Search results: 1466
- Teacher: SRILATHA K
COURSE OBJECTIVES
- To understand the basic principles and concepts of Artificial Intelligence and Data Science.
- To gain knowledge of various machine learning algorithms and their applications.
- To develop skills in data preprocessing, feature engineering, and model evaluation.
- To explore ethical considerations and challenges associated with AI and Data Science applications
COURSE OUTCOMES
On completion of the course, students are able to
CO1 - Analyze the software and hardware requirements to work with AI Algorithms.
CO2 - Simulate given problem scenario using appropriate AI libraries.
CO3 - Develop AI programming solutions for given problem scenario.
CO4 - Implement deep learning algorithms and solve real-world problems.
CO5 - Implement AI based edge computing solutions using GPUs.
CO6 - Analyze the performance of various ML algorithms for a specific application.

- Teacher: MOHANA PRIYA G
- Teacher: MUTHIAH M. A
This course contains 5 units
Introduction to Astronomy , Different optical Techniques, Evolution-Formation And structure of Stars, Sun and Solar System and Space Astronomy

- Teacher: Helen Merina Albert
Audio Production theory : In this subject students can learn fundamental of Acoustics and Threshold of Hearing, Decibel,
Microphone and Loud Speakers. Theoretically understand The basics of Mic placement of Music Instruments. Also, They
Can learn Advanced Sound Recording Techniques. the importance of Audio Sampling and Cable & Connectors and
Recording and Reproduction Auro -3d Surround System.

COURSE OUTCOMES On completion of the course, student will be able to
CO1 - Understand the construction details of various types of automotive Frames and basic Chassis layouts
CO2 - Understand the basic function steering system and steering components
CO3 - Select the appropriate transmission system for various automobiles
CO4 - Comprehend the final drive system of a vehicle.
CO5 - Apply the knowledge for selection of suitable axles, wheels and tyres for a vehicle.
CO6 - Distinguish various types of suspension system, brake system.

The objectives of the course include to enable the students to understand the origin
and development of English drama thereby to critically appreciate the trends that influenced the theatre and drama.
The course provides them an insight into popular culture and its dramatic expressions.

- Teacher: Sowmiya L.M.

- Teacher: SAHANA ASHOKUMAR
- Teacher: MOHANAPRIYA M
- Teacher: Sathiya Priya M
- Teacher: V. POOJASREE
- Teacher: S B Reshma John
- Teacher: Manas Unnikrishnan
- Teacher: Jayashree S
- Teacher: Vanitha S
COURSE OUTCOMES
On completion of the course, student will be able to
- CO1 - Attain in-depth knowledge and understanding of the big data technologies.
- CO2 - Understand the various search methods and visualization techniques for big data analytics.
- CO3 - Demonstrate the principles of bi data analytics using Big Data tools, Big Data Querying Tools, such as Pig, Hive and Impala.
- CO4 - Design and build big data applications and analyze issues in data storage, data privacy and security.
- CO5 - Demonstrate various techniques for mining data stream and applications using Map Reduce Concepts.
- CO6 - Use advanced analytical tools/ decision-making tools/ operation research techniques to analyze the complex problems.
- Teacher: MUTHIAH M. A
COURSE OBJECTIVES
- Provide the basics of organization of big data, architectural issues of big data tools.
- Study on Modern databases which currently exist in the field of computer science.
COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Attain in-depth knowledge and understanding of the big data technologies.
CO2 - Understand the various search methods and visualization techniques for big data analytics. CO3 - Demonstrate the principles of bi data analytics using Big Data tools, Big Data Querying Tools, such as Pig, Hive and Impala.
CO4 - Design and build big data applications and analyze issues in data storage, data privacy and security.
CO5 - Demonstrate various techniques for mining data stream and applications using Map Reduce Concepts.
CO6 - Use advanced analytical tools/ decision-making tools/ operation research techniques to analyze the complex
problems.

- Teacher: MUTHIAH M. A
COURSE OBJECTIVE:
- Gain knowledge of the context, concepts and process of entrepreneurship. Be better able to conceive and develop entrepreneurial opportunities. Be able to determine the feasibility of a new business concept.
Unit: I Project planning 12 Hrs
scope – problem statement – project goals – objectives – success criteria –
assumptions – risks – obstacles – approval process – projects and
strategic planning. Project implementation – project resource requirements –
types of resources – men –materials, finance. Case studies.
Unit: II Project monitoring 12 Hrs
Evaluation – control – project network technique –planning for monitoring and evaluation – project audits – project management information system – project scheduling – PERT & CPM –project communication – post project reviews and Case studies. Project team management – recruitment – organizing – human resources – team operating rules – project organization – various forms of project organizations. Closing the project – types of project termination – strategic implications – project in trouble – termination strategies – evaluation of termination possibilities.
Unit: III Fundamentals of Entrepreneurship 12 Hrs
Ideas to Reality, Proof of Concepts to Product realization, Strategic Management, Forms of Ownership and Franchising, Buying an existing Business, Business Models, Mobilization of Financial resources; Bank loans & Venture capitalism. Building a good Marketing Plan, Concepts in MSME. Accounting for planning, control, and motivation. Factors influencing capital acquisition and allocation. Financial decision making; Decision making under uncertainty; positive and normative models; Current issues in financial management. Case studies.
Unit: IV Industrial R&D and product development 12 Hrs
Product development and project management in Agri, Pharma, Health and other biotech industries. Overview of issues and techniques involved in conducting & outcome of research. The multidisciplinary nature of outcomes research: research design and methods, data collection measurement instruments and clinical endpoints, quality of life issues, behavior change, and cost-effectiveness. Analysis Transition from R&D to business units. Product development, market learning and transition from R&D. Management of radical innovation technologies vs. stage gate approach in product development. Case studies.
12 Hrs
Unit: V Rights and responsibilities of business
under the Indian Constitutional system.
Basic standards, rules, principles and issues relating to the law of
corporations; core issues affect the corporate governance of business;
relationship between management, boards and shareholders. Business laws
applied to Biotech industries. Regulatory issues in Biotech industries with
special reference to clinical trial of pharma products and field trials of
Agricultural products. Regulatory processes details. Intellectual property
in biotech. Business. Models around intellectual property, licensing issues.
Product development for commercial ventures. Bioethics and Current legal
issues. Ethics of new technology. Case studies.

- Teacher: Dayanandan Anandan





