This course introduces the student to the theory, concepts, and business application of human resources data, metrics, systems, analyses, and reporting. The student will develop an understanding of the role and importance of HR analytics, and the ability to track, store, retrieve, analyze and interpret HR data to support decision making. The course also covers the most common HR analytics tools, with a particular focus on the use of Microsoft Excel to explore a set of techniques you can use in organizing, analyzing, and presenting your HR data. The pedagogy involved is through facilitated discussions, individual and group activities, case scenarios, hands-on lab sessions and self-assessments.
2. Student Learning Outcomes
On completion of the course participants will be able to:
· Give examples of the value analytics brings to human resources (HR) · Generate a list of HR benchmarks and metrics relevant to an organization’s mission or goals · Employ appropriate software to record, maintain, retrieve and analyze human resources information (e.g., staffing, attrition, performance ratings information) · Apply quantitative and qualitative analysis to understand trends and indicators in human resource data · Able to interpret outcomes in the context of the domain
3. Reading Material
Handbook compiled through various sources Supplemental reading materials, as may be required, will be given time to time.
4. Tentative Session Plan
5. Evaluation
· Quiz 20 · Class Participation 10 · Assignments / Exercises 30 · End-term Examination 40
6. Academic Integrity
Broad Course Guidelines
Your attitude towards the course material will influence your learning and performance. The skills you will acquire in this course will be very useful, irrespective of your future roles in any business. You are responsible for all of the materials covered in class and in the textbook, even if you were absent for the classroom session. You are free to meet your instructor in connection with homework assignments and to clarify any concepts from the lecture, with appointment. All homework/group assignment topics will be intimated in class or by email or uploaded on the Course Web/AIS. Assignment submissions will not be accepted after due date/time.
Course Conduct
You will not indulge in any disruptive activities during the class lecture and discussions/presentations. If the instructor discovers any such activity, you will be adequately penalized. Students not attending classes should ensure responsibility for the class coverage and announcements. Mobile phones are not allowed inside the class room. Laptops may be brought to the class when instructed to do so (for the specific class/es). Adopting unfair means or mal-practice/s, or plagiarism in any form will make you eligible to get an F grade in the entire course.
Class Participation
Class participation is an important component for the class to be engaging and meaningful. Obviously, you must attend classes in order to participate. You should provide meaningful contribution to the class through comments and discussion during case study discussions throughout the course. Attendance will also be used to decide on the marks for your class participation component.
Note: Case handouts will be given to all the students separately at the beginning of the session. Your instructor reserves the right to alter any of the above. All change/s will be announced in class, via e-mail, or will be updated on the course AIS. Additional reading material will be uploaded on AIS or sent via group mail, if required.
Created By: Bijoy Kar on 03/14/2016 at 06:33 PM Category: MBA-HRM T-IV Doctype: Document