Computer Science & Engineering (AIML)

Our 4-year B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme seeks to produce competent engineers in the field of Artificial Intelligence who can contribute to the field by developing data analytics, scientific computation, numerical & statistical analysis, and other Machine Learning capabilities.

B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) helps students to design and develop computer-based applications of varying complexities in emerging areas of Artificial Intelligence and Machine Learning. The curriculum primarily focuses on the foundations of computational mathematics, core components of Computer Science, along with the latest advancements in Artificial Intelligence and Machine Learning. A degree in this program will cover the following topics:

Add-on Course

Alongside the AKTU curriculum, students pursuing a Bachelor of Technology (BTech) in B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) are offered supplementary courses covering Automation, Programming in various languages, Embedded Systems, IoT, Data Science and more. These additional courses are aimed at enhancing their employability prospects.

Moreover, managerial skills are essential competencies for B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) students to master, enabling them to excel in various career paths, whether in technical or leadership roles. These skills include effective communication, leadership abilities, problem-solving prowess, project management acumen, time management, adaptability, teamwork, decision-making capabilities, ethical awareness, and networking prowess. By developing and refining these managerial skills alongside their technical expertise, AIML students can position themselves as versatile professionals capable of thriving in the dynamic and ever-evolving field of technology.

Expert Faculty

The department with its strong and dedicated team of faculty members & under the leadership & vision of very reputed & dedicated visionaries, always aims to provide high quality education and nurture future leaders in the field of IT professionals, researchers and entrepreneurs. Department faculty members publish several research works every year in reputed International and national Journals/Conferences, which are indexed in SCI/Scopus/DBLP/Web of Science etc.

Professional Development

The Department is committed to nurturing well-rounded professionals equipped with the skills and knowledge required to excel in the rapidly evolving field of technology. To support this goal, we offer a wide range of professional development opportunities designed to enhance the academic experience and prepare students for successful careers in the industry.

Our professional development initiatives include:

• • Technical Workshops:

We organize interactive workshops led by industry experts to provide hands-on experience with the latest technologies, tools, and methodologies.

• • Seminars and Guest Lectures:

Renowned professionals and academics are invited to deliver insightful seminars and guest lectures on emerging trends, best practices, and real-world applications in computer science and engineering.

• • Conferences and Symposium:

Students have the opportunity to participate in conferences and symposia where they can present their research findings, network with peers and professionals, and gain exposure to diverse perspectives in the field.

• • Industry Internships:

We facilitate industry internships to allow students to gain practical experience, apply classroom knowledge in real-world settings, and develop valuable professional connections

• • Certification Programs:

Our department collaborates with esteemed organizations to offer certification programs in specialized areas such as cyber security, cloud computing, data science, and more, enhancing students' credentials and employability.

• • Hackathons and Coding Competitions:

Students can participate in hackathons and coding competitions to hone their problem-solving skills, showcase their talents, and compete with peers from other institutions.

• • Career Guidance and Counselling:

We provide career guidance and counselling services to help students identify their strengths, interests, and career goals, and develop strategies for achieving success in their chosen field.

Laboratory Facilities

A B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) laboratory serves as a dynamic hub for students to explore, experiment, and innovate within the realm of technology. Equipped with state-of-the-art computers, software tools, and hardware resources, these labs provide an immersive environment for hands-on learning and practical application of theoretical concepts. Here, students engage in diverse activities such as programming exercises, software development, networking simulations, and hardware prototyping.

The departmental laboratories also offer opportunities for research exploration and project-based learning, empowering students to explore into cutting-edge technologies and contribute to advancements in the field. Ultimately, these labs serve as incubators for creativity, ingenuity, and academic growth, preparing students for successful careers in the ever-evolving landscape of computer science and engineering.

• • Programming Lab: Provides resources for students to learn various programming languages, algorithms, and data structures through hands-on coding exercises and projects.
• • Software Engineering Lab: Focuses on software development methodologies, software design principles, and collaborative project management techniques.
• • Networking Lab: Offers facilities for students to explore computer networks, protocols, security mechanisms, and network administration tasks through simulations and practical exercises.
• • Database Lab: Equipped with tools for students to design, implement, and manage databases, as well as to develop applications that interact with relational and non-relational data stores.
• • Embedded Systems Lab: Concentrates on the design, development, and testing of embedded software and hardware systems for applications such as IoT devices, automotive systems, and consumer electronics.
• • Computer Organization & Architecture (COA) Lab: The lab is designed to help students understand the fundamental principles of computer organization, architecture, and the interaction between hardware and software components.
• • Microprocessor Lab: The aim is to acquaint oneself with assembly language programming and interfacing with different modules such as 8253/8254, 8259, utilizing the 8085, 8086 microprocessors, and the 8051 microcontroller.
• • Automation Lab: The lab is equipped with state-of-the-art tools and resources to explore and implement automation solutions across various domains.
• • Unix/Linux Laboratory: From shell scripting to task scheduling and system administration, our lab covers a wide range of Unix/Linux automation topics. Through practical exercises and real-world scenarios, you'll gain proficiency in leveraging command-line utilities, shell scripting languages, and automation frameworks to automate routine tasks and enhance productivity.
• • IoT Lab: An Internet of Things (IoT) laboratory is a space where one can design, create, test, and deploy IoT systems and solutions. IoT encompasses the interconnectedness of physical devices integrated with sensors, software, and network connectivity, facilitating data exchange.

Employability Skill training

The department in collaboration with the Training and Placement (T&P) department of the institute has signed Memoranda of Understanding (MOUs) with corporate entities and academic institutions to provide comprehensive training in employability skills. This training encompasses various aspects such as soft skills, logical reasoning, aptitude, technical proficiency, and coding abilities.

Career Opportunities

Having a strong grasp of computer science and engineering fundamentals, along with on-going learning and professional growth, opens up endless possibilities for your future career.Here are some exciting career paths that you can explore with your CSE degree:

• • Software Developer/Engineer: Design, develop, and maintain software applications and systems across various industries, including web development, mobile app development, and enterprise software solutions.
• • Data Scientist/Analyst: Utilize your analytical skills to extract insights from large datasets, apply machine learning algorithms for predictive analysis, and drive data-driven decision-making processes.
• • Cyber security Specialist: Protect organizations from cyber threats by implementing security measures, conducting vulnerability assessments, and responding to security incidents to safeguard sensitive information and systems.
• • Network Engineer/Administrator: Design, configure, and manage computer networks, ensuring seamless communication and connectivity between devices and systems.
• • Systems Administrator: Manage and maintain computer systems, servers, and infrastructure to ensure optimal performance, reliability, and security within an organization.
• • Cloud Computing Specialist: Architect, deploy, and manage cloud-based solutions using platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) to enable scalable and flexible IT infrastructure.
• • Artificial Intelligence/Machine Learning Engineer: Develop AI-powered applications, algorithms, and models to automate processes, enhance decision-making, and drive innovation in various domains such as healthcare, finance, and robotics.
• • Software Quality Assurance Engineer: Ensure the quality and reliability of software products through testing, debugging, and quality assurance methodologies to deliver high-performance and error-free applications.
• • Embedded Systems Engineer: Design and develop embedded systems for electronic devices, IoT devices, and automotive systems, integrating hardware and software components to enable intelligent functionality.
• • Product Manager: Drive the development and launch of software products by collaborating with cross-functional teams, defining product requirements, and prioritizing features to meet customer needs and market demands.