Cloud and Web Services_(2024-26)

    CO1 To understand the need of cloud based services.
    CO2 To learn to manage cloud and web based management services.
    CO3 To analyze the current framework of cloud based systems.
    CO4 To be able to design a successful plan to migrate to CWS.
    CO5 To Understand the fundamentals of cloud web services, including migrating to the cloud, business planning and preparation for migration, design principles, and validation processes.
    Catalogue Code: T3654
    Course Type: Open Elective
    Total Credit: 2
    Credits (Theory): 2
    No. of Hours: 30
    Internal Marks: 60
    External Marks : 40
    Total Marks: 100
    Experiential Learning: Yes
    Course Code: 0212410331

    HR Analytics (BA)_(2024-26)

      CO1 Analyze and interpret HR initiatives within a business context, evaluating their impact and significance to develop informed strategies for addressing contemporary issues effectively.
      CO2 Utilize advanced analytics techniques to interpret HR business indicators and apply HR business-focused matrices proficiently, enabling data-driven decision-making and organizational performance assessment.
      CO3 Employ sophisticated workforce analytics techniques to explore and synthesize HR data, establishing robust linkages with business decisions, and communicate insights effectively through various reporting techniques.
      CO4 Utilize advanced HR forecast techniques to accurately predict workforce trends, design performance management strategies aligned with organizational goals, and integrate analytics into leadership development initiatives seamlessly.
      CO5 Conduct comprehensive social network analysis to evaluate social capital, and proficiently apply a wide range of tools for HR analytics, drawing actionable insights from diverse case studies to inform strategic HR decision-making.
      Catalogue Code: T2685
      Course Type: Open Elective
      Total Credit: 2
      Credits (Theory): 2
      No. of Hours: 30
      Internal Marks: 60
      External Marks : 40
      Total Marks: 100
      Experiential Learning: Yes
      Course Code: 0212410332

      Operations Analytics_(2024-26)

        CO1 Develop proficiency in quantitative and qualitative methods used to analyze and optimize operations.
        CO2 Understand the application of techniques in real-world scenarios to improve resource allocation, production scheduling, and logistics.
        CO3 Analyze, and interpret data to make informed decisions that enhance operational efficiency and effectiveness.
        CO4 Determine parameters of selected optimization models for business situations
        CO5 Design relevant conceptual optimization frameworks to business situations
        Catalogue Code: T2687
        Course Type: Open Elective
        Total Credit: 2
        Credits (Theory): 2
        No. of Hours: 30
        Internal Marks: 60
        External Marks : 40
        Total Marks: 100
        Experiential Learning: Yes
        Course Code: 0212410333

        Risk Analytics_(2024-26)

          CO1 The student will be able to assess the risk
          CO2 The student will be able to assess the credit assessment tools and models
          CO3 The student will be able to validate credit risk models
          CO4 The student will be able to calibrate risk models
          CO5 The student will be able to analyze and model credit risk with software
          Catalogue Code: T2690
          Course Type: Open Elective
          Total Credit: 2
          Credits (Theory): 2
          No. of Hours: 30
          Internal Marks: 60
          External Marks : 40
          Total Marks: 100
          Experiential Learning: Yes
          Course Code: 0212410334