B. Tech Computer Science and Engineering is a full-time four-year (eight semesters) undergraduate program that aims to produce competent professionals with an inter-disciplinary curriculum to develop strong technical, research, and managerial skills in addition to ethical values.
The Department of Computer Science and Engineering (CSE) at IILM University is one of the leading departments in the country, offering a range of undergraduate and Post graduate programs in computer science and engineering with specializations in contemporary computing areas like Cloud Computing, Artificial Intelligence (AI), Big data, Internet of Things (IoT), Machine Learning, Deep Learning, Image processing and Block Chain.. Established in the year 2002, the department has a rich history of academic excellence, innovation, and research.
The department is committed to providing high-quality education to students, equipping them with the skills and knowledge needed to succeed in the rapidly evolving field of computer science and engineering. Our faculty comprises renowned experts in their respective areas of specialization, who bring a wealth of experience and expertise to the classroom.
After the successful completion of the program, a student will be able to work in the global environment, formulate, design & develop computational solutions in the form of applications and software to make human life easier and more convenient. IILM University, Greater Noida offers seven specializations in B. Tech CSE and student can choose any one of them, the specializations are:
a) Artificial Intelligence and Machine Learning:This specialization provides you with a sound knowledge of artificial intelligence and machine learning concepts, principles, programming languages along with deep learning practices and computer vision tools and techniques to develop applications in scientific and engineering domains.
b) Data Science and Big Data Analytics:This specialization provides a better understanding of the data science, Analytics & Big Data with the in-depth foundation of a data-driven future and train toward the skilled data scientist in the field of computer science. The core of the program is to provide all the necessary tools to analyze and process big data in information generating systems and transform the students into knowledgeable professionals.
c) Cyber Security:This specialization mould students into well prepared cyber security professionals with a comprehensive knowledge of cyber-crime, network security, and threat intelligence, and Cryptography. The specialization focus of the program is on data protection and smart contract enforcement mechanisms.
d) Cloud Computing and Virtualization Technology:Specialization in Cloud Computing and Virtualization Technology is an emerging technology that delivers computing services like servers, storage, databases, networking, software, analytics, and more over the Internet. The program provides a way to centralize the setup, implementation, maintenance, and management of integrated computation services to individual and corporate end-users.
e) Blockchain Technology:Specialization in Block chain Technology introduces block chain and cryptocurrencies and benefits to industries such as banking, finance, healthcare, real estate and software. This course is developed to give students a practical and theoretical knowledge of information security issues in various industry sectors and help them to develop secure applications with an in-depth understanding of block chain concepts.
f) Graphics and Gaming:Graphics and Gaming covers the all the traditional computer science subjects (DBMS, OS, Networks, Data structure, JAVA, etc.) and domain-oriented subjects (3D Modeling, Animation, Game development). This course gives the complete overview of how the graphics is created or a game is developed.
g) Internet of Things (IoT):IoT is an emerging technology that will help the students to learn concepts such as IoT and its architecture, various applications, principles of electronics, electrical and physics and their practical implementation using Raspberry Pi or Arduino boards. Further, the students are exposed to wireless sensor networks and how these smart networks can be created and managed.
MoUs with various renowned industries/academic institutions:
Key Highlights of School of Computer Science and Engineering
The Department aims to produce competent professional with strong technical, research and managerial skills in addition to ethical values.
M1: Developing strong computational baseline: Developing strong mathematical & computing fundamentals among students that form the baseline for building IT solutions.
M2: Emphasis on Quality Education: Providing quality education to produce the competent engineers with technical and managerial skills to fulfill the present societal requirements.
M3: Research-orientation: Involving in research-based projects/activities in the emerging areas of computer science and information technology.
M4: Learning the professional ethics: Inculcating the professional ethics to serve the interests of the society and nation.
The Computer Science and Engineering Program Educational Objectives prepare students to:
PEO1: Understand the appropriate engineering techniques for demonstration of software and hardware, analytical/problem solving skills, creative thinking and strong research orientation.
PEO2: Develop the ability to understand the core computer science subjects and its applications, so that they will be easily applied in the practices of real world.
PEO3: Build the aptitude in the students to enhance the managerial skills that will inculcate moral values, team-spirit, leadership quality and social responsibilities.
PEO4: Provide an industry interaction to learn the emerging technology’s theory and practices.
PEO5: Develop the understanding of the students in the multidisciplinary subjects like mathematics, economics, psychology and management etc.
Engineering Graduates will be able to:
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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 need with appropriate considerations for 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 modelling 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 professional engineering practices.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental context, and demonstrate the knowledge of, and need for sustainable development.
PO8: Ethics: Apply ethical practices 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 the team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning of broadest context of technological change.
Computer Science and Engineering graduates will be able to:
PSO1: Develop technical and professional skills required for lifelong career growth
PSO2: Be at pace with contemporary computing for sustainable development.
PSO3: Demonstrate analytical skills acqui1`red during practical sessions which make them industry ready.