Cloud Computing for IOT Introduction.pptx

CLOUD COMPUTING FOR IoT

1. 21CSC313J- Cloud Computing for IoT Subject Introduction

2. Course Objective Course Learning Rationale (CLR): The purpose of learning this course is to: CLR-1: Restate the Applications, Platform and Cloud services. CLR-2: Label the different levels of cloud platforms and various laws. CLR-3: State Cloud applications and new opportunities CLR-4: Recognize the security levels and privacy of several layers of IoT CLR-5: Evaluate the Authentication and Security of IoT.

3. Course Outcomes (CO): Course Outcomes (CO): At the end of this course, learners will be able to: CO-1: Memorize the essentials of Applications, Platform and Cloud services. CO-2: Categorize different levels of cloud platforms and IoT systems. CO-3: Demonstrate new opportunities and cloud applications CO-4: Analyze the different security levels and privacy of several layers of IoT CO-5: Assess their knowledge of the Authentication and Security of IoT.

4. Theory Syllabus

5. Lab experiments

6. Learning assessment

7. Internal Overall Assessment Plan Sl. No. Component Type Marks 1 Cycle Test - I   Written Test   15 Lab Test 7.5 2 Cycle Test - II   Written Test   20 Lab Test 7.5 3 Assessment (Case Study)   Content Submission & Presentation  5   4 Online course Certificate 5   Total Marks 60

8. Case study Assessment Test Tentative date of evaluation Marks Split-up     Case study Assessment     04-10-2024       Marks - 5     Content: 3 Marks a. Identification of problems b. Comments on effective solutions c. Links to case study and Additional research   2. Presentation: 2 Marks a. Delivery b. Visuals c. Staging d. Involvement e. Response to queries  

9. Online course Test Tentative date of Evaluation Marks Split-up     AWS Academy Cloud Foundations Or 2. AWS Academy Data Engineering     End of October 2024       Total: 5 marks       Completion of Certificate: 5 Marks Not Completion of Certificate : 0 Marks