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ADMISSION ENQUIRY - 2024
Industrial Project
GANPAT UNIVERSITY |
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FACULTY OF TECHNOLOGY |
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Programme |
Bachelor of Technology |
Branch/Spec. |
Computer Science & Engineering (BDA) |
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Semester |
VIII |
Version |
1.0.0.0 |
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Effective from Academic Year |
2020-21 |
Effective for the batch Admitted in |
June 2017 |
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Subject code |
2CSE801 |
Subject Name |
INDUSTRIAL PROJECT |
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Teaching scheme |
Examination scheme (Marks) |
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(Per week) |
Lecture(D T) |
Practical(Lab. ) |
Total |
CE |
SEE |
Total |
|||||||
L |
TU |
P |
TW |
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Credit |
0 |
0 |
16 |
0 |
16 |
Theory |
00 |
00 |
000 |
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Hours |
0 |
0 |
32 |
0 |
32 |
Practical |
200 |
200 |
400 |
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Pre-requisites: |
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Programming Languages, Web Technologies, Software Engineering, Big Data Application Development, Data Science and Modeling , Big Data Analytics, Machine Learning, Internet of Things, Functional Programming |
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Learning Outcome: |
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After successful completion of this subject students will be able to: ● Understand core technical concepts related to Business Intelligence , Big Data Analytics along with Hadoop Architecture ● Apply relevant theoretical and practical knowledge to understand Business Analytics solutions and highlight key capabilities of Big Data & Business Analytics ● Apply cutting edge Analytical Tools to Find, Interpret, Analyze Business Data ● Align Big Data technology to the need of business |
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Guidelines for Project: - Students have to do project work individually / in the team of max 2 persons. - Individual evaluation will be done. - There will be 3 midterm evaluation along with the presentation on a monthly basis.. One of them is conducted by an external examiner. - Final evaluation will be done by external examiner. Guidelines for Industrial Project: - Students have to do project work individually / in the team of max 2 persons. - Individual evaluation will be done. - Students will have to come for first reporting within first four weeks of semester. |
- There will be 3 midterm evaluations along with presentation on a monthly basis. First midterm evaluation will be within 6 weeks and second midterm evaluation will be within 10 weeks from starting of the semester. Final evaluation and 1 midterm evaluation will be done by external examiner. |
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Course Outcomes: |
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Cos |
Description |
|
CO1 |
Give exposure of Industry and real time project experience |
|
CO2 |
Learn and gain experience for collaborating in team for problem solving |
|
CO3 |
To development skills like technical communication, presentations, software development life cycle activities |
|
CO4 |
Enhance and/or expand the student's knowledge of a particular area(s) of big data analytics. |
Mapping of CO and PO:
COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
CO1 |
3 |
3 |
3 |
3 |
3 |
3 |
2 |
2 |
2 |
3 |
2 |
3 |
CO2 |
2 |
2 |
2 |
2 |
2 |
3 |
3 |
2 |
2 |
2 |
3 |
3 |
CO3 |
3 |
2 |
2 |
3 |
2 |
2 |
2 |
3 |
3 |
2 |
2 |
2 |
CO4 |
2 |
3 |
3 |
2 |
3 |
3 |
3 |
3 |
2 |
2 |
3 |
3 |