B.Sc. in Statistics (STMDC234)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, describe random and non-random experiment. CO2 UNDERSTANDING Explain basic concepts of probability. Create sample space for some random experiment and identify the events and their types. CO3 APPLYING Apply the theory of probability to various real-life situations to find the probability of different types of events. CO4 ANALYSING Explain definition of independence of events, concept of conditional probability, Bayes’ theorem. CO5 EVALUATING CO6 CREATING
B.Sc. in Statistics (STM233)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the basic concept of probability distributions, including pmf, pdf, and cumulative distribution functions. Recall fundamental concepts of index numbers, time series, and vital statistics. CO2 UNDERSTANDING Understand the concept of discrete and continuous probability distributions and their properties. Understand the construction and properties of Index Numbers, components of times series, and principles underlying vital statistics. CO3 APPLYING Apply probability distributions to solve real-life problems including calculating probabilities and expected values. Apply appropriate methods for constructing index numbers, analyzing time series data, and computing vital statistical measures like birth and death rates. CO4 ANALYSING Analyse and compare different probability distributions to select the appropriate model for specific real-life applications. Analyze trends, seasonal variations, and cyclical fluctuations in time series data and evaluate the accuracy of index numbers and vital statistics. CO5 EVALUATING Evaluate the suitability and performance of probability distribution models in representing data. Evaluate the effectiveness of index numbers, time series, and vital statistics in real-world applications. CO6 CREATING Develop probabilistic models using appropriate probability distributions to address complex problems in a practical context. Design models for forecasting time series data and construct new index numbers or vital statistical measures for specific situations.
B.Sc. in Statistics (STM232)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall fundamental concepts of index numbers, time series, and vital statistics. CO2 UNDERSTANDING Understand the construction and properties of Index Numbers, components of times series, and principles underlying vital statistics CO3 APPLYING Apply appropriate methods for constructing index numbers, analyzing time series data, and computing vital statistical measures like birth and death rates. CO4 ANALYSING Analyze trends, seasonal variations, and cyclical fluctuations in time series data and evaluate the accuracy of index numbers and vital statistics. CO5 EVALUATING Evaluate the effectiveness of index numbers, time series, and vital statistics in real-world applications. CO6 CREATING Design models for forecasting time series data and construct new index numbers or vital statistical measures for specific situations.
B.Sc. in Statistics (STM231)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the basic concept of probability distributions, including pmf, pdf, and cumulative distribution functions. CO2 UNDERSTANDING Understand the concept of discrete and continuous probability distributions and their properties. CO3 APPLYING Apply probability distributions to solve real-life problems including calculating probabilities and expected values. CO4 ANALYSING Analyse and compare different probability distributions to select the appropriate model for specific real-life applications. CO5 EVALUATING Evaluate the suitability and performance of probability distribution models in representing data. CO6 CREATING Develop probabilistic models using appropriate probability distributions to address complex problems in a practical context.
B.Sc. in Statistics (STSEC126)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Remember Excel functions, data validation tools. CO2 UNDERSTANDING Understand Advanced Excel formula and other data validation tools. CO3 APPLYING Apply pivoting technique to summarize the real-life data. Apply slicers to the data in excel. Applying page layout to excel worksheet. CO4 ANALYSING Analysing data using advanced excel functions and techniques. CO5 EVALUATING Summarize the data using suitable filtering and pivot table techniques. CO6 CREATING Students can visualize the data using charts and slicers.
B.Sc. in Statistics (STMDC124)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, data and data types. CO2 UNDERSTANDING Understand basic concepts of discrete and continuous data and their measures of central tendency and dispersion. CO3 APPLYING Apply the different central measures and dispersion on various kinds of data. CO4 ANALYSING Analyze different methods of central tendency and methods of dispersion. CO5 EVALUATING Compute the measures of central tendencies and measures of dispersions CO6 CREATING Students can summarize the data numerically for real-life data analysis problems.
B.Sc. in Statistics (STE123)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, data and data types. CO2 UNDERSTANDING Understand basic concepts of discrete and continuous data and their measures of central tendency and dispersion. CO3 APPLYING Apply the different central measures and dispersion on various kinds of data. CO4 ANALYSING Analyze different methods of central tendency and methods of dispersion. CO5 EVALUATING Compute the measures of central tendencies and measures of dispersions CO6 CREATING Students can summarize the data numerically for real-life data analysis problems.
B.Sc. in Statistics (STM122)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, describe random and non-random experiment. CO2 UNDERSTANDING Explain basic concepts of probability. Create sample space for some random experiment and identify the events and their types. Understand the types of random variables. CO3 APPLYING Apply the theory of probability to various real-life situations to find the probability of different types of events. CO4 ANALYSING Explain definition of independence of events, concept of conditional probability, Bayes’ theorem. CO5 EVALUATING Justify the random variables in given situation and find the mathematical expectation and moment generating function. CO6 CREATING
B.Sc. in Statistics (STM121)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Recall the principle of counting, describe random and non-random experiment. CO2 UNDERSTANDING Explain basic concepts of probability. Create sample space for some random experiment and identify the events and their types. Understand the types of random variables. CO3 APPLYING Apply the theory of probability to various real-life situations to find the probability of different types of events. CO4 ANALYSING Explain definition of independence of events, concept of conditional probability, Bayes’ theorem. CO5 EVALUATING Justify the random variables in given situation and find the mathematical expectation and moment generating function. CO6 CREATING
B.Sc. in Statistics (STSEC116)
Course Outcomes CO COGNITIVE ABILITIES COURSE OUTCOMES CO1 REMEMBERING Remember Excel shortcuts CO2 UNDERSTANDING Understand Excel formulas (relative and absolute). Understand basic functions of Excel. CO3 APPLYING Describe the sample data with suitable Excel functions like sum, average, median, var, stdev, etc. CO4 ANALYSING Analyze the sample data from various domains using Excel. CO5 EVALUATING Summarize the data using suitable charts and graphs. Summarize the data using Excel basic functions. CO6 CREATING Students can visualize the data graphically and summarize the data numerically for real-life data analysis problems.
