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Program Educational Objectives (PEOs)
PEO 1: Pursue a successful professional career in IT and IT-enabled industries.
PEO 2: Pursue lifelong learning in generating innovative engineering solutions using research
and complex problem-solving skills.
PEO 3: Demonstrate professionalism, ethics, inter-personal skills and continuous learning to
develop leadership qualities.
Program Specific Outcomes (PSOs)
PSO 1: DataScienc for Life: Ability to represent the knowledge and predicate logic and then transform the real-life information into a different representation.
PSO 2: AI Application Development: Design and Develop Deep Learning Models on the Cloud System using Cloud Services like Amazon Web Services, Microsoft Azure, Hadoop System, etc., to work on AI & ML for providing solutions to Geo-Socio-Economic problems.
Program Outcomes (POs)
Program Outcomes (POs), are attributes acquired by the student at the time of graduation. The POs given in below, ensure that the POs are aligned to the Graduate Attributes (GAs) specified by National Board of Accreditation (NBA). These attributes are measured at the time of Graduation.
PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.PO 2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3: 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.
PO 4: 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.
PO 5: 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.
PO 6: 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.
PO 7: 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.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: 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.
PO 11: 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.
PO 12: 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.
B.Tech. CSE - Artificial Intelligence (AI) & Machine learning (ML)
VFSTR has introduced a four-year B.Tech.CSE - Artificial Intelligence (AI) & Machinelearning (ML) from the academic year2020-21. AI & ML is a well-establishedspecialization of computer scienceconcerned with methods to designcomputers or machines as intelligent.
AIML provides applications that have an ability to learn through the experience without being explicitly Programd. ML enables applications to recognize patterns in the data in the same way as human brains do. It has become an integral part of our day to day lives and few of the widely used applications are Traffic Alerts, Social Media (Facebook, Twitter), Product Recommendations (Amazon, FlipKart), Virtual Personal Assistants (Siri, Google Assist), Directions in Google maps, Self-Driving Cars, Online Video Streaming (NetFlix). As per the recent reports, AI/ ML Engineer is the best job of 2019 due to the growing skill demand that attracts high salaries. AI/ ML professionals are getting an annual hike of 20-30% when compared to other skill areas. Starting such a program is a step towards fulfilling the high skill demand for AI/ ML professionals across the globe.
Career Opportunities
B.Tech. CSE - AIML prepares students for the below job roles.
| I Year (R19 Regulation) | I Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 19HS103 | Engineering Mathematics 1(C) Linear Algebra & Ordinary Differential Equations |
3 | - | 2 | 4 | |
| 19HS113 | Engineering Physics 1(A) | 3 | - | 2 | 4 | |
| 19EE101 | Basics of Electrical & Electronics Engineering | 3 | - | 2 | 4 | |
| 19ME104 | Engineering Graphics & Design | 1 | - | 2 | 2 | |
| 19CS103 | Programming for Problem Solving - I | 3 | - | 4 | 5 | |
| 19CS104 | Basics of Computer & Internet | 1 | - | 2 | 2 | |
| 19PC001 | Physical fitness, Sports & Games-1 | - | - | 3 | 1 | |
| Total | 14 | - | 17 | 22 | ||
| I Year (R19 Regulation) | II Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 19HS103 | Engineering Mathematics 2(C) Calculus & Numerical Methods |
3 | - | 2 | 4 | |
| 19CS106 | Discrete Mathematical Structures | 3 | - | - | 3 | |
| 19HS117 | Engineering Chemistry | 2 | - | - | 2 | |
| 19CS105 | Programming for Problem Solving-II | 3 | - | 4 | 5 | |
| 19HS122 | English Proficiency and communication skills | - | - | 2 | 1 | |
| 19HS124 | Constitution of India | 1 | - | - | 1 | |
| 19ME103 | Workshop | 1 | - | 2 | 2 | |
| 19HS123 | Technical English Communication | 2 | - | 2 | 3 | |
| 19PC002 | Physical fitness, Sports & Games-2 | - | - | 3 | 1 | |
| Total | 15 | - | 15 | 22 | ||
| II Year (R16 Regulation) | III Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16HS202 | Probability and Statistics | 4 | - | - | 4 | |
| 16MS201 | Management Science | 3 | - | - | 3 | |
| 16CS201 | Database Management Systems | 3 | 1 | 2 | 5 | |
| 16CS202 | Data Structures | 3 | - | 2 | 4 | |
| 16CS203 | Digital Logic Design | 3 | 1 | - | 4 | |
| 16CS204 | Discrete Mathematical Structures | 3 | - | - | 3 | |
| 16EL102 | Soft Skills Laboratory | - | - | 2 | 1 | |
| Employability and Life SkillsElective | - | - | - | 1-3 | ||
| Total | 19 | 2 | 6 | 25-27 | ||
| II Year (R16 Regulation) | IV Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16CS205 | Computer Organization and Architecture | 3 | 1 | - | 4 | |
| 16CS206 | Design and Analysis of Algorithms | 3 | - | 2 | 4 | |
| 16CS207 | Formal Languages and Automata Theory | 3 | 1 | - | 4 | |
| 16CS208 | Object Oriented Programming using JAVA | 3 | - | 2 | 4 | |
| Department Elective | - | - | - | 3 | ||
| Department / Open Elective | - | - | - | 3-4 | ||
| Employability and Life Skills Elective | - | - | - | 1-3 | ||
| Total | 12 | 2 | 4 | 23-26 | ||
| III Year (R16 Regulation) | V Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16HS301 | Professional Ethics | 2 | - | - | 2 | |
| 16CS301 | Software Engineering | 3 | - | 2 | 4 | |
| 16CS302 | Web Technologies | 3 | 1 | 2 | 5 | |
| 16CS303 | Compiler Design | 3 | - | - | 3 | |
| 16CS304 | Operating Systems | 3 | - | 2 | 4 | |
| Department Elective | - | - | - | 3-4 | ||
| Department / Open Elective | - | - | - | 3-4 | ||
| Employability and Life Skills Elective | - | - | - | 1-3 | ||
| Total | 14 | 1 | 6 | 25-29 | ||
| III Year (R16 Regulation) | VI Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16CS305 | Data Mining Techniques | 3 | - | 2 | 4 | |
| 16CS306 | Computer Networks | 3 | - | 2 | 4 | |
| 16CS307 | Microprocessors and Interfacing | 3 | - | - | 3 | |
| 16CS308 | Operations Research for Computer Science Engineers | 3 | 1 | - | 4 | |
| Department Elective | - | - | - | 3-4 | ||
| Department / Open Elective | - | - | - | 3-4 | ||
| Employability and Life Skills Elective | - | - | - | 1-3 | ||
| Total | 12 | 1 | 4 | 22-26 | ||
| IV Year (R16 Regulation) | VII Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16CS401 | Search Engines | 3 | - | - | 3 | |
| 16CS402 | Embedded Systems | 3 | - | 2 | 4 | |
| 16CS403 | Information Security | 3 | - | 2 | 4 | |
| 16CS404 | Mobile Communications | 3 | - | 2 | 4 | |
| Department Elective | - | - | - | 3-4 | ||
| Department / Open Elective | - | - | - | 3-4 | ||
| Employability and Life Skills Elective | - | - | - | 1-3 | ||
| Total | 12 | - | 6 | 22-26 | ||
| IV Year (R16 Regulation) | VIII Semester | |||||
|---|---|---|---|---|---|---|
| Code | Subject | L | T | P | C | |
| 16CS411 / 16CS412 | Project Work / Internship | - | - | 30 | 15 | |
| Total | - | - | 30 | 15 | ||
| L=Lecture; T=Tutorial; P=Practicals; To=Total; C=Credits; |
| Program Name | B.Tech CSE - Artificial Intelligence and Machine Learning | |
| Level | Under Graduation | |
| Program Specific Enquiries | 0863-2344731 | |
| Admission Enrollment and General Enquiries | 0863-2344777, 1800-425-2529 |
|
| HoD Contact Number | 9840850744 | |