Computer Science and Engineering
The Department of Computer Science and Engineering was established in 1998. The department offers B.Tech(Computer Science and Engineering), B.Tech(Artifical Intelligence), B.Tech(Data Science), M.Tech(Data Science) and Ph.D. in various specializations of the discipline.The backbone of the department is quality research, experienced faculty members and latest infrastructure. B.Tech (CSE) programme of the department is accredited by the National Board of Accreditation (NBA), India first time in 2012 for three years and second time for the academic years 2017-22(5 years).
Students of this department are prepared to excel as competent computer professionals, pursue advanced degrees, and possess technical knowledge, critical thinking skills, creativity and ethical values needed to promote peace, prosperity and growth in society. With a strong technical background, students of our department excel in university results, placements and higher studies every year.
Vision
To be in the frontier of nurturing globally competent computer professionals with Universal Human Values contributing to the betterment of society.
Mission
Mission:
|
Mission No. |
Mission Statements |
|
M1 |
To provide quality education for producing competent computer professionals having strong ethics, leadership qualities and entrepreneurial skills. |
|
M2 |
To Inculcate professional and personal behavior with strong innovative skills for holistic development. |
|
M3 |
To Support and provide an enthusiastic research environment for faculty and Students by collaborating with industry and academia to inspire them for higher studies and entrepreneurship. |
|
M4 |
To provide well-equipped laboratories in accordance with emerging technologies in computer Science and Engineering. |
Courses offered by the department:
|
Courses/Programs Offered |
Intake |
|
B.Tech(CSE) |
120 |
|
B.Tech(Data Science) |
60 |
|
B.Tech(Artificial Intelligence) |
60 |
|
B.Tech(Computer Science & Technology) |
60 |
|
M.Tech (Data Science) |
9 |
|
Ph. D. Enrolled |
26 |
1. B. Tech (Computer Science and Engineering)
Program Educational Objectives of B.Tech (Computer Science and Engineering)
The Bachelor of Engineering (Computer Science and Engineering) program has been offered at BIT, Durg since 1998. To prepare students for professional careers in computing and for advanced study the motto is:
PEO1: To enrich graduate students with core competencies by strengthening their mathematical, scientific, humanistic and engineering fundamentals to solve computational problems and to prepare them for industry and higher education.
PEO2: To develop professional skills and ethical values, teamwork, lifelong learning and adaptability to new technology in students, to serve society at large.
PEO3: To prepare capable students to apply technical computing skills with strong logic for successfully executing software/hardware related projects to meet global customer requirements.
PEO4: To provide facilities and support to students to gain multidisciplinary knowledge through projects, internships, industrial training and entrepreneurial skills leading to a sustainable competitive edge in research and development.
Program Specific Outcomes of B.Tech (Computer Science and Engineering)
PSO1: Visualization: Visualize the solutions for problems and apply the tools and techniques to design, code, test, debug and implement user friendly systems.
PSO2: System Development and Design: Research upon methodologies and apply emerging technologies in order to design new systems or refine the existing systems.
PSO3: Societal Impact: Able to exploit managerial skills both at individual levels and as team work to implement systems in multidisciplinary realms for societal development.
PSO4: Presentation and Entrepreneurial Skills: Communicate and present systems, research and entrepreneurial efforts effectively to the end users.
2. B. Tech Computer Science (Specialization: Artificial Intelligence) and (Specialization: Data Science)
Program Educational Objectives of B. Tech Computer Science (Specialization: Artificial Intelligence) and (Specialization: Data Science)
PEO 1: Engineering Knowledge: To provide Graduates with core competencies in successful careers in industry, academia and public service, by strengthening their core theoretical and practical knowledge in the domain of Data Science and Artificial Intelligence.
PEO 2: Application: To promote logical thinking, analytical capability, collaborative learning and team work spirit for facilitating cutting-edge AI solutions through multidisciplinary projects and diverse professional activities.
PEO 3: Social and Ethical Impact: To inculcate high professionalism, lifelong learning and ethical attitude for embracing global challenges by creating novel products and solutions to make positive impact on environment and society.
PEO 4: Innovation and Research: To imbibe adaptive ability to new environments/ technologies and work in multi-disciplinary areas with a focus on higher studies, research activities, innovation and entrepreneurship.
Program Specific Outcomes of B. Tech Computer Science (Specialization: Artificial Intelligence) and (Specialization: Data Science)
PSO1: Visualization: Exhibit attitude for continuous technical learning and deliver efficient solutions for emerging challenges in Data Science and Artificial Intelligence.
PSO2: System Development and Design: Able to design, develop, implement AI tools and Techniques for evaluating effective solutions for real-life and research problems.
PSO1: Societal Impact: Apply the knowledge of DS and AI to infer, predict or prescribe data centric solutions for fulfilling societal needs.
PSO1: Presentation and Entrepreneurship Skills: Gain knowledge in diverse areas of DS and AI in cultivating skills for higher studies, successful career, innovation and entrepreneurship.
3. M. Tech. (Data Science)
The M. Tech (Data Science) is a two year program introduced in 2018 with an intake of 18 students. Students are studying different subjects related to data science. Preliminary project work starts in the third semester and the fourth semester is completely allocated for project. The project typically has a strong research component. The course covers important subjects like big data analytics, IOT, predictive analytics, machine learning, high performance computing, next generation databases like MongoDB, data security.
Program Educational Objectives of M.Tech (Data Science)
PEO1: To produce data science engineers who are able to apply knowledge of machine learning, analytics and IOT to evaluate, secure, analyze and synthesize existing and new complex real world problems.
PEO2: To provide sufficient depth in artificial intelligence, data science, professionalism, ethics and experience necessary for successful careers in Data Science and related fields.
PEO3: Students are prepared to pursue research career in advanced areas like big data analytics, Data Security, Machine learning and related areas.
4. Ph. D. (Computer Science and Engineering)
Department is recognized as Research Center For offering PhD program in Computer Science and Engineering by Chhattisgarh Swami Vivekananda Technical University, Bhilai. The programme focuses on original research that can lead to publications in premier conferences or journals. Students are required to do some courses in the first semester and then move on completely to research.
Program Educational Objectives of PhD (Computer Science and Engineering)
PEO1: To have an in-depth knowledge of a sub-area of Computer Science and able to publish papers in reputed journals and conferences.
PEO2: Demonstrate their ability to further the frontier of knowledge in at least one sub-area of Computer Science and capable of guiding other researchers and able to acquire sponsored projects for the development of nation.
PEO3: Develop ethics and abilities for effective communication as researchers and educators.
Other
SHORT-TERM GOALS
- Motivate students to participate in STTPs/Seminars/Conferences/Workshops
- Motivate students to publish research paper in reputed national and international journals
- Promote faculty and students to design and fabricate and implement viable functional projects for the benefit of institution and country.
- To promote the faculty for career development by assisting them in acquiring higher qualification and sponsored projects.
- To create organizational culture that promotes cooperative learning and team work.
- To make people more conscious about quality, attitude, commitment and integrity.
Inoovation & Best Practices:
- BITSHINE - Software and Hardware based Project competitions are conducted every year in the department.
- Encourages students to register for NPTEL/Spoken tutorials/Coursera/Edx certification courses.
- YouTube video lectures are prepared by faculty members to enhance student learning process.
- Organizing Conferences in the department every year.
- Expert lectures /workshops/seminars based on modern tools and technique are regularly arranged.
- Industrial/vocational training are conducted to enhance practical skills of students.
- Quiz conducted after every online lecture by each faculty member (Moodle, Google forms, Other online platform, during Covid time).
- Quality internal assessments by including the questions from competitive examinations like GATE.
- Participation of students is encouraged in Online Learning Communities: Github, Postman, MLSA, GDSC.
Video Lectures by Faculties:
.jpg)
.jpg)
