Syllabus for
Bachelor of Technology (Computer Science and Engineering)
Academic Year  (2023)

The fundamental objective of the Department of Computer Science and Engineering of the CHRIST(Deemed to be University)is to develop a firm foundation in mathematics, science, and design methodology applied to the disciplines of Computer Science and Engineering. The various courses offered gives the fundamentals, working and expert subjects that provides enough learning environment where students understand and are able to apply the most contemporary and essential tools needed in the breadth and depth of Computer Science and Engineering. The Department strives to give skills essential to practicing engineering professionals; it is also an objective to provide experience in leadership, management, planning, and organization. The department understands its role in developing and evaluating methods that encourage students to continue to learn after leaving the institution. We believe that the student opportunities and experiences should lead to an appreciation of the holistic development of individual. We also try to pass to our students our passion for what we do, and to have the students comprehend that we also desire to continue to learn.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

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

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

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

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

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

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

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

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

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

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

Programme Specific Outcome:

PSO2: Resource Management : Utilize Resource Management ideas to efficiently develop and deploy projects.

Continuos Internal Assesments CIA-I, CIA-II, CIA-III.

End Semester Examination-

To learn the fundamentals of data models and to conceptualize and depict a database system using ER diagram. To make a study of SQL and relational database design. To understand the internal storage structures using different file and indexing techniques which will help in physical DB design. To know the fundamental concepts of transaction processing- concurrency control techniques and recovery procedure. To have an introductory knowledge about the emerging trends in the area of distributed DBOO DB- Data mining and Data Warehousing and XML. To implement the design of the tables in DBMS. To write queries to get optimized outputs. To store, retrieve and view the contents. To generate report based on customized need

To understand the basic concept of data structures for storage and retrieval of ordered or unordered data. Data structures include: arrays, linked lists, binary trees, heaps, and hash tables.

Course Description: Software engineering course provides: Different life cycle models, Requirement dictation process, Analysis modelling and specification, Architectural and detailed design methods, Implementation and testing strategies, Verification and validation techniques, Project planning and management and Use of CASE tools.

Course objectives:  To be aware of Different life cycle models; Requirement dictation process; Analysis modeling and specification; Architectural and detailed design methods; Implementation and testing strategies; Verification and validation techniques; Project planning and management and Use of CASE tools.

●      Discuss the core concepts Statistical Analytics and Data manipulation

●      Apply the basic principles, models, and algorithms supervised and unsupervised learning mechanisms.

●      Analyse the structures and algorithms of regression methods

●      Analyse the use of SVM in Data Science

Explain notions and theories associated to Convolutional Neural Networks

After learning the course for a semester, the student will be aware of the important statistical information for addressing cryptography, error correction and coding, information theory and cryptanalysis. The student would also get a clear idea on some of the cases with their analytical studies in information coding and its related fields.

●      Discuss the core concepts Statistical Analytics and Data manipulation

●      Apply the basic principles, models, and algorithms supervised and unsupervised learning mechanisms.

●      Analyse the structures and algorithms of regression methods

●      Analyse the use of SVM in Data Science

Explain notions and theories associated to Convolutional Neural Networks

This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security.  In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments

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To study the fundamentals of digital circuits and concepts used in the analysis and design of various digital systems.

Course Description:

Technical Writing Course consists of five units covering; Introduction to Technical Communication, Technical Writing, Soft Skills, Professional Presentation Skills and Professional Etiquettee. It aims to equip the students with the necessary technical communication and writing skills for professional success. 

Course objectives:

This course aims to equip engineering students with effective individual and collaborative technical writing and presentation skills which are necessary to be effective technical communicators in academic and professional contexts.

COURSE DESCRIPTION:

This course, Discrete Mathematics (MA334) is offered for three credits in the third semester for the branch of Computer Science Engineering and Information and Technology for different streams. This course develops the logical augmenting and it has topics like Propositional Calculus, Set theory, Group theory, and Coding various Counting techniques.

COURSE OBJECTIVE:

The objective of the paper is to apply logical reasoning to validate the computer algorithms, to perform the operations associated with sets, functions, relations and groups for the coding and decoding information to check the security of the data. 

The  PCAP: Programming Essentials in Python course covers  all the basics  of programming  in  Python 3, as well as general computer  programming  concepts and techniques. The course also familiarizes the student with the object-oriented approach. 

This course of study builds on the skills gained by students in Java Fundamentals or Java Foundations to help advance Java programming skills. Students will design object-oriented applications with Java and will create Java programs using hands-on, engaging activities. 

Red Hat System Administration I (RH124) is designed for IT professionals without previous Linux system administration experience. The course provides students with Linux administration competence by focusing on core administration tasks. This course also provides a foundation for students who plan to become full-time Linux system administrators by introducing key command-line concepts and enterprise-level tools.

Red Hat System Administration II (RH134) is designed to build the skills to perform the key tasks needed to become a full-time Linux administrator. The course goes deeper into core Linux system administration skills 

To train students in applications of biology in the engineering domain. The course will deal with problems specific to the circuit branches

Software development in business environment has become more sophisticated, the software implementation is becoming increasingly complex and requires the best programming paradigm which helps to eliminate complexity of large projects. Object Oriented Programming (OOP) has become the predominant technique for writing software at present. Many other important software development techniques are based upon the fundamental ideas captured by object-oriented programming. The course also caters to the understanding of event driven programming, generic programming and concurrent programming.

 1. To have an understanding of finite state and pushdown automata.

2. To have a knowledge of regular languages and context free languages.

3. To know the relation between regular language, context free language and corresponding recognizers.

4. To study the Turing machine and classes of problems.

This course will help the students to learn about basic structure of computer system, design of arithmetic and logic unit with the implementation of fixed and floating point numbers. Further, it will give knowledge about design of control unit and pipelined processing concepts. It discusses about various parallel processing architectures, different memory systems and I/O Communication systems

Course Description:

This course offers a solid foundation of key ideas in machine learning. The objective is to impart expertise on using Python packages related to Machine Learning and supervised and unsupervised techniques.

Course Objective:

1. To gain knowledge in the basics of Python Machine Learning Libraries.

2. To analyze the applicability, benefits, and drawbacks of the Supervised and Unsupervised machine learning techniques.

3. To acquire knowledge on the recommendation systems and their working methodology

Course Description:

This course includes introductory concepts of computer networks scanning , hacking techniques, mobile hacking techniques, firewall techniques, and few case studies on various hacking scenarios.

Course Objective:

Teaching the phases of ethical hacking using various open source tools available for ethical hacking process like penetration testing ,information gathering, password cracking,and vulnerability assessment.

Course Description:

This course gives an overview of Big Data Analytics and it can be described as the acts of studying data to observe patterns and to draw a conclusion to make an important decision. In addition, it also focuses on the big data technologies and tools such as Hadoop, Hive, HBase, and Pig that are available for storage, retrieval, and processing of big data. It helps a student to perform a variety of real-time analytics and processing of different data sets on different domains.

Course Objective:

1. To know the fundamental concepts of big data and analytics.

2. To explore tools and practices for working with big data.

3. To examine large amounts of data to uncover hidden patterns, correlations and other insights to help make data-informed decisions.

To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale.  

Understand the importance of Values and Ethics in their personal lives and professional careers

Course Description:

This course, Probability and Queuing Theory is offered for three credits in the fourth semester for the various streams of Computer Science Engineering and Electronics and Communication Engineering. It describes the fundamentals and advanced concepts of Probability and Random Variable, Standard Distributions, Two Dimensional Random Variables, Random Processes and Markov Chains  and Queuing Theory. 

Course objectives:

To describe the fundamentals and advanced concepts of  probability theory, random process, queuing theory to support the graduate coursework and research. 

The course is an exploration of the prevailing theories and empirical methods that explain

about people’s thoughts, feelings and behaviors in a social context. This throws light on

cognitive and social factors that influence human behavior, especially in situations

populated by others.

To understand the concepts of data communications.

To study the functions of different layers. To introduce IEEE standards employed in computer networking.

To make the students to get familiarized with different protocols and network components.

To build foundation of Networks in Algorithms and its analysis, Software Engineering Models

This course provides a strong foundation of fundamental concepts in Artificial Intelligence. To provide a basic exposition to the goals and methods and to enable the student to apply these techniques in applications which involve perception, reasoning and learning.

To introduce basic concepts of algorithms; To introduce mathematical aspects and analysis of algorithms; To introduce sorting and searching algorithms; To introduce various algorithmic techniques; To introduce algorithm design methods.

Computer Graphics with OpenGL is an introductory course that provides a comprehensive understanding of computer graphics' fundamental principles and techniques using the OpenGL (Open Graphics Library) programming interface. The course is designed to equip students with the knowledge and skills to create interactive 2D and 3D graphics applications.

Explain the tools for developing applications in Web programming; Describe the scripting languages –Java Script, Jquery and React js; Exposure to the backend platform using PHP and Node Js.

To understand the principles of encryption algorithms; conventional and public key cryptography. 

To have a detailed knowledge about authentication, hash functions and Network & application-level security mechanisms.

Internships are short-term work experiences that will allow  a student to observe and participate in professional work environments and explore how his interests relate to possible careers. They are important learning opportunities through industry exposure and practices.   

 Course Objectives: 

•Identify how the internship relates to their academic courses and preferred career path

•Integrate existing and new technical knowledge for industrial application

•Understand lifelong learning processes through critical reflection of internship experiences.

•Articulate their experience and skills to potential employers

● To understand about RPA and its concepts

● Apply RPA tools and functionalities

● Understand the challenges and risks in RPA implementation

● Understand about bots and its usage in real time applications

To analyze about best possible solutions for different vulnerabilities that are exploited for hacking

To provide the fundamental techniques and principles of security model in Big Data. 

·        To provide an introduction to concepts in Computer Vision including fundamental Image Processing Operations, Image enhancement, edge detection, Texture, boundary, shape and motion analysis, object segmentation, image transformation and 3D vision.

   To provide practical experience in implementing Computer Vision algorithms.

After learning the course for a semester, the student will be aware of the intrusion detections concepts in cyber-attacks and its corresponding preventions and incident responses to ensure the data is recovered in time and whole system is operational. The student would also get a clear idea on some of the cases with their analytical studies in IDS and Incident responses.

This Web Analytics course covers fundamental concepts of web analytics and dives deep into web, social and content and analytics, illustrating common analytical scenarios and how to use popular web analytics tools used by marketers across the major industry domains. The course approaches web analytics from a strategic and practical perspective, showcasing techniques for using Google Web analytics and other platforms and tools. You’ll keep pace with the most important analytics trends and prepare for a career in web and digital analytics.

The aim of this course is to introduce the architecture, programming and interfacing of peripheral devices with embedded boards for IOT applications and design IOT based smart applications.

The aim of this course is to introduce image processing fundamentals making the students to understand the different methods available to process an image and also give them an insight about the toolbox in MATLAB which can be used to do simulations in image processing. 

The aim of this course is to understand the basics and applications of Satellite Remote Sensing, become familiar with the usage of active and Passive remote Sensing from space and explore the applications of Satellite Remote Sensing from Ecology to National Security. The course will include some simple python based Jupyter Notebooks and open-source Remote Sensing resources. The course will introduce students to a career in Satellite remote sensing

This course introduces the fundamental concepts, principles, analysis and design of hybrid and electric vehicles.

·         To recognize the application of various drive components and selection of proper component for particular applications.

·         To understand concepts in kinematics and dynamics of robotic system.

·         To introduce control strategies of simple robotic system.

·         To study the applications of computer based control to integrated automation systems.

Introducing the concepts of various components of Smart Grid, and their impacts on the energy industry, including renewable integration, PHEV penetration, demand side management, and greenhouse gas (GHG) emissions reductions. Energy policy modelling and analysis, such as policies on GHG emissions reductions and incentives to green energy investments, will be integrated into the course as well.

This course develops the competencies and skills for planning and controlling projects and understanding interpersonal issues that drive successful project outcomes. Focusing on the introduction of new products and processes, it examines the project management life cycle, defining project parameters, matrix management challenges, effective project management tools and techniques, and the role of a Project Manager. This course guides students through the fundamental project management tools and behavioral skills necessary to successfully launch, lead, and realize benefits from projects in profit and non-profit organizations.

This course is aimed to create awareness on the rights and responsibilities as a citizen of India and to understand the administrative structure, legal system in India.

• Identify and define key terms related to operating system.
• Explain basic Unix concepts related to concurrency and control of programs.
• Capability to name and state the function of Unix commands.

·       This Course is offered for cadets of NCC who have successfully completed their B- Certificate.

·       This Course is offered for the NCC cadets in the Open Elective course offered by the department during the 5^th Semester.

·        This course can be selected if and only if the cadet Successfully Completes the ‘B’- Certificate exam that is conducted centrally oraganized by the NCC Directorate.

CCNAv7 teaches comprehensive networking concepts and skills, from network applications to the protocols and services provided to those applications. Learners will progress from basic networking to more complex enterprise and theoretical networking models later in the curriculum. 

The first course in the CCNA curriculum, Introduction to Networks (ITN) introduces the architectures, models, protocols, and networking elements that connect users, devices, applications and data through the internet and across modern computer networks - including IP addressing and Ethernet fundamentals.  

The second course, Switching, Routing and Wireless Essentials (SRWE) focuses on switching technologies and router operations that support small-to-medium business networks and includes wireless local area networks (WLANs) and security concepts.

This comprehensive Full Stack Java Development course is designed to equip students with the skills and knowledge needed to become proficient in building robust and dynamic web applications. Participants will gain expertise in both front-end and back-end development using Java-based technologies and popular frameworks. The course emphasizes practical hands-on experience through projects and exercises, allowing students to develop real-world applications

This course will familiarize the students with the concept of corporate social responsibility. The evolution of CSR has far reaching consequences on the development sector in India. The collaboration of companies and NGOs with the community has initiated a new paradigm of change in the country. The students will have an overview of the theories and the frameworks developed in the area of CSR. The paper will discuss a few prominent case studies of CSR.

 Course Objectives 

• To understand the concept of CSR and the theoretical underpinnings.

• To understand the stakeholder approaches.

• To provide an experiential, integrative, substantive, and high quality experience surrounding issues of Corporate Social Responsibility

• To provide participating students with a truly unique curriculum experience with field experience.

This course provides students the insight on search engine optimization, social media and digital marketing techniques that helps them understand how each of the social media platforms works and how to strategize for any type of objectives from clients. Students will discover the potential of digital media space and will have hands on experience with different digital platforms.

Students will be able to develop a clear understanding of the principles and characteristics of communication in professional settings. They would have developed skills for grammatical accuracy, precise vocabulary, clear style and appropriate tone for formal, professional communication

Description:  Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs. Can introduce him/herself and others as well as ask others about themselves

Objectives

      Impart the language and through that insight into the country and the culture.

     Sensitize the students to the environment of a foreign country. To enable the students adapt to a new environment and culture.

Innovation is crucial to us and plays significant role in the growth of economy. Government policies and legal framework offer protection to new inventions and creative works. This course intends to equip students to understand the policies and procedures they may have to rely on for the purposed of protecting their inventions or creative works during the course of their study or employment.

The course consists of five units. Theories behind the protection of intellectual property and its role in promoting innovations for the progress of the society are the focus of first unit. Second unit deals with protection of inventions through patent regime in India touching upon the process of obtaining international patents. The central feature of getting patent is to establish new invention through evidence. This is done through maintaining experimental/lab records and other necessary documents. The process of creating and maintain documentary evidence is dealt in Unit 3. Computers have become an integral part of human life. Till 1980, computer related inventions were not given much importance and lying low but today they have assumed huge significance in our economy. Computer related inventions and their protection which requires special treatment under legal regimes are discussed in Unit 4. The last module deals with innovations in e- commerce environment.

A student successfully completing this course will be able to:

Explain basic terms and concepts in air transportation, including commercial, military, and general aviation; air traffic control. Identify on the parts of an aircraft, classify the aircraft types and Construct models of an Aircraft. Understand the types of Aero engines and analyse the impact of meteorology in Aviation.

1.     To understand various developmental changes that take place in human life and how people's thoughts, feelings, and behaviors are influenced by the social context consisting of actual, imagined, or implied presence of others.

2.     To develop interpersonal awareness and skills, especially in the context of diversity and   difference

3.      To develop the psychosocial skills required in the professional world

4.     To introduce the students to the existing theory and research in the past and contemporary social settings comprising viz, the intra-individual, inter-individual, and social factors that influence individual and group behavior.

Course Description
Data Analysis using SPSS is specially designed to provide the requisite knowledge and skills in Data Analytics. The course covers concepts of Basics about Statistics, Data handling, Data Visualization, Statistical analysis, etc. This course will build a base for advance data analysis skills.

Course objectives

After the completion of the course, you should be able to:

a. Understand basic concepts of statistics and computer software SPSS
b. Select appropriate Statistical test for particular type of data
c. Recognize and interpret the output from statistical analysis

Course Description:

Developing a successful digital marketing strategy and implementation is both an art and science. It involves in-depth knowledge of dynamics of new media (Social Media, Mobile) and utilizing the right resources and marketing skills to design and launch successful customer engagement campaigns. Digital Marketing course has been designed to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives

Course Objectives:

·         To apply the basics of digital marketing in the contemporary business scenario

·         To utilize google ads for promotional activities

·         To contrast various social media marketing platforms and activities 

·         To analyse the search engine optimization and search engine marketing strategies

To explain analytics pertaining to digital marketing initiatives

The course will develop the knowledge and skills required to write content for digital media. Students will learn how to craft writing for different areas of the media by focusing on genres such as profiles, informative pieces, articles and content pieces. Students will work on pitching and marketing ideas, discuss topics such as timelines, word counts and deadlines. The course will also examine the principles of reporting and the legal and ethical issues associated with content writing

The course intends to provide students with an in-depth understanding of the nature of digital content. The course will acquaint students with the techniques of writing simple but polished digital content. The subject will develop creativity in writing and imaginative approaches to digital content writing. The paper will help students understand the mechanics of content writing

The course introduces the art of photographic image making and printing. You will learn to see and appreciate light in a new way, learn to see and design shapes in the frame, and you will learn how to make fine prints. In this course, you will learn how to properly expose the camera, how to develop good images, and to make beautiful exhibition prints. This is not merely a technical course however the most important thing you can bring away from this course is a new sense of seeing. To be able to have a finer appreciation of light in its myriad manifestations, to discover meaning in images rather than words, or most importantly, how to make images, important and powerful in their own right, rather than merely “take pictures” is the main goal of this course.