Course Outcomes (CO)

CO Number

CO statement

C211.1

Solve linear differential equations, essential in modeling and design of computer based system.

C211.2

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

C211.3

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

C211.4

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

C211.5

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

CO Number

CO statement

C213.1

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

C213.2

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

C213.3

Apply non-linear cyclic data structures for solving problems of variousdomain.

C213.4

Analyze the algorithmic solutions for resource requirements and optimization

C213.5

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

C213.6

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

CO Number

CO statement

C214.1

Apply software models, techniques and technologies to bring out innovative solutions.

C214.2

Analyze software requirements and formulate design solution for a software

C214.3

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

C214.4

Model and design User interface and component-level.

C214.5

Identify and handle risk management and software configuration management

C214.6

Utilize knowledge of software testing approaches to construct software of high quality.

CO Number

CO statement

C215.1

Explain 80386 processor features, various addressing modes and Instruction Set.

C215.2

Explain the concept of Processor Initialization, Bus Cycles, 80386 system architecture.

C215.3

Explain the Descriptor Table, Descriptor Table register in Memory Management.

C215.4

Illustrate Protection applies to segment translation and page translation.

C215.5

Illustrate Multitasking feature and Virtual 8086 Mode of 80386 Microprocessor.

C215.6

Demonstrate the interrupts and Exceptions handling mechanism of 80386.

C215.7

Differentiate between Microprocessors and Microcontrollers.

CO Number

CO statement

C216.1‌

Make‌ ‌use‌ ‌of‌ ‌basic‌ ‌principles‌ ‌of‌ ‌programming‌ ‌languages.‌

C216.2

Develop‌ ‌a‌ ‌program‌ ‌with‌ ‌Data‌ ‌representation‌ ‌and‌ ‌Computations‌

C216.3

Develop‌ ‌programs‌ ‌using‌ ‌Object‌ ‌Oriented‌ ‌Programming‌ ‌language‌ :‌ ‌Java‌

C216.4

Develop‌ ‌application‌ ‌using‌ ‌inheritance,‌ ‌encapsulation,‌ ‌and‌ ‌polymorphism‌

C216.5

Demonstrate‌ ‌Multithreading‌ ‌for‌ ‌robust‌ ‌application‌ ‌development.‌

C216.6

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

CO Number

CO statement

C217.1

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

C217.2

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

C217.3

Apply and analyze nonlinear data structures to solve real world complex problems.

C217.4

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

C217.5

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

Course Name: Microprocessor Laboratory

CO statement

C218.1

Understand and apply various addressing modes and instruction set to implement assembly language programs

C218.2

Apply logic to implement code conversion

C218.3

Analyze and apply logic to demonstrate processor mode of operation

Course Name: Project Based Learning II

Course Code 210258

CO Number

CO statement

C218.1

Identify the real life problem from societal need point of view

C218.2

Choose and compare alternative approaches to select most feasible one

C218.3

Analyze and synthesize the identified problem from technological perspective

C218.4

Design the reliable and scalable solution to meet challenges

C218.5

Evaluate the solution based on criteria specified.

C218.6

Inculcate long life learning attitude towards the societal problems

Course Name: Code of conduct

Course Code 210259

CO Number

CO statement

C220.1

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 fields

C220.2

Aware of professional rights and responsibilities of an engineer, responsibilities of an engineer for safety and risk benefit analysis.

C220.3

Understand the impact of the professional Engineering solutions in societal and Environmental contexts

C220.4

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.

CO Number

CO statement

C310.1

Formulate the problem

C310.2

Analyze the asymptotic performance of algorithms

C310.3

Decide and apply algorithmic strategies to solve given problem

C310.4

Find optimal solution by applying various methods

CO Number

CO statement

C311.1

To analyze and synthesize the fundamental concepts related to system software

C311.2

To develop solution using tools like LEX & YACC

C311.3

To develop operating system functions.

C311.4

To make use of disk scheduling algorithm for better utilization of memory management

CO Number

CO statement

C311.1

To analyze and synthesize the fundamental concepts related to system software

C311.2

To develop solution using tools like LEX & YACC.

C311.3

To develop operating system functions.

C311.4

To make use of disk scheduling algorithm for better utilization of memory management

C312.1

Implement an architectural design for IoT for specified requirement

C312.2

Choose between available technologies and devices for stated IoT challenge

C312.3

Expertise to make everything smart by involving appropriate sensors, actuators, processing elements, internet gateways, and cloud computing techniques

C312.4

Solve the given societal challenge using IoT

CO Number

C313.1

Analyze the problem statement (SRS) and choose proper design technique for designing web-based/ desktop application

C313.2

Design and analyze an application using UML modeling as fundamental tool

C313.3

Apply design patterns to understand reusability in OO design

C313.4

Decide and apply appropriate modern tool for designing and modeling

C313.5

Decide and apply appropriate modern testing tool for testing web-based/desktop application

CO Number

CO statement

314.1

Analyze given assignment to select sustainable web development design Methodology

314.2

Develop web based application using suitable client side and server side web technologies

314.3

Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management

CO Number

CO statement

315.1

Be able to be familiar with basic technical writing concepts and terms, such as audience analysis, jargon, format, visuals, and presentation

315.2

Be able to improve skills to read, understand, and interpret material on technology

315.3

Improve communication and writing skills

CO Number

CO statement

316.1

Implement an architectural design for IoT for specified requirement

316.2

Choose between available technologies and devices for stated IoT challenge

316.3

Expertise to make everything smart by involving appropriate sensors, actuators, processing elements, internet gateways, and cloud computing techniques

316.4

Solve the given societal challenge using IoT

CO Number

CO statement

C410.1

Distinguish different learning based applications

C410.2

Apply different preprocessing methods to prepare training data set for machine learning.

C410.3

Apply Regression techniques for solving prediction problem

C410.4

Implement Naïve Bayes and Support Vector Machine for solving classification problem

C410.5

Apply Decision Trees, clustering for solving classification problem and study Ensemble Learning

C410.6

Apply Clustering Techniques for solving classification problem and study Fundamentals of Recommendation Systems & Deep Networks.

CO Number

CO statement

C410.1

Distinguish different learning based applications

C410.2

Apply different preprocessing methods to prepare training data set for machine learning.

C410.3

Apply Regression techniques for solving prediction problem

C410.4

Implement Naïve Bayes and Support Vector Machine for solving classification problem

C410.5

Apply Decision Trees, clustering for solving classification problem and study Ensemble Learning

C410.6

Apply Clustering Techniques for solving classification problem and study Fundamentals of Recommendation Systems & Deep Networks

CO Number

CO statement

C411.1

Apply Security basic principle, concepts and approaches in information and cyber security.

C411.2

Implement cryptographic algorithm and Techniques to analyze the security protections and limitations provided by today's technology.

C411.3

Identify and Analyze information security and cyber security threats in order to protect or defend it in cyberspace from cyber-attacks.

C411.4

Build appropriate security solutions against cyber-attacks.

CO Number

CO statement

C412.1

Apply the concepts and different phases of compilation with compile time error handling.

C412.2

Compare top down with bottom up parsers, and develop appropriate parser to produce parse tree representation of the input.

C412.3

Design syntax directed translation schemes for a given context free grammar.

C412.4

Compare and constrast different storage management schemes.

C412.5

Build the logic to generate Machine code from intermediate code.

C412.6

Apply optimization techniques to intermediate code and generate machine code for high level language program

CO Number

CO statement

C413.1

To Apply basics of data mining for processing on data.

C413.2

Identify the appropriateness and need of Knowledge Delivery

C413.3

Identify the appropriateness and need of Decision Making Concepts

C413.4

Apply Data Pre-processing techniques to identify the hidden patterns in the data

C414.5

Analyze the mining process by choosing Classification & Unsupervised Learning algorithms

C415.6

Select best Business Intelligence technique by applying on different applications

CO Number

CO statement

C414.1

Design and implement supervised machine learning algorithm.

C414.2

Design and implement unsupervised machine learning algorithm.

C414.3

Implement different learning models.

C414.4

Implement cryptographic algorithm and Techniques to analyze the security protections and limitations provided by today's technology.

C414.5

Analyze information security and cyber security threats and Build appropriate security solutions against cyber-attacks.

CO Number

CO statement

C415.1

Analyze the output generated by the process of Business Intelligence.

C415.2

Explore the hidden patterns in the data

C415.3

Implement Lex and Yacc

CO Number

CO statement

C416.1

Show evidence of independent investigation

C416.2

Critically analyze the results and their interpretation.

C416.3

Report and present the original results in an orderly way and placing the open questions in the right perspective.

C416.4

Link techniques and results from literature as well as actual research and future research lines with the research

C416.5

Appreciate practical implications and constraints of the specialist subject