Department Profile
The Department of Information Science and Engineering was established in 2001 and offers a Bachelor of Engineering program in Information Science and Engineering affiliated to Visvesvaraya Technological University, approved by AICTE, and accredited by NBA Certification. The department emphasizes imparting both basic and advanced knowledge, technical competencies, and essential IT skills. With a commitment to real-world applications, the program prepares students for the development of information science-based solutions.
The department's infrastructure boasts state-of-the-art teaching aids and laboratories, including the Artificial Intelligence and Machine Learning Laboratory, Data Structures Laboratory, Design and Analysis of Algorithms Laboratory, Analog and Digital Electronics Laboratory, Microcontroller and Embedded System Laboratory, Database Management System Laboratory, File Structures Laboratory, Web Programming Laboratory, and Project Laboratory. This cutting-edge lab infrastructure facilitates quality teaching, providing students with hands-on experience in various domains.
Comprising a motivated faculty team, the department actively fosters talent and leadership through forums and chapters, organizing international and national conferences, seminars, and value-added courses. Bridging the academia-industry gap, the department offers the Industry Institute Integrated Learning Program (IIILP) for industry-standard training. Notably, the department has an outstanding placement record with reputed MNCs, and its alumni excel as entrepreneurs, professionals, and researchers globally. This holistic approach, encompassing technical skills, leadership, and industry relevance, ensures that students are well-prepared for diverse and challenging roles in the field of Information Science and Engineering.
HoD Message
Dear Students,
Welcome to the Department of Information Science and Engineering. Established in 2001, our department offers a four-year Bachelor of Engineering program in Information Science and Engineering. Affiliated with Visvesvaraya Technological University, approved by AICTE, and accredited with NBA Certification.
Our mission is to empower students to develop innovative solutions for real-world challenges and cultivate a lifelong commitment to learning in the ever-evolving landscape of technology. Our aim is to equip engineering graduates with the skills and mindset to become problem solvers, leaders, entrepreneurs, and ethical members of a global community.
With state-of-the-art infrastructure and a dedicated faculty, we ensure quality education through a dynamic Teaching-Learning Process, industry collaborations, and research projects. The faculty and students continuously strive for excellence, pushing the boundaries of Information Science and Engineering.
Prof. Kemparaju N
East Point College of Engineering and Technology
Fostering creativity and problem-solving abilities through innovative teaching methods and modern tools, we encourage self-study and exploration of MOOC courses offered by platforms like NPTEL, Coursera, and Udemy, in addition to the VTU curriculum.
To enrich the learning experience, we offer value-added courses, interactions with industry experts, industry visits, and alumni engagement to stay updated on current trends and technologies. Our program goes beyond the classroom, providing opportunities for hands-on learning through regular hackathons, seminars, workshops, conferences, industrial visits, and industry-integrated learning programs.
We are committed to nurturing the talents of our students and preparing them for successful careers in Information Science and Engineering.
Welcome aboard to an exciting journey of learning and innovation in Information Science and Engineering.
Laboratories
Data Structures Laboratory :- In this lab, the students will learn to implement a simple version of some data structures, namely arrays, stacks, queues, and linked lists, and use them to implement a simple sorting algorithm. This exercise will help the students to explore the effect of data structures on the complexity of the algorithm and also understand the details involved in creating data structures from scratch.
Design and Analysis of Algorithms Laboratory :- The major objective of this lab is to learn how to analyze a problem and design a solution for the problem. In addition to that solution using optimum parameters such as time complexity and least memory usage
Data Structures Laboratory
Analog and Digital Electronics Laboratory
Analog and Digital Electronics Laboratory :- The major objective of this lab is to learn analog and digital circuits. This enhances the learning of circuits like oscillators, multivibrators, multiplexers, flip flops, DAC, etc. by practical use and by simulation. The students also learn how to measure the period and frequency of an AC waveform, peak to peak voltage, and instantaneous voltage from the oscilloscope readings.
Microcontroller and Embedded System Laboratory :- The major objective of this lab is to understand the internal organization of INTEL 8086 Microprocessors and Assembly Language. The students will be working on programs using the instruction sets of processors and study the interfacing of the processor with various peripheral devices.
Database Management System Laboratory :- The major objective of this lab is to provide a strong formal foundation in database concepts, technology, and practice to the students and groom them into well-informed database application developers. The course is designed with a balanced blend of concepts, technology, and practice and boosts the holistic learning experience for the students.
Microcontroller and Embedded Systems Lab
File Structures Laboratory
File Structures Laboratory :- To design, develop and implement C++ programs using Standard input/output specifications, Methods, Indexing, Merging, and Resolution Techniques.
Web Programming Laboratory :- The Web programming subject gives an overview of how the web works, as well as a description of many of the most widely used web technologies. The challenge for the students in this course is to learn to use several different programming languages and technologies in one semester. Students build a static website using only XHTML as the first program, along with the study of object oriented programming. Write a valid standards-conformant HTML document involving a variety of element types, including hyperlinks, images, lists, tables, and forms
Project Laboratory :- The project laboratory of the department offers the students, the opportunity to gain valuable hands-on experience in a state-of-the-art environment where students become proficient in creative skills needed in the field of Information Science and Engineering. The Project Laboratory has a key role in promoting practical learning experience, where students develop creative proposals, and execute their final projects.
Project Laboratory
Artificial Intelligence and Machine Learning Laboratory
Artificial Intelligence and Machine Learning Laboratory :- The objective of the Machine Learning Laboratory is to provide a comprehensive introduction to various machine learning algorithms. This course will enable the students to design and implement machine learning solutions to classification, regression, and clustering problems as well as to evaluate and interpret the results of the algorithms.
Program Overview
Information Science and Engineering is a discipline which includes theories, standards, methods and innovations of various different domains like mathematics, cognitive science and information theory to solve complex IT problems. Information Science Engineering is the ideal course for those who like to utilise various theories and innovations to solve complex problems in the IT sector. Information Science and Engineering professionals can contribute in IT and other sectors through analysis, design, development, support and testing of software along with embedded applications. It also throws light on how to analyse and interpret the raw data. It is an area of professional practice that addresses the effective communication between information in the context of social, organizational, and individual needs in order to build the software or embedded applications for societal benefit.
Program Specific Outcomes
- To collect data, validate the data, design, and develop software models, concert models into a working solution using appropriate algorithms and programming language.
- To expertise in the sub domains of Information Science and Engineering such as file structures, data mining, big data analytics, cloud computing, robotic process automation to reach industry needs.
- Ability to develop practical competency in programming languages and open-source platforms.
Program Outcomes
- Engineering knowledge :- Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis :- Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ethics :- Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work :- Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- Project management and finance :- Demonstrate knowledge and understanding of the Engineering and management principles and apply these to oneβs own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life -long 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.
Program Objectives
- To produce graduates who have the knowledge of science and engineering concepts for a computer professional to perform technical roles in the software industry.
- To produce graduates who formulate, analyse and provide innovative solutions to real world problems in Information Science and Engineering by adapting to new trends in the domain to carve a successful career in the industry.
- To produce graduates who exhibit leadership capability and be a supportive member serving the society in every possible way to build some innovative ideas for solving problems by applying research methodologies.