Learning Outcomes

Learning Outcomes

Programme Outcomes (POs)

Engineering Graduates will be able to:

 

PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

 

PO2: Problem Analysis: Identity, formulates, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

 

PO3: Design / development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

 

PO4: Conduct investigations of complex problems: Use research – based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

 

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

 

PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

 

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

 

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

 

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

 

PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

 

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

 

Programme Specific Outcomes (PSOs)

A Graduate of the Computer Engineering Program will be able to

 

  • Attain proficiency in analyzing and applying Computer Engineering Fundamentals viz. algorithms, system softwares and networking for contemporary system development through advanced technologies like - Cyber Security, High Performance Computing and Data Analytics (Artificial Intelligence,Machine Learning) etc.
  • Identify, formulate and solve real world problems in societal and environmental contexts through life long learning, entrepreneurship and leadership skills.

 

Course Outcomes (COs)

First-Year Engineering

Course Code and Name: 110005 - Programming and Problem Solving

110005.1

Inculcate and apply various skills in problem solving

110005.2

Choose most appropriate programming constructs and features to solve the problem in diversified domains

110005.3

Understand and apply basics, features and future of python programming to solve real-world problem

110005.4

Exhibit the programming skills for the problem that require the writing of well-documented programs including use of logical constructs of language, Python

110005.5

Apply concept of Object Oriented Programming using Python to solve complex problems

110005.6 Demonstrate significant experience with the Python program development
environment

Second Year Engineering

Course code and Name: 210241 - Discrete Mathematics

210241.1

Formulate problems precisely, solve the problems, apply formal proof techniques, and explain the reasoning clearly.

210241.2

Apply appropriate mathematical concepts and skills to solve problems in both familiar and unfamiliar situations including those in real-life contexts.

210241.3

Design and analyze real world engineering problems by applying set theory, propositional logic and to construct proofs using mathematical induction

210241.4

Specify, manipulate and apply equivalence relations; construct and use functions and apply these concepts to solve new problems.

210241.5

Calculate numbers of possible outcomes using permutations and combinations; to model and analyze computational processes using combinatorics

210241.6

Model and solve computing problems using tree and graph and solve problems using appropriate algorithms.

210241.7 Analyze the properties of binary operations, apply abstract algebra in coding theory and evaluate the algebraic structures.

Course code and Name: 210242 -  Fundamentals of Data Structure

210242.1

To analyze a detailed understanding of behaviour of data structures like array, linked list, stack, and queue by developing programs.

210242.2

To analyze appropriate algorithmic strategy for better efficiency.

210242.3

To design data searching and sorting techniques.

210242.4

To discriminate the usage of various structures in approaching the problem solution.

210242.5

To analyze and use effective and efficient data structures in solving various Computer Engineering domain problems.

210242.6

To design the algorithms to solve the programming problems.

Course code and Name: 210243 - Object Oriented Programming

210243.1

Apply constructs- sequence, selection and iteration; classes and objects, inheritance, use of predefined classes from libraries while developing software

210243.2

Design object-oriented solutions for small systems involving multiple objects.

210243.3

Use virtual and pure virtual functions and complex programming situations.

210243.4

Apply object-oriented software principles in problem solving.

210243.5

Analyze the strengths of object-oriented programming.

210243.6

Develop the application using object oriented programming language (C++).

Course Code and Name: 210244- Compute Graphics

210244.1

Identify the basic terminologies of Computer Graphics and interpret the mathematical     foundation of the concepts of computer graphics.

210244.2

Apply mathematics to develop Computer programs for elementary graphic operations.

210244.3

Illustrate the concepts of windowing and clipping and apply various algorithms to fill and  clip polygons.

210244.4

Understand and apply the core concepts of computer graphics, including transformation in     two and three dimensions, viewing and projection

210244.5

Understand the concepts of color models, lighting, shading models and hidden surface elimination.

210244.6

Create effective programs using concepts of curves, fractals, animation and gaming

Course Code and Name: 210245- Digital Electronics and Logic Design

                                          210248- Digital Electronics Lab

210245.1

Simplify Boolean Expressions using K Map.

210245.2

Design and implement combinational circuits

210245.3

Design and implement sequential circuits.

210245.4

Develop simple real-world applications using ASM and PLD

210245.5

Choose appropriate logic families IC packages as per the given design specifications

210245.6

Explain organization and architecture of computer system

210248.1 Design and implement hardware circuits for combinational and sequential circuits to test performance.

Course Code and Name: 210246 - Data Structures Laboratory

210246.1

Implement/Apply effective and efficient data structures such as array, queue, stack and linked list in solving various Computer Engineering domain problems.

210246.2

Apply various data searching and sorting methods & can determine time complexity.

Course Code and Name: 210247 - OOP and Computer Graphics Laboratory

210247.1

Understand and apply the concepts like inheritance, polymorphism, exception handling and

generic structures for implementing reusable programming codes

210247.2

Analyze the concept of file and apply it while storing and retrieving the data from secondary

storage

210247.3

Analyze and apply computer graphics algorithms for line-circle drawing, scan conversion

and filling with the help of object oriented programming concepts.

210247.4

Understand the concept of windowing and clipping and apply various algorithms to fill and

clip polygons.

210247.5  Apply logic to implement, curves, fractals, animation and gaming programs.

Course Code and Name: 210249 - Business Communication Skills

210249.1

Express effectively through verbal/oral communication and improve listening skills

210249.2

Write precise briefs or reports and technical documents.

210249.3

Prepare for group discussion / meetings / interviews and presentations.

210249.4

Explore goal/target setting, self-motivation and practicing creative thinking

210249.5

Operate effectively in multi-disciplinary and heterogeneous teams through the knowledge of team work, Interpersonal relationships, conflict management and leadership qualities

Course code and Name: 210250 - Humanity and Social Science

210250.1

Aware of various issues concerning humans and society

210250.2

Aware of their responsibilities towards society

210250.3

Sensitized about broader issues regarding the social, cultural, economic and human aspects involved in social changes

210250.4

Able to understand the nature of the individual and the relationship between the self and the community

210250.5

Able to understand major ideas, values, beliefs and experiences that have shaped human history and culture

Course code and Name: 210251 - Audit Course 3-1 Green Construction and Design

210251.1

To understand the importance of environment friendly society

210251.2

To apply primary measures to reduce carbon emissions from their surroundings.

210251.3

To learn the role of IT solutions in the design of green buildings.

210251.4

To understand the use of software systems to complete statutory compliances involved in the design of a new home or office building through green construction.

Course code and Name: 207003- Engineering Mathematics III

207003.1

Solve Linear differential equations, essential in modelling and design of computer-based
systems.Apply the assembly language programming to develop small real life embedded application

207003.2

Apply concept of Fourier transform and Z-transform and its applications to continuous and
discrete systems and image processing.

207003.3

Apply Statistical methods like correlation and regression analysis and probability theory for
data analysis and predictions in machine learning.

207003.4

Solve Algebraic and Transcendental equations and System of linear equations using
numerical techniques.

207003.5

Obtain Interpolating polynomials, numerical differentiation and integration, numerical
solutions of ordinary differential equations used in modern scientific computing.

Course code and Name: 210252 - Data Structures and Algorithms

210252.1

Identify and articulate the complexity goals and benefits of a good hashing scheme for real-
world applications.

210252.2

Apply non-linear data structures for solving problems of various domain.

210252.3

Design and specify the operations of a nonlinear-based abstract data type and implement them in a high-level programming language.

210252.4

Analyze the algorithmic solutions for resource requirements and optimization

210252.5

Use efficient indexing methods and multiway search techniques to store and maintain data.

210252.6

Use appropriate modern tools to understand and analyze the functionalities confined to the
secondary storage.

Course code and Name: 210253 – Software Engineering

210253.1

Analyze software requirements and formulate design solution for a software.

210253.2

Design applicable solutions in one or more application domains using software engineering
approaches that integrate ethical, social, legal and economic concerns.

210253.3

Apply new software models, techniques and technologies to bring out innovative and
novelistic solutions for the growth of the society in all aspects and evolving into their
continuous professional development.

210253.4

Model and design User interface and component-level.

210253.5 Identify and handle risk management and software configuration management.
210253.6 Utilize knowledge of software testing approaches, approaches to verification and validation.
210253.7 Construct software of high quality – software that is reliable, and that is reasonably easy to
understand, modify and maintain efficient, reliable, robust and cost-effective software solutions.

Course code and Name: 210254 – Microprocessor

210254.1

Exhibit skill of assembly language programming for the application.

210254.2

Classify Processor architectures.

210254.3

Illustrate advanced features of 80386 Microprocessor.

210254.4

Compare and contrast different processor modes.

210254.5

Use interrupts mechanism in applications

210254.6

Differentiate between Microprocessors and Microcontrollers.

210254.7

Identify and analyze the tools and techniques used to design, implement, and debug
microprocessor-based systems.

Course code and Name:210255 –Principles of Programming Languages

210255.1

Make use of basic principles of programming languages.

210255.2

Develop a program with Data representation and Computations.

210255.3

Develop programs using Object Oriented Programming language: Java.

210255.4

Develop applications using inheritance, encapsulation, and polymorphism.

210255.5

Demonstrate Multithreading for robust application development.

210255.6

Develop a simple program using basic concepts of Functional and Logical programming
paradigm.

Course code and Name:210256–Data Structures and Algorithms Laboratory
210256.1

Understand the ADT/libraries, hash tables and dictionary to design algorithms for a
specific problem.

210256.2

Choose most appropriate data structures and apply algorithms for graphical solutions of
the problems.

210256.3

Apply and analyze non-linear data structures to solve real-world complex problems.

210256.4

Apply and analyze algorithm design techniques for indexing, sorting, multi-way searching,
file organization and compression.

210256.5

Analyze the efficiency of a most appropriate data structure for creating efficient
solutions for engineering design situations.

Course code and Name:210257- Microprocessor Lab
210257.1 Understand and apply various addressing modes and instruction sets to implement
assembly language programs
210257.2 Apply logic to implement code conversion
210257.3 Analyze and apply logic to demonstrate processor mode of operation
 Course code and Name:210258- Project Based Learning II
 210258.1 Identify the real-life problem from a societal need point of view
 210258.2 Choose and compare alternative approaches to select most feasible one
 210258.3 Analyze and synthesize the identified problem from a technological perspective 
 210258.4 Design a reliable and scalable solution to meet challenges 
210258.5 Evaluate the solution based on the criteria specified 
210258.6 Inculcate long-life learning attitude toward the societal problems 
Course code and Name:210259- Code of Conduct
210259.1 Understand the basic perception of profession, professional ethics, various moral and social issues, industrial standards, code of ethics and role of professional ethics in engineering field.
210259.2 Aware of professional rights and responsibilities of an engineer, responsibilities of an engineer for safety and risk-benefit analysis.
210259.3 Understand the impact of the professional Engineering solutions in societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
210259.4 Acquire knowledge about various roles of engineers in variety of global issues and able to apply ethical principles to resolve situations that arise in their professional lives.
Third Year Engineering

Course Code and Name: 310241: Database Management Systems

310241.1

Analyze and design Database Management System using ER model

310241.2

Implement database queries using database languages

310241.3

Normalize the database design using normal forms

310241.4

Apply Transaction Management concepts in real-time situations

310241.5

Use NoSQL databases for processing unstructured data

310241.6

Differentiate between Complex Data Types and analyze the use of appropriate data type

Course Code and Name: 310242: Theory of Computation

310242 .1

Understand formal language, translation logic, essentials of translation, alphabets, and language representation and apply it to design Finite Automata and its variants

310242 .2

Construct regular expression to present regular language and understand pumping lemma for RE

310242 .3

Design Context-Free Grammars and learn to simplify the grammar

310242 .4

Construct Pushdown Automaton model for the Context Free Language

310242 .5

Devise Turing Machine for the different requirements outlined by theoretical computer science

310242 .6

Analyze different classes of problems, and study concepts of NP-completeness

Course Code and Name: 310243- Systems Programming and Operating System

310243.1

Classify system software and application software.

310243.2

Analyze and design system software.

310243.3

Illustrate and synthesize various compilation tools like LEX, YACC.

310243.4

Recognize various roles and responsibilities of  OS.

310243.5

Demonstrate and apply knowledge for the development of  OS functionalities

310243.6

Investigate and design complex software tools through effective teamwork.

Course Code and Name:  310244- Computer Networks and Security

310244.1

Summarize fundamental concepts of Computer Networks, architectures, protocols, and  technologies

310244.2

Illustrate the working and functions of the data link layer

310244.3

Analyze the working of different routing protocols and mechanisms 

310244.4

Implement client-server applications using sockets

310244.5

Illustrate role of application layer with its protocols, client-server architectures

310244.6

Comprehend the basics of Network Security

Course Code and Name: 310245A- Elective I- Internet of Things and Embedded Systems

310245A.1

Understand the fundamentals and need of Embedded Systems for the Internet of Things

310245A.2

Apply IoT enabling technologies for developing IoT systems

310245A.3

Apply design methodology for designing and implementing IoT applications 

310245A.4

Analyze IoT protocols for making IoT devices communication 

310245A.5

Design cloud based IoT systems 

310245A.6

Design and Develop secured IoT applications 

Course Code and Name: 310246- Database Management Systems Laboratory

310246.1

Design E-R Model for given requirements and convert the same into database tables

310246.2

Design schema inappropriate normal form considering actual requirements

310246.3

Implement SQL queries for given requirements, using different SQL concepts

310246.4

Implement PL/SQL Code block for given requirements

310246.5

Implement NoSQL queries using MongoDB

310246.6

Design and develop applications considering actual requirements and using database concepts

Course Code and Name: 310247-Computer Networks and Security Laboratory

310247.1

Analyze the requirements of network types, topology and transmission media

310247.2

Demonstrate error control, flow control techniques and protocols and analyze them
310247.3 Demonstrate the subnet formation with IP allocation mechanism and apply various routing
algorithms
310247.4 Develop Client-Server architectures and prototypes
310247.5 Implement web applications and services using application layer protocols
310247.6 Use network security services and mechanisms

Course Code and Name: 310248-Laboratory Practice I

310248.1  Implement language translators
310248.2  Use tools like LEX and YACC
310248.3 Implement internals and functionalities of Operating System
310248.4 Design IoT and Embedded Systems based application
310248.5 Develop smart applications using IoT
310248.6 Develop IoT applications based on cloud environment

Course Code and Name:  310249 – Seminar and Technical Communication

310249.1

Identify and Analyze recent topics of any domain 

310249.2

 Enhance technical writing skills.

310249.3

 Identify an engineering problem, analyze it and propose a work plan to solve it.
310249.4 Communicate with professional technical presentation skills and Apply modern documentation tools to write the report

Course Code and Name: 310250 - Audit Course 5

310250.1

Understand and classify various cybercrimes

310250.2

Understand how criminals plan for the cybercrimes

310250.3

Apply tools and methods used in cybercrime 

310250.4

Analyze the examples of few case studies of cybercrimes

Course Code and Name: 310251- Data Science and Big Data Analytics

310251 .1

Analyze needs and challenges of Data Science and Big Data analytics.

310251 .2

Apply statistics to Big Data

310251 .3

Apply the Life Cycle of Big Data to Real World Problems.

310251 .4

Implement Big Data analytics with Python Programming.

310251 .5

Implement Data Visualization using Data Visualization tools in Python Programming.

310251 .6

Design and implement Big Databases using Hadoop Ecosystem.

Course Code and Name: 310252-Web Technology

310252.1

Implement and analyze behavior of web pages using HTML and CSS

310252.2

Apply the client side technologies for web development

310252.3

Analyze the concepts of Servlet and JSP

310252.4

Analyze the Web services and frameworks

310252.5

Apply the server side technologies for web development

310252.6

Create the effective web applications for business functionalities using latest web development platform

Course Code and Name: 310253 - Artificial Intelligence

310253.1

Identify and apply suitable Intelligent agents for various AI applications

310253.2

Build smart system using different informed search / uninformed search or heuristic approaches

310253.3

Identify competitive environment and apply  different strategies to solve adversarial search problems

310253.4

Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem

310253.5

Implement ideas underlying modern logical inference systems

310253.6

Represent complex problems with expressive yet carefully constrained language of representation

Course Code and Name: 310254C: Elective II- Cloud Computing

310254.1

Understand the different Cloud Computing environment

310254.2

Use appropriate data storage technique on Cloud, based on Cloud application

310254.3

Analyze Virtualization technology and install Virtualization software

310254.4

Develop and deploy applications on Cloud

310254.5

Apply security in cloud applications

310254.6

Use advanced techniques in Cloud Computing

Course Code and Name: 310255 - Internship

310255 .1

To demonstrate professional competence through industry internship.

310255 .2

To apply knowledge gained through internships to complete academic activities in a

professional manner

310255 .3

To choose appropriate technology and tools to solve a given problem.

310255 .4

To demonstrate abilities of a responsible professional and use ethical practices in day to day life.

310255 .5

Creating network and social circle, and developing relationships with industry people

310255 .6

To analyze various career opportunities and decide on carrier goals.

Course code and Name: 310256-  Data Science and Big Data Analytics Laboratory

310256.1

 Apply principles of Data Science for the analysis of real time problems

310256.2

 Implement data representation using statistical methods
310256.3 Implement and evaluate data analytics algorithms
310256.4 Perform text preprocessing
310256.5 Implement data visualization techniques
310256.6 Use cutting edge tools and technologies to analyze Big Data

Course Code and Name: 310257 - Web Technology Laboratory

310257.1

Understand the importance of website planning and website design issues

310257.2

Apply the client side and server side technologies for web application development

310257.3

Analyze the web technology languages, frameworks and services

310257.4 Create three tier web based applications

Course Code and Name: 310258: Laboratory Practice II

310258.1 Design a system using different informed search / uninformed search or heuristic approaches
310258.2 Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning
310258.3 Design and develop an interactive AI application

Course Code and Name: 310259: Leadership and personality development (Audit Course 6)

310259.1

Express effectively through communication and improve listening skills

310259.2

Develop effective team leadership abilities.

310259.3

Explore self-motivation and practice creative/new age thinking.

310259.4

Operate effectively in heterogeneous teams through the knowledge of teamwork, people skills, and leadership qualities.

Final Year Engineering

Course code and Name: 410241 : Design and Analysis of Algorithms

410241.1

Formulate the problem

410241.2

Analyze the asymptotic performance of algorithms

410241.3

Decide and apply algorithmic strategies to solve given problem

410241.4

Find optimal solution by applying various methods

410241.5

Analyze and Apply Scheduling and Sorting Algorithms

410441.6

Solve problems for multi-core or distributed or concurrent environments

Course code and Name: 410242 :Machine Learning

410242.1

Identify the needs and challenges of machine learning for real time applications

410242.2

Apply various data pre-processing techniques to simplify and speed up machine learning algorithms.

410242.3

Select and apply appropriately supervised machine learning algorithms for real time                    applications

410242.4

Implement variants of multi-class classifier and measure its performance.

410242.5

Compare and contrast different clustering algorithms.

410242.6

 Design a neural network for solving engineering problems.

Course code and Name: 410243: Blockchain Technology

410243.1

Interpret the fundamentals and basic concepts in Blockchain

410243.2

Compare the working of different blockchain platforms

410243.3

Use Crypto wallet for cryptocurrency based transactions

410243.4

Analyze the importance of blockchain in finding the solution to the real-world problems

410243.5

Illustrate the Ethereum public block chain platform

410243.6

Identify relative application where block chain technology can be effectively used  and implemented.

Course code and Name: Elective IV 410244(C): Cyber Security and Digital Forensics

410244(C).1

Analyze threats in order to protect or defend it in cyberspace from cyber-attacks

410244(C).2

Build appropriate security solutions against cyber-attacks.

410244(C).3

Underline the need of digital forensic and role of digital evidences

410244(C).4

Explain rules and types of evidence collection

410244(C).5

Analyze, validate and process crime scenes

410244(C).6

Identify the methods to generate legal evidence and supporting investigation reports

Course code and Name: Elective V 410245(A): Information Retrieval

410245(A).1

Implement the concept of Information Retrieval

410245B(A).2

Generate quality information out of retrieved information

410245B(A).3

Apply techniques such as classification, clustering, and filtering over multimedia to analyze the information

410245B(A).4

Evaluate and analyze retrieved information

410245B(A).5

Understand the data in various Application and Extensions of information retrieval

410245B(A).6

Understand Parallel information retrieving and web structure

Course code and Name: Elective V 410245(D): Software Testing and Quality Assurance

410245(D).1

Describe fundamental concepts in software testing such as manual testing, automation testing and software quality assurance

410245(D).2

Design and Develop project test plan, design test cases, test data, and conduct test operations.

410245(D).3

Apply recent automation tool for various software testing for testing software.

410245(D).4

Apply different approaches of quality management, assurance, and quality standard to software system

410245(D).5

Apply and analyze effectiveness Software Quality Tools

410245(D).6

Apply tools necessary for efficient testing framework.

Course code and Name:410246:Laboratory Practice III

410246.1

Apply preprocessing techniques on datasets.

410246.2 Implement and evaluate linear regression and random forest regression models.
410246.3 Apply and evaluate classification and clustering techniques.
410246.4 .5Analyze performance of an algorithm.
410246.5 Implement an algorithm that follows one of the following algorithm design strategies: divide and conquer, greedy, dynamic programming, backtracking, branch and bound.
410246.6 Interpret the basic concepts in Blockchain technology and its applications

Course code and Name: 410247:Laboratory Practice IV

410247.1

Identify various vulnerabilities and demonstrate using various tools.

410247.2

Apply information retrieval tools for natural language processing

410247.3

Apply software testing tools to perform automated testing

Course code and Name: 410248:Project Work Stage I

410248.1

Solve real life problems by applying knowledge.

410248.2

Analyze alternative approaches, apply and use most appropriate one for feasible solution

410248.3

Write precise reports and technical documents in a nutshell.

410248.4

Participate effectively in multi-disciplinary and heterogeneous teams exhibiting team work
410248.5

Inter-personal relationships, conflict management and leadership quality.

Course code and Name: 410259  Audit Course 7 – I: MOOC-learn New Skill

410249(I).1

To acquire additional knowledge and skill.

Course code and Name: 410250 - High Performance Computing

410250.1

Understand various Parallel Paradigm

410250.2

Design and Develop an efficient parallel algorithm to solve given problem

410250.3

Illustrate data communication operations on various parallel architecture

410250.4

Analyze and measure performance of modern parallel computing systems

410250.5

Apply CUDA architecture for parallel programming

410250.6

Analyze the performance of HPC applications

 Course code and Name: 410251 - Deep Learning

410251.1

Understand the basics of Deep Learning and apply the tools to implement deep learning applications

410251.2

Evaluate the performance of deep learning models (e.g., with respect to the bias-variance tradeoff, overfitting and underfitting, estimation of test error).

410251.3

To apply the technique of Convolution (CNN) and Recurrent Neural Network (RNN) forimplementing Deep Learning models

410251.4

To implement and apply deep generative models.

410251.5

Construct and apply on-policy reinforcement learning algorithms

410251.6

To Understand Reinforcement Learning Process

 Course code and Name: 410254- Cloud Computing

410254.1

Describe basics concepts of cloud computing

410254.2

Describe and Demonstrate data storage and security on cloud file systems.

410254.3

Explain and apply virtualization and its types

410254.4

Design and develop solutions to real world problems by Amazon web services

410254.5

Describe and learn fundamental concepts of IoT and Ubiquitous Computing

410254.6

Describe the future trends of cloud computing

Course code and Name: 410254 - LP III

410254.1

Know how to diagnose and apply corrections to some problems with the generalized linear model found in real data

410254.2

To Implement and provide interpretable predictions by classification method (Decision Tree)

410254.3 Build appropriate security solutions against cyber attacks
410254.4 Design and implement data encryption standards and cyber operation techniques

 Course code and Name: 410255 - LP IV

410255.1

 Design and development of certain scientific and commercial application using computational neural network models, fuzzy models, fuzzy clustering applications and genetic algorithms in specified applications.
410255.2 Configure and Implement IaaS,Paas, and SaaS in cloud solutions

 Course code and Name: 410256- Project II

410256.1

Apply modern software tools to implement the software solution of the problem 

410256.2

Apply modern software tools to design test cases and perform testing of the implemented software solution and deploy the software solution after successful testing

410256.3

Communicate effectively by participating in various competitions, publishing and presenting project work through conference / journal paper

Marathwada Mitra Mandal's College of Engineering

Survey No. 18, Plot No. 5/3, Near Vandevi Temple, Karvenagar, Pune 411052.

Follow us on