Rayat Shikshan Sanstha's
KARMAVEER BHAURAO PATIL COLLEGE,
VASHI. NAVI MUMBAI
(Autonomous)
Name of the Faculty: Science and Technology
Name of the Program : B.Sc. DS
Program Outcomes (POs) |
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PO-1 | Disciplinary Knowledge | Understand the basic concepts, fundamental principles, theoretical formulations and experimental findings and the scientific theories related to Physics, Chemistry, Mathematics, Microbiology, Computer Science,Biotechnology, Information Technology and its other fields related to the program. |
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| PO-2 | Communication Skills | Develop various communication skills such as reading, listening and speaking skills to express ideas and views clearly and effectively. |
| PO-3 | Critical Thinking | Propose novel ideas in explaining the scientific data, facts and figures related to science and technology. |
| PO-4 | Analytical Reasoning and Problem Solving | Hypothesize, analyze, formulate and interpret the data systematically and solve theoretical and numerical problems in the diverse areas of science and technology. |
| PO-5 | Sense of Inquiry | Curiously ask relevant questions for better understanding of fundamental concepts and principles, scientific theories and applications related to the study. |
| PO-6 | Use of Modern Tools | Operate modern tools, equipment, instruments and laboratory techniques to perform the experiments and write the programs in different languages (software). |
| PO-7 | Research Skills | Understand how to design, collect, analyze, interpret and evaluate information/data that is relevant to science and technology. |
| PO-8 | Application of Knowledge | Develop a scientific outlook and apply the knowledge with respect to the subject. |
| PO-9 | Ethical Awareness | Imbibe ethical, moral and social values and exercise it in day to day life. |
| PO-10 | Teamwork | Work collectively and participate to take initiative for various field-based situations related to science, technology and society at large. |
| PO-11 | Environment and Sustainability | Create social awareness about the environment and develop sustainability for betterment of the future. |
| PO-12 | Lifelong Learning | Ability of self-driven to explore, learn and gain knowledge and new skills to improve the quality of life and sense of self-worth by paying attention to the ideas and goals throughout the life. |
Rayat Shikshan Sanstha's
KARMAVEER BHAURAO PATIL COLLEGE, VASHI.
NAVI MUMBAI (Autonomous)
Department of Artificial Intelligence and Machine Learning
Program Specific Outcomes(PSO)
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Department of Data Science
Program Specific Outcomes(PSO) |
| On completing the B. Sc. Data Science… |
| PSO-1 | Data Analysis and Programming Competency | Graduates will be able to collect, clean, analyze, and interpret data using statistical methods and programming tools. |
| PSO-2 | Machine Learning and Big Data Technologies | Graduates will apply machine learning and big data technologies to build models and analyze large datasets. |
| PSO-3 | Applied Data Science and Problem Solving | Graduates will use data science techniques to solve real-world problems across different application areas. |
| PSO-4 | Communication, Visualization, and Collaboration | Graduates will effectively communicate data insights using visualization tools and clear written and oral communication. |
| PSO-5 | Ethics, Leadership, and Lifelong Learning | Graduates will follow ethical practices, work well in teams, and continue learning to adapt to new data science technologies. |
Title of Specific Program : B.Sc. Data Science |
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| Course Code | Course Title | Course Outcome |
| F.Y. SEM I |
| DS101 | Database Management System with SQL | CO-1: Recall basic database concepts, DBMS architecture, ER models, and normalization principles.
CO-2 : Explain relational database design using keys, relationships, and normal forms.
CO-3: Apply SQL commands, clauses, joins, and functions to retrieve and manipulate data.
CO-4: Analyze and implement database objects such as views, indexes, and sequences for efficient data access.
CO-5: Evaluate database administration activities including transactions, backup, recovery, and emerging database technologies. |
| DS102 | Computing Foundations for AI & ML | CO-1: To introduce fundamental concepts of computer organization, operating systems, and networking..
CO-2: To build basic computing knowledge required for AI & ML.
CO-3: Identify different types of software, operating systems, and their functions.
CO-4: understand how AI/ML systems run on computing infrastructure. |
| DS104 | Logic and Discrete Mathematics | CO-1:Apply logical reasoning to solve basic computational and programming-related problems.
CO-2:Use sets, relations, and functions for data representation and mathematical modeling.
CO-3:Apply combinatorial techniques in probability, sampling, and data analysis problems.
CO-4:Analyze and interpret graph-based structures used in data science and network applications.
CO-5 : Explain the role of mathematical logic and discrete structures in data-driven and computational systems. |
| DS151 | Python – I | CO-1: Understand Python fundamentals including syntax, data types, operators, control statements, and variable scope.
CO-2: Develop programs using user-defined functions, built-in functions, and different types of function arguments.
CO-3: Apply Python data structures such as strings, lists, tuples, sets, dictionaries, and collections for efficient data handling.
CO-4: Use modules and packages to build modular and reusable Python programs.
CO-5: Design basic GUI applications using Tkinter and perform database connectivity operations using Python. |
| DS152 | Linear Algebra | CO-1: To understand basic concepts of matrices and vectors.
CO-2: To solve simple systems of linear equations.
CO-3: To introduce eigenvalues and eigenvectors at a fundamental level.
CO-4: To build a mathematical base for AI & ML studies.. |
| DS154 | Excel and Advanced Excel | CO-1: Use basic Excel features for data entry, formatting, validation, formulas, sorting, filtering, and printing worksheets.
CO-2: Apply Excel functions and cell referencing techniques to perform calculations, logical decisions, and error handling.
CO-3: Analyze data using charts, Pivot Tables, Pivot Charts, and statistical functions for meaningful interpretation.
CO-4: Perform advanced data analysis using lookup functions, text/date/financial functions, array formulas, and dynamic ranges.
CO-5: Automate and manage data using Power Query, macros, VBA, and develop Excel-based projects and dashboards. |
