Department of Computer Science Engineering

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

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  • 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.

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.

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