B.Tech | Computer Science & Engineering
DURATION : 4 YRS. (8 SEMESTERS)
The Department of Computer Science and Engineering offers B.Tech(Hons.) in Artificial Intelligence and Data Science for the students to grasp enriched knowledge in related industries driven curriculum. The major focus of this course is to nurture and sharpen students Technical skills with project based learning. Recurrent interactions with renowned experts of the fields and esteemed companies help the students to gain in-depth practical knowledge.
University is commencing B.Tech (Honours) from 2020-21. The nomenclature of the degree are as follows:
- B.Tech (Honours) in Computer Science Engineering (Artificial Intelligence) – 90 Seats
- B.Tech (Honours) in Computer Science Engineering (Data Science) – 90 Seats
Specializations
Specialization in Data Science
Specialization in Artificial Intelligence
PROGRAMME EDUCATIONAL OBJECTIVES (PEOS)
- ✔ Preparedness to understand & adapt with the technological advances at global level.
- ✔ An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
- ✔ To provide in-depth technical knowledge to design and develop solutions of real-world engineering problems.
PROGRAMME OUTCOME
- 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, 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 modeling 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.
- 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.
- Competitive Skills: Ability to compete in national and international technical events and building the competitive spirit.
Salient Features of Programme
- Instil knowledge in the major areas of Computer Science and Engineering such as Artificial Intelligence, Networking, Data bases, Data Analytics, Web Development and Cloud Computing.
- In addition to core curricula, course offers subjects like communication, analytical and soft skills to enhance personality and employability.
- Trainings, projects and guest lectures collaborated with industries help to learn from real life situations.
- Seminar and Project driven courses are designed to enhance technical and presentation skills.
- Industrial visits encourage students to have maximum industrial exposure through visits for problem identification and emerging technologies.
- Minor elective gives the students a choice to develop expertise in the interdisciplinary areas of interest for example Management and ECE.
- Curriculum is equipped with 21st century digital technologies for web designing, networking, mobile phone app development, data analytics, and data bases.
- Curriculum of the course is competent to impart skills as benchmarked by Wipro Talent++, Infosys Campus Connect, HCL K2 with option to undergo Industrial Certifications and Online Courses.
- Curriculum of the course is competent to impart skills as per feedback provided by premier organizations of industry and academia.
- Usage of demo kits in addition to animations, simulations, audio-visual aids, demonstrations provide interactive teaching methodology.
- Participation in technical events, sports and cultural activities help in the holistic development of students.
CURRICULUM
1st Year
- 1st Semester View PDF
- Engineering Mathematics-I
- Learning Programming Concept with C
- Fundamentals of Computational Biology
- Environmental Science
- Professional Ethics and Life Skills
- Language & Writing Skills
- 2nd Semester View PDF
- Engineering Mathematics-II
- Data Structure Using C
- Object Oriented Programming
- Digital Logic & Design
- Python for Data Science
- Entrepreneurship
B.Tech in Computer Science & Engineering (Artificial Intelligence) Scheme: View PDF
B.Tech in Computer Science & Engineering (Data Science) Scheme: View PDF
ELIGIBILITY CRITERIA
Duration: 4 yrs. The Candidates should have passed Senior Secondary (10+2) or an equivalent Examination in five subjects taken together including compulsory subjects of Physics, Mathematics and one subject of Chemistry/ Biotechnology/ Biology/ Computer Science & English with 60% marks in aggregate (40% marks in the case of SC/ ST Category). Or Passed Diploma examination with at least 60% marks (40% in case of candidates belonging to reserved category), subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
FEE STRUCTURE
| Semester | Description | Amount (INR) |
|---|---|---|
| 1st Semester | Tuition Fee | 45,000.00 |
| Development Fee | 2,000.00 | |
| Training and Placement | 700.00 | |
| Laboratory Fee | 2,000.00 | |
| Examination Fee | 563.00 | |
| Sport Fee | 500.00 | |
| Library Fee | 500.00 | |
| Total | 51,263.00 | |
| Caution Money | 3,000.00 | |
| Enrolment Fee | 2,500.00 | |
| Identity Card | 300.00 | |
| Admission Fee | 500.00 | |
| Grand Total | 57,563.00 |
KEY FEATURES
- Real Life Industry Projects
- Personalised Mentorship & Doubt-Solving Support
- Specialisation Certificates
- Making Students Industry Ready
- Complimentary Python Programming Bootcamp
- One-on-One with Industry Mentors
- Career Essential Soft Skills Program
- Job Assistance with Top Firms