Course Outcome (CO) 1 The students will be able to analyze historical data to identify trends and patterns
Course Outcome (CO) 2 The students will be able to evaluate appropriate forecasting accuracy metrics
Course Outcome (CO) 3 The students will be able to generate forecasts using additive and multiplicative models to real-world data
Course Outcome (CO) 4 The students will be able to develop regression models to forecast
Course Outcome (CO) 5 The students will be able to apply ARIMA models to forecast different types of time series data
Course Outcome (CO) 2 The students will be able to evaluate appropriate forecasting accuracy metrics
Course Outcome (CO) 3 The students will be able to generate forecasts using additive and multiplicative models to real-world data
Course Outcome (CO) 4 The students will be able to develop regression models to forecast
Course Outcome (CO) 5 The students will be able to apply ARIMA models to forecast different types of time series data
Catalogue Code: T2209
Course Type: Generic Core Course
Total Credit: 2
Credits (Theory): 2
No. of Hours: 30
Internal Marks: 60
External Marks : 40
Total Marks: 100
Experiential Learning: Yes
Course Code: 212410410
Floating Credit: No
Audit Course: No