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1. Taxation and Compliance Unit – 07 Prof Rashmi Mangla

2. 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.

3. Teaching-Learning-Evaluation-Plan (TLEP) Week 1 2 nd March 2024 – 8 th 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

4. Teaching-Learning-Evaluation-Plan (TLEP) Week 2   9 th March 2024 – 15 th 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

5. Taxation

6. 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.

7. 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.

8. 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

9. 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.

10. Teaching-Learning-Evaluation-Plan (TLEP)