PEO1: To prepare globally competent post graduates having strong domain knowledge and updated with modern technology to provide effective solutions for engineering problems.
PEO2: To prepare the post graduates to work as committed professionals with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.
PEO3: To prepare motivated post graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
PEO4: To prepare the post graduates with strong managerial and communication skills to work effectively as individuals as well as in teams.
Students are expected to know and be able –
PO1: To apply domain knowledge, problem solving skills, research attitude, algorithmic analysis and mathematical modelling to the solution of complex engineering problems.
PO2: To analyse the problem by applying domain specific skills.
PO3: To understand the design issues of the product/software and develop effective solutions with appropriate consideration for public health and safety, societal, and environmental considerations.
PO4:To find solutions of complex problems by conducting investigations and applying suitable techniques.
PO5: To adapt the usage of modern tools, software and to keep in touch with current technologies and inculcate investigative culture with the practice of lifelong learning.
PO6: To contribute towards society by understanding the impact of Engineering on global aspects.
PO7: To understand environmental issues and design a sustainable system.
PO8: To understand and follow professional ethics strongly.
PO9: To function effectively as an individual and as member or leader in homogeneous and heterogeneous teams and interdisciplinary settings.
PO10: To develop a research attitude with methodology.
PO11: To apply the knowledge of Computer Engineering for research problems, development of projects, its finance and management.
PO12: To yield motivated post graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
A Post Graduate of the Computer Engineering Program will demonstrate-
PSO1: Professional Skills-The ability to understand, analyse and develop software in the areas related to networking, system software, multimedia, web design, big data analytics, and algorithms for efficient design of computer-based systems of varying degrees.
PSO2: Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
PSO3: Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur and a zest for research.
PSO4: Research faculty in exploring the solutions to engineering problems which are effective, efficient, optimized and feasible.
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ME Computer Engineering |
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Course Code and Name:510101: Research Methodology |
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510101.1 |
Identify appropriate topics for research work in computer engineering |
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510101.2 |
Select and define appropriate research problem and parameters |
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510101.3 |
Design the use of major experimental methods for research |
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510101.4 |
Use appropriate tools, techniques, and processes of doing research in Computer science |
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510101.5 |
Become aware of the ethics in research, academic integrity and plagiarism |
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510101.6 |
Write a research report and thesis |
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Course Code and Name:510102 : Bio-Inspired Optimization Algorithms |
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510102.1 |
Describe the natural phenomena that motivate the algorithms |
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510102.2 |
Apply nature-inspired algorithms to optimization |
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510102.3 |
Select the appropriate strategy or optimal solution based on bio-inspired algorithms |
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Course Code and Name:510103 : Software Development and Version Control |
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510103.1 |
Select and apply the design patterns to software development. |
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510103.2 |
Design software for real engineering Problems. |
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510103.3 |
Demonstrate team work for development of software in a collaborative environment. |
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510103.4 |
Use of open source version control tool. |
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Course Code and Name:510104 : Embedded and Real Time Operating Systems |
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510104.1 |
Recognize and classify embedded and real-time systems |
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510104.2 |
Explain communication bus protocols used for embedded and real-time systems |
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510104.3 |
Classify and exemplify scheduling algorithms |
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510104.4 |
Apply software development process to a given RTOS application |
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510104.5 |
Design a given RTOS based application |
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Course Code and Name :510105B : Data Mining |
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510105B.1 |
Apply basic, intermediate and advanced techniques to mine the data |
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510105B.2 |
Analyse the output generated by the process of data mining |
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510105B.3 |
Explore the hidden patterns in the data |
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510105B.4 |
Optimise the mining process by choosing best data mining technique |
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Course Code and Name :510108 : Operation Research |
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510108.1 |
Identify the characteristics of different types of decision-making environments |
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510108.2 |
Use appropriate decision making approaches and tools |
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510108.3 |
Build various dynamic and adaptive models |
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510108.4 |
Develop critical thinking and objective analysis of decision problems |
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510108.5 |
Apply the OR techniques for efficacy |
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Course Code and Name: 510109 : System Simulation and Modeling |
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510109.1 |
To apply modelling to understand system behaviour |
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510109.2 |
To design the simulation scheme for particular system |
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510109.3 |
To analyse the modelled and simulated systems |
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510109.4 |
To compare the results of simulations confined to real world application |
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Course Code and Name:510110 : Machine Learning |
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510110.1 510110.1 |
Acquire fundamental knowledge of learning theoryAcquire fundamental knowledge of learning theory |
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510110.3 |
Design and evaluate various machine learning algorithmsDesign and evaluate various machine learning algorithms |
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510110.4 510110.5 |
Use machine learning methods for multivariate data analysis in various scientific fieldsUse machine learning methods for multivariate data analysis in various scientific fields |
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510110.6 |
Choose and apply appropriate Machine Learning Techniques for analysis, forecasting, categorization and clustering of the data |
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Course Code and Name:510111D: Network Security |
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510111D.1 |
Design and choose appropriate security model |
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510111D.2 |
Apply security means to various applications |
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510111D.3 |
Apply security algorithms in various environments for network security |
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510111D.4 |
Design network security solutions |
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510111D.5 |
Select appropriate tools to thwart network attacks |
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Course Code and Name:510112 : Seminar I |
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510112.1 |
To use multiple thinking strategies to examine real-world issues and explore creative avenues of expression |
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510112.2 |
To acquire, articulate, create and convey intended meaning using verbal and non-verbal methods of communication. |
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510112.3 |
To learn and integrate,through independent learning in sciences and technologies, with disciplinary specialisation and the ability to integrate information across |
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Course Code and Name:610101 :Fault Tolerant Systems |
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610101.1 |
Analyse the system for the requirement of fault tolerance |
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610101.2 |
Simulate the fault tolerance algorithms |
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610101.3 |
Implement diagnosis and recovery of the system |
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610101.4 |
Assess the reliability of the system |
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Course Code and Name:610102: Information Retrieval |
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610102.1 |
Implement the concept of Information Retrieval |
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610102.2 |
Evaluate and Analyze retrieved information |
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610102.3 |
Generate quality information out of retrieved information |
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610102.4 |
Apply clustering and classification algorithms to analyse the information |
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Course Code and Name:610103C :Mobile Ad-hoc Networks |
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610103C.1 |
Assess Quality of Service in MANET |
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610103C.2 |
Evaluate the performance of various Protocols in MANET |
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610103C.3 |
Choose appropriate constituents and parameters to build MANET |
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610103C.4 |
Analyse the performance of MANET |
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Course Code and Name:610104 : Seminar II |
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610104 |
To use multiple thinking strategies to examine real-world issues and explore creative avenues of expression, |
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610104 |
To acquire, articulate, create and convey intended meaning usingverbalandnon-verbal method of communication. |
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610104 |
To learn and integrate,through independent learning in sciences and technologies, with disciplinary specialisation and the ability to integrate information across |
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Course Code and Name:610105 : Dissertation Stage I |
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610105.1 |
Conduct thorough literature survey confined to the domain of choice |
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610105.2 |
Develop presentation skills to deliver the technical contents |
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610105.3 |
Furnish the report of the technical research domain |
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610105.4 |
Analyse the findings and work of various authors confined to the chosen domain |
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Course Code and Name:610107 : Seminar III |
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610107.1 |
To use multiple thinking strategies to examine real-world issues and explore creative avenues of expression, |
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610107.2 |
To acquire, articulate, create and convey intended meaning usingverbalandnon-verbal method of communication. |
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610107.3 |
To learn and integrate,through independent learning in sciences and technologies, with disciplinary specialisation and the ability to integrate information across |
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Course Code and Name:610108 : Dissertation Stage II |
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610108.1 |
Show evidence of independent investigation |
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610108.2 |
Critically analyse the results and their interpretation infer findings |
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610108.3 |
Report and present the original results in an orderly way and placing the open questions in the right perspective. |
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610108.4 |
Link techniques and results from literature as well as actual research and future research lines with the research. |
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610108.5 |
Appreciate practical implications and constraints of the specialist subject |