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President Award Click here CAREER Click here Online Programmes Click here
Faculty of Engineering & Technology
BACHELOR OF TECHNOLOGY IN COMPUTER SCIENCE & ENGINEERING (BIG DATA AND ANALYTICS)
Program Details
Fees
Tuition Fees
₹ 127800+IBM Charges Extra* /- per year
Contact No.:
+91- (M) 7567020548
admission.ict@ganpatuniversity.ac.in
Eligibility
Program Outcome
1. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. 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.
4. 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.
5. 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.
6. 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.
7. Understand the impact of the professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
8. Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
9. Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. Communicate effectively on complex engineering activities with the engineering community and with society, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. 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.
12. 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.
Program Educational Objectives (PEO)
1. Graduates will be able to engage in learning, understanding, design and applying new ideas and technologies as big data & analytics field evolves along with participation in creative, synthetic and integrative activities.
2. Graduates will have the ability to adapt, contribute and innovate new technologies and systems in the key domains of Computer Science and Engineering.
3. Graduates will be ethically and socially responsible solution providers and entrepreneurs in Computer Science and other engineering disciplines.
4. Graduates will possess the additional skills in handling Big Data & Analytics using the state-of-art tools and techniques.
5. Graduates will be able to apply the principles of data science for providing real world business solution
Syllabus
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Internet Programming | Open | 2CSE101 | 5 | Effective from 2024 | |
| Essential of software foundation & programming–I | Open | 2CSE102 | 5 | Effective from 2024 | |
| Digital Electronic | Open | 2CSE103 | 4 | Effective from 2024 | |
| Basic Electronics | Open | 2CSE105 | 4 | Effective from 2024 | |
| Calculus | Open | 2HS101 | 4 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Linear Algebra | Open | 2HS102 | 4 | Effective from 2024 | |
| Basics of Communication Systems | Open | 2CSE202 | 4 | Effective from 2024 | |
| Essentials of software foundation & programming - II | Open | 2CSE203 | 5 | Effective from 2024 | |
| Basics of operating system & scripting | Open | 2CSE204 | 2 | Effective from 2024 | |
| Computer organization | Open | 2CSE205 | 4 | Effective from 2024 | |
| Audit Course-II | Audit | AC-II | 0 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Applied Engineering Mathematics | Open | 2HS306 | 4 | Effective from 2024 | |
| Entrepreneurship Development | Open | 2HS309 | 3 | Effective from 2024 | |
| Societal Internship | Regular | 2HS308 | 1 | Effective from 2024 | |
| Database Management System | Open | 2CSE301 | 6 | Effective from 2024 | |
| Data Structures | Open | 2CSE302 | 5 | Effective from 2024 | |
| Object Oriented Programming | Open | 2CSE303 | 5 | Effective from 2024 | |
| Audit Course-III | Audit | AC-III | 1 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Probability & Statistics | Open | 2CSE401 | 4 | Effective from 2024 | |
| Operating System | Open | 2CSE402 | 4 | Effective from 2024 | |
| Functional Programming | Open | 2CSE403 | 4 | Effective from 2024 | |
| Software Engineering | Open | 2CSE411 | 4 | Effective from 2024 | |
| Front End Technologies | Regular | 2CSE410 | 5 | Effective from 2024 | |
| Audit Course-IV | Audit | AV-IV | 0 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Microcontroller & Applications | Open | 2CSE508 | 4 | Effective from 2024 | |
| Computer Networks | Open | 2CSE502 | 4 | Effective from 2024 | |
| Algorithm Analysis & Design | Open | 2CSE503 | 5 | Effective from 2024 | |
| Summer Internship | Open | 2CSE504 | 2 | Effective from 2024 | |
| Big Data Analytics | Open | 2CSE506 | 5 | Effective from 2024 | |
| Virtualization | Elective | 2CSE50E20 | 4 | Effective from 2024 | |
| Data Science and Modelling using R | Elective | 2CSE50E27 | 4 | Effective from 2024 | |
| Aptitude Skill Development | Open | 2CSE509 | 2 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Theory of Computation | Open | 2CSE601 | 4 | Effective from 2024 | |
| Information Security | Open | 2CSE602 | 4 | Effective from 2024 | |
| Discrete Mathematics | Open | 2CSE607 | 3 | Effective from 2024 | |
| Predictive Modeling | Open | 2CSE608 | 5 | Effective from 2024 | |
| Image Processing | Elective | 2CSE60E20 | 3 | Effective from 2024 | |
| Artificial Intelligence | Elective | 2CSE60E14 | 4 | Effective from 2024 | |
| High Performance Computing | Elective | 2CSE60E25 | 4 | Effective from 2024 | |
| Data Mining and Warehousing | Elective | 2CSE60E27 | 3 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Compiler Design | Open | 2CSE701 | 4 | Effective from 2024 | |
| Machine Learning | Open | 2CSE702 | 4 | Effective from 2024 | |
| Advanced Big Data Analytics | Elective | 2CSE70E13 | 4 | Effective from 2024 | |
| Cloud Computing Essentials | Elective | 2CSE70E19 | 4 | Effective from 2024 | |
| Cognitive Computing | Elective | 2CSE70E23 | 5 | Effective from 2024 | |
| Cyber Defence | Elective | 2CSE70E25 | 4 | Effective from 2024 |
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Industrial Project | Regular | 2CSE801 | 16 | Effective from 2024 |