3. Faculty Profile
Prof. Rashmi Mangla
Assistant Professor
Ms. Rashmi Mangla is currently working as an Assistant Professor at Jain Online. Her area of
specialization is Finance and Accounting. She has 6 years of experience in teaching in various institutions.
She has qualified UGC-NET and is currently pursuing Ph.D. in Finance from Amity University. She has
completed her Master of Commerce degree from Jamia Millia Islamia and is a commerce graduate from
University of Delhi. She has also done B.ed in commerce from Maharishi Dayanand University. She
believes in fostering an interactive and engaging learning environment. She encourages active participation
and critical thinking, aiming to develop students into well-rounded professionals.
As a dedicated educator at Jain Online, She’s committed to shaping the next generation of professionals
and contributing to the field of higher education.
4. Teaching-Learning-Evaluation-Plan (TLEP)
Week 1 2nd March 2024 – 8th March
2024
Introduction to Computerized
Accounting
Quadrant 1
eContent
2. Watch the eLearning content on “L1: Introduction to Computerized
Accounting
3. Read the eLM on “Unit 1: Introduction to Computerized
Accounting”.
Quadrant 2
eTutorial
1. Revise “L1: Introduction to Computerized Accounting” recording of
the live Session
5. Attend the live session #1 on “Computerized Accounting”.
Quadrant 3
eAssessment
4. Take the formative assessment for “L1: Introduction to
Computerized Accounting”.
6. Repeat the formative assessment for “L1: Introduction to
Computerized Accounting” for self-assessment
7. Attempt solving the MCQs on “Introduction to Computerized
Accounting”.
Quadrant 4
Discussions
8. Participate in collaborative learning by discussing the Self-
Assessment Questions
5. Teaching-Learning-Evaluation-Plan (TLEP)
Week 2 9th March 2024 – 15th March
2024
Setting up a Computerized
Accounting System
Quadrant 1
eContent
2. Watch the eLearning content on “L2: Setting up a Computerized
Accounting System”
3. Read the eLM on “Unit 2: Setting up a Computerized Accounting
System”
Quadrant 2
eTutorial
1. Revise “L2: Setting up a Computerized Accounting System” recording
of the live Session
5. Attend the live session #2 on “Setting up a Computerized Accounting
System”
Quadrant 3
eAssessment
4. Take the formative assessment for “L2: Setting up a Computerized
Accounting System”
6. Repeat the formative assessment for “L2: Setting up a Computerized
Accounting System” for self-assessment
7. Attempt solving the Problems for Practice #2 on “Setting up a
Computerized Accounting System”
Quadrant 4
Discussions
8. Participate in collaborative learning by discussing the Problems for
Practice #2
7. Forecasting Technique
It involves predicting future trends, events, or outcomes based on
historical data, economic indicators, industry trends, and other
relevant factors.
Forecasting involves analysing data to make predictions on the
business's future financial performance. Forecast figures are what
management will expect the business to attain. Just like budgeting,
a range of current and historical data will need to be analysed to
come up with the desired figures. The budget is used to achieve (as
much as possible) the forecasted figures.
8. Forecasting Techniques
Trend Analysis: Trend analysis involves examining historical data to
identify patterns or trends that can be extrapolated into the future.
This method assumes that past trends will continue into the future.
Trend analysis can be applied to various financial
metrics such as sales revenue, expenses, profit margins,
marketshare, and customer demand. Graphical methods like line
charts or time-series plots are often used to visualize trends over
time.
9. Forecasting Techniques
Regression Analysis: Regression analysis is a statistical technique
used to identify and quantify the relationship between two or more
variables. It is particularly useful for understanding the impact of
one or more independent variables on a dependent variable. In
financial forecasting, regression analysis can be used to predict
outcomes such as sales revenue, based on factors like advertising
spending, economic indicators, or customer demographics. By
analyzing historical data, regression models can be developed to
make predictions about future performance
10. Forecasting Techniques
Qualitative Forecasting: Qualitative forecasting methods rely on
subjective judgment, expert opinions, or qualitative data to predict
future outcomes. These methods are often used when historical data
is limited, unreliable, or not applicable.
Qualitative forecasting techniques include Delphi method, market
research, expert opinion polls, scenario analysis, and focus groups.
