ANNA UNIVERSITY, CHENNAI
NON-AUTONOMOUS AFFILIATED COLLEGES
REGULATIONS 2021
CHOICE BASED CREDIT SYSTEM
Department: Information Technology
Subject Code: CS3352
Subject Name: Foundations of Data Science
Study Material Description: Lecture Notes
Format Type: PDF
Edition / Version Details: MSAJCE 2024 Edition
Introduction:
As per the Regulations 2021 of Anna University, Chennai, the Department of Information Technology offers "Foundations of Data Science" (CS3352) under the Choice Based Credit System (CBCS) in non-autonomous affiliated colleges. This subject is designed to provide students with a strong foundation in the principles and techniques of data science, which are essential for analyzing and interpreting large datasets.
Study Material Description: Lecture Notes:
The provided study material for "Foundations of Data Science" (CS3352) consists of comprehensive Lecture Notes. These Lecture Notes cover all the key topics and concepts included in the syllabus of the course. They are meticulously prepared by experienced faculty members to facilitate effective learning and understanding of data science principles.
Format Type: PDF:
The Lecture Notes for "Foundations of Data Science" (CS3352) are available in PDF format. This digital format offers several advantages, including ease of access, portability, and compatibility across different devices and platforms. Students can conveniently access the Lecture Notes on their computers, laptops, tablets, or smartphones, enabling flexible and on-the-go studying.
Edition / Version Details: MSAJCE 2024 Edition:
The Lecture Notes for "Foundations of Data Science" (CS3352) adhere to the MSAJCE 2024 Edition. This edition reflects the latest updates and revisions prescribed by MSAJCE (representing a specific institution or organization). By aligning with the 2024 Edition, the Lecture Notes ensure that students have access to relevant and up-to-date content that is in line with the current syllabus and curriculum standards.
Conclusion:
The Lecture Notes for "Foundations of Data Science" (CS3352) in the MSAJCE 2024 Edition serve as a valuable resource for students pursuing Information Technology programs. They provide comprehensive coverage of data science principles and techniques, enabling students to build a solid understanding of this rapidly evolving field. By utilizing these Lecture Notes, students can enhance their knowledge and skills in data science and prepare themselves for future career opportunities in this domain.
CS3352-LN 1.pdf (Size: 1.95 MB / Downloads: 0)
