Vision Mission, Department of Computer Science, Shivaji University, Kolhapur

Vision Mission and Goals

(Under faculty of Science and Technology)

Vision
To impart training to analyze problems and develop human resources in order to produce computer Professionals, academics and researchers.
Mission
To train students for fundamental and advanced programming techniques right from essential mathematics and managerial science to high performance computing and soft computing.
Program Outcomes
Students will develop relevant programming abilities. Students will demonstrate proficiency with statistical analysis of data. Students will develop the ability to build and assess data-based models. Students will execute statistical analyses with professional statistical software. Students will demonstrate skill in data management. Students will apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively.
Course Outcomes
Part-I Semester-I
DDS-1	Foundations of data science	To learn basics of statistics regression analysis,mean,mode,median Overview of tools SQL,Hadoop,hive ,weka,Tableau, R, Python, To perform data analysis To learn statistical tools and application

DDS-2

Python for Data

Science

To Learn Basic Syntax of Python Programming.
To understand and implement concepts of object oriented methodology using Python.
To learn collections in Python.
. To develop problem solving skills and their implementation through Python.

DDS-3

AI and Machine

Learning

Provide an introduction to the basic principles, techniques, and applications of Artificial Intelligence.
Ability to select and implement machine learning techniques and AI computing environment that are suitable for the applications under consideration
Ability to understand and apply scaling up machine learning techniques and associated computing techniques and technologies.
Ability to recognize and implement various ways of selecting suitable model parameters for different machine learning techniques
Use different machine learning techniques to design AI machines and enveloping applications for real world problems.

DDS-4

Deep Learning

Students will be able to learn the fundamental concepts of artificial
neural networks.
Students will be able to understand convolution neural networks, recurrent neural networks.
Students will be able to understand the relationship between machine learning, deep learning and artificial intelligence.
Build own deep learning project.

Goals of the Department

To create a fine band of capable young researchers/ teachers /professionals with great thirst for new technologies, techniques and methodologies.
To produce technocrats to help society to cope up with challenges in new era of technologies.
To provide opportunities to young graduates of the university to reach his/her highest personnel and professional competence

Core Values

To create a fine band of capable young researchers/ teachers /professionals with great thirst for new technologies, techniques and methodologies.
To produce technocrats to help society to cope up with challenges in new era of technologies.
To provide opportunities to young graduates of the university to reach his/her highest personnel and professional competence.
To inculcate human values and professional ethics among students.

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