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Yönetim Bilişim Sistemleri ve Mühendisliği

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Hakkında yorumlar Yönetim Bilişim Sistemleri ve Mühendisliği - Kurumda - Kadıköy - İstanbul

  • Program tanımları
    ENDÜSTRİ MÜHENDİSLİĞİ

    YÖNETİM BİLİŞİM SİSTEMLERİ VE MÜHENDİSLİĞİ YÜKSEK LİSANS PROGRAMI

    Tezsiz Yüksek Lisans programı (II.Eğitim) Yönetim Bilişim Sistemleri ve Mühendisliğinde ise amaç, ilgili teknik ve davranışsal alanlarda bilimsel altyapıya sahip uzmanlar yetiştirmek ve araştırma çalışmalarına katkıda bulunmaktır.

    TEZSİZ YÜKSEK LİSANS DERS İÇERİKLERİ(II.ÖĞRETİM)

     
    MANAGEMENT INFORMATION SYSTEMS
    This course focuses on the challenges and the opportunities through lectures and case studies. The strategic roles of information technology in the modern corporation will be examined, basic understandings of the infrastructure of corporate information systems will be acquired, the unique issues in managing information technology will be discussed, and the future of business in the information age will be explored.

    SIMULATION
    Methods of computer-based discrete simulation including design of simulation experiments, statistical methods used in simulation, verification of models and results, and simulation languages and systems will be studied.

    COMPUTER VISION TECHNIQUES
    This course studies methods for computers to understand and interpret the contents of images. It aims to teach the basic concepts underlying various computer vision techniques and the application of current techniques for problem solving.

    BUSINESS INTELLIGENCE
    The course provides the student with an introduction to the basic and more advanced concepts of Business Intelligence and discusses the architectures of possible solutions. Topics include Definition of BI, BI Tools & Architectures, Relational and Multidimensional Database Concepts, Data Warehouse and Datamart Architectures & Design, Metadata, Introduction to Data Mining, Data Preparation, Unsupervised Methods (Clustering), Supervised Methods (Neural Networks & Decision Trees).

     QUALITY ASSURANCE AT SOFTWARE DEVELOPMENT
    A course in testing and quality assurance emphasizing the planned development of software and the nature of test development and implementation. Topics include: test strategies, test planning, functionally testing, stability testing and debugging techniques. The purpose is to give the management visibility over the process being used in the project and of the systems that is being built.

    SYSTEMS ANALYSIS AND DESIGN
    Concepts and principles of information system analysis and design, with emphasis on the data flow model of information systems. The system development life cycle stages, including feasibility study, requirements definition, and system design will be studied and be applied to real information processing situations.

    CREATIVITY AND INNOVATION
    The globalization and the increased competitive pressures in today’s dynamic business world force the companies to discover the power of creativity and the importance of innovative thinking in their organizations.   In this rapidly changing environment the traditional competition is no more sufficient to be successful and take place among the winners in the market.

    This course will cover the discussion of techniques and tools unleashing and developing creativity and innovative thinking on personal and organizational bases.

     MULTIVARIATE DATA ANALYSIS
    Topics include classification of data analytic methods, principle components analysis, logistics regression analysis, multivariate analysis of variance and canonical correlation.

    SOFTWARE DEVELOPMENT METHODS AND IMPROVEMENTS
    This course will expose students to techniques used to develop large software systems. Major topics include systems and requirements engineering, object-oriented design, and systematic code testing techniques, project management, scheduling, planning, configuration management, semi-formal and formal specification, programming practices, application generation and component-based software reuse, and inspections.

    BUSINESS INFORMATION POLICY FOR COMPETITIVENESS
    The course objective is to gain the understanding of the influence of organizational strategy on the information / knowledge policy; the application of information / knowledge management in organizations; the role of the information professional in the development of the information / knowledge policy in organizations.

    MANUFACTURING INFORMATION SYSTEMS
    This course will help students to develop an understanding of the special information systems requirements of the manufacturing industry, and to contrast these against requirements of other industrial sectors. On completion of this course the student should be able to: a) Appreciate the range of manufacturing operations; b) Recognise the roles of information systems for the different manufacturing processes; c) Recognize the special requirements within a segment of the industry; d) Evaluate, select and apply information systems concepts to Manufacturing Management and Information Systems within the chosen segment of the industry.

    RECORDS AND INFORMATION MANAGEMENT
    Organizations create, maintain and manage recorded information to provide tangible evidence of business activities and transactions. This course will show an orientation to business records management including systematic control over the creation, distribution, utilization, retention, storage, protection, preservation and final disposition of all types of records within an organization.

    INDIVIDUAL STUDIES IN MIS
    Students work individually to develop research studies covering a wide range of topics in management information systems including groupware, IS project management and implementation, production and maintenance.

    DATA COMMUNICATIONS AND COMPUTER NETWORKS
    Basics of data transmission, data communication services (SMDS, X.25, FR, ISDN, ATM, BISDN), definition uses classification and topologies of computer networks, multiple access methods, layered network structure. OSI and TCP/IP reference models, example networks, network standardization, physical layer, types of transmission medium, RS-‘^’, RS-++), X.21, ISDN and V.35, interfaces, functions of data link layer, framing, flow control, error control, HDLC, SLIP and PPP Protocols, medium access control (MAC) sublayer, repeaters, bridges, LAN switches, routers, layer-3 seitches and gateways, routing algorithms.

    LEARNING ORGANIZATION
    Organizational learning involves individual learning, and those who make the shift from traditional organization thinking to learning organizations develop the ability to think critically and creatively.

    In this course the Peter M. Senge’s “The Fifth Discipline – The Art & Practice of The Learning Organization”, which popularized the concept of learning organizations, is told about. The book is based on five disciplines: personal mastery, mental models, shared vision, team learning, and Systems thinking. Senge emphasizes that these disciplines are not separate, but they interact with each other. A learning organization may not function properly with only four disciplines, and the fifth discipline, systems thinking, is the glue that ties the other four into one indivisible whole. In this course also a description of organizational learning is given, then why is needed for learning organizations is tried to be answered.

    E-MARKETING

    PROJECT AND SEMINAR

    A compulsory course for degree candidates. A topic will be selected by the student, a proposal should be prepared during the semester. A presentation to public audience will be performed together a write up submitted to the instructor. 0 credit, Pass or Fail.

    DECISION SUPPORT AND EXPERT SYSTEMS
    The course content includes Management and Decision Support, DSS & EIS, Different Reporting & Analysis Tools & Techniques, OLAP concepts and architectures, Data Warehousing & Data Mining concepts, Knowledge Based Decision Support, Knowledge Representation, Artificial Intelligence and Heuristic Search, Genetic Algorithms, Knowledge Engineering and Expert Systems, Fuzzy Logic.

    KNOWLEDGE AND DOCUMENT MANAGEMENT
    Systems for leveraging organizational knowledge will be studied. The topics of the course include the document manufacturing systems & enterprise-support systems, the characteristics of knowledge in the business organization, the characteristics/effects of a knowledge transaction, the document management technology and systems.

     PROJECT MANAGEMENT
    Management of information systems projects will be studied in this course. The topics will include definition of project scope, time management in IS projects, human resources, cost estimate and budgeting, project quality management, HR management, communication management, risk management, project management team, stages in IS project management.

    CUSTOMER RELATIONSHIP MANAGEMENT

    CRM, or Customer Relationship Management is the new buzzword in business. This course focuses on attracting and retaining customers through excellent service, cooperation, trust, commitment and sharing of information. CRM is all about business relationships and how the marketer can create new value for its customers, suppliers, employees and investors by managing these relationships. The objective of this course is to equip students to manage relationships with customers and all other stakeholders.

    STRATEGIC OPERATIONS AND POLICY DEPLOYMENT

    The course will deal with all the aspects a software company has to consider, in order to deliver the software product, that meets the given requirements, industry standards, and above all satisfies the customer with it's quality. The focus will be on a applications.

    DATABASE MANAGEMENT SYSTEMS

    Review of the relational data model; DBMS architectures; data dependencies; extensive coverage of SQL and QBE; data dictionaries; physical database design, introduction to distributed databases.

    ORGANIZATIONAL BEHAVIOR AND GHANGE

    This course intends to provide participants with the current topics of organizational behavior ( OB ) theories and models that underlie organizational change.

    Completing this course the participants are expected;

    - To increase awareness and understanding of   organizational change including macro and micro levels of behavior in organizations.

    - To develop diagnostic and consultative skills   to adapt or change behavior when required.

    - To develop effective   management skills to succeed change.

    INFORMATION TECHNOLOGY AUDITING
    This course deals with   the important concepts, standards, and frameworks associated with IT auditing. It takes a risk approach to IT audit, and covers in detail the risks associated with IS deployment, IS operations, networks and telecommunications, and e-business. Audit objectives, internal control, general control and application control are covered.

    QUALITY INFORMATION SYSTEMS

    The course content includes acceptance sampling by attributes: single sampling plans, double and sequential fraction-defective sampling plans, multiple fraction-defective sampling plans. ISO 9001 and military standard, acceptance sampling by variance; comparison of various types of sampling plans; rectifying inspection or lot by lot sampling; sampling plans for continuous production; general theory of control charts and variable control charts; quality assurance; maintainability; reliability; total quality management.

    TOOLS FOR INFORMATION ENGINEERING
    The objective of the course is to gain a basic understanding of Information Engineering tools and techniques that are used in the systems development life cycle. The topics include introduction to Information Engineering, Information Engineering methods and tools, examination of techniques, methods and tools for the planning, development and maintenance of information systems.

    FINANCIAL INFORMATION ANALYSIS

    The objective of the course is to provide a better understanding of corporate finance issues. The course content includes identification and evaluation of real options, forecasting financial needs and identification and evaluation of risk-sharing opportunities.

    TELECOMMUNICATIONS AND E-BUSINESS

    The objective of the course is to prepare students with a balanced background in Internet technology and e-business principles who are able to actively participate in any organization that uses the Internet in its operations.   Specifically emphasis is placed on the design and coding of dynamic websites, telecommunications, and e-business principles and applications.

    TOPICS IN MIS
    This is a variable content course that will feature topics of current interests to practitioners including, though not limited to, object oriented systems, quality in information systems, behavioral aspects of IS, end-user computing, adoption of information technology, client/server systems, multimedia systems and the like.

    MANAGEMENT OF ELECTRONIC RECORDS

    In the age of infomania, increasing amounts of records and information are created in an electronic environment. This has reached such an extent that computers have become the major means of document creation in modern day offices. Some of these documents continue their life in hard copy form whereas more and more of them cease to be transformed onto a more durable format and carry on their existence in electronic form only.

    Organizations save and keep records and information with the aim to use them again in the future. However, doing this in an electronic environment is not as easy as in   the traditional media. E-records pose special problems of maintenance and preservation, some which still await to be solved.

    This lecture aims to highlight the special issues and problems associated with the accessibility, maintenance and preservation of information and records created and kept in an electronic environment.

    DATA MINING

    After introducing Data Mining Concepts, this course covers each step in the Data Mining process and most of the popular algorithms. Data Mining and Knowledge Discovery in Databases, Data Mining & Statistics, Data Mining Process & Steps, Data Preparation, Variable Selection, Supervised and Unsupervised Learning, Market Basket Analysis, Clustering, Linear and Logistic Regression, Decision Trees (CART, C5, CHAID), Artificial Neural Networks.

     

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