B.Tech. Artificial Intelligence & Machine Learning
CSE specialization
B.Tech. in Artificial Intelligence & Machine Learning (B.Tech. CSE specialization) aims to help students obtain a practical understanding of various Artificial Intelligence and Machine Learning functions. Both AI and ML are revolutionizing the world in almost every industry and domain. The need for intelligent and critical decision-making across industries has led to the exponential growth in the adoption of AI and ML technologies. As industries open shores for automation and other new-age technologies, the demand for AI and ML professionals has risen to new heights.
To fulfil the increasing need of the industry, The Department of Computer Science & Engineering, at DBUU, one of the best artificial intelligence and machine learning colleges in Dehradun, offers advanced industry-relevant BTech in AI and ML programme that familiarizes students with diverse concepts such as OOPS Programming, Software Engineering, Data Structures, Algorithms, Databases, SDLC, Design Processes, and more. Students will also gain an in-depth knowledge of Machine Learning and Artificial Intelligence concepts by practicing the applications of natural language processing, computer vision, robotics, machine learning pipelines, data, algorithms, models, empirics, and more
DBUU strives to equip students with superior technical skills needed for the 21st century and open avenues for fulfilling careers.
Salient Features
- 19+ years of academic excellence
- Focus on student-centered learning
- Problem-based learning and industry-relevant curriculum
- Best placement opportunities to get placed in high-end and reputed companies
- Industrial training in reputable firms and organizations
- The privilege of 100% placement guidance and support
- Department-organized tech fests and hackathons
- Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
- Active student clubs and bodies
- The multi-cultural and vibrant teaching environment
Admissions Open 2024!!
Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.
Eligibility & Fee Details
Duration & Eligibility
4 Years
Candidate must have passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Computer Science/ Electronics/ Information Technology/Biology/Informatics Practices and have obtained at least 55% marks (50% in case of candidate belonging to reserved category) in the above subjects taken together from a recognized board/university.
Duration & Eligibility(Lateral Entry)
3 Years
Candidate must have Passed Diploma examination with at least 45% marks in ANY branch of Engineering and Technology.
Fee Structure |
|
Course | Total Fee |
Academic fee ( Per Sem) | ₹ 82,500/- |
Academic fee ( Per Sem(Lateral Entry)) | ₹ 75,000/- |
One Time Fee |
|||
Application Fee (Non-Refundable) | Admission Fee (Non-Refundable) | University Enrollment Fee (Non-Refundable) | |
₹ 1,500 | ₹ 7,000 | ₹ 3,000 | |
Exam fees ( Per Semester) | 4,500/- | ||
Download Fee Structure |
Click Here | ||
Download Fee Structure(Lateral Entry) |
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Program Educational Objectives (PEO's)
PEO-1 | The graduates will establish themselves as experts by solving real-life obstacles following exploratory and analytical skills obtained in CSE -Artificial Intelligence & Machine Learning |
PEO-2 | The graduates will render sustainable solutions to ever-changing interdisciplinary global problems through their research & innovation capabilities |
PEO-3 | The graduates will become employable, successful entrepreneurs as a consequence of industry-academia collaboration |
PEO-4 | The graduates will include a professional code of ethics while implementing a solution to multidisciplinary social problems in an entrepreneurial, industrial, and research environment to display leadership qualities |
Program Specific Objectives (PSO's)
PSO-1 | Explore logic and thinking methods from a computational perspective |
PSO-2 | Acquire about an agent, search, probabilistic models, knowledge and insight, and machine learning |
PSO-3 | Learn about the state of the art technologies like Human-Computer Interaction, Deep Learning, and Augmented Reality |
PSO-4 | Design solutions for difficult engineering problems and design system elements or methods that meet the defined needs with relevant consideration for public health and safety and the environmental, cultural, societal, and considerations |
Program Grid Structure
Semester 1
Course Code | Course | Credit |
---|---|---|
21BTBS101 | Calculus and Linear Algebra | 4 |
21BTBS102/ 21BTBS103 | Engineering Physics/ Engineering Chemistry | 4 |
21BTCS101 | Algorithm Thinking & Problem Solving using C | 3 |
21BTME101/ 21BTEC101 | Elements of Mechanical Engineering / Elements of Electronics & Communication | 3 |
23BTEE101/ 23BTCS102 | Elements of Electrical Engineering/ Python Programming | 3 |
23LS191/23LS192 | English Communication/Environmental Studies | 2 |
Practical | ||
21BTBS181/ 21BTBS182 | Engineering Physics/ Engineering Chemistry Lab | 1 |
21BTCS181 | Programming for Problem solving Lab | 1 |
21BTME181/ 21BTEC181 | Elements of Mechanical Engineering / Elements of Electronics & Communication Lab | 1 |
21BTME182 | Computer Aided Engineering Drawing | 1 |
23BTEE181/ 23BTCSE282 | Elements of Electrical Engineering Lab/ Python Lab | 1 |
VAM103XX | Value Added Course-I | 0 |
TOTAL | 24 |
Semester 2
Course Code | Course | Credit |
---|---|---|
21BTBS201 | Differential Equations & Numerical Methods | 4 |
21BTBS102/ 21BTBS103 | Engineering Physics/ Engineering Chemistry | 4 |
23BTEE101/23BTCS102 | Elements of Electrical Engineering/Python Programming | 3 |
21BTCS201/21BTCE201 | Data Structures/Elements of Civil Engineering & Mechanics | 3 |
21BTME101/21BTEC101 | Elements of Mechanical Engineering / Elements of Electronics & Communication | 3 |
23LS191 / 23LS192 | English Communication / Environmental Studies | 2 |
Practical | ||
21BTBS182/ 21BTBS183 | Engineering Physics/Engineering Chemistry Lab | 1 |
23BTEE181/ 23BTCS182 | Elements of Electrical Engineering Lab/ Python Lab | 1 |
21BTME181 / 21BTEC181 | Elements of Mechanical Engineering / Elements of Electronics & Communication Lab | 1 |
21BTCS281/21BT ME281 | Data Structures Lab/Workshop Practices | 1 |
VAM203XX | Value Added Course-II | 0 |
Social Internship of 3-4 weeks duration in summer vacation after completion of Second Semester, to be evaluated during 3rd semester | ||
TOTAL | 23 |
Semester 3
Course Code | Course | Credit |
---|---|---|
21BTCS301 | Object Oriented Programming | 3 |
21BTCS302 | Digital Electronics | 4 |
21BTCS303 | Design and Analysis of Algorithms | 4 |
21BTCS304 | Discrete Mathematical Structures | 3 |
21BTCS305 | Operating System | 3 |
23AEC391 | Ability Enhancement Course-I | 1 |
23LS291 | Indian knowledge System | 0 |
Practical | ||
21BTCS381 | Object Oriented Programming Lab | 1 |
21BTCS382 | Digital Electronics Lab | 1 |
23SOCIALIN391 | Social Internship | 1 |
VAM303XX | Value Added Course-III | 0 |
TOTAL | 21 |
Semester 4
Course Code | Course | Credit |
---|---|---|
21BTCS401 | Theory of Automata and Formal Language | 3 |
21BTCS402 | Data Communication and Computer Networks | 3 |
21BTCS403 | Advanced Database Management Systems | 3 |
21BTCS404 | Computer System Architecture | 3 |
23AEC491 | Ability Enhancement Course-II | 1 |
230E46X | Open Elective-I | 2 |
23LS391 | Universal Human Values | 3 |
Practical | ||
21BTCS481 | Data Communication and Computer Networks Lab | 1 |
21BTCS482 | Advanced Database Management Systems Lab | 1 |
21BTCS484 | Computer System Architecture | 1 |
VAM403XX | Value Added Course-IV | 0 |
Internship of 3-4 weeks duration in summer vacation after completion of fourth Semester, to be evaluated during 5th semester | ||
TOTAL | 21 |
Semester 5
Course Code | Course | Credit |
---|---|---|
21BTCS501 | Object Oriented Analysis and Design | 3 |
21BTCS502 | Data Warehousing and Data Mining | 3 |
21BTCS503 | Mobile & Adhoc Computing | 3 |
21BTCS504 | Full Stack Development | 3 |
21BTCS505 | Micro Processor & Embedded Systems | 3 |
21BTCS51X | Programme Elective-I | 3 |
23AEC591 | Ability Enhancement Course-III | 1 |
Practical | ||
21BTCS581 | Object Oriented Analysis and Design Lab | 1 |
21BTCS582 | Full Stack Development Lab | 1 |
23PSPR591XX | Minor Project-I | 1 |
23PSIN591 | Internship | 1 |
VAM503XX | Value Added Course-V | 0 |
TOTAL | 23 |
Semester 6
Course Code | Course | Credit |
---|---|---|
21BTCS601 | Software Engineering | 3 |
21BTCS602 | Cloud Computing Technologies | 3 |
21BTCS603 | Compiler Design | 3 |
23BTCS604 | Machine Learning | 3 |
21BTCS61X | Programme Elective-II | 3 |
230E66X | Open Elective-II | 2 |
23AEC691 | Ability Enhancement Course-IV | 1 |
Practical | ||
21BTCS681 | Software Engineering Lab | 1 |
21BTCS682 | Cloud Computing Technologies Lab | 1 |
21BTCS683 | Machine Learning Lab | 1 |
23PSPR691XX | Minor Project-II | 1 |
VAM603XX | Value Added Course-VI | 0 |
TOTAL | 22 |
Semester 7
Course Code | Course | Credit |
---|---|---|
21BTCS71X | Programme Elective -III | 3 |
23BTCS72X | Programme Elective -IV | 3 |
Practical | ||
23PSPR791XX | Major Project-I | 4 |
(Honors in Research) | ||
21PHCC101 | Research Methodology* | 4* |
TOTAL | 14 |
Semester 8
Course Code | Course | Credit |
---|---|---|
23BTCS81X | Programme Elective -V | 3 |
23LS803 | Indian Constitution | 0 |
230E86X | Open Elective-III | 2 |
Practical | ||
21BTCS881 | Major Project-II | 8 |
(Honors in Research) | ||
23RND891XX | Research Work* | 8* |
TOTAL | 13 |
Programme Elective-I
S.No. | Course Code | Course Name |
1 | 21BTCS511 | Fundamentals of Security in IT |
2 | 21BTCS512 | Probability & Statistics |
3 | 21BTCS513 | System Administration |
4 | 21BTCS514 | Introduction to IOT & Blockchain |
Programme Elective-II
S.No. | Course Code | Course Name |
1 | 21BTCS611 | Cyber Security |
2 | 21BTCS612 | Data Visualization |
3 | 21BTCS613 | Client Server Computing |
4 | 21BTCS614 | IOT Application and Communication |
Programme Elective-III
S.No. | Course Code | Course Name |
1 | 21BTCS711 | Wireless Network Security |
2 | 21BTCS712 | Deep Learning |
3 | 21BTCS713 | Sensor Networks & IOT |
Programme Elective-IV
S.No. | Course Code | Course Name |
1 | 21BTCS711 | Cryptography & Network Security |
2 | 21BTCS712 | Data Science |
3 | 21BTCS714 | Optimization Technique |
Programme Elective-V
S.No. | Course Code | Course Name |
1 | 23BTCS811 | Computer Forensics |
2 | 21BTCS812 | Hadoop and Big Data Analytics |
3 | 21BTCS813 | Advanced Wireless Network |
3 | 21BTCS814 | Robotics Process Automation |
Job Opportunities The Course Might Lead To
The increasing prominence of AI and ML in the market has opened a lot of avenues for students; some such profiles include:
- Software Developer or Python Developer- Machine Learning/NLP
- Speech Scientist- Artificial Intelligence/Machine Learning
- AI/ML Analyst- Machine Learning Engineer
- Researcher- Machine Learning
- Image processing Engineer- Artificial Intelligence/Machine Learning