Department of Computer Science Engineering

Computer Science Department is one of the leading departments in the campus providing technology-oriented programmes to meet today's needs of Industry. The department has highly qualified, experienced, and dedicated teaching faculty to impart knowledge in various fields including recent technologies helping students to take on any problem related to Computer Science. This has been one of the most lucrative and competitive course to study since its inception in Indian Engineering Colleges. This is really an excellent field to have opportunities both in software companies and higher studies. As computing is extensively applied to almost every walk of life, it creates massive jobs for Computer Engineering students. The Department of Computer Science and Engineering is renowned for cutting edge research and for imparting state of the art education through Industry Certified Labs, Latest software Technologies & Industrial collaborations. Arya group of college being the best engineering in college in Jaipur, Rajasthan provides the huge research platform to its student for their better growth and development.

VISION AND MISSION:

Vision:To become the centre of Excellence in the area of Computer Science and Engineering and to meet the needs of the society and industry in self-sustainable manner.

Mission:To impart quality education and build a robust foundation of Computer Science and Engineering subjects among students so that they become capable to solve real-world problems.

Salient Features:

The department has young, energetic and highly qualified faculty members with PhD, PhD Pursuing and rest with M.Tech. Degree.
The department has state of art research facilities like WIPRO lab, Advance Hardware Lab and Robotics Lab where students can explore and learn latest technologies and develope new projects.
The Department has adequate teaching aids like Black/White board , Smart Board , LCD Projectors, Hand written notes and other teaching aids beneficial to the students.
The department consists of a highly advance server with facilities for conducting various online exams like BARC, RRB, RPSC, BANK Exam, High Court Exam and etc.
The Department collaborates with the WIPRO MTLC which is the first nodal centre in Rajasthan where students develope projects based on FPGA and Embeded system which are selected by WIPRO Bangalore.
The Department publishes magazine and news letter quarterly that keeps students up-to-date.
The department provides its resources for ARYA .Net Club that builds technical and Leadership qualities in students. Under this club students have developed various type of projects like HelloPandit.com, Rtupaper.com and Engineeringplanet.com.
We conduct Tej Scholarship test to promote students.
We run a program in collabartion with Infosys named as Infosys Campus Connect that fill the gap between academics and industries.
The department conducts placement online exam (POLE) for the various placement drive.
The department organises MSIT traning program with the collabration of Microsoft for students of III year imparting knowledge for latest programming language and Technologies.
The Department has advance Robotics Lab which was developed with the efforts of students of our department providing hardware and software knowledge 24*7.
With the central library we also have a departmental library for the students to refer from the previous projects as well as magazine and journals on their topic of interest.
The Department provides beyond the curriculam lab of CCNA with CISCO Routers to explore the calibre of students.
Webinars are conducted by Infosys on current technologies by industrial Experts for the benefits of the students.
The department is associated with Microsoft as MSP(Microsoft Student Partners) that enhanced the awareness of Microsoft products.

MESSAGE BY HOD:

Department of Computer Science and Engineering always strives to provide necessary support system to enable its students to become great scholars, scientists, engineers, leaders, and, above all, complete persons. We would like our teachers to be role models as truth-seekers and torchbearers leading our students to learn not only what is known but also explore the hidden treasures and discover and disseminate knowledge that would enrich the humankind.

DEPARTMENTAL GOALS

To establish centers of excellence in various fields of Computer Science.
To encourage faculty members to take-up R&D and consultancy projects in the area of Computer Science and Engineering.
To train faculty members in the advanced domains of Computer Science.
To prepare students for successful careers and lifelong learning in computer science and engineering with strong professional ethics and behaviour.
To ensure effective teaching and learning process and quality research.
To encourage innovations, product design and new technologies.

"As a department it is our responsibility to prepare the students to stand in the challenging times and adapt themselves to the changing technologies."

DEPARTMENT SPECIALIZATIONS:

FOCUS AREA:

Advance Data Structure and Algorithm
Advance Operating System
Python and java language
Linux and shell programming
Software engineering
Computer architecture
Data base management system
Computer networking
Theory of computation
Compiler and real time system

EFFORTS BY OUR FACULTIES

Faculties take extra care of the students the knowledge delivery process throughout the course period. These dedicated and concentrated efforts have culminated in obtaining 100 % results. For these best results our faculty ensure complete learning of the student by providing :

Digital Notes as well as hard copy notes: (digital notes are available at aryanotes.com)
Guess papers
By taking regular test and assignments

STUDENT DEVELOPMENT (SDC) AND CAMPUS RECRUITMENT TRAINING (CRT) CELLS:

SDC & CRT cells are a group of professionals who ensure all round development of the students. These cells not only focus on students' technical skills but also on personality, communication skills and other skills, culminating in a fully groomed unit who is ready to face every aspect of life.

NO. OF SEATS:

150 in Computer Science and Engineering

60 in Computer Science and Design

PLACEMENTS:

B.Tech 2015-19 Batch
S.No.	University Roll No.	Name Of Students	Branch	Placed	Placed	Placed	Placed	Placed
1	15EAYCS014	AMISHA	CS	Capgemini
2	15EAYCS037	HANUMAN JAT	CS	Capgemini
3	15EAYCS046	KHUSHBOO SAINI	CS	Capgemini
4	15EAYCS085	SAHIL ARORA	CS	Capgemini	TCS
5	15EAYCS115	YASH AJMERA	CS	Capgemini	Cognizant
6	15EAYCS015	AMIT RAY	CS	TCS	Cognizant
7	15EAYCS070	RAHUL RAJ	CS	TCS
8	15EAYCS093	SHASHANK JOSHI	CS	TCS
9	15EAYCS043	JITENDRA SINGH SHEKHAWAT	CS	TCS	Wipro
10	15EAYCS087	SANDEEP KUMAR PUSHP	CS	Consultadd
11	15EAYCS062	PAVASH PULKIT SINGH	CS	Collabera
12	15EAYCS086	SAMEER JANGRA	CS	Collabera	Infosys
13	15EAYCS091	SHANU SHARMA	CS	Collabera
14	15EAYCS082	RITU SONI	CS	Net2Source	Consultadd
15	15EAYCS116	YASHIKA KHATRI	CS	Net2Source	Consultadd
16	15EAYCS088	SANDEEP KUMAR SHARMA	CS	ATCS
17	15EAYCS026	ATUL PATIDAR	CS	ATCS	SunArc
18	15EAYCS004	ADITI SHARMA	CS	Pinnacle Investment
19	15EAYCS021	ARCHANA SHAHI	CS	Pinnacle Investment
20	15EAYCS022	ASHI	CS	Pinnacle Investment	Ripples	SunArc	Infosys
21	15EAYCS032	DIVYA PATEL	CS	Pinnacle Investment	ATCS
22	15EAYCS097	SONALI	CS	Pinnacle Investment	Aerolith	SunArc
23	15EAYCS106	SWATI MISHRA	CS	Pinnacle Investment	Ripples
24	15EAYCS109	TEJ SINGH NARUKA	CS	Pinnacle Investment
25	15EAYCS092	SHARZIL ALI	CS	Sarv.com
26	15EAYCS114	VIVEK SINGH CHAUHAN	CS	Sarv.com
27	15EAYCS038	HARSHA BHURANI	CS	Aerolith	Genus Power
28	15EAYCS063	PAWAN KUMAR LEEL	CS	Ripples
29	15EAYCS029	CHANDRA PRAKASH JAIDIYA	CS	Ripples
30	15EAYCS059	NIKITA KUMARI	CS	IMS People
31	15EAYCS400	ABHISHEK DADHICH	CS	Byjus
32	15EAYCS033	DIVYANSHU BANSAL	CS	In Time Tec
33	15EAYCS001	AAYUSHI JAIN	CS	Eplanet	All On Block
34	15EAYCS075	RAJNISH SINGH CHOUHAN	CS	Sipmlyforce

B.Tech 2014-18 Batch
S.No.	University Roll No.	Name Of Students	Branch	Placed	Placed	Placed	Placed	Placed
1	14EAYCS021	KRISHNA RADHA KRISHANAN	CS	Capgemini
2	14EAYCS027	MUKESH SINGH	CS	Capgemini
3	14EAYCS032	PALLAVI GUPTA	CS	Capgemini
4	14EAYCS037	RISHABH RAJ	CS	Capgemini
5	14EAYCS045	UTSAV SINHA	CS	Capgemini
6	14EAYCS005	ASHISH BHARDWAJ	CS	AU Bank
7	14EAYCS006	ASHISH KUMAR	CS	AU Bank
8	14EAYCS009	DEEKSHANT KUMAR JAIN	CS	AU Bank	Brill Techno	Tech Mahindra
9	14EAYCS047	VIKRAM KUMAR	CS	AU Bank
10	14EAYCS035	RAJENDRA SINGH	CS	Brill Techno	Tech Mahindra
11	14EAYCS025	MD SHUFYAN	CS	CINIF
12	14EAYCS042	SHRITI BANERJEE	CS	GKV	Tech Mahindra
13	14EAYCS011	DEVI LAL KUMAR	CS	Informatica
14	14EAYCS016	HARSHIT JANJANI	CS	Informatica	Tech Mahindra
15	14EAYCS040	SAURABH JAYASWAL	CS	Tech Mahindra
16	14EAYCS029	NAVNEET BOHARA	CS	Tech Mahindra
17	14EAYCS039	SANJUKTA MOHANTA	CS	Tech Mahindra
18	14EAYCS038	MS RIYA TIWARI	CS	Tech Mahindra
19	14EAYCS031	NITESH SONI	CS	Yugasa

B.Tech 2013-17 Batch
S.No.	University Roll No.	Name Of Students	Branch	Placed	Placed	Placed	Placed	Placed
1	13EAYCS038	RASHMI SINGH	CS	Amazon	Tech Mahindra
2	13EAYCS017	JYOTI KUMARI SINGH	CS	Arden Telecom	Tech Mahindra
3	13EAYCS028	NIKITA SINGHAL	CS	Capgemini	Trigent
4	13EAYCS036	RAMKARAN YOGI	CS	Capgemini
5	13EAYCS051	VIKASH SHARMA	CS	Capgemini
6	13EAYCS003	AMAN KUMAR	CS	Concierge	Trigent	Tech Mahindra	Excel Job Solution
7	13EAYCS047	SATYAJEET KUMAR	CS	Concierge
8	13EAYCS027	NEELAM KUMARI	CS	Concierge
9	13EAYCS009	ASHUTOSH KUMAR	CS	Gram Power	Sanicon Energy	Amazon	Face
10	13EAYCS019	KAUSHAL KISHOR JHA	CS	Gram Power	Amazon
11	13EAYCS029	PALLAVI PRIYA	CS	Gram Power	Maintec	Face	Tech Mahindra	Consultadd
12	13EAYCS020	KRISHAN KUMAR JANGID	CS	Gram Power	Decurtis
13	13EAYCS008	ASHOK KUMAR SAINI	CS	Tech Mahindra
14	13EAYCS004	ANKIT KAUSHIK	CS	Tech Mahindra	A3 Logic
15	13EAYCS046	SATVEER SINGH NEHARA	CS	Tech Mahindra
16	13EAYCS011	BHARTI SIKDAR	CS	Tech Mahindra

B.Tech 2012-16 Batch
S.No.	University Roll No.	Name Of Students	Branch	Placed	Placed	Placed	Placed	Placed
1	12EAYCS003	ACHINT DUTT	CS	Academiaguru.com
2	12EAYCS092	SUPRIYA RAJ	CS	Arden Telecom
3	12EAYCS015	ANSHU KUMARI	CS	Arden Telecom	Cyfuture	TCS
4	12EAYCS050	MANISH KUMAR	CS	Arden Telecom	E-Universal
5	12EAYCS085	SHWETA SONI	CS	Arden Telecom	Cyfuture
6	12EAYCS038	KOMAL CHOUDHARY	CS	CMS IT Services Pvt. Ltd
7	12EAYCS033	JITENDRA KUMAR JANGID	CS	CMS IT Services Pvt. Ltd
8	12EAYCS057	MONA KUMARI	CS	CMS IT Services Pvt. Ltd
9	12EAYCS096	VAISHALI RAJ	CS	CMS IT Services Pvt. Ltd	HCL Technologies
10	12EAYCS044	KUNAL SINGH	CS	CMS IT Services Pvt. Ltd
11	12EAYCS005	AJIT KUMAR	CS	CMS IT Services Pvt. Ltd	Arden Telecom	E-Universal
12	12EAYCS020	BHARAT KUMAR SAH	CS	CMS IT Services Pvt. Ltd
13	12EAYCS017	ASHOK PATEL	CS	CMS IT Services Pvt. Ltd
14	12EAYCS004	ADITI MISHRA	CS	Collabera	Mphasis	Trigent
15	12EAYCS065	NIKITA RANAWAT	CS	Collabera
16	12EAYCS064	NEHA RAHI	CS	Cyfuture
17	12EAYCS078	RICHA KUMARI	CS	Cyfuture	HCL (TSS)
18	12EAYCS040	KRIPAL SINGH GEHLOT	CS	E-Universal
19	12EAYCS060	MURARI LAL SAINI	CS	E-Universal
20	12EAYCS039	KOUSHAL PRAJAPAT	CS	E-Universal
21	12EAYCS091	SUNNY DEOL SAH	CS	E-Universal
22	12EAYCS048	MADHAV SINGH	CS	E-Universal	Sanmax Technology
23	12EAYCS014	ANKITA SINHA	CS	HCL Technologies	HCL Technologies
24	12EAYCS074	RANU GUPTA	CS	HCL Technologies
25	12EAYCS070	PRIYA TANWAR	CS	Maintec Technologies
26	12EAYCS090	SUKANKSHA KHANDELWAL	CS	Maintec Technologies
27	12EAYCS007	AKSHAY RAJPAL	CS	Mphasis
28	12EAYCS063	NEERAJ	CS	Prolifics
29	12EAYCS073	RAJESH KUMAR JHA	CS	Rose International
30	12EAYCS011	AMIT YADAV	CS	TCS
31	12EAYCS026	DURGESH JANGID	CS	TCS
32	12EAYCS028	GOURAV ATREYA	CS	TCS
33	12EAYCS037	KHUSHBOO KUMAR	CS	TCS
34	12EAYCS081	SHAILENDRA SHARMA	CS	TCS
35	12EAYCS087	SIDDHARTH TANK	CS	Tech Mahindra
36	12EAYCS052	MANISHA KUMARI	CS	Trigent

B.Tech 2011-15 Batch
S.No.	University Roll No.	Name Of Students	Branch	Placed	Placed	Placed	Placed	Placed
1	11EAYCS030	KULDEEP GURJAR	CS	ARN Infotel	Merchant Navy
2	11EAYCS085	SURESH KUMAR	CS	Avyukta
3	11EAYCS011	AMIT KUMAR	CS	Capgemini
4	11EAYCS070	SAHIL ANAND	CS	Cyber Futuristic
5	11EAYCS094	VIPIN KUMAR	CS	Cyber Futuristic	PC Solutions	JK Techno soft
6	11EAYCS096	YAGYA KUMAR TIWARI	CS	Cyber Futuristic
7	11EAYCS069	ROHIT SONI	CS	HCL	L&T Infotech
8	11EAYCS008	AKASH KUMAR SHARMA	CS	HCL Talent Care
9	11EAYCS035	MEGHNA JAIN	CS	I GATE
10	11EAYCS028	KRATI SHARMA	CS	TCS	Mphasis
11	11EAYCS042	NAVEEN GOYAL	CS	L&T Infotech
12	11EAYCS075	SHAIFALI SAINI	CS	L&T Infotech	HCL
13	11EAYCS080	SOMYA MISHRA	CS	L&T Infotech	Unisys	Mindtree
14	11EAYCS093	VINIT KUMAR SAINI	CS	L&T Infotech	Cyber Futuristic
15	11EAYCS017	BHAVNESH KAUSHIK	CS	Merchant Navy
16	11EAYCS036	MOHIT PAREEK	CS	Merchant Navy	Mphasis
17	11EAYCS052	PRASHANT CHOUDHARY	CS	Merchant Navy
18	11EAYCS092	VIKAS SEN	CS	Merchant Navy
19	11EAYCS027	KESHAV JOSHI	CS	Mobiloitte
20	11EAYCS029	KRITIKA SINGHAL	CS	Mobiloitte	Avyukta
21	11EAYCS043	NIDHI TIWARI	CS	Mobiloitte	HCL Talent
22	11EAYCS044	NIDHI VASHISTHA	CS	Mobiloitte
23	11EAYCS047	PAWAN JEET	CS	Mphasis

INDUSTRIAL

EDUCATION TRAINING PARTNER:

Bosch
Google

PROJECTS:

The students of Computer Science and Engineering Department have been excellent work in successfully building projects ; a few are as follow :

Android application:

Place directory
Kid mania
Save me here
Health care
Online book finder

TOP RECRUITERS:

CAPEGEMINI
TCS
INFOSYS
IBM
COGNIZANT
ZYCUS
ACCENTURE
HCL
AMAZON
TECH MAHINDRA
WIPRO

INDUSTRIAL TOURS & TRAININGS:

Internships and trainings are mandatory in VI semesters of 60 days.
TCS
INFOSYS

ALUMNI

Our alumni are spread all around the world and are serving in reputed companies making our computer science department extremely proud.

Departmental Labs
Case Lab	Data Mining & Warehousing Lab	Linux & Shell Programming Lab
Software Testing & Validation Lab	GUI Lab	Data Compression Lab
OOPS Lab	Programming In java	Project Lab
Design & Analysis Of Algorithms Lab	Computer Graphics & Multimedia Lab	Internet programming Lab
UML Lab	DBMS Lab	DATA Structure Lab
VLSI Lab	Computer Programming Lab	Computer Programming - II Lab
.Net Lab	Oracle Lab	Advance Computer Networks Lab
Robotics Lab	Wirpo Lab	Hardware Lab

Operating System Simulation Lab

Compiler Design Lab

C Programming Lab

Project Lab / R&D Lab

FPGA Lab

Database Lab

Linux And Network Programming Lab

Java Programming Lab

FACULTY LIST
S.No.	Title	Name	Department	Designation
1	Dr.	PARVEEN KUMAR	CSE	Professor
2	Mr.	PRADEEP JHA	CSE	Assistant Professor
3	Mr.	SOURABH BANGA	CSE	Assistant Professor
4	Mrs.	BHAVYA SAREEN	CSE	Assistant Professor
5	Ms.	CHITRAKSHI JAIN	CSE	Assistant Professor
6	Mr.	DEEPAK KUMAR SHARMA	CSE	Assistant Professor
7	Mrs.	EKTA	CSE	Assistant Professor
8	Mrs.	ISHA YADAV	CSE	Assistant Professor
9	Ms.	KAMINI YADAV	CSE	Assistant Professor
10	Mrs.	NISHA	CSE	Assistant Professor
11	Ms.	PANKAJ KUMARI	CSE	Assistant Professor
12	Mr.	RAHUL GUPTA	CSE	Assistant Professor
13	Ms.	RASHI JAIN	CSE	Assistant Professor
14	Mrs.	RASHMI BAJAJ	CSE	Assistant Professor
15	Ms.	RUCHITA	CSE	Assistant Professor
16	Ms.	SHILPI MISHRA	CSE	Assistant Professor
17	Mr.	ANAND GEET	CSE	Assistant Professor
18	Mr.	NAVEEN KUMAR TIWARI	CSE	Assistant Professor
19	Mr.	VIVEK KUMAR JETHANI	CSE	Assistant Professor
20	Ms.	KIRAN AHUJA	CSE	Assistant Professor
21	Mr.	GAURAV KUMAR SONI	ECE	Assistant Professor
22	Mr.	AKASH RAWAT	ECE	Assistant Professor
23	Mr.	GOPESH SHARMA	ECE	Assistant Professor
24	Mr.	HITESH BAJAJ	ECE	Assistant Professor
25	Mrs.	DIMPLE JANGIR	ECE	Assistant Professor
26	Ms.	MONIKA TANWANI	CSE	Assistant Professor
27	Mr.	VIVEK KUMAR SHARMA	MBA	Assistant Professor
28	Mr.	PRADEEP KUMAR	FY	Assistant Professor
29	Ms.	DEEPTI ARORA	FY	Assistant Professor
30	Mrs.	MONIKA SHARMA	FY	Assistant Professor

List of Program Outcomes
PO-1	Engineering Knowledge: Apply knowledge of mathematics and science, with fundamentals of Computer Science & Engineering to be able to solve complex engineering problems related to CSE.
PO-2	Problem Analysis: Identify, Formulate, review research literature and analyze complex engineering problems related to CSE and reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO-3	Design/Development of solutions: Design solutions for complex engineering problems related to CSE 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.
PO-4	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.
PO-5	Modern Tool Usage: Create, Select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to computer science related complex engineering activities with an understanding of the limitations.
PO-6	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 CSE professional engineering practice.
PO-7	Environment and Sustainability: Understand the impact of the CSE professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of, and need for sustainable development.
PO-8	Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9	Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary Settings.
PO-10	Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large such as able to comprehend and with write effective reports and design documentation, make effective presentations and
PO-11	Project Management and Finance: Demonstrate knowledge and understanding of the engineering management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi disciplinary environments.
PO-12	Life-Long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning the broadest context of technological change.

S.No.	Course Code	Course Title	Course Outcomes (COs)
1	3EE2-01	Advanced Engineering Mathematics	CO1: Graduates gain ability to understand the decision making capability and how to translate real-world problems into probability models CO2: Graduates analyze the ability to formulate a wide range of management problems that can be solved to optimality by classical combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions. CO3: Graduates understand the course aims to introduce students to Use operations research techniques for effective decisions–making, Model formulation and applications that are used in solving business decision problems.
2	3CS1-03	Managerial Economics and Financial Accounting	CO1: Graduates gain ability to apply the knowledge of managerial and economic concepts and ability to apply the tools and techniques. CO2: Ability to understand the demand and supply analysis and to Know the implementation of demand forecasting methods for production decisions and cost analysis. CO3: Ability to understand the types of markets and pricing methods and to understand the techniques regarding the long term investment decisions. CO4: Ability to understand the application of various ratios in order to know the firm’s financial position in depth and to understand different techniques of capital budgeting.
3	3CS3-04	Digital Electronics	CO1: Apply the principles of number system, binary codes and Boolean algebra to minimize logic expressions and knowledge about various logic gates CO2: Develop K-maps and apply Quine Mc Cluskey’s method to minimize and optimize logic functions up to 4 variables CO3: Acquire knowledge about various logic families and analyze basic logic gate circuits of these families. CO4: Design various combinational circuits such as Adders, encoders , decoders and multiplexers CO5: Design various sequential circuits such as flip flops, counters and shift registers
4	3CS4-05	Data Structures and Algorithms	CO1: Graduate will be able to visualize of the programming languages paradigms. CO2: Student will be able to use space & time complexity for particular functions. CO3: Graduate will be able to develop effective algorithms through the attribute conceptual integrity. CO4: Student will be able to analyze the concept of array and structure and implementation of 2-d array & sparse matrix. CO5: Graduate will be able to improve the use existing programming language in a more efficiently way through the data such as array, strings, records, list.
5	3CS4-06	Object Oriented Programming	CO1: To build an understanding of basic concepts of object oriented programming techniques CO2: To develop programming skills in C++ programming language CO3: To implement object oriented techniques using C++ language features. CO4: To develop software using object oriented programming paradigms
6	3CS4-07	Software Engineering	CO1: Gain knowledge of basic Software engineering methods and practices, and their appropriate application, understanding of software development process models such as the waterfall and evolutionary modelsetc and approaches of verification and validation including static analysis, and reviews. CO2: An understanding of the role of project management including planning, scheduling, risk management. CO3: An understanding of software requirements and the SRS document, different software architectural styles and implementation issues such as modularity. CO4: Analyze and translate a specification into a design, and then realize that design practically, using an appropriate Software engineering methodology. CO5: Provide basic knowledge of object orientation and OO analysis and design using the Unified Process and the Unified Modeling Language (UML) as tools.
7	4CS2-01	Discrete Mathematics Structure	CO1: Graduates gain ability to understand the To develop logical thinking and its application to computer science. The subject enhances one’s ability to reason and ability to present a coherent and mathematically accurate argument. CO2: Graduate gain ability to understand algorithms on networks such as shortest path algorithm, minimal spanning tree algorithm and min-flow max-cut algorithm. CO3: Graduates analyze the ability to Formulate graph theoretic models to solve real world problems (e.g., scheduling problems). CO4: Graduate analyze combinatorial objects satisfying certain properties and answer questions related to existence, construction (describing how to create such objects in the case they exist), enumeration and optimization (determining which objects satisfy a certain extremal property).
8	4CS1-02	Technical Communication	CO1: Graduates will know about the grammar of Modern English Language CO2: Graduates will be able to Comprehend and use a report in the professional arena. Students will be able to identify imagination to express himself, broadening their vocabularies, to appreciate the cultural diversity. CO3: Graduates will be able to develop reading habit, the art of writing. Student will assistant with the mainstream of society by studying the text that pertains to the most basic area of the branch of Humanities. CO4: Students will be able to correctly apply the concept of technical and professional communication for employability skills generating a novel idea or opinion based on relevant information and pre established criteria.
9	4CS3-04	Microprocessor & Interfaces	CO1: Describe the architecture of 8085 microprocessor and understand the basic concept of static and dynamic RAM and types of ROM CO2: Understand instruction set and write programs using assembly language programming CO3: Write programs using advance assembly language using interrupts and subroutine. CO4: Interface peripheral devices like 8255, 8259 and understand and describe Interfacing external devices like memory and other hardware devices. CO5: Understand microprocessor applications such as Interfacing scanned multiplexed display and liquid crystal display, USART 8251, RS232C and RS422A
10	4CS4-05	Database Management System	CO1: Graduates gain ability to understand the concept of database concept and database management system software. CO2: Graduates will have high-level understanding of major DBMS components and their function CO3: Graduates will be able to model an application’s data requirements using conceptual modeling tools like ER diagrams and design database schemas based on the conceptual model. CO4: Graduates will be able to write SQL commands to create tables and indexes ,insert/update/delete data and query data in a relational DBMS. CO5: Graduates gain ability to understand normalization theory and apply such knowledge to the normalization of a database and to be able to program a data-intensive application using DBMS APIs.
11	4CS4-06	Theory of Computation	CO1: Students will learn several formal mathematical models of computation along with their relationships with formal languages. Also students will learn that not all problems are solvable by computers, and some problems do not admit efficient algorithms. CO2: Students will Be able to construct finite state machines and the equivalent regular expressions and they willBe able to prove the equivalence of languages described by finite state machines and regular expressions. CO3: Students will Be able to construct pushdown automata and the equivalent context free grammars and prove the equivalence of languages described by pushdown automata and context free grammars CO4: Students will Be able to construct Turing machines and Post machines and prove the equivalence of languages described by Turing machines and Post machines
12	4CS4-07	Data Communication and Computer Networks	CO1: Enumerate the layers of the OSI & TCP/IP model and functionality of each layer. CO2: Detect the different types of error and their correction method in data link layer CO3: Summarize and compare different routing alorithm in network layer. CO4: To be familiar with working of transport layer and its services and protocols CO5: Explain the different protocols used in Applicatin layer
13	5CS3-01	Information Theory and Coding	CO1: To provide the understanding and analytical tools necessary to apply information theory to a range of relevant modern problems in communication engineering. CO2: In particular: to convey the source coding and noisy channel theorems; to furnish students with the means to compute information theoretic quantities; to deliver the principles and applications of source codes; to convey the principles and applications of channel codes; to provide exposure to the latest developments in the area. CO3: Design and performance evaluation of error correcting codes. Knowledge of lossy compression.
14	5CS4-02	Compiler Design	CO1: To learn the process of translating a modern high-level language to executable code CO2: To provide a student with an understanding of the fundamental principles in compiler design and to provide the skills needed for building compilers for various situations that one may encounter in a career in Computer Science. CO3: To develop an awareness of the function and complexity of modern compilers CO4: To apply the code generation algorithms to get the machine code for the optimized code.
15	5CS4-03	Operating Systems	CO1: Describe and explain the fundamental components of a computer operating system. CO2: Define, restate, discuss, and explain the policies for scheduling, deadlocks, memory management, synchronization, system calls, and file systems. CO3: Describe and extrapolate the interactions among the various components of computing systems. CO4: Design and construct the following OS components: System calls, Schedulers, Memory management systems, Virtual Memory and Paging systems. CO5: Measure, evaluate, and compare OS components through instrumentation for performance analysis.
16	5CS4-04	Computer Graphics and Multimedia	CO1: To list the basic concepts used in computer graphics. CO2: To implement various algorithms to scan, convert the basic geometrical primitives, transformations, Area filling, clipping. CO3: To describe the importance of viewing and projections. CO4: To define the fundamentals of animation, virtual reality and its related technologies. CO5: To understand a typical graphics pipeline
17	5CS4-05	Analysis of Algorithms	CO1: Ability to analyze the performance of algorithms. CO2: Ability to choose appropriate algorithm design techniques for solving problems. CO3: Ability to understand how the choice of data structures and the algorithm design methods impact the performance of programs. CO4: To clear up troubles the usage of set of rules design methods including the grasping approach, divide and overcome, dynamic programming, backtracking and department and certain
18	5CS5-11	Wireless Communication	CO1: Articulate the fundamental concepts of Telecommunications such as bandwidth, capacity and data rates ,Network reference models. CO2: Describe and determine the performance of different error control coding schemes for the reliable transmission of digital representation of signals and information over the channel and data link control. CO3: Understand the basics of Wireless LAN witn their architecture and protocol stack model. Also discuss data link layer swictching. CO4: Examine the concept of multiplexing ,multiple access technique and switching. CO5: Analyze various spreading techniques and generation of spreading sequence, generation of spreading codes.
19	6CS4-01	Digital Image Processing	CO1: Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying. CO2: To learn and understand the fundamentals of digital image processing, and various image Transforms, Image Enhancement Techniques, Image restoration Techniques and methods, image compression and Segmentation used in digital image processing. CO3: Write a program which implements fundamental image processing algorithms. Be conversant with the mathematical description of image processing techniques.
20	6CS4-02	Machine Learning	CO1: Differentiate various learning approaches, and to interpret the concepts of supervised learning. CO2: Compare the different dimensionality reduction techniques and apply theoretical foundations of decision trees to identify best split and Bayesian classifier to label data points. CO3: Illustrate the working of classifier models like SVM, Neural Networks and identify classified model for typical machine learning applications CO4: Identify the state sequence and evaluate a sequence emission probability from a given HMM CO5: Illustrate and apply clustering algorithms and identify its applicability in real life problems
21	6CS4-03	Information Security System	CO1: Illustrate the concept of network security attacks, various encryption techniques and modern block ciphers. CO2: Explain various symmetric key techniques and concept of S-Box theory. CO3: Illustrate the concept of Public Key Cryptosystems, key management and understand the concept of key exchange. CO4: Summarize the different authentication techniques and illustrate the concept of digital signature. CO5: Implement IP Security Architecture and understand the concept of strong password protocols.
22	6CS4-04	Computer Architecture and Organisation	CO1: Graduates should be able to use graphic computing techniques to plan, develop, evaluate and manage a solution to a particular problem based on graphic systems. CO2: Graduates should understand and apply ethical responsibility, legislation and codes of practice to professional activity in computer engineering. CO3: Graduates should be able to explain, discuss and solve simple problems in the basic representation and handling of multimedia data (images, audio and animation), and the basic components of a 2D and 3D-environments.
23	6CS4-05	Artifical Intlligence	CO1: To introduce basic principles that drive complex real world intelligence applications. CO2: To introduce and discuss the basic concepts of AI Techniques and Learning CO3: To introduce discuss the basic concept of Game Planning Algorithm and Robotics Algorithm CO4: To intouduce the basic concept of knowledge representation and expert system
24	6CS4-06	Cloud Comuting	CO1: Define what is cloud computing and how other technologies involved in the development of cloud computing. CO2: Understand the model of cloud computing and programming languages used in cloud computing. CO3: Understand the concept of virtualization and visualize the security threats in cloud. CO4: Understand the cloud platform and applications in the industry
25	7CS1A	Cloud Comuting	CO1: Define what is cloud computing and how other technologies involved in the development of cloud computing. CO2: Understand the model of cloud computing and programming languages used in cloud computing. CO3: Understand the concept of virtualization and visualize the security threats in cloud. CO4: Understand the cloud platform and applications in the industry.
26	7CS2A	ISS	CO1: Illustrate the concept of network security attacks, various encryption techniques and modern block ciphers. CO2: Explain various symmetric key techniques and concept of S-Box theory. CO3: Illustrate the concept of Public Key Cryptosystems, key management and understand the concept of key exchange. CO4: Summarize the different authentication techniques and illustrate the concept of digital signature. CO5: Implement IP Security Architecture and understand the concept of strong password protocols.
27	7CS3A	DMW	CO1: Students will identify the core concepts of distributed systems: the way in which several machines orchestrate to correctly solve problems in an efficient, reliable and scalable way. CO2: Students will examine how existing systems have applied the concepts of distributed systems in designing large systems and will additionally apply these concepts to develop sample systems. CO3: Understand scheduling in distributed operating systems, fault tolerance, real- time distributed systems, and designing of distributed file systems. CO4: Understand the concept of design and implementation in the context of distributed operating systems.
28	7CS4A	Computer Aided Design for VLSI	CO1: Graduates gain ability to understand and designing different types of rogrammable logic devices. CO2: Graduates analyze the internal designing and working of Boolean function using different types of algorithm and graph. CO3: Graduates gain ability to perform reducing the algorithm and concept of the pipelined circuit. CO4: Graduates can optimize and minimize the logic function.
29	7CS5A	Complier Construction	CO1: Graduates gain ability to learn concepts and types of various translators along with several representations, specification and construction formats using a variety of software tools and phases of a typical compiler, including the front-and backend part CO2: Graduate will able to identify tokens from a high-level programming language code, define regular expressions for tokens and design or implement a lexical analyzer using scanner generator. CO3: Graduate will learn role of a parser in a compiler and relate the yield of a parse tree to a grammar derivation and will able to construct a parser for a small context-free grammar. CO4: Graduates gain ability to visualize the concept of runtime memory organization and implementation of intermediate code generator based on given code patterns.
30	7CS6.1 A	ADBMS	CO1: Graduates should be able to understand the Query Processing and Optimization in Relational DBMS and also gain knowledge of alternate plans. CO2: Graduates should be able to analyze the Objects, OIDs and able to design the ORDBMS for an enterprise and gain ability to compare RDBMS, OODBMS and ORDBMS. CO3: Graduates should be able to define Parallel and Distributed databases and gain basic understanding of Distributed transaction, Distributed concurrency control and distributed recovery. CO4: Graduates should be able to play the role of DBA and with good ethics should be able to secure and authorize the database access. CO5: Graduates should be familiar with the POSTGRES user interface and XML
31	8CS1A	MC	CO1: Evaluate the architecture and principles of operation of mobile systems and networks. Synthesize principles and theories of computer science and software engineering for application to different computing paradigms. CO2: Synthesize new knowledge in the area of mobile computing by using appropriate research methodologies and techniques. CO3: Evaluate the role of mobile applications in software intensive systems. CO4: Evaluate the usability of representative mobile devices such as smartphones and tablets. Appraise the quality and performance of mobile applications. Assess and implement security principles in mobile applications. CO5: Evaluate wireless network opologies, wireless connectivity and characteristics, and the impact of wireless networks on security and Internet communications.
32	8CS2A	Digital Image Processing	CO1: Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying. CO2: To learn and understand the fundamentals of digital image processing, and various image Transforms, Image Enhancement Techniques, Image restoration Techniques and methods, image compression and Segmentation used in digital image processing. CO3: To learn program which implements fundamental image processing algorithms. Be conversant with the mathematical description of image processing techniques.
33	8CS3A	DS	CO1: Students will identify the core concepts of distributed systems: the way in which several machines orchestrate to correctly solve problems in an efficient, reliable and scalable way. CO2: Students will examine how existing systems have applied the concepts of distributed systems in designing large systems and will additionally apply these concepts to develop sample systems. CO3: Understand scheduling in distributed operating systems, fault tolerance, real- time distributed systems, and designing of distributed file systems. CO4: Understand the concept of design and implementation in the context of distributed operating systems.
34	8CS4.2	RTS	CO1: Graduates gain ability to understand the real time system concepts and its applications. CO2: Graduates gain the ability to understand precedence constraints, data dependency and real time scheduling. CO3: Graduates analyze the problem and solution of periodic and aperiodic task scheduling. CO4: Graduates gain ability to understand resources access control.

Department of Computer Science Engineering