MTech IT Placements 2013.pdf - IDRBT

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Advanced Data Base Management Systems The course deals with various aspects of database design, data storage and retrieval. It also focuses on issues pertaining to concurrency in transaction management and database security. Current developments in database systems such as Distributed, Parallel, Object-Oriented and Mobile databases along with their application are discussed. Course syllabus includes Basics of database concepts (Data Modeling using ER, Relational Model, Relational Algebra and Calculus, SQL), Database Management Systems Concepts, DBMS System Architecture, Storage and Indexing Concepts, Transaction Management, Concurrency Control, Recovery, Database Security principles, Parallel and Distributed Database Systems, Object-oriented Database Systems, Information Retrieval and XML Data Management. Quantitative Techniques in Finance Quantitative Techniques in Finance deals with fundamental concepts and models of quantitative measures required for scientific decision making relevant to the banking and financial sector. It covers topics of basic statistics, probability, numerical techniques and operations research models with examples, exercises and case studies. This course helps to learn necessary skills to understand, formulate, analyze and handle important real-life financial problems. Analytical tools such as MS-EXCEL, MATLAB and R help in the analysis and solution of the formulated problems. It has five modules covering (i) Valuation Techniques, (ii) Forecasting Techniques, (iii) Linear and Non-linear Optimization methods, (iv) Multiple Objective Optimization and Dynamic Optimization methods, (v) Stochastic processes and Stochastic programming. Various banking and financial applications including net present valuation, interest rate sensitivity analysis, liquidity risk analysis, asset liability management, portfolio optimization, stress testing, cash management, transfer pricing, value at risk, supply chain, etc., are covered. Java and Scripting Languages – Lab This course enables the student to develop skills in object-oriented programming with a focus on Java. Programming concepts such as multithreading, JDBC- ODBC connectivity, Java servlets, etc., are exercised by students in their lab work. 09 M.Tech.(IT) Placements 2013
Systems Security The course covers concepts such as Fundamentals of Computer Security, Security Mechanisms, Operating System Security, Network Security; Data Base Security, Security Vulnerabilities and Secure Design Principles. It includes Traditional Security, Access Control Systems Using Swipe Cards, RFID, Biometrics, and Security Protocols such as IPSEC, PKI, and Digital Signatures. Software Engineering This course exposes the student to different software development life cycle stages and activities including cost estimation models and software metrics. The course exposes the student to a step-by-step process of software development. Software testing techniques are also dealt with in-depth. Different software testing approaches along with software quality and software reliability issues are also covered in detail. Implementation and software maintenance issues are discussed. E-Commerce and Payment Systems This course aims to expose students to current trends in electronic commerce and payment systems. Course syllabus includes E-Commerce Business Models and Concepts, Building an E-Commerce website, E-Commerce Marketing Concepts, Online Security, Payment Systems, E-Commerce Technologies (XML & Java), Web Services, Mobile Commerce, Social, Ethical, and Legal aspects of E- Commerce. Network Programming and Web Services – Lab This course provides the basics of Networking and Security from a practical perspective that complements the foundations taught in the Network course. Soft Computing in Finance This course covers fundamentals of soft computing methodologies and focuses on their application in the areas of Economics, Finance and Banking Management problems such as Risk Management, Portfolio and Investments, Financial Time Series, Decision Making Problems of Risk Management, Credit rating, and Classification and Clustering. Data Warehousing and Data Mining The course exposes the intricate concepts of data mining with several examples and delves a good amount of time in the major tasks of data mining viz., classification, clustering and association rule mining. It also highlights the all-important issue of feature selection and various algorithms that achieve it. It elucidates the essentiality of the link between the Data Mining and Customer Relationship Management (CRM) through concepts and examples. Over all, this course is a highly practical-oriented course that offers immense benefits to the students and banks stand to benefit from the students who take up this course. The M. Tech. (IT) students undertake a one-year project work in the III & IV Semesters respectively. M.Tech.(IT) Placements 2013 10
Page 1: M.Tech. IT Placements 2013 ( ) Inst
Page 4 and 5: IDRBT GOVERNING COUNCIL Dr. D. Subb
Page 6 and 7: MESSAGE FROM PLACEMENT COORDINATOR
Page 8 and 9: ABOUT IDRBT The Indian Banking and
Page 10 and 11: M.Tech. (IT) The M. Tech in Informa
Page 14 and 15: RESEARCH INITIATIVES OF M.Tech. (IT
Page 16 and 17: PAST RECRUITERS During the previous
Page 18 and 19: M. T ech. (IT) - BATCH (2011-13) Vi
Page 20 and 21: M. T ech. (IT) - BATCH (2011-13) De
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Page 24 and 25: Approach,” International Journal
Page 26 and 27: Currently working on an IT Governan
Page 28 and 29: IDRBT ADJUNCT FACULTY Padmashri Pro
Page 30 and 31: IDRBT Research Fellowships IDRBT Po
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MTech IT Placements 2013.pdf - IDRBT

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