , financial management, accounting, capacity planning, Discrete-event simulation and Dynamic System Simulation processes and their applications in management.

This course will provide the students with basics of ERP, A Business Necessity, ERP Philosophy and Functions, Extended ERP, ERP-II, Component based ERP, ERP Vendor Management, Major Steps of ERP: Implementation, Designing a Business Blueprint, Application Configuration, Testing and End-User Acceptance, Training, Big-Bang Versus Gradual Implementation, ERP tools, ERP services, ERP challenges, outsourcing ERP , High implementation costs, calculating ROI and Business Process Reengineering (BPR). In addition course will highlight the integration between business processes and computer applications across business functions such as sales, purchasing, production, and accounting. Businesses are discovering that packaged enterprise system provide integration. The students will also study how organizations are represented in an Enterprise (or enterprise resource planning or ERP) system. Assignments and in-class exercises will include exercises and demos using some ERP software’s.

The course will provide overview of E-Commerce, B2C Individuals Online, B2C E-Commerce, Personalization & Customization, Online Communities, The New Economy - Economics of the Web, E-Commerce Business Models - how to make money on the Internet, B2B Customer Support, B2B Supply Chain Management, Organizing & Implementing Internet Marketing Plans, Traffic, Brand Building & IMC, Privacy, Security, pricing, legal and Taxation Issues.

The course will cover role of business electronic networks in management with specific reference to financial management. Infrastructure of electronic business networks. Components of business networks. Regulatory framework of electronic business networks. Economics of Financial Networks and Electronic Trading. Electronic Data Interchange (EDI), Global Information Network for Small and Medium Enterprises,

The course will cover basics of software project management, people, process, product, technology, software project development phases, organizational structures,   project charter, project plans,   work breakdown structures (WBS); Estimation and Budgeting -    Estimation, Budgeting, Project selection, NPV, ROI, Payback models; Scheduling -   Project network diagram fundamentals, PERT techniques,   Gantt charts,   Critical chain scheduling,   Mid-term preview, Risk and Change Management-   Risk management, Change control, Development Management: Team models, Requirements process, Configuration management, Software metrics, Programming languages & tools, Managing conflict and motivating, assigning Resources; Project Control-    Status reporting, Project metrics,   Earned value analysis, communications techniques;    Process Improvement; System Test Process-  Black box and white box testing, Unit and integration testing, Acceptance test specifications,   Test tools; Other Issues-   Project Recovery, Documentation,     Cutover/Migration, Post Project Reviews, Closing; Project Success-     Management support, Expectations, Success metrics. MS Project software for monitoring & control.

This course addresses issues of computer based accounting systems. The course will focus on teaching skills needed to use modern accounting software, will require the skills necessary to manipulate data efficiently and accurately, to produce useful information. Eventually, the students are expected to develop practical skills to handle common business-related situations. The course includes discussions on the accounting software principles, and concentrates on effective techniques of using software in the business world.

The course will cover processes IT enabled services and a brief overview of various service sectors. It will cover how to gain an expertise in dealing with technology selection & implementation issues, management of services and their marketing and application of IT in various service sectors, integrating effectively both at front-end and back-end. It also enables them to draw BPO strategies for various service offerings. Customer Interaction Services such as Call Centers Finance and Accounting Services such as back office data processing for airlines, etc. Engineering and Design Services such as outsourced design activities Human Resources Services such as outsourced payroll preparations, etc. Animation for movies and TV serials, cartoon strips, etc. Translation, Transcription and Localization such as Medical Transcription Services. Network Consulting and Management covering outsourced network designing and maintenance. Data Search, Integration and Analysis covering areas such as preparation of legal data bases, research & preparation of reports based an data bases on past records, etc.

The course will covers introduction of business processes in sales, marketing, and service that touch the customer, application of CRM software tools in an enterprise to build databases about its customers that describes relationships in sufficient detail so that management, salespeople, people providing service, and even the customer can access information, match customer needs with product plans and offerings, remind customers of service requirements, check payment histories, and so on. In addition course will cover how to use an integrated online CRM software solution designed to manage sales processes, order management, marketing campaigns, customer support and partner management.

The course will cover the global software management environment, the process of globalization, characteristics of the global software companies, business global drivers. Formulating and implementing strategies for international and global operations, the organization structure and control systems in global companies. Strategic use of information resources and Global IT strategies. Linking the IT strategy to company strategy, Creating and managing global business teams, Organizational impacts of IS/IT use, the global IT organization and architecture, The Role of Chief Information Officer, Global Internet and e-commerce.

The course will cover theory and practice of KM; the mind set for knowledge management, the knowledge cycle- creation, retrieval, and use; varieties of knowledge work-mapping knowledge tasks and knowledge workers; KM opportunities in the enterprise, mechanics of knowledge management-tools & techniques; Information culture and strategy; corporate instinct; knowledge markets and pricing, Applying knowledge management-case studies fro corporate world, Information politics, behavior, culture, economic issues of knowledge management; knowledge management implementation strategies.

  Bang College of Business, KIMEP, 2 Abai Avenue, Almaty, 050010
Tel.: +7 327 270-44-96        Fax: +7 327 270-44-63
E-mail: bcb@kimep.kz