computer-science-engineering/course

Course Outcome

Jaipur Engineering College & Research Centre Department of Computer Science and Engineering
COURSE OUTCOMES (2019-20)
S.No.	Sem	Subject Code	Subject	Course Outcomes
1	3	3CS2-01	Advanced Engineering Mathematics	CO1Solve the Linear, Non Linear and Transportation problems by the Optimization Techniques
				CO2Explain the concept of divisibility, Congruence, Prime and Prime factorization. Describe the properties of the Group, Ring and Field.
				CO3Solve the Ordinary and Partial Differential equations by use of Laplace Transform
				CO4 Use numerical methods for Differentiation and Integration, solve Difference and Differential equations and also develop the algorithm for numerical methods.
2	3	3CS1-03	Managerial Economics and Financial Accounting	CO1 Apply Economic principles to management decisions
				CO2- Understand the market systems & the pricing theory based on demand & supply, production & cost analysis
				CO3- Able to analyze Financial interpretation on the basis of basic financial concepts

3	3	3CS3-04	Digital Electronics	CO1: Understanding Boolean algebra, conversions and minimization techniques.
				CO2: Creating various combinational and sequential circuits
				CO3: Understanding different logic families
				CO4 Creating of circuits using different minimization techniques.
4	3	3CS4-05	Data Structures and Algorithms	CO1 Understand different type of data structures and their measuring parameters
				CO2 Implement various data structures
				CO3. Analyze various measuring parameters and data structures(Linear/Non-Linear)
				CO4 Apply the knowledge of various data structures in basic applications of programming
5	3	3CS4-06	Object Oriented Programming	CO1: Identify and analyze Object Oriented Programming concepts in designing solution of a problem.
				CO2: Apply constructor, friend function and class when analyzing a problem statement.
				CO3: Apply and analyze features of inheritance and polymorphism for developing solution of a complex problem.
				CO4: Identify and handle exceptions in an object oriented program. Perform generic programming using templates.
6	3	3CS4-07	Software engineering	CO1 understand the purpose of designing a system and evaluate the various models suitable as per its requirement analysis
				CO2 understand and apply software project management, effort estimation and project scheduling
				CO3 formulate requirement analysis, process behavior and software designing
				CO4 Implement the concept of object oriented analysis modeling with the reference of UML and advance SE tools
7	4	4CS2-01	Dicrete Mathematical Structures	CO1. Understand the concepts of Sets, Relations, Functions and their Operations.
				CO2. Learn the concept of Propositional Logic and Finite State Machines.
				CO3. Discuss and develop the Posets, Hasse Diagram, Lattices and Combinatorics.
				CO4. Use and apply the concept of Algebraic Structures, Groups, Rings and Graph Theory.
8	4	4CS1-02	Accounting /Technical Communication	CO1: able to express themselves better in technical writing by understanding the concept, style and methodology used in Technical communication.
				CO2: able to pursue higher studies by working on all aspects of English Language and also develop a better understanding of process and design of technical texts.
				CO3: able to get an in depth knowledge of technical communication used in professional life by getting to know all the forms and aspects of Technical Communication.
Jaipur Engineering College & Research Centre Department of Computer Science and Engineering
COURSE OUTCOMES (2019-20)
S.No.	Sem	Subject Code	Subject	Course Outcomes
9	4	4CS3-04	Microprocessors and Interfaces	CO1: Demonstrate the taxonomy of 8085 Microprocessor Architecture and knowledge of contemporary microprocessor and their functionalities
				CO2: Demonstrate Assembly Language Programming using the various addressing Modes, Debugging Technique and instruction set of 8085 Microprocessor.
				CO3: Understand the concept of advance assembly language programming and its implementation
				CO4: Analyze and design of 8255,8254,8279,8251 and interfacing with various devices.
10	4	4CS4-05	Database Management	CO1: Design an ER model for an enterprise
				CO2: Perform and analysis Query database using Relational Algebra, Relational Calculus and SQL
				CO3: Apply normalization based on functional dependency.
				CO4: Illustrate for serialzability among concurrent transactions and apply concurrency control protocols, and Outline database recovery techniques
11	4	4CS4-06	Theory of Computation	CO1: Examine Finite Automata and Regular Expression.
				CO2: Classify regular sets of Regular Grammars.
				CO3: Categorize Context Free Language and Design Pushdown automata.
				CO4: Design Turing machine, compare Chomsky hierarchy languages and analyze Linear bounded automata.
12	4	4CS4-07	Data Communication and computer network	CO1: Understand the principles of Network Protocols and OSI and TCP/IP model.
				CO2: Analyze and implement the concepts of various protocols of Error Detection and Correction
				CO3: Analyze and apply the concept of various Routing algorithms and principles of reliable data transfers along with transactional TCP and associated congestion control.
				CO4: Classify role of application layer, its various elements like WWW, DNS FTP and network security.
13	5	5CS3-01	Information Theory & Coding	CO1: Apply the fundamental concepts of information theory viz. entropy, mutual information and channel capacity in communication system.
				CO2: Examine the principles of source coding and data transmission.
				CO3: Analyze linear block code, cyclic code and Convolution code.
				CO4: Evaluate information theoretic methods to novel settings of encoding and decoding techniques.
14	5	5CS4-02	Compiler Design	CO1: Compare different phases of compiler and design lexical analyzer.
				CO2: Examine syntax and semantic analyzer by understanding grammars.
				CO3: Illustrate storage allocation and its organization & analyze symbol table organization.
				CO4: Analyze code optimization, code generation & compare various compilers.
15	5	5CS4-03	Operating Sustem	1. Demonstrate the concepts, structure design of operating system and analysis of process management.
				2. Recognize the concepts, implementation of memory management policies, design issues of pagging and virtual memory.
				3. Understand and design the concepts of deadlock handling and device management.
				4. Analyze the file system structure, implementation process and acquainted with various types of operating systems.
16	5	5CS4-04	Computer Graphics & Multimedia	Co1. Implement geometric images using graphical input techniques
				Co2. Design and develop images with the help of 2D & 3D transformations.
				CO3. Identify visible surfaces for generation of realistic graphics display and curves representation.
				CO4.Analyze multimedia and animation techniques.
17	5	5CS4-05	Analysis of Algorithms	CO1: Understand and analyzing the algorithms with different techniques
				CO2: Discuss various design strategies for implementing algorithms
				CO3: Implement various divide and conquer,greedy and dynamics statergies based algorithms
				CO4: Classify the algorithms and problems in various categories like NP, NP-Hard & NP-Complete
18	5	5CS5-12	Human Computer Interaction	CO1: Apply an interactive design process and universal design principles to designing HCI systems.
				CO2: Describe typical human–computer interaction (HCI) models and styles, as well as various historic HCI paradigms.
				CO3: Describe and use HCI design principles, standards, Task Models and guidelines.
				CO4: Identify relevance of CA and object oriented modeling.
19	6	6CS3-01	Digital Image processing	CO1: Understand the fundamental aspects of Image Processing.
				CO2 Apply the mathematical foundations for image enhancement in spatial and frequency domains.
				CO3 Compare and Implement filters for various types of noise.
				CO4 Evaluate various coding algorithms used in image processing and compression.
20	6	6CS4-02	Machine Learning	CO1.Understand the concept of machine learning and apply supervised learning techniques.
				CO2.Illustrate various unsupervised leaning algorithm for clustering, and market basket analysis.
				CO3:Analyze statistical learning theory for dimension reduction and model evaluation in machine learning.
				CO4:Apply the concept of semi supervised learning, reinforcement learning and recommendation system.
21	6	6CS4-03	Information Security system	CO1:To Identify different security attacks, Mechanism, classical and modern encryption techniques
				CO2:To Apply random number generation, AES and S-box theory and Implement public key cryptosystem
				CO3:To Evaluate message authentication and digital signatures using hash function and IP security.
				CO4:To Analyze & Implement Water marking technique and strong password protocol in Information Security System
22	6	6CS4-04	Computer Architecture and Organization	Co1: Ability to understand the functional units of the processor and various micro operations.
				Co2: Analyze different architectural and organizational design issues that can affect the performance of a computer.
				Co3. Examine the airthmetic problems and principles of computer design.
				Co4. Describe and examine the concept of cache memory, Virtual memory and I/O organization.
23	6	6CS4-05	Artificial Intelligence	CO1: Understand the concept of Artificial Intelligence and apply various Searching techniques.
				CO2: Illustrate various Game Playing in Artificial Intelligence system.
				CO3: Analyze different Knowledge Representation Techniques, Planning, Uncertain Knowledge and Reasoning.
				CO4: Apply basic concepts of Learning, Natural Language Processing, Robotics and Expert Systems in AI.
24	6	6CS4-06	Cloud Computing	CO1: Identify the basics, risks, challenges and ethical issues in cloud computing.
				CO2: Design the architecture for parallel and distributed cloud computing
				CO3: Identify the various threats related to cloud and as well as disaster recovery related to same.
				CO4: Analyze the cloud platforms in IT industry and various case studies on the industries providing cloud services.
25	6	6CS5-11	Distributed System	CO1: Understand distributed system concepts and desired properties of such systems.
				CO2: Understand and analyze the problems and challenges associated with Concurrent process, RPC & RMI
				CO3: Apply key distributed system properties and evaluate various distributed systems.
				CO4: Design and deploy distributed system using various mechanisms.
25	7	7CS1A	Cloud Computing	1. Implement the cloud computing architecture i.e, the model, types of clouds, various service models and programming concepts.
				2. Acquire knowledge about the recent trends in area of cloud computing like Hadoop, programming of Google app engine and virtualization technology and resource management.
				3. Identify the various threats related to cloud and as well as disaster recovery related to same.
				4. Analyze the cloud platforms in IT industry and various case studies on the industries providing cloud services.
26	7	7CS2A	Information Security system	CO1:To Identify different security attacks, Mechanism, classical and modern encryption techniques
				CO2:To Apply random number generation, AES and S-box theory and Implement public key cryptosystem
				CO3:To Evaluate message authentication and digital signatures using hash function and IP security.
				CO4:To Analyze & Implement Water marking technique and strong password protocol in Information Security System
27	7	7CS3A	Data Mining & Warehousing	CO1: Understand the concepts and benefits of Data mining in the real time scenario.
				CO2: Acquire basic knowledge about concept description of data mining algorithms
				CO3: Illustrate concept of Data Warehouses with OLAP applications and OLAP deployment.
				CO4: Design a data mart for management of information.
28	7	7CS4A	Computer Aided Design for VLSI	CO1: Aquire understanding of microelectronic circuit design to synthesize a digital circuit.
				CO2: Analyze various resource optimizaton algorithms and understanding binding process..
				CO3:Analyze various VLSI Physical design algorithms to get optimized design.
				CO4: Identify and demonstrate VLSI design coding tools.
29	7	7CS5A	Compiler Construction	CO1: Compare different phases of compiler and design lexical analyzer.
				CO2: Examine syntax and semantic analyzer by understanding grammars.
				CO3: Illustrate storage allocation and its organization & analyze symbol table organization.
				CO4: Analyze code optimization, code generation & compare various compilers.
30	7	7CS6.3A	Data Compression Techniques	CO1: Apply fundamental concepts in information theory and their inter-relationships.
				CO2: Implement key theorems for various encoding methods.
				CO3: Analyze and implement wavelet multi-resolution and its scaling function for compression.
31	8	8CS1A	Mobile Computing	CO1:To Identify the characteristics of mobile computing, adaptation and mobility management
				CO2: To Analyze and explore Data dissemination & management techniques
				CO3: To Identify Service Discovery & standardization Methods.
				CO4: To Understand the role of Mobile IP and Ad hoc Networks and understand different protocols.
32	8	8CS2A	Digital Image Processing	CO1: Understand the fundamental aspects of Image Processing.
				CO2 Apply the mathematical foundations for image enhancement in spatial and frequency domains.
				CO3 Compare and Implement filters for various types of noise.
				CO4 Evaluate various coding algorithms used in image processing and compression.
33	8	8CS3A	Distributed Systems	CO1: Understand distributed system concepts and desired properties of such systems.
				CO2: Understand and analyze the problems and challenges associated with Concurrent process, RPC & RMI
				CO3: Apply key distributed system properties and evaluate various distributed systems.
				CO4: Design and deploy distributed system using various mechanisms.
34	8	8CS4.2A	Real Time Systems	CO1: Understand and analyze various constraints, dependencies and parameters of Real Time Software.
				CO2: Compare & implement various Real time Scheduling algorithms.
				CO3: Analyze and construct periodic task scheduling using flexible computation techniques
				CO4: Comapre and contrast various protocols for assigning jobs to processor