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Vision: 

 

To be a centre of academic excellence and research in the field of Computer Science and
Technology by imparting knowledge to students and facilitating research activities that cater the
needs of industries and society.



Mission: 

 

  • To provide a learning environment that help students to enhance problem solving skills, be successful in their professional career and to prepare students to be lifelong learners by offering theoretical foundation in Computer Science and Technology.
  • To prepare students in developing research, design, entrepreneur skills and employability capabilities.
  • To establish Industry Institute Interaction to make students ready for industrial environment.
  • To educate students about their professional and ethical responsibilities.
 
 
PEO
  • To create graduates with basic knowledge of Computer Science and Technology who can contribute towards propagating Science and Technology.
  •  To create graduates with adequate abilities in Computer Science and Technology who can progress to bedevelopers, designers and researchers to fulfill the necessities of Computer Industries.
  •  To develop amongst students the capacity to figure, formulate, analyze and solve reallife problems confronted in Software Enterprises.
  •  To exhibit professionalism, ethical attitude, communication ability collaboration in their profession and adapt to current trends throughlifelong learning.
 

 

Program Outcomes
  • An ability to apply mathematical foundation algorithmic principles & computer science theory in the modeling & design of computer based systems that demonstrate compression of the tradeoffs involved in design choices.
  • An ability to analyze, critique, interprets&presents experimental results.
  • An ability to solve real life analytical & logical problems & devise an appropriate system for it.
  • Ability to model, understand & develop complex software & information management system.
  • Ability to use various licensed an FOSS (Free Open Source Software) tools implementation for design and development of engineering applications.
  • An ability to function understands professional ethical legal security & social issues & responsibilities.
  • Ability to understand impact of professional engineering in societal and engineering context for sustainable development.
  • Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  • To function effectively as an individual and as a member or leader in teams
  • An ability to communicate efficiently in both verbal and written form
  • To demonstrate knowledge of engineering & management principals and apply these to one own work.
  • Recognition of the need for an ability to engage in lifelong learning.
 

 

Course Outcomes

Course outcomes are narrower statements that describe what students are expected to know and be able to do at the end of each course. These relate to the skills, knowledge and behavior that students acquire in their matriculation through the course.
 

Sr. No.

Subject Name

Course  Outcome

1

Research Methodology

  1. To understand some basic concepts of research and its methodologies
  2. To select and define appropriate research problem and parameters
  3. To prepare a project proposal (to undertake a project)
  4. To organize and conduct research (advanced project) in a more appropriate manner
  5. To write a research report and thesis 

2

Mathematical Foundation of Computer Science 

  1. Apply the concepts learned in fundamental courses such as Discrete Mathematics, in a theoretical setting; in particular, the application of proof techniques.
  2. To demonstrate abstract models of computing, including deterministic (DFA), non-deterministic (NFA) and their power to recognize the languages.
  3. To construct pushdown automata and the equivalent context free grammars.
  4. To Design abstract models of computing machine through Turing Machine and its types.
  5. Recognize whether a problem is decidable or undecidable
  6. To demonstrate the understanding of key notions, such as, computability, decidability, and complexity through problem solving.

3

Design and Analysis of Algorithms

  1. Apply the algorithms and design techniques to solve problems; analyze the complexities of various problems in different domains.
  2. Students will able to compare two algorithms in terms of time and space complexity.
  3. Study and Solve Problem using Dynamic Programming and Greedy Method Algorithms.
  4. Study and Summarize concept of Lower Bound, NP Hard and NP Complete Problems
  5. Solve problems using PRAM Algorithms. Analyse Parallel Algorithms
  6. Understand Computational Models and techniques for MESH and Hypercube Algorithms with practical applications and the resource requirements of each

4

Artificial Neural Network (ANN)

  1. To solve complicated problems using biological neuron system & calculate equation of terminal network.
  2. To design and implement neural network systems.
  3. To describe the relation between real brains and simple artificial neural network models.
  4. To explain and contrast the most common architectures and learning algorithms for Multi-Layer Perceptrons,Radial-Basis Function Networks and Kohonen Self-Organising Maps.

5

Advance Database Systems

  1. To develop knowledge and understanding of the underlying principles of Relational Database Management System in detail.
  2. To be familiar with new data management applications and build capacity to learn DBMS advanced features.
  3. To develop your competence in enhancing database models using distributed databases.
  4. To build up your capacity to implement and maintain an object database management system.
  5. To learn Master transaction processing, concurrency control and crash recovery.
  6. To learn Master query processing and optimization, advanced indexing and data organization for DBMS.
  7. To be familiar with security issues and performance measure in DBMS like Oracle/IBM DB2

6

Advanced Operating Systems

  1. Gain knowledge in issues for constructing the distributed systems.
  2. Examine how the message oriented communication can be done in distributed systems to achieve the synchronous and asynchronous communication.
  3. Compare client and data centric consistency models to improve performance and scalability in terms of memory.
  4. Implement the suitable clock synchronisation algorithms to manage resource in a distributed operating system environment.
  5. Analyze issues dealing with recovery failure and able to implement distributed file system in network file system.

7

Seminar -I

  1. To demonstrate the ability to perform close and critical readings.
  2. To demonstrate the ability to consider critically the motives and methods of scholarship and the relationship between them.
  3. To demonstrate the ability to distinguish opinions and beliefs from researched claims and evidence and recognize that kinds of evidence will vary from subject to subject. For instance, some fields call for quantitative support while others work more commonly with quoted, textual evidence.
  4. To ask disciplinarily appropriate questions of the material and recognize when lines of inquiry fall outside of disciplinary boundaries.
  5. To evaluate, credit, and synthesize sources

8

Parallel computer architecture

  1. Summarize and analyze the most important parallel architectures in order to distinguish their main differences.
  2. Students will able know and analyze how modern computer systems are designed, including details about pipeline, memory organization, virtual and physical memory, asynchronous memory technology.
  3. Students will conversant with Advanced Microprocessor Techniques. They also able to compare and analyse different microprocessor technologies.
  4. Students will know concept of System Interconnects and will able to describe design of Storage system
  5. Study, Understand, different Parallel Programming Models, solve problems with the help of Parallel Programming Language. Study standard High Performance Systems.

9

Computer Vision and Image Processing

  1. Review the fundamental concepts of a digital image processing system and Analyze images in the frequency domain using various transforms.
  2. Evaluate the techniques for Image enhancement used in digital image processing.
  3. Design and Implement algorithms for Image restoration and Image compression.
  4. Design and Implement algorithms for Image analysis and computer vision.
  5. Implement basic methods of computer vision related to multi-scale representation, edge detection and object recognition.
  6. To apply computer vision and image processing techniques to solve problems in research and industrial applications, such as character recognition, face recognition.

10

Computer Security

       1. Explain basic concepts, principles, and mechanisms in                       network security and determining suitable mechanism such               as encrypt, transmit and decrypt messages

       2. Understanding cryptographic techniques which can be used               for securing the computer network

      3. Learn the use of authentication mechanisms by analyzing the            possible threats

      4. Applying network security mechanisms to address the                         vulnerabilities in various computing environments

      5. Discuss the various issues concerning the security of web                  environment

       6. Describe the basic mechanism involving attacks through the             use of virus, worms and intruders along with understanding the

         countermeasure to detect and prevent attack

 

11

Business Intelligence

  1. Apply theoretical concepts of the course materials to the decision-making and BI processes and technologies in order to prepare students for making appropriate managerial decisions in future real-life situations.
  2. Explain the foundations, definitions, and capabilities of DSS, data analytics and BI
  3. Undertake systematic investigation/research related to the decision support and BI systems and technologies for today’s dynamic business environment.
  4. Develop professional attitudes in students in relation to the team work, interpersonal communication, and business ethics.
  5. Demonstrate the impact of business reporting, information visualization, and dashboards
  6. Identify the major ethical and legal issues of analytics.

12

Geographical Information Systems

  1. Comprehend fundamental concepts and practices of geographic information systems and advances in geospatial information science and technology.
  2. Demonstrate GIS modeling skills.
  3. Examining computer methods for handling spatial data.
  4. Examining managements of errors in GIS.
  5. Design and implementing a GIS project. 

13

Seminar – II

  1. Students will demonstrate the ability to perform close and critical readings.
  2. Students will demonstrate the ability to consider critically the motives and methods of scholarship and the relationship between them.
  3. Students will demonstrate the ability to distinguish opinions and beliefs from researched claims and evidence and recognize that kinds of evidence will vary from subject to subject. For instance, some fields call for quantitative support while others work more commonly with quoted, textual evidence.
  4. Students will demonstrate the ability to ask disciplinarily appropriate questions of the material and recognize when lines of inquiry fall outside of disciplinary boundaries.
  5. Students will demonstrate the ability to evaluate, credit, and synthesize sources.

14

Industrial Training

  1. Generate a report based on the experiences and projects carried out with theability to apply knowledge of Mathematics, Science, and Engineering Fundamentals. 
  2. Integrate classroom theory with workplace practice
  3. To get familiarity with Industrial working process.
  4. Develop new or advanced skills
  5. Getting knowledge from product design to dispatch.
  6. Develop significant commitment in the students’ profession/specialization

15

Dissertation phase I,II

  1. Obtain information from a variety of sources, evaluate it critically and discriminate between useful and less useful information
  2. Recognise the importance of planning and preparation required to undertake a research project.
  3. Develop a thorough understanding of the chosen subject area.
  4. Ability to practically apply various technological concepts for the work.
  5. Ability to communicate effectively and professionally.
  6. Ability to solve critical practical oriented real time problems.