Author: Prince Pudasaini (Prince Pudasaini)

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Web Systems and Algorithms

Course Title: Web Systems and AlgorithmsFull Marks: 45 + 30Course No: C.Sc. 559Pass Marks: 22.5+15Nature of the Course: Theory + LabCredit Hrs: 3 Course Description: This course covers the Internet systems research including the intelligent web, search engine architecture and algorithms, information retrieval, crawling, text analysis, personalization and context, collaborative environments, and the semantic web....

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Remote Sensing and GIS

Course Title: Remote Sensing and GISFull Marks: 45 + 30Course No: C.Sc. 624Pass Marks: 22.5+15Nature of the Course: Theory + LabCredit Hrs: 3 Course Description: This course covers the concepts and principles of remote sensing, global navigation satellite System (GNSS) and GIS Course Contents: Unit 1: Concept of Remote Sensing 4 hrs Introduction; Distance and...

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Dissertation

Course Title: DissertationFull Marks: 200Course No: C.Sc. 666Pass marks: 100Nature of the Course: DissertationCredit Hrs: 8 Course Description: Dissertation is a research paper of full mark 200 offered in the curriculum of the M.Sc. second year. A student, opting for the dissertation must prepare a proposal under the supervision of a supervisor and defend in...

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e-Government

Course Title: e-GovernmentFull Marks: 45 + 30Course No: C.Sc. 669Pass Marks: 22.5 + 15Nature of the Course: Theory + Case StudiesCredit Hrs: 3 Objective of the course: The objective of this course is to study about implementing and managing of e-Government. It defines e-Government in broad sense: all use of ICT in the public sector....

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Genetic Algorithms

Course Title: Genetic AlgorithmsFull Marks: 45 + 30Course No: C.Sc. 665Pass Marks: 22.5+15Nature of the Course: Theory + LabCredit Hrs: 3 Course Objectives: General introduction to the genetic algorithms and its literature, mathematical foundation: population, mutation, crossover. Data structure for genetic algorithms and current applications of genetic algorithms. Course Contents: Unit 1: 1.1 Introduction to...

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Information and Coding Theory

Course Title: Information and Coding TheoryFull Marks: 45 + 30Course No: C.Sc. 667Pass Marks: 22.5 + 15Nature of the Course: TheoryCredit Hrs: 3 Course Description: This course deals with the basic concepts of information theory and coding. Students will get idea about entropy, data compression, channel capacity and error control coding 1.Entropy 12Hrs 1.1 entropy,1.2...

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Data Warehousing and Data Mining

Course Title: Data Warehousing and Data MiningFull Marks: 45 + 30Course No: C.Sc. 564Pass Marks: 22.5 + 15Nature of the Course: Theory + LabCredit Hrs: 3 Course Objectives: To provide an overview of the techniques and development on data warehousing and data mining. It focuses on providing information regarding establishment of data warehouse and Online...

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Embedded Systems

Course Title: Embedded SystemsFull Marks: 45 + 30Course No: C.Sc. 622Pass Marks: 22.5 + 15Nature of the Course: Theory + LabCredit Hrs: 3 Course Synopsis: Advanced concept of Embedded System Goal: This course covers a broad range of topics related to embedded system hardware, software and real time operating Systems UNIT 1 Introduction to Embedded...

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Fuzzy Systems

Course Title: Fuzzy SystemsFull Marks: 45 + 30Course No: C.Sc. 621Pass Marks: 22.5 + 15Nature of the Course: Theory + LabCredit Hrs: 3 Course Description: This course.deals with introduction, fuzzy mapping, membership functions, fuzzy knowledge based system, fuzzy controller, nonlinear systems and adaptive fuzzy controller, and hybrid systems. Course Objectives: Introduce the concept of fuzzy...

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Image Processing and Pattern Recognizition

Course Title: Image Processing and Pattern RecognizitionFull Marks: 45 + 30Course No: C.Sc. 623Pass Marks: 22.5+15Nature of the Course: Theory + LabCredit Hrs: 3 Course objectives: To be familiar with processing of the digital images, recognition of the pattern and their applications. Unit 1: Introduction (6 Hrs) Introduction:Digital Image, Fundamental steps in Image Processing, Elements...