DEPARTMENT OVERVIEW
The Department of Computer Science and Engineering, since its inception in 2008 came with an initial intake of 60 students in UG programme and enhanced its intake to 120 in the year 2012.
Always attracted the best of engineering aspirants from all over the country and abroad.
Department is effective in inducing skilled and competent Computer Engineers and Entrepreneurs prepared to fulfil the requirements of the industry and society at large
Department is well equipped with adequate infrastructure to support academic, research and extra-curricular activities for the all-round development of our students with well-qualified, skilled and experienced faculty members.
The Department frequently organizes Hands-on Workshops, Seminar , Webinars, Guest Lectures and Faculty Development Programs in recent trends from Industry Resource for the beneficial of students and faculty community.
The Department organizes National Conference – “KITE” every year which provides Research & Developmental opportunities to research scholars and students from various colleges across the country.
The Department encourages the students to conduct and participate in extracurricular/ sports activities.
COLOSSUS is a two day National Level Tech fest organized by the Department of Computer Science and Engineering. The fest receives participation from various colleges across the country.
The Department has signed MoU’s with leading IT Industries and International Journals.
The Proctorial and Mentoring system is active by meeting students and conducts Parents Teachers Meeting
The Alumni network is active and regular meetings are conducted by the Department
The Students are placed and have succeeded in carving respectful positions in top MNC companies and many have opted for higher studies in various Foreign Universities, IIT’s etc.
VISION AND MISSION
Vision
To advance the intellectual capacity of the student community by imparting knowledge to be ingenious entrepreneurs and competent professionals.
Mission
To disseminate technical knowledge with strong emphasis on curriculum development.
To impart computing skills to make the graduates globally competitive.
To inculcate value based professional ethics, become prevalent in industry and promoting research activities.
PROGRAM EDUCATIONAL OBJECTIVES (PEO's)
To impart a strong foundation in engineering fundamentals, knowledge and capability of quality study.
To provide in depth knowledge in analysing, design and solving real life computational problems.
To foster professionalism with ethical consciousness, interpersonal skills and be able to adapt to the evolving technical changes..
PROGRAM SPECIFIC OUTCOMES (PSO's)
1. Demonstrate and understand the principle and working of computer system , solve computational task using appropriate techniques, tools and skills.
2. Possess professional engineering practices in various domain’s to identify research gaps and create scalable IT solutions.
3. Creating innovative career path, achieve additional expertise and zest for higher studies.
PROGRAM OUTCOMES (PO's)
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PO 1
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Engineering knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to the solution of complex engineering problems.
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PO 2
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Problem analysis : Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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PO 3
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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.
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PO 4
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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
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PO 5
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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.
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PO 6
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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.
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PO 7
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Environment and sustainability : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.
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PO 8
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Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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PO 9
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Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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PO 10
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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.
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PO 11
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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.
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PO 12
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Life-long learning : Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
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INFRASTRUCTURE
Realizing the importance of rapid advancements in the Computer Science & Information Technology sectors, all the laboratories have been furnished with high speed LAN. The labs are updated and upgraded frequently as per the requirements and demand of industry. The well-equipped laboratories help students to meet ever increasing technological and social challenges with its traditions of self-discipline, hard work and a creative approach to solve problematic issues.
DEPARTMENT LABORATORIES
- Computer Programming Laboratory.
- Data Structures & OOPs Laboratory.
- Electronic Circuits & Logic Design Laboratory.
- Analog & Digital Electronics Laboratory.
- Microprocessor Laboratory.
- Design and Analysis of Algorithm Laboratory.
- System Software & Operating System Laboratory.
- Mobile Application Development Laboratory.
- Unix & System Programming Laboratory.
- Computer Graphics Laboratory.
- Database Management Laboratory.
- Network Simulation Laboratory.
- Machine Learning Laboratory.
- Web Programming Laboratory.
- Project Lab.
SALIENT FEATURES / BEST PRACTICES
- We have transformed our teaching techniques from black board to hands-on experience and ICT learning.
- The Department emphasizes practical and project based learning for students. Students are working on Real time projects in various domains such as Machine Learning, Artificial Intelligence, Internet of Things, Cyber Security, etc.
- The Department has efficient and well qualified faculties.
- The Department has well-equipped WiFi enabled Laboratories and classrooms with CCTV monitoring.
- Additional tutorials classes are conducted for slow learners.
- Expanding learning opportunities through online classes and providing course materials and Laboratory programs videos.
- The Department fosters student’s participation in National/ International Conferences, Technical fest, Cultural events, Sports meets and extracurricular activities.
- The Department promotes students to prepare for various Competitive examinations, many of our students have enrolled in GATE examination and opted for higher studies in various Foreign Universities and IIT’s.
- Students actively participate in University Level Sports meet, Inter College Fest, Hackathon, National Technical Fest, Awareness Camps etc. while focusing on academics..
- Industrial experts have been invited to conduct Hands-On Workshops, Seminars, Skill development programs. .
The department has conducted various workshops/seminars/Guest lectures/Webinars, The best students are awarded every academic year and financially supported. Few are listed below:
- Block Chain.
- Networking and Communication.
- Developing Cross Platform Mobile and Web Apps.
- Big Data Analytics.
- Software Testing and Web Application.
- Machine Learning.
- Artificial Intelligence..
- Cloud Computing.
- Amazon Web Services (AWS).
- Cyber Security.
- Python Programming.
- Tips To Crack the Campus Placement Interview.
- Carrier Enhancement, Inspiration.
- DNS Security and DNS Configuration.
- iOS App Development BootCamp.
COURSE STRUCTURE
3rd to 8th Semester BE – Computer Science and Engineering Scheme of Teaching and Examinations Outcome Based Education (OBE) and Choice Based Credit System (CBCS) (Effective from the academic year 2018 – 19)
ELIGIBILITY
General Criteria:
Candidates must have passed Class 10+2 exam from a recognised board with Physics, Chemistry and Mathematics as core subjects.
Must have secured a minimum aggregate marks of 45% in the above subjects combined.
In case od SC / ST, Category-1, 2A, 2B, 3B and 3B category , minimum marks for the eligibility shall be 40%.
KCET - E171
COMEDK - E030
Course Structure