| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 2nd Semester
Course Coordinator and Team:Nidhi Kaicker
Email of course coordinator:nidhi[at]aud[dot]ac[dot]in
Pre-requisites: None
Aim: The objective of the course is to equip the participants with theoretical, computational, and interpretive issues of multivariate techniques.
Course Outcomes:
At the end of the course, the participants will be able to:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 2nd Semester
Course Coordinator and Team:SBPPSE PhD Programme Coordinator
Email of course coordinator:Kanwal[at]aud[dot]ac[dot]in
Pre-requisites: None
Aim: The aim of this course is to offer participants an insight and tools to manage their research, research education, their work/life balance and collaborate with their supervisor.
Course Outcomes:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: Semester 1; 1st year
Course Coordinator and Team: Dr. Richa Awasthy
Email of course coordinator: richa[at]aud[dot]ac[dot]in
Pre-requisites:
Course Objectives/Description:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: Semester I in Year I
Course Coordinator and Team: Kalindi Maheshwari
Email of course coordinator: Kalindi[at]aud[dot]ac[dot]in
Pre-requisites: Nil
Aim The objective of this course is to help participants to develop communication skills, discover what business communication is all about and learn how to adapt their communication experiences in life and college to the business world.
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 1st Semester
Course Coordinator and Team:
Email of course coordinator:
Pre-requisites:
Aim: The course is a fundamental course in business statistic. The course is designed to introduce basics of data collection, preparation, descriptive and inferential statistics in context to business decision making. The course will be focus on conducting statistical analysis with software tools.
Course Outcomes:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: Semester 1: Slot – 2, 1st year
Course Coordinator and Team:
Email of course coordinator:
Pre-requisites:
Course Objectives/Description:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 1st Semester
Course Coordinator and Team: Nidhi Kaicker
Email of course coordinator: nidhi[at]aud[dot]ac[dot]in
Pre-requisites: None
Aim: To provide students with a basic understanding of the economic theory and analytical tools that can be used in decision making problems.
Course Outcomes: At the end of the course, the participants will be able to:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 1st Semester
Course Coordinator and Team: Nidhi Kaicker
Email of course coordinator: nidhi[at]aud[dot]ac[dot]in
Pre-requisites: None
Aim: To provide students with a basic understanding of the economic theory and analytical tools that can be used in decision making problems.
Course Outcomes: At the end of the course, the participants will be able to:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 1st Semester
Course Coordinator and Team:
Email of course coordinator:
Pre-requisites: None
Aim: The course provides students with a sound conceptual understanding of the role that management science plays in the decision making process. It emphasizes the application of a wide variety of quantitative techniques to the solution of business problems.
Course Outcomes:
| Course Type | Course Code | No. Of Credits |
|---|---|---|
Semester and Year Offered: 1st Semester
Course Coordinator and Team: Prof. Kartik Dave
Email of course coordinator: kartik[at]aud[dot]ac[dot]in
Pre-requisites: NA
Course Objective: The objective of the course is to develop an understanding of the concepts, issues and strategies involved in marketing of products and services.
Course Outcomes: On successful completion of this course, the participants will be able to:
डॉ. बी. आर. अम्बेडकर विश्वविद्यालय दिल्ली 
